,Unnamed: 0,target_text
0,0,What is XOR problem
1,1,What are the benefits of backing up data
2,2,What is meant by random processes with the help of suitable example explain random processes in detail
3,3,What is one example of a continuous variable
4,4,How do you know if a decision tree is Overfitting
5,5,Which is the syntax for 2 matrix multiplication in R is
6,6,Which operator is used for matrix multiplication R
7,7,What is a direct product of two matrices
8,8,How do you multiply a matrix by a vector in R
9,9,How does the confidence level affect the confidence interval
10,10,What does a confidence interval mean
11,11,What is confidence interval vs confidence level
12,12,What is the relationship between a chosen level of confidence for a confidence interval and how wide that interval is
13,13,What is the difference between priori and posteriori
14,14,What is meant by a priori probability
15,15,What is meant by the a posteriori probability
16,16,What does the standard error of estimate tell you
17,17,What is standard error of estimate how is it measured
18,18,What does the standard error of estimate see measure and what can this tell us about how well our linear regression models Data
19,19,How do you read correspondence analysis
20,20,What is correspondence analysis in SPSS
21,21,What is hog in image processing
22,22,What are the topics in machine learning
23,23,What is binomial state
24,24,What does the binomial coefficient mean
25,25,Why neural networks is better
26,26,Why neural network is better than random forest
27,27,What are the advantages of neural networks in machine learning
28,28,Why algorithms can be biased
29,29,Can machine learning be biased
30,30,How do you determine data bias
31,31,What simple regression tells us
32,32,What does regression tell us in statistics
33,33,How do you find the maximum and minimum of a function with two variables
34,34,Can a function have 2 variables
35,35,How do you find the function of two variables
36,36,What does a regression model do
37,37,What is the difference between a population linear model and an estimated linear regression model
38,38,What do you mean by collaborative filtering
39,39,What is collaborative filtering in machine learning
40,40,Is Time Series A machine learning
41,41,Is Arima machine learning
42,42,Is time series a forecasting technique
43,43,Why is a binomial negative
44,44,What is the mean of a negative binomial distribution
45,45,What is a two way Anova examples
46,46,What is the difference between one way and two way Anova
47,47,What does a confidence interval tell us
48,48,How is confidence interval calculated
49,49,How do learning algorithms work
50,50,What is the meaning of machine learning algorithms
51,51,What is N Shot learning
52,52,What does zero shot mean
53,53,How do you calculate Heteroskedasticity in regression
54,54,What is the solution to the Monty Hall problem
55,55,Should you switch in the Monty Hall problem
56,56,What does coefficient of variance tell us
57,57,What are the uses of coefficient of variation
58,58,What does COV mean in statistics
59,59,What is complex random sampling
60,60,What is the difference between random and systematic sampling provide an example of when you would use each type of sampling
61,61,Why is systematic sampling used
62,62,How do you run a TensorBoard
63,63,How do you stop a TensorBoard
64,64,How do you show a TensorFlow graph
65,65,How do you solve for probability
66,66,How do you know if it is a one tailed or two tailed test
67,67,What is a two tailed test example
68,68,How do you do a two tailed hypothesis test
69,69,Does regularization increase bias
70,70,What is Bayesian network or belief network
71,71,What are the differences between naive Bayesian classifier and Bayesian belief network
72,72,What does L2 regularization do
73,73,What is L2 regularization in deep learning
74,74,What is L2 and L1 Regularisation
75,75,What effect does L2 Regularisation have on the weights of the neural network
76,76,What does a high AIC mean
77,77,What does a low AIC mean
78,78,What is the difference between one tailed and two tailed P values
79,79,Is standard deviation based on mean or median
80,80,How do you find the median with standard deviation
81,81,When should standard deviation not be used
82,82,How is statistics used in data analysis
83,83,How is statistics used in machine learning
84,84,How do you prepare statistics for data science
85,85,How is AB testing done
86,86,What is control and treatment for AB test
87,87,Why DCT is used in image processing
88,88,How FFT algorithm is faster compared to DFT
89,89,What is Poisson arrival rate
90,90,What is Poisson distribution and exponential distribution
91,91,What is lambda in regression
92,92,How do you select lambda in ridge regression
93,93,How do you make a log normal distribution
94,94,How do you plot a lognormal distribution in R
95,95,What is the structure of the lognormal distribution
96,96,How do you plot a lognormal distribution in Matlab
97,97,How is Kappa inter rater reliability calculated
98,98,Why are Boltzmann Machines restricted
99,99,What are the 2 layers of restricted Boltzmann machine called
100,100,How do you find the covariance between X and Y
101,101,What is covariance of X and X
102,102,How do you calculate the covariance
103,103,What is the variance of XY
104,104,What does density function mean
105,105,How do you know if a joint distribution is independent
106,106,How do you calculate degree of freedom in regression
107,107,What is degrees of freedom in regression
108,108,Why do we use n 2 degrees of freedom in regression
109,109,What is meant by statistical significance
110,110,What does it mean when we say that an algorithm X is asymptotically more efficient than Y Mcq
111,111,What does asymptotically efficient mean
112,112,What do you mean by efficiency of algorithm
113,113,What is cross entropy error
114,114,Is cross entropy a distance
115,115,When did facial recognition become popular
116,116,Can you do correlation with categorical variables
117,117,How do you test for multicollinearity among categorical variables
118,118,How do you write an unbiased estimator
119,119,What does it mean for a point estimator to be unbiased
120,120,Why sample mean is unbiased estimator
121,121,How do you calculate a regression line
122,122,What is the equation for an S curve
123,123,What is an S curve
124,124,What is the function of bias in neural network
125,125,What is bias in CNN
126,126,How can you tell the difference between a parametric and nonparametric test
127,127,How do you know if a test is non parametric
128,128,What are the types of non parametric test
129,129,How do I retrieve data from twitter
130,130,What is twitter data download
131,131,What is meant by Gaussian filter
132,132,How does Gaussian filter work
133,133,How do you read a TensorBoard histogram
134,134,Is Gaussian filter nonlinear
135,135,Does data have to be normally distributed for regression
136,136,What are the assumptions for using a logistic regression
137,137,Do predictor variables have to be normally distributed
138,138,In which of the following cases will k means clustering fail to give good results
139,139,What are the major drawbacks of K means clustering
140,140,What are the problems associated with the K means clustering algorithm
141,141,What does active learning mean
142,142,What active learning is and how it works
143,143,Why do active learning approaches to teaching and learning help to engage and motivate students to learn
144,144,What are the types of agent in artificial intelligence
145,145,What are the types of agent
146,146,What does a hazard ratio of 0.6 mean
147,147,How is likelihood calculated
148,148,How do you find the maximum likelihood function
149,149,Is the likelihood function a PDF
150,150,What is Fractile in statistics
151,151,What is topic modeling used for
152,152,What is topic Modelling in text mining
153,153,Is Topic Modelling machine learning
154,154,What is the disadvantages of linear
155,155,What are some common drawbacks of the linear regression model What are some ways to overcome them
156,156,What is the strength and weakness of linear model
157,157,What is independent probability
158,158,How do you find independent probability
159,159,What is independent and dependent probability
160,160,What is a hierarchical regression
161,161,What is the difference between hierarchical regression and stepwise regression
162,162,How do you run a hierarchical regression
163,163,How do you change detection in Arcmap
164,164,What is change detection in image processing
165,165,What is randomness and why is it so important
166,166,Why do we need to sample
167,167,What is the most important reason for using random sampling in experiments
168,168,How do you calculate frequency
169,169,Can random forest be used for forecasting
170,170,Why is it called Student t test
171,171,What is the mean of Student's t distribution
172,172,Why is it called at distribution
173,173,What is the difference between normal distribution and Student t distribution
174,174,Why is it called bootstrapping
175,175,What is bootstrapping in regression
176,176,What does mean square error tell you
177,177,Is the likelihood a probability
178,178,Is likelihood and probability the same
179,179,What is the conditional probability
180,180,What is Intel movidius neural compute stick
181,181,What is Intel neural compute stick 2
182,182,Why do we use probability generating function
183,183,Is prediction supervised or unsupervised
184,184,Why do we use histograms in image processing
185,185,How do you use a picture histogram
186,186,How histogram is useful in image enhancement
187,187,Why do we need recurrent neural networks
188,188,How do recurrent neural networks help you understand the impact of sequence on meaning
189,189,How the Bayesian network can be used to answer
190,190,How Bayesian network is beneficial in AI
191,191,How is aspect ratio calculated
192,192,What is the mean of a lognormal distribution
193,193,What is the standard deviation of a lognormal distribution
194,194,What is the mean and variance for standard normal distribution
195,195,How do you find the joint CDF from a joint PDF
196,196,How do you calculate marginal PDF from joint PDF
197,197,What standard unit means
198,198,What is meant by unit
199,199,What is the difference between SI unit and standard unit
200,200,How do you find the state value and action value function
201,201,How many layers has a RBM restricted Boltzmann machine
202,202,What is backward stepwise selection
203,203,What is stepwise regression used for
204,204,What can I use instead of stepwise regression
205,205,Which techniques are used in the decision tree
206,206,How do Decision Trees learn
207,207,What is regression in machine learning with example
208,208,What is meant by regression in machine learning
209,209,What do you mean by regression
210,210,What is feature extraction and classification
211,211,What is meant by features in machine learning
212,212,What does shared weights mean CNN
213,213,What is shared MLP
214,214,What is parameter sharing
215,215,How many variables are required for a regression
216,216,How do you calculate multiple linear regression
217,217,What is quota random sampling
218,218,Why is quota sampling non random
219,219,Whats the difference between a random sample and a simple random sample
220,220,What does a consistent estimator mean
221,221,What does consistency mean in statistics
222,222,What does the variance of an estimator measure
223,223,How do you estimate variance
224,224,What is the variance of a sample
225,225,Is variance biased estimator
226,226,What is the formula for probability mean
227,227,How do you find the mean of the sample mean
228,228,How do you find the probability that the sample mean is between two numbers
229,229,How does ERP improve decision making
230,230,Does 0 correlation imply independence
231,231,Why zero correlation does not mean independence
232,232,What do you mean by clustering
233,233,Can discrete variables be fractions
234,234,How do you do simple linear regression
235,235,What is linear regression explain with example
236,236,How do you do multiple logistic regression in SPSS
237,237,How do you do multinomial logistic regression
238,238,How do you interpret multinomial logistic regression in SPSS
239,239,What are the parameters in SVM
240,240,What is C parameter
241,241,What is multiple testing in statistics
242,242,Which analysis is related with discriminant analysis
243,243,Which is computed using Bayes Theorem
244,244,What is calibrated classifier
245,245,Can SVM return probability
246,246,What is a dropout layer and why is it used
247,247,Is probability a continuous variable
248,248,Is probability discrete or continuous
249,249,What is the difference between online and batch gradient descent
250,250,What is stochastic learning
251,251,What is meant by structured and unstructured data
252,252,What is unstructured data
253,253,Which one is an example of unstructured data
254,254,What is the mean and variance of gamma distribution
255,255,What is the mean of gamma
256,256,What is the mean of a Beta distribution
257,257,Is SVM a classification technique
258,258,What is Arima model in machine learning
259,259,Is Arima a regression model
260,260,How is a scatter plot different from a line graph
261,261,How can you tell if a scatter plot is positive
262,262,How do you identify a scatter plot
263,263,What is parameter and its types
264,264,What are the two types of parameters
265,265,What are different types of function arguments parameters
266,266,What are the applications of anomaly detection
267,267,How do you identify anomalies in time series data
268,268,What does the Fourier transform tell us
269,269,What does Fourier Transform do to a signal
270,270,What is the significance of Fourier series
271,271,How do you test randomness in statistics
272,272,What does randomness mean in statistics
273,273,What is run test for randomness
274,274,How do you analyze a factorial in SPSS
275,275,What is a factorial Anova example
276,276,How do you report a factorial Anova
277,277,What defines an independent event
278,278,What is transferable learning
279,279,How can we reduce Overfitting in transfer learning
280,280,Is a test statistic the same as at score
281,281,What does a negative test statistic mean
282,282,What does Collinearity mean
283,283,What is collinearity in data science
284,284,What is Multicollinearity in machine learning
285,285,What does it mean if a test is statistically significant
286,286,What is the difference between statistical significance and practical significance quizlet
287,287,Can a study be clinically significant but not statistically significant
288,288,How can machine learning accuracy be improved
289,289,How can you improve the accuracy of a ML model
290,290,How can accuracy be improved
291,291,What is IRT used for
292,292,What is an IRT score
293,293,What is classical test theory and item response
294,294,What is test information function
295,295,How do you perform k fold cross validation in R
296,296,How do you do k fold cross validation
297,297,How do I validate a model in R
298,298,What is the parametric equivalent of the Kruskal Wallis test
299,299,What is the non parametric equivalent of the independent t test
300,300,Is Kruskal Wallis a non parametric test
301,301,What types of questions can regression analysis answer
302,302,What is an example of regression analysis
303,303,What is one real life example of when regression analysis is used
304,304,What is the purpose of image processing
305,305,What are the advantages of image processing
306,306,How is image processing used in engineering
307,307,What does least squares regression line mean
308,308,How do you find the least squares regression line in two variables
309,309,What is the difference between discrete and continuous data
310,310,What is quantitative data discrete and continuous
311,311,What is lambda in regularization
312,312,What are layers in TensorFlow
313,313,What is the difference between singular value and eigenvalue
314,314,How many types of learning curves are there
315,315,What is your learning curve
316,316,What are the phases of learning curve
317,317,Why do we take the log of a variable
318,318,How do you interpret log variables in regression
319,319,What are four properties of knowledge representation technique
320,320,What are the characteristics of a good knowledge representation technique explain each of them in brief
321,321,What are the various issues in knowledge representation
322,322,How many predictors can you include in a regression model
323,323,Is null hypothesis statistical significance
324,324,What does statistical significance mean in hypothesis testing
325,325,What does it mean if the standard deviation is less than the mean
326,326,What is the relationship between the standard deviation of the sample mean and the population standard deviation
327,327,Why the sampling distribution is less variable than the population distribution
328,328,Why is the sample mean equal to the population mean
329,329,How is weighted kappa calculated
330,330,What is an acceptable kappa value
331,331,How do you find a random variable
332,332,What is a random variable in stats
333,333,What is the random variable Z
334,334,What is the second moment of a random variable
335,335,What is a realization of a random variable
336,336,What is the moment of a function
337,337,Why Social Media Analytics is important
338,338,How can social media analytics help
339,339,What are the benefits of analytics
340,340,What are supervised and unsupervised learning
341,341,What are unsupervised machine learning algorithms
342,342,How do you find the probability of a probability density function
343,343,What is probability density class 11
344,344,How do you write a probability function
345,345,Is regression A multivariate analysis
346,346,What is multivariate analysis
347,347,What is multivariate multiple linear regression
348,348,Why is linear regression used
349,349,What is regression typically used for
350,350,How do you define a vector field
351,351,How do you find a vector field
352,352,What is the flow of a vector field
353,353,What are the 2 types of t test
354,354,What is the difference between a paired t test and a 2 sample t test
355,355,Which type of t test should I use
356,356,What is the difference between a one sample t test and Az test
357,357,What does the F distribution tell you
358,358,What is the F distribution used for
359,359,What is the meaning of power spectral density
360,360,How do you use power spectral density
361,361,Is Apriori supervised or unsupervised
362,362,Which learning method is an association rule
363,363,What is association rule in data mining
364,364,How does non response bias work
365,365,What does non response bias mean
366,366,What is an example of observer bias
367,367,What is the difference between actor observer bias and self serving bias
368,368,WHO concluded that the actor observer bias is wrong
369,369,During what type of interactions is the actor observer effect is most prevalent
370,370,What is feature extraction in data mining
371,371,What is the example of feature extraction
372,372,What is meant by factor analysis
373,373,How do you perform a factor analysis
374,374,How do you find the number of factors in factor analysis
375,375,What is the best sampling method
376,376,How do you treat outliers in data
377,377,How do you normalize an outlier
378,378,What is RC high pass filter
379,379,How does RC low pass filter work
380,380,How is high pass filter calculated
381,381,What is difference between RC low pass filter and RC high pass filter
382,382,What is a biased point estimator
383,383,What is prior distribution in Bayesian
384,384,How do you calculate posterior predictive distribution
385,385,What is a PDF in statistics
386,386,What is a CDF in statistics
387,387,Is CDF the integral of PDF
388,388,What is a good cross entropy loss value
389,389,What are the properties of regression analysis
390,390,How do you describe regression analysis
391,391,What are the 2 variables in a regression analysis
392,392,What are the objectives of regression analysis
393,393,What is mixed model regression
394,394,Is there a difference between mean and median
395,395,What is geometric mean
396,396,Why does ReLU work better than sigmoid
397,397,How does KNN algorithm work
398,398,How does Knn determine k value
399,399,How do you use Knn in regression
400,400,Is cluster sampling a random sampling method
401,401,Which sampling methods are random
402,402,What is a non random sample
403,403,Is Lstm an algorithm
404,404,Under what condition regression analysis is best suitable for prediction
405,405,How do you know if a regression model is appropriate
406,406,How do you transform data that is not normally distributed
407,407,How do you change a normal distribution to a standard normal distribution
408,408,What allows us to apply normal calculations to non normal distributions
409,409,What do you do with non normal distribution
410,410,How do Z scores related to normal distribution
411,411,How does the distribution of z scores compare to the relationship between the standard deviation and the normal distribution
412,412,Are Z scores restricted to normal distributions
413,413,Is Z distribution the same as normal distribution
414,414,What is considered a good NPS score
415,415,What are the parameters of random forest
416,416,Why do we need assumptions in machine learning
417,417,Is Random Forest a regression model
418,418,Which are the two main criteria on which we can judge an algorithm
419,419,What are the two characteristics of algorithm
420,420,What are the 2 kinds of algorithm efficiency
421,421,How do you find the MLE of a Poisson distribution
422,422,How do you calculate Poisson parameter
423,423,What is connectionism theory of learning
424,424,What is the effect of the finite population correction factor on a sample based estimate
425,425,What is a finite sample
426,426,How do you calculate proportions
427,427,How do you find the mean of a sample size and proportion
428,428,What is proportion percentage in statistics
429,429,What is a continuous random variable give some examples
430,430,What is a continuous random variable
431,431,What are two examples of continuous variables
432,432,Is age a continuous random variable
433,433,Why we use k fold cross validation
434,434,How do you select K fold cross validation
435,435,Is enthalpy the opposite of entropy
436,436,How do you reverse entropy
437,437,Is there negative entropy
438,438,Is entropy the same as chaos
439,439,Can generative models be used for classification
440,440,Where can I get sample data sets
441,441,How do I download a dataset
442,442,How do you collect a dataset
443,443,What is cross sectional and time series data
444,444,What is the difference between panel data and cross sectional data
445,445,Why is Multicollinearity bad
446,446,Is Multicollinearity a potential problem
447,447,How do you know if multicollinearity is a problem
448,448,Why Multicollinearity increases standard error
449,449,What does effect size tell us in statistics
450,450,How do you explain effect size
451,451,What does a large effect size mean in statistics
452,452,Is Monte Carlo a Bayesian
453,453,Why is MCMC Bayesian
454,454,Where is MCMC used
455,455,Is MCMC machine learning
456,456,What can you do with edge detection
457,457,What is meant by edge detection
458,458,How do you use cosine similarity
459,459,Which algorithm is used for clustering
460,460,What are the steps in designing a machine learning problem explain the checkers problem
461,461,How do you check the value of a tensor
462,462,How do you measure a tensor
463,463,How do you read a TensorFlow graph
464,464,What is discriminant analysis in machine learning
465,465,Is LDA a classifier
466,466,What is LDA used for
467,467,What is the null hypothesis for a chi square test
468,468,How do you cross tabulate data
469,469,Is two way Anova Multivariate
470,470,What type of analysis is Anova
471,471,Is Anova a bivariate analysis
472,472,How do you find the sample size when given the standard deviation and confidence interval
473,473,How do you find the sample size given a confidence interval
474,474,How do you use multiclass classification in logistic regression
475,475,Who gave the definition of probability
476,476,Who established the link between the concept of probability and statistics
477,477,Why OLS is extensively used in regression analysis
478,478,Why is OLS a good estimator
479,479,Why do we use regression in real life
480,480,What is the Adam Optimizer
481,481,What is Optimizer in Tensorflow
482,482,How does Adam Optimiser work
483,483,What does the Optimizer do
484,484,What is meant by vanishing gradient problem
485,485,How is SSE and MSE calculated
486,486,How do topic models work
487,487,Is Topic Modeling NLP
488,488,What is IIR and FIR filter
489,489,Where are IIR filters used
490,490,What is meant by FIR filter
491,491,What is IIR in DSP
492,492,What is a cost function in ML
493,493,What is the use of cost function in machine learning
494,494,Which of the following problems can be modeled as constraints satisfaction problems
495,495,What is the purpose of oversampling
496,496,Why is oversampling bad
497,497,How would compare one class and multiclass classification explain with a suitable example
498,498,What is multi class classification problem
499,499,How do you interpret a confidence interval in regression
500,500,What is p value in regression
501,501,How is the P value calculated
502,502,What are some examples of the cognitive technologies of AI
503,503,What is artificial cognition
504,504,Is dropout better than L2
505,505,Is dropout a regularization
506,506,What is the use of convolution layer in CNN
507,507,What is weight normalization
508,508,What is dropout and batch normalization
509,509,What is a test set and why would you want to use it
510,510,How do you explain an S curve
511,511,What is financial S curve
512,512,What do you mean by interpolation
513,513,What is interpolation in deep learning
514,514,What is interpolation in sampling
515,515,What is interpolation and extrapolation
516,516,What are the examples of unsupervised learning
517,517,What is unsupervised machine learning explain with example
518,518,What does high TNF alpha mean
519,519,Is TNF alpha good or bad
520,520,What does low TNF alpha mean
521,521,How does TNF alpha cause inflammation
522,522,Why should we not use KNN algorithm for large datasets
523,523,Is SVM only for binary classification
524,524,How do you know if an estimator is biased
525,525,Is the mean a biased or unbiased estimator
526,526,Can an estimator be biased and consistent
527,527,What is meant by transfer learning
528,528,What is transfer of learning with examples
529,529,How do I import Mnist dataset to Sklearn
530,530,How is the Mnist dataset stored
531,531,What does the confidence interval mean
532,532,What is the purpose of a confidence interval for a mean
533,533,Why is confidence interval important
534,534,How do you analyze a stock chart
535,535,What is the null distribution of the test statistic
536,536,What distribution does the t test statistic follow if the null hypothesis is true
537,537,What is the distribution of the z test statistic under the null hypothesis
538,538,What distribution does the test statistic follow
539,539,What is regression tree method
540,540,How is principal component calculated
541,541,What is principal component analysis example
542,542,How do you analyze principal component analysis
543,543,Is Knn better than logistic regression
544,544,Can Knn be used for both classification and regression How do you find optimal K in Knn
545,545,Can Knn be used for continuous target
546,546,Is logistic regression neural network
547,547,How is neural network different from logistic regression
548,548,Is logistic regression a learning machine
549,549,Is logistic regression a supervised learning algorithm
550,550,What is Z statistics
551,551,What are Z and T scores
552,552,What does T score mean in statistics
553,553,Is degrees of freedom N 2
554,554,How did artificial intelligence begin
555,555,Where was AI invented
556,556,What is the meaning of p value
557,557,What is the P value rule
558,558,What does the P value tell you
559,559,How is Bayes theorem different from conditional probability
560,560,What is predictive modeling in machine learning
561,561,What is predictive modeling
562,562,Is sampling distribution the same as population
563,563,What is sampling distribution mean
564,564,What is the difference between sample mean and population mean
565,565,How do you know if a distribution is geometric
566,566,How do you know if its binomial or geometric
567,567,What does Underfitting mean
568,568,What is Underfitting in model evaluation
569,569,How do I know if my model is Overfitting or Underfitting
570,570,What is a cause of skewed data
571,571,What does it mean when a distribution is skewed to the left
572,572,How do you tell which way a distribution is skewed
573,573,How do you do probability density function
574,574,What is the density of a normal distribution
575,575,What are expert system in AI
576,576,What is expertise in intelligent systems
577,577,What is difference between intelligent system and expert system
578,578,Which one can be used for both classification and regression
579,579,How do you calculate random probability
580,580,How will you find the probability to each value of a random variable
581,581,What is random variable in probability with example
582,582,What can decision trees be used for
583,583,What are the pros and cons of decision tree
584,584,What is likelihood in statistics
585,585,What do you mean by likelihood
586,586,What's the difference between likelihood and probability
587,587,What is autoregressive neural network
588,588,What does a correlation of 0.8 mean
589,589,Is a correlation coefficient of 0.8 strong
590,590,Is 0.7 A strong correlation
591,591,Which is better statistics or data science
592,592,Do I need statistics for data science
593,593,How do you determine the sample mean
594,594,How do you find the mean of two different means
595,595,How do you find the population mean and sample mean difference
596,596,Why is RMS used instead of average
597,597,What is difference between RMS and average value
598,598,What is the difference between K means and K nearest neighbor
599,599,Is K nearest neighbor supervised or unsupervised
600,600,Does K mean unsupervised
601,601,How do you do a regression with a categorical variable in SPSS
602,602,What is categorical regression
603,603,What is the difference between a univariate Anova and a multivariate Anova
604,604,Is Anova a multivariate analysis
605,605,What is the difference between joint probability distribution and likelihood function
606,606,What is L1 and L2 regularization
607,607,How do you do a subgroup analysis in SPSS
608,608,How do I run a correspondence analysis in SPSS
609,609,How do you do correspondence analysis
610,610,How do you analyze two variables in SPSS
611,611,How do you predict using a regression model
612,612,How do you predict a regression equation
613,613,How do you predict using multiple regression
614,614,What is the predictor in regression analysis
615,615,Why does a correlation not prove a causal mechanism
616,616,Do correlations allow us to determine causality
617,617,What does Bayesian approach mean
618,618,What does it mean to have a Bayesian brain
619,619,Why do we use N 1 instead of N
620,620,Why do we use N 1 in the denominator when calculating a sample variance
621,621,What is the major task of NLP
622,622,What is the difference between Poisson regression and logistic regression
623,623,Which regression should I use
624,624,What are the benefits of neural networks
625,625,Can we calculate precision for multi class classification using confusion metrics
626,626,How do you calculate accuracy in multi class classification
627,627,Can we use random forest technique for feature selection
628,628,What does a nonlinear association look like
629,629,What is the difference between positive and negative association
630,630,What is window size in CNN
631,631,What is Gaussian high pass filter
632,632,Is Gaussian filter edge preserving
633,633,What does alpha state feel like
634,634,What is vector space and subspace
635,635,What are my implicit biases
636,636,What is the difference between power and power spectral density
637,637,How do you calculate power spectral density
638,638,How weights are updated in Delta Rule
639,639,What is RBF ML
640,640,What is the advantage of radial basis function network
641,641,What is Gaussian radial basis function
642,642,What does a kurtosis of 3 mean
643,643,What level of kurtosis and skewness is acceptable
644,644,How do you interpret kurtosis and skewness values
645,645,What is a skip connection
646,646,Why are Skip connections used in ResNets
647,647,Is the P value the effect size
648,648,How do you calculate effect size
649,649,What effect size tells us
650,650,Is LDA supervised or unsupervised
651,651,Is linear discriminant analysis Parametric
652,652,What does linear discriminant analysis do
653,653,What is an example of continuous random variable
654,654,How do you show a discrete random variable
655,655,Is age a discrete random variable
656,656,What is mean of discrete random variable
657,657,What is LD1 and LD2 in LDA
658,658,What is an LDA score
659,659,How do you calculate LDA
660,660,What is momentum in training
661,661,What is ML momentum
662,662,What is momentum and learning rate in neural network
663,663,Which of the following is an example of multiclass classification
664,664,Is neural network a classification
665,665,What are generative and discriminative models
666,666,What is bivariate distribution in statistics
667,667,What is normal distribution example
668,668,What are the 4 characteristics of a normal distribution
669,669,Is genetic algorithm unsupervised learning
670,670,What is the relation between PDF and CDF
671,671,What is the use of non parametric test
672,672,What is the point of regression analysis
673,673,What is Data Visualization in machine learning
674,674,What is meant by visualization
675,675,What is the purpose of visualization
676,676,What is visualization and why is it important
677,677,How do you know when to use a binomial distribution or a negative binomial distribution
678,678,How do you know when to use the binomial distribution to model a situation what are the requirements for a binomial experiment
679,679,What are the conditions for using binomial distribution
680,680,What is unsupervised learning algorithms
681,681,Is dense layer a hidden layer
682,682,What are hidden layers in neural networks
683,683,What is kernel initializer
684,684,How does angular detect changes
685,685,What triggers change detection in angular
686,686,How does angular 7 detect changes
687,687,What is change detection analysis
688,688,How do you reduce variability in statistics
689,689,What causes high variance
690,690,How do you fix high bias
691,691,Why do we use weights in neural network
692,692,What is the role of weights and bias in a neural network
693,693,What is bias and weight
694,694,What is the significance of weight and bias in an artificial neuron
695,695,What happens if there is autocorrelation
696,696,What does ACF plot tell us
697,697,When should I learn TensorFlow
698,698,What can you build with TensorFlow
699,699,Which training methods for GANs actually converge
700,700,How do you find the variance in regression
701,701,How do you interpret Vif in multiple regression
702,702,What does variance accounted for mean
703,703,Where has fuzzy inference system been implemented
704,704,What are the applications of fuzzy inference systems
705,705,What is frame error
706,706,What is sample error in research
707,707,What is sampling error and why is it important
708,708,How do you choose variables for clustering
709,709,Which type of data mining is most suitable for categorical variables
710,710,Is sample standard deviation the same as standard deviation
711,711,What does sample standard deviation mean
712,712,What is the difference between standard deviation and standard deviation of mean
713,713,What is the difference between SX and ΣX
714,714,How does hierarchical clustering work
715,715,What is embedding in machine learning
716,716,Is kernel in SVM a similarity function
717,717,What's the kernel trick and how is it useful
718,718,What is gamma distribution used for
719,719,What is the expectation of a gamma distribution
720,720,What is the variance of a gamma distribution
721,721,What is MIN MAX algorithm in artificial intelligence
722,722,What is the complexity of Minimax algorithm is same as
723,723,What does the log likelihood tell you
724,724,What is the purpose of integration
725,725,What is integration in simple words
726,726,What is integration and its application
727,727,What is classification loss
728,728,What are variational Autoencoders used for
729,729,What are the advantages of using a variational Autoencoder ahead of a normal Autoencoder
730,730,Why are the formulas different for population standard deviation and sample standard deviation
731,731,How does the variance of the sample mean compare to the variance of the population group of answer choices
732,732,Why are there different formulas for standard deviation
733,733,What is NLP tokenization
734,734,How do you do tokenization
735,735,What does Gaussian noise mean
736,736,How does Gaussian noise work
737,737,What is image noise in image processing
738,738,What is Overfitting in neural network
739,739,What is Overfitting and how is it determined
740,740,What is Overfitting and how can you avoid it
741,741,What is meant by bias in machine learning
742,742,What does an R squared value of 0.3 mean
743,743,What does an R squared value of 0.2 mean
744,744,What is a good R2 score
745,745,How do you interpret R2 value
746,746,What is data abuse
747,747,Can statistics be misused explain with example
748,748,What is meant by statistical learning
749,749,What do you learn in statistics for data science
750,750,What is the difference between statistical learning and machine learning
751,751,What does Perceptron mean
752,752,Why is Perceptron used
753,753,What is Perceptron MCQs
754,754,What is kernel trick SVM
755,755,What is the primary motivation for using the kernel trick in machine learning algorithms
756,756,How does Gaussian kernel work
757,757,Is deep learning unsupervised learning
758,758,What does deep learning mean
759,759,What is difference between deep learning and machine learning
760,760,What does it mean to have a low correlation
761,761,What are the types of machine learning
762,762,What are the 2 types of machine learning
763,763,What is agent and types of agent
764,764,Whats is an agent
765,765,What is Agent function in AI
766,766,What are the advantages of sampling
767,767,What is an example of symmetric distribution
768,768,What does symmetrical data mean
769,769,How do you know if a distribution is symmetric
770,770,What is symmetric distribution skewness and kurtosis
771,771,What does or mean in statistics
772,772,What is L1 L2 regularization
773,773,How does L2 regularization work
774,774,What are the properties of a cryptographic hash function
775,775,What are the applications of a hash function
776,776,What is squashing function why it is needed
777,777,What is sigmoid in deep learning
778,778,What is sigmoid function in logistic regression
779,779,What is the best test to be used to test a hypothesis when we have categorical variables with two possible outcomes
780,780,Is t test for categorical data
781,781,What are the characteristics of filter
782,782,Which one is the example of linear filter
783,783,How do you find the compound probability of independent events
784,784,How do you find the probability of A and B independent
785,785,What is oversampling machine learning
786,786,What is random search algorithm
787,787,Why is covariance of independent variables 0
788,788,What does it mean for covariance to be 0
789,789,How do you find the covariance of two random variables
790,790,What is the role of NLG and NLU in NLP
791,791,What is NLG in machine learning
792,792,What is the difference between normal distribution and t distribution
793,793,Why do we use chi square distribution
794,794,How do you identify different chi square distributions
795,795,What is Backpropagation in deep learning
796,796,What do we aim to optimize in the back propagation pass
797,797,What is gradient descent in simple terms
798,798,What is momentum Optimizer
799,799,How do you describe the distribution of data
800,800,How do you describe the shape of a distribution
801,801,How do you describe the distribution of a dot plot
802,802,Why do we use kernels in SVM
803,803,What is the purpose of kernel function
804,804,Why Gaussian kernel is used in SVM
805,805,When to use a Mann Whitney U test
806,806,What can I use instead of a t test
807,807,How do you solve vanishing gradient problem in RNN
808,808,What leads to the vanishing or exploding gradient problem in RNN
809,809,How can vanishing gradients be prevented
810,810,What does it mean if two events are disjoint
811,811,What does it mean to be disjoint
812,812,Can two events be both disjoint and independent
813,813,What does it mean if two events A and B are mutually exclusive
814,814,What do you do if results are not statistically significant
815,815,What is the difference between relative density and density
816,816,What do you mean by density and relative density
817,817,What is called relative density
818,818,What is definition of density
819,819,How many hidden layers are there
820,820,Does Perceptron have hidden layers
821,821,How do you choose the best machine learning model
822,822,How can I improve my machine learning model
823,823,What is binary cross entropy
824,824,What is the difference between binary Crossentropy and categorical Crossentropy
825,825,Does prevalence affect sensitivity
826,826,How is sensitivity determined
827,827,What is the difference between factors and components
828,828,Is Principal Component Analysis A factor analysis
829,829,What is a component matrix
830,830,What is component transformation matrix in factor analysis
831,831,What is posterior distribution
832,832,What does prior mean in statistics
833,833,What is a normal distribution of scores
834,834,What is the most frequent score in a distribution
835,835,What does distribution mean
836,836,How do you determine normal distribution
837,837,What are control problems
838,838,How do I get started with object detection
839,839,What is object detection in machine learning
840,840,Which model is best for object detection
841,841,Why do we need object detection
842,842,How do you divide standard deviation
843,843,Why do we divide by N 1 when calculating standard deviation
844,844,How does N affect standard deviation
845,845,What is standard deviation equal to
846,846,What is CNN in image processing
847,847,Does Yolo use CNN
848,848,What does R CNN stand for
849,849,What is the difference between CNN and RCNN
850,850,What is the difference between validation set and test set
851,851,What does the size of a test set depend on
852,852,Why do random effects
853,853,Why is random effects more efficient
854,854,How do you calculate joint distribution
855,855,How do you find the joint pdf of X and Y
856,856,What is statistics in machine learning
857,857,What is statistical Modelling used for
858,858,What is statistical methods
859,859,How does a regression model work
860,860,Is Word2Vec supervised or unsupervised
861,861,What is disparate treatment discrimination and how is it proved
862,862,What is a disparate impact analysis
863,863,How is validation accuracy calculated
864,864,What does it mean when you are multimodal
865,865,Are histograms univariate
866,866,What does univariate mean
867,867,When would you use a neural network
868,868,What is regression neural network
869,869,How is neural network different from linear regression
870,870,Why regression is used in machine learning
871,871,Can SVM for multiclass classification
872,872,What is multiclass SVM
873,873,What is the Kolmogorov Smirnov test used for
874,874,What is a good KS score
875,875,What is KS test p value
876,876,How do you test for nonlinear correlation
877,877,What is a non linear correlation
878,878,How do you know if data is linear or nonlinear
879,879,How Kalman filter is implemented in Arduino
880,880,What are the 2 types of statistics
881,881,What is difference between descriptive and inferential statistics
882,882,What are the two types of statistics quizlet
883,883,What is pre pruning and post pruning approach in decision tree model
884,884,What is low dimensional data
885,885,How do you deal with high dimensional data
886,886,What is a dimension in machine learning
887,887,What is concept learning
888,888,What do you mean by Concept Learning in machine learning
889,889,What is the difference between simple mean and weighted mean
890,890,What is a discrete probability distribution
891,891,What is the difference between discrete and continuous
892,892,What is a continuous probability distribution
893,893,What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable select each correct answer
894,894,What is another word for ensemble
895,895,What do you mean by dummy variable
896,896,Is age a dummy variable
897,897,How many dummy variables are there
898,898,What is a private label example
899,899,What are the two main types of error in machine learning models
900,900,How do you calculate classification error
901,901,How do you measure accuracy in classification
902,902,What is the difference between cross sectional and time series data
903,903,What is a time series analysis
904,904,What is cross sectional ratio
905,905,What is cross sectional analysis in accounting
906,906,Is correlation necessary for regression
907,907,When should you use regression analysis
908,908,Can you use correlation to predict
909,909,Are correlation and linear regression the same
910,910,Is Jordan network a recurrent neural network
911,911,Why Bayes theorem is important in machine learning
912,912,What is Bayes learning
913,913,On which of the mentioned points is the Bayesian theorem reasonable to apply
914,914,Why do we need to prune a decision tree explain the two pruning method
915,915,How do you evaluate a decision tree
916,916,How long does it take to learn probability
917,917,How do you get good at probability
918,918,What grade do you learn probability
919,919,How do you express probability
920,920,When should I stop deep learning training
921,921,Why is deep learning taking off
922,922,What characteristic does deep learning have that traditional machine learning does not
923,923,What is Kappa statistics in accuracy assessment
924,924,What does kappa score mean
925,925,What is Kappa in cross validation
926,926,Can neural network work with dependent continuous variable
927,927,Are neural networks continuous
928,928,How do you call the process of predicting a continuous value
929,929,What is the use of exponential moving average
930,930,What are biased and unbiased samples
931,931,What is the difference between biased and random sample
932,932,What is ROC curve threshold
933,933,What is threshold in logistic regression
934,934,Why SVM does often obtain more accurate performance than logistic regression
935,935,How is SVM different from logistic regression
936,936,How does SVM improve accuracy
937,937,Why is image unstructured data
938,938,Which of the following is not structured data
939,939,What is the difference between descriptive and inferential statistics with examples
940,940,What is the difference between descriptive statistics and inferential statistics
941,941,What are two examples of inferential statistics
942,942,What is the difference between descriptive and analytical statistics
943,943,How do you evaluate classification
944,944,What is a binary classification model
945,945,How do you train binary classifier
946,946,What is logistic regression good for
947,947,What are the advantages of regression analysis
948,948,Why logistic regression is better than linear
949,949,What is difference between data science and data analytics
950,950,Is test statistic the same as Z score
951,951,How do you use test statistic
952,952,What is a bad Gini coefficient
953,953,Why is the Gini ratio a popular measure of inequality What are the weaknesses
954,954,What is p value in KS test
955,955,How do you read a KS test
956,956,What is null hypothesis for normality test
957,957,Is root mean square the same as average
958,958,What are the classification techniques in data mining
959,959,What is T value and p value in regression
960,960,What is recall vs precision
961,961,What is a good recall score
962,962,What is the difference between continuous and discrete
963,963,What is variable difference between discrete and continuous variable
964,964,What would be an example of a continuous variable
965,965,What is Laplacian operator in image processing
966,966,Is Laplacian filter a low pass filter
967,967,Which of these is a benefit of batch normalization
968,968,Why is the law of large numbers an important concept in probability and statistics
969,969,Why is the law of large numbers Important Be sure to include how it relates to experimental and theoretical probability and why we Cannot just use theoretical probability all of the time
970,970,What is the law of large numbers and does it change your thoughts about what will occur on the next toss
971,971,How can data be misrepresented
972,972,What is your definition of misleading data
973,973,What is gradient in neural network
974,974,What is gradient checking for
975,975,How many algorithms are there in machine learning
976,976,Which algorithm is best for machine learning
977,977,What is chi square test for association
978,978,What do you mean by moments
979,979,Why is it called moment
980,980,What is meant by reliability of a test
981,981,How do you determine reliability of a test
982,982,Why a test should be reliable
983,983,What does IID mean in statistics
984,984,What does it mean to be IID
985,985,What does sample covariance tell you
986,986,How do you find the sample covariance
987,987,What does Covariance number mean
988,988,Which learning algorithm is used for clustering
989,989,Is K means clustering popular
990,990,What type of model is a linear model
991,991,What I know about linear model
992,992,How does a linear model work
993,993,What are the assumptions of ordinary least square
994,994,Which is an assumption of least squares regression
995,995,What are the three assumptions that underlie a least squares regression
996,996,What assumptions do you make when using the method of least squares to estimate a population regression line
997,997,What are dummy variables in econometrics
998,998,What is the difference between convolution and pooling
999,999,What is pooling layer and convolution
1000,1000,What is pooling in CNN
1001,1001,What does convolution mean
1002,1002,What is deep learning and its types
1003,1003,Why is deep learning important
1004,1004,How is false positive rate defined
1005,1005,How do you calculate false positive probability
1006,1006,What is the difference between likelihood and probability
1007,1007,What is prior probability and likelihood
1008,1008,How do you minimize selection bias in a cross sectional study
1009,1009,What is KNN algorithm used for
1010,1010,What is Knn machine learning
1011,1011,What is KNN and SVM
1012,1012,What is fixed and random effect model
1013,1013,What does a random effects model do
1014,1014,Is gender a fixed or random effect
1015,1015,What does a KS test show
1016,1016,Why is KS test used
1017,1017,What are unsupervised learning techniques
1018,1018,Which of these are forms of unsupervised learning
1019,1019,Which of the following are examples of unsupervised learning
1020,1020,What does log to the base 2 mean
1021,1021,How do you prove probabilities
1022,1022,How do you solve a conditional probability problem
1023,1023,How do you know if you have PA or B
1024,1024,What is model in machine learning
1025,1025,What does model refers to in ML
1026,1026,What are the two types of hierarchical clustering algorithms
1027,1027,What is hierarchical clustering What are the types of hierarchical clustering
1028,1028,What is DNN and CNN
1029,1029,What do you mean by SDLC and its phases
1030,1030,What is decision tree and discuss the use of decision tree for classification purpose with an example
1031,1031,What are decision trees used for
1032,1032,What is the purpose of mean median and mode
1033,1033,Which one is unsupervised learning method
1034,1034,How do you improve the accuracy of a model
1035,1035,How can neural network accuracy be improved
1036,1036,What is accuracy in CNN
1037,1037,Which search method is used in Minimax algorithm Mcq
1038,1038,What is the Mini Max search technique
1039,1039,Why Alpha Beta approach is better than MIN MAX search give reason
1040,1040,What is intelligence and artificial intelligence
1041,1041,What is chi squared likelihood
1042,1042,Do you reject the null hypothesis at the 0.05 significance level
1043,1043,Do you reject or fail to reject Upper H 0 at the 0.05 level of significance
1044,1044,How do you know if you reject or fail to reject the null hypothesis
1045,1045,When should you reject the null hypothesis h0
1046,1046,What does it mean when data is normally distributed
1047,1047,Why does normal distribution occur
1048,1048,What is required for data to be normally distributed
1049,1049,Why is area under ROC curve Auroc better than raw accuracy as an out of sample evaluation metric
1050,1050,Is cosine similarity a distance metric
1051,1051,What is the range of cosine similarity
1052,1052,How do you interpret cosine distance
1053,1053,Why use cosine similarity instead of Euclidean distance
1054,1054,What do you mean by ensemble methods
1055,1055,What are the ensemble methods of classification explain
1056,1056,How do you find the prior probability
1057,1057,What is prior probability and posterior probability
1058,1058,What are the prior and posterior probabilities in the context of the Bayes Theorem
1059,1059,What is the difference between the likelihood and the posterior probability
1060,1060,What is mean variance and standard deviation
1061,1061,What does standard deviation mean
1062,1062,How is SD calculated
1063,1063,What is Bayesian methods for data analysis
1064,1064,What is the essence of Bayesian data analysis
1065,1065,What is the difference between combination and permutation
1066,1066,What is permutation in statistics
1067,1067,What is the meaning of autoregressive
1068,1068,What is ARMA time series
1069,1069,What does a correlation coefficient of .8 mean
1070,1070,What does a correlation coefficient of 0.7 mean
1071,1071,How do you find the mean of an exponential distribution
1072,1072,What is the mean of an exponential distribution
1073,1073,What is the mean and variance of exponential distribution
1074,1074,What is the variance of exponential distribution
1075,1075,What is difference between RNN and Lstm
1076,1076,Can we use sigmoid for multiclass classification
1077,1077,How do you know if it is one or two tailed
1078,1078,Why is mean median mode and range important
1079,1079,What does mean median mode tell us
1080,1080,What is the purpose of median
1081,1081,What is the use of mean and median
1082,1082,What is likelihood maximization
1083,1083,What is the maximum likelihood principle
1084,1084,What likelihood means
1085,1085,What is the purpose of a Wilcoxon signed rank test
1086,1086,How do you use the Wilcoxon signed rank test
1087,1087,Can Tableau be used for predictive analytics
1088,1088,What tools are used for predictive analytics
1089,1089,What industries use predictive analytics
1090,1090,What statistical measures do sensitivity and specificity evaluate
1091,1091,What is difference between PDF and CDF
1092,1092,How do you calculate CDF from PDF
1093,1093,How do you find probability using CDF
1094,1094,What is the difference between binomial and geometric
1095,1095,What is negative binomial distribution in relation to geometric distribution
1096,1096,What is the difference between binomial distribution and negative binomial distribution
1097,1097,What is a good correlation score
1098,1098,What does a correlation of 0.7 mean
1099,1099,Is .05 a strong correlation
1100,1100,How do you interpret gamma statistics
1101,1101,What does gamma mean in statistics
1102,1102,What does a Lambda of 0 mean
1103,1103,How is classification different from regression
1104,1104,Where do we use regression and classification
1105,1105,What type of relation is regression
1106,1106,What is Apriori algorithm in data mining
1107,1107,What is CTT and IRT
1108,1108,What is item characteristic curve
1109,1109,Is the statement all two layer network can represent an XOR function correct
1110,1110,What is a two layer neural network
1111,1111,Why XOR is not linearly separable
1112,1112,Why are networks so powerful
1113,1113,Why are neural networks so good
1114,1114,Why is deep learning so powerful
1115,1115,Why is coefficient of variation useful
1116,1116,What is the most useful measure of variation
1117,1117,What is a model in machine learning
1118,1118,What is train model and test model
1119,1119,What is training data in ML
1120,1120,How will artificial intelligence change society
1121,1121,How can AI improve the world
1122,1122,How is Artificial Intelligence helping us today
1123,1123,Does Multicollinearity affect random forest
1124,1124,Are decision trees affected by outliers
1125,1125,What is Fourier Transform and its applications
1126,1126,What is Fourier transform and its properties
1127,1127,Is Arma a linear model
1128,1128,What is AR and MA
1129,1129,Why is Collinearity bad
1130,1130,What problems do Multicollinearity cause
1131,1131,How does cross entropy loss work
1132,1132,What is loss function Why do we use it
1133,1133,How do you derive the Bellman equation
1134,1134,What is Bellman operator
1135,1135,Is clustering a supervised classification
1136,1136,Is K means clustering supervised
1137,1137,What are different types of clustering
1138,1138,How is precision recall curve calculated
1139,1139,What does a good precision recall curve look like
1140,1140,What can you say about the precision recall PR curve
1141,1141,How do you make a ROC curve
1142,1142,Can logistic regression be used for multiclass classification
1143,1143,How is the sampling distribution different from the distribution of values in the sample and the distribution of values in the population
1144,1144,What is the difference between sampling and sample
1145,1145,What is the mean of the sampling distribution of the difference in sample proportions
1146,1146,Is the trace of a matrix a linear transformation
1147,1147,Why do we calculate average
1148,1148,What is categorical cross entropy
1149,1149,What causes Overfitting
1150,1150,How do you avoid overfitting in a decision tree
1151,1151,Is decision tree prone to overfitting
1152,1152,What causes random forest to Overfit the data
1153,1153,Is Big Data a part of data analytics
1154,1154,What is neural network and how it works
1155,1155,How are Likert scale results calculated
1156,1156,How do you calculate weighted average Likert scale
1157,1157,Why should we do asymptotic analysis of algorithms
1158,1158,How do you analyze the efficiency of an algorithm
1159,1159,Why is MSE bad for classification
1160,1160,What is RMSE in machine learning
1161,1161,How is backpropagation calculated
1162,1162,How do we calculate the gradient for back propagation
1163,1163,What is back propagation in ML
1164,1164,What are the results that we get after we apply Bayesian theorem to a problem
1165,1165,Is Bayes theorem conditional probability
1166,1166,What does ROC curve represent
1167,1167,How do you interpret a ROC curve in logistic regression
1168,1168,How do you find the threshold of a ROC curve
1169,1169,How do you evaluate a machine learning algorithm
1170,1170,How are algorithms evaluated
1171,1171,What is a good technique to evaluate the performance of a learning algorithm
1172,1172,Can you use linear regression categorical data
1173,1173,Which data is most suitable for linear regression
1174,1174,What statistical analysis is used for ordinal data
1175,1175,Is naive Bayes a non linear classifier
1176,1176,Is linear regression and least squares the same thing
1177,1177,Are least squares linear
1178,1178,What is difference between mean and standard deviation
1179,1179,When should you use mean and standard deviation
1180,1180,What's the difference between deviation and standard deviation
1181,1181,Is artificial neural network machine learning
1182,1182,How long does it take to learn neural networks
1183,1183,What are the types of bias in research
1184,1184,What does RBM stand for
1185,1185,What is batch size in training
1186,1186,What are the similarities between descriptive and inferential statistics
1187,1187,What is the information gain and how does it work in decision trees
1188,1188,What is the disadvantage of using information gain as splitting criteria
1189,1189,What do we call Y in a regression equation
1190,1190,What is Y in regression analysis
1191,1191,What do the values in the regression equation mean
1192,1192,What is alpha and beta in regression
1193,1193,What is the logit in logistic regression
1194,1194,What is logistic regression cost function
1195,1195,What is the difference between the cost function and the loss function for logistic regression
1196,1196,How do I use LSI keywords
1197,1197,Which tool is famous to extract LSI keywords
1198,1198,Can DFS be used to find shortest path
1199,1199,How do you find the function of random variables in a PDF
1200,1200,What are the important properties of a random variable
1201,1201,What is Artificial Intelligence exactly
1202,1202,What is N in median
1203,1203,What is the median of 2
1204,1204,What is the formula for the median
1205,1205,What does it mean to interpret a confidence interval
1206,1206,What is a confidence interval How might it help you interpret and understand the results of statistical analysis
1207,1207,What is a good confidence interval range
1208,1208,When should multi task learning be used
1209,1209,Where do we use the concept of multitasking
1210,1210,What is auxiliary loss
1211,1211,Can Anova be used for non normal data
1212,1212,Is Anova a parametric or nonparametric test
1213,1213,What is the appropriate test for non parametric data
1214,1214,What is filter number in CNN
1215,1215,What filter size means
1216,1216,What is the filter in convolutional neural network
1217,1217,What is the best learning style explain your answer
1218,1218,What are the different types of searching techniques
1219,1219,Which of the following about interpolation search is true
1220,1220,How can you tell if a chain is Markov
1221,1221,Is SVM used only for binary classification
1222,1222,What is binary classification in machine learning
1223,1223,Which of the algorithm is used for predicting & classification
1224,1224,What is considered a continuous variable
1225,1225,Which of the following are examples of continuous variables
1226,1226,What is an example of an experimental group
1227,1227,What is an experimental definition
1228,1228,What is an experimental variable
1229,1229,What are the two experimental groups
1230,1230,Which network are most suitable for image processing
1231,1231,How neural networks train images
1232,1232,Why is a sample survey better than a census
1233,1233,What is Type 2 error
1234,1234,What does a negatively skewed distribution mean
1235,1235,What happens to the mean when a distribution is skewed
1236,1236,What does it mean when a distribution is skewed to the right
1237,1237,How do you determine sample size in stratified sampling
1238,1238,Which of the following is an example of stratified random sampling
1239,1239,What is stratified simple random sampling
1240,1240,What is the mean average precision
1241,1241,What is average precision in object detection
1242,1242,What is average recall
1243,1243,What does deep learning include
1244,1244,What are the types of transfer learning
1245,1245,What is measurement error
1246,1246,What are 3 sources of measurement error
1247,1247,What are the four major sources of measurement error
1248,1248,Is Loss Function same as cost function
1249,1249,What is a loss function in machine learning
1250,1250,What is negative spatial autocorrelation
1251,1251,How is spatial autocorrelation important
1252,1252,What is spatial autocorrelation GIS
1253,1253,What is AI ml and deep learning
1254,1254,What is tokenization in NLTK
1255,1255,How was AlphaZero trained
1256,1256,Is AlphaGo a reinforcement learning
1257,1257,Who created alpha go
1258,1258,What is backward regression
1259,1259,What is the purpose of stepwise regression
1260,1260,What is spatial invariance
1261,1261,Why is CNN invariant
1262,1262,Is CNN rotation invariant
1263,1263,What is the significance of separating your original dataset for training testing and validation
1264,1264,When should you split data
1265,1265,Why is Perceptron learning required
1266,1266,What class of functions can be learned by a Perceptron
1267,1267,Is NMF a machine learning
1268,1268,What is NMF
1269,1269,Is a matrix A linear operator
1270,1270,How do you find the linear operator of a matrix
1271,1271,What is linear operator with examples
1272,1272,What is the formula for percentile
1273,1273,How do you calculate linear regression using least square method
1274,1274,What are the purposes of prescriptive analytics
1275,1275,What are the four primary aspects of predictive analytics
1276,1276,What is predictive analytics and how does it work
1277,1277,How do you use predictive analytics
1278,1278,What is first order Markov process
1279,1279,What is the concept of convolution
1280,1280,What is convolution and its properties
1281,1281,What is the convolution of a function with itself
1282,1282,What is the purpose of bivariate correlation
1283,1283,What do bivariate correlations tell us
1284,1284,What is the meaning of bivariate
1285,1285,How do you do quota sampling
1286,1286,How do you calculate Altman Z score
1287,1287,How is Z score calculated
1288,1288,What does a high Altman Z score mean
1289,1289,How do you find the mean value in statistics
1290,1290,Where are Kalman filters used
1291,1291,What is Kalman filter in image processing
1292,1292,What is Kalman smoothing
1293,1293,What are the advantages of a randomized controlled trial
1294,1294,What does randomized controlled trial mean
1295,1295,What is the strength of a randomized trial
1296,1296,What is the relationship between sensitivity and specificity
1297,1297,Is machine learning based on statistics
1298,1298,Is fastText a neural network
1299,1299,How do you use quota sampling
1300,1300,What is inverted file in information retrieval
1301,1301,When should you use an inverted index to search text
1302,1302,What does the interaction term tell you
1303,1303,What is an interaction term in statistics
1304,1304,How do you create an interaction term
1305,1305,How do you interpret an interaction plot
1306,1306,Is K means a classification algorithm
1307,1307,What is formed by K means algorithm
1308,1308,What is the purpose of statistical inferences quizlet
1309,1309,What is the benefit of using inferential statistics
1310,1310,What is the base rate fallacy psychology
1311,1311,What is meant by non parametric
1312,1312,What does parametric mean
1313,1313,Are Type 1 and Type 2 errors independent events
1314,1314,How does stratified analysis control for confounding
1315,1315,Why do we stratify data
1316,1316,Which is the best models used in Word2Vec algorithm for words embedding
1317,1317,Which of the following models learn the word embeds based on the co occurrence of the words in the corpus
1318,1318,How do you use Bayesian analysis
1319,1319,What does Kappa mean statistics
1320,1320,What is kappa value in MSA
1321,1321,What are perceptrons in machine learning
1322,1322,What is linear neuron
1323,1323,How can genetic algorithms be used to train neural networks
1324,1324,How do you find the distance between two clusters
1325,1325,What is distance in clustering
1326,1326,What is the meaning of convolutional
1327,1327,How does learning occur in a connectionist model
1328,1328,What is the connectionist model of memory
1329,1329,What does unbiased mean in statistics
1330,1330,Is decision tree a predictive model
1331,1331,How do you use random forest to predict
1332,1332,How do mixed effects models work
1333,1333,What is a mixed model analysis
1334,1334,What are random effects in mixed models
1335,1335,Is color a quantitative variable
1336,1336,What can big data be used for
1337,1337,What are the problems with big data
1338,1338,When would you use a regression model
1339,1339,What is an example of false dichotomy
1340,1340,How do you predict linear regression
1341,1341,How do you find the predicted value
1342,1342,How do you predict a value in a linear regression in Excel
1343,1343,Why is it called harmonic mean
1344,1344,What does binomial distribution mean
1345,1345,What qualifies as a probability distribution
1346,1346,What is discrete distribution
1347,1347,Is 0.00 statistically significant
1348,1348,What is the test statistic in at test
1349,1349,What's the difference between correlation and correlation coefficient
1350,1350,What does Chebyshev's theorem tell us
1351,1351,Can chebyshev theorem be negative
1352,1352,What is an example of ingroup bias
1353,1353,What causes ingroup bias
1354,1354,What is the in group out group phenomenon
1355,1355,Can a sampling frame be larger than population
1356,1356,What is data science and analytics course
1357,1357,What is the difference between frequency and relative frequency
1358,1358,What is the difference between frequency table and frequency distribution table
1359,1359,What is relative frequency example
1360,1360,How do you calculate bias in regression
1361,1361,What is bias in logistic regression
1362,1362,What is the formula for logistic regression
1363,1363,What is the importance of Bayes Theorem in decision making
1364,1364,How do you find optimal decisions
1365,1365,What pipeline means
1366,1366,What is AI pipeline
1367,1367,What is the null hypothesis for a two tailed test
1368,1368,How do you write a two tailed hypothesis
1369,1369,What is the alternative hypothesis that is being tested
1370,1370,How do you know if an alternative hypothesis is one or two sided
1371,1371,How do you know if variables are independent
1372,1372,How do you know if events are independent or dependent
1373,1373,What does the dependent variable mean
1374,1374,Does Multicollinearity affect clustering
1375,1375,How do you evaluate clustering results
1376,1376,What is the outcome of K means clustering
1377,1377,Why can a histogram be misleading
1378,1378,What are the advantages and disadvantages of using a dot plot versus a histogram to display data
1379,1379,What is the role of knowledge in artificial intelligence
1380,1380,Can chi square be negative
1381,1381,How is sample size determined
1382,1382,How does bootstrap sampling work
1383,1383,Why should a bootstrap sample be the same size as your original sample
1384,1384,What source of bias is self selection
1385,1385,How do you treat categorical variables
1386,1386,Can linear regression have categorical variables
1387,1387,How do you handle categorical missing values
1388,1388,How do you deal with dummy variables in regression
1389,1389,Why does correlation not imply causation example
1390,1390,Why is it important to know the difference between correlation and causation
1391,1391,Does Association imply causation Why or why not
1392,1392,What is training Loss and Validation loss
1393,1393,How can training loss be reduced
1394,1394,What is the difference between loss and accuracy
1395,1395,How do you analyze Likert scale data
1396,1396,What statistical test do you use for Likert scale
1397,1397,How do you analyze Likert scale data in SPSS
1398,1398,How many steps are involved in systematic random sampling
1399,1399,What is systematic sampling procedure
1400,1400,What are the steps of sampling
1401,1401,What are examples of statistical methods
1402,1402,What is a discrete distribution
1403,1403,What is a continuous distribution
1404,1404,How do you know if a distribution is discrete
1405,1405,What is discrete distribution function
1406,1406,Can absolute extrema be local extrema
1407,1407,Can a function have absolute extreme values but not local extreme values
1408,1408,What is the formula of binomial
1409,1409,How do you do binomial theorem probability
1410,1410,Is the year a quantitative variable
1411,1411,Is AR 1 a Markov process
1412,1412,Which sampling distribution should be used and why
1413,1413,What are the types of sampling distribution
1414,1414,How do you use sampling distribution
1415,1415,How do you find the similarity between two strings
1416,1416,How do you find the common element in two strings in python
1417,1417,Can we compare two strings in python
1418,1418,Does sample size affect R value
1419,1419,Does sample size affect correlation coefficient
1420,1420,What affects r squared
1421,1421,How does sample size affect regression
1422,1422,What is R Squared in Regression
1423,1423,What is the difference between R and R Squared in Regression
1424,1424,When geometric mean is preferred to arithmetic mean
1425,1425,What is C in SVC
1426,1426,Is Gamma a C
1427,1427,What does a high value of gamma signify in SVM with RBF kernel
1428,1428,How do you find the normal distribution
1429,1429,What does median value mean
1430,1430,What is median in statistics with example
1431,1431,What is the difference between median and average
1432,1432,What is a factorial and what is its purpose
1433,1433,What does factorial mean in statistics
1434,1434,How do you work out Factorials
1435,1435,How does Bayesian network answer your query
1436,1436,What is ridge regression and Lasso regression
1437,1437,How does Lasso differ from ridge regression multiple options may be correct
1438,1438,Is lasso linear regression
1439,1439,What is Lasso regression used for
1440,1440,How do you interpret residuals in linear regression
1441,1441,What does it mean if the residual plot is linear
1442,1442,How do you interpret the residual vs fitted value curve
1443,1443,How do you interpret a normal PP plot of regression standardized residual
1444,1444,How many neurons are in deep learning
1445,1445,What does it mean to have a false positive and a false negative COVID-19 test result
1446,1446,How does a confusion matrix work
1447,1447,What is confusion matrix with example
1448,1448,Which machine learning algorithm should I use
1449,1449,What are the criteria to choose the best algorithm for a problem
1450,1450,What does a goodness of fit test tell you
1451,1451,What information is learned by conducting a chi square test
1452,1452,What type of data can be examined using the chi square test
1453,1453,How do you interpret linear mixed effects models
1454,1454,What is general linear model used for
1455,1455,Is the cross product the normal vector
1456,1456,Is the cross product of two vectors a vector
1457,1457,How do you find the normal vector
1458,1458,What is dependent variable in regression
1459,1459,How many dependent variables are used in multiple regression
1460,1460,Which variable is the dependent variable
1461,1461,What are the variables in multiple regression
1462,1462,Why Multilayer Perceptron is used
1463,1463,What is MLP in deep learning
1464,1464,What is the concept of binary search
1465,1465,What is binary search algorithm with example
1466,1466,What are the four steps of a binary search algorithm
1467,1467,How do I prove Am inequality GM
1468,1468,How do you augment image data
1469,1469,What is Multiple logistic regression used for
1470,1470,What is the difference between systematic and stratified sampling
1471,1471,How do you tell if a distribution is approximately normal
1472,1472,What is the approximate distribution of the sample mean
1473,1473,Why is the sampling distribution approximately normal
1474,1474,How do you know if a sample is approximately normal
1475,1475,What is the difference between descriptive and predictive
1476,1476,Is machine learning predictive or prescriptive
1477,1477,What is machine learning explain predictive and descriptive data mining techniques
1478,1478,What are the key tasks of machine learning
1479,1479,Which activation function is used for classification
1480,1480,Can ReLU be used for classification
1481,1481,Which activation function is used for multiclass classification
1482,1482,Why is sigmoid used for binary classification
1483,1483,How do you know which data is more consistent
1484,1484,How do you test for consistency
1485,1485,What indicates degree of consistency in data
1486,1486,What is meant by consistency of data
1487,1487,What does test statistic mean
1488,1488,Is t value the same as test statistic
1489,1489,What does lowering learning rate in gradient descent leads to
1490,1490,What is gradient descent optimization
1491,1491,What is a cost function in gradient descent optimization
1492,1492,How do you find the variance of an estimator
1493,1493,What is the variance of the estimate
1494,1494,What is the uniform distribution in statistics
1495,1495,What does it mean if an experiment follows a uniform distribution
1496,1496,How do you test uniform distribution
1497,1497,What is another word for optimize
1498,1498,What I think the word is optimize
1499,1499,What is a disadvantage of Nat
1500,1500,Which of the following are 3 disadvantages of using NAT
1501,1501,What are the two benefits of using NAT
1502,1502,What is residual block in CNN
1503,1503,How AI and robotics are related
1504,1504,What is robotics in AI
1505,1505,Is AI or robotics better
1506,1506,What is converse and inverse
1507,1507,How do you remember inverse converse Contrapositive
1508,1508,Why is it called Student's t test
1509,1509,What is backward chaining in expert system
1510,1510,What is image recognition algorithm
1511,1511,What is face recognition in image processing
1512,1512,What is a good accuracy for decision tree
1513,1513,How do you measure accuracy in machine learning
1514,1514,What is depth in decision tree
1515,1515,What is the output of decision tree
1516,1516,What is not artificial intelligence
1517,1517,Has artificial intelligence proved to be
1518,1518,What is the main difference between classification and clustering
1519,1519,Where can we use clustering
1520,1520,What is a sample in statistics example
1521,1521,What is population sampling
1522,1522,What is the difference between a population mean and a sample mean
1523,1523,Whats is a sample
1524,1524,What is NMF in machine learning
1525,1525,Is NMF a linear model
1526,1526,How do algorithms work in social media
1527,1527,What is meant by distribution in statistics
1528,1528,Which algorithms handle outliers
1529,1529,Which clustering method is most suitable to find outliers
1530,1530,Which machine learning technique that helps in detecting the outliers in data
1531,1531,What is the difference between a Perceptron and a neural network
1532,1532,What is Perceptron model in neural network
1533,1533,What is pseudo randomization
1534,1534,What does quasi random mean
1535,1535,How does pseudo random work
1536,1536,What is alpha and beta in gamma distribution
1537,1537,Which one is a random variable
1538,1538,Is e x The mean
1539,1539,What does P and Q mean in logic
1540,1540,Which is logically equivalent to P ↔ Q
1541,1541,How do metaphors effect the reader
1542,1542,What is the importance of bias in a machine learning model
1543,1543,What does a confusion matrix tell you
1544,1544,Why is it called confusion matrix
1545,1545,What does AB testing mean
1546,1546,What is AB testing in Facebook
1547,1547,What does heterogeneous mean in statistics
1548,1548,What are the four rules of probability
1549,1549,What are the rules of probability in statistics
1550,1550,What are the rules of probability distribution
1551,1551,Which is better Lemmatization vs stemming
1552,1552,How do you determine if there is a linear relationship between two variables
1553,1553,How do you find the linear relationship
1554,1554,Do the two variables have a linear relationship
1555,1555,How do you compare sample mean and population mean
1556,1556,What is a sample mean
1557,1557,How does sample size affect population mean
1558,1558,What is the difference between AR and MA time series models
1559,1559,What does a negative coefficient of determination mean
1560,1560,Can R2 values be negative
1561,1561,What does it mean when adjusted R squared in negative
1562,1562,How do you solve gradient descent
1563,1563,What is gradient descent formula
1564,1564,What is gradient descent problem
1565,1565,Which is an example of gradient descent algorithm
1566,1566,What is Epsilon in deep learning
1567,1567,What is Epsilon in machine learning
1568,1568,What is Q value in Q learning
1569,1569,Is Q learning greedy
1570,1570,How do you find the test statistic for a linear correlation
1571,1571,How do you determine a test statistic
1572,1572,How do you know if a regression is statistically significant
1573,1573,How do you test a linear regression model
1574,1574,What is applicability of association rules in R
1575,1575,What is association rule with example
1576,1576,What are the applications of association rule mining
1577,1577,What are the types of probability distribution
1578,1578,Is a probability distribution a theoretical distribution
1579,1579,Is probability density the same as probability distribution
1580,1580,What is confidence interval in hypothesis testing
1581,1581,What is confidence interval method
1582,1582,Which is better a hypothesis test or a confidence interval
1583,1583,What is factor analysis in simple terms
1584,1584,How do you interpret factor loading
1585,1585,What are the applications of SVM
1586,1586,Which of the following is unsupervised machine learning
1587,1587,What is unsupervised machine learning used for
1588,1588,What is unsupervised learning in AI
1589,1589,Can we use logistic regression for classification of non linear data
1590,1590,Can we perform multi class classification using logistic regression
1591,1591,What is weight optimization
1592,1592,What is the goal of reinforcement learning RL and how does it work choose all that apply
1593,1593,What is the goal of reinforcement learning
1594,1594,What is reinforcement learning & Why is it called so can we use reinforcement learning RL to detect facial emotions
1595,1595,How do you do logistic regression in SAS
1596,1596,What does Proc logistic do
1597,1597,How do you explain logistic regression to a child
1598,1598,What is the meaning of Gaussian error curve
1599,1599,What is Gaussian theory
1600,1600,What is Gaussian used for
1601,1601,What is backwards elimination
1602,1602,What is p value in feature selection
1603,1603,What is naive Bayes text classification
1604,1604,How do I use naive Bayes text data
1605,1605,How do I calculate the standard error of the mean
1606,1606,What do you learn in machine learning
1607,1607,What have you learned about machine learning how is machine learning different from normal software development
1608,1608,What does moving average mean
1609,1609,Who invented moving averages
1610,1610,What is moving average in time series
1611,1611,What is AR and MA model
1612,1612,What is Rasch measurement theory
1613,1613,What is a Rausch unit
1614,1614,How do you find the bin size on a histogram
1615,1615,What is bin edges in histogram
1616,1616,What is the activation function
1617,1617,What is the activation function in regression
1618,1618,What does Ljust mean in Python
1619,1619,What is Rjust and Ljust in Python
1620,1620,How do you know if two means are statistically different
1621,1621,How do you determine if there is a statistical difference
1622,1622,How do you compare two sample means
1623,1623,Are neural networks supervised learning
1624,1624,Are Deep Neural Networks supervised or unsupervised
1625,1625,What type of machine learning is neural networks
1626,1626,What is the relationship between a nerve and a neuron
1627,1627,What do you mean by non probability sampling
1628,1628,What is the example of non probability sampling
1629,1629,What is probability and non probability sampling techniques
1630,1630,How do you effectively visualize a data
1631,1631,What is big data visualization
1632,1632,What is reinforcement learning used for
1633,1633,What is the reward in reinforcement learning
1634,1634,What is percentile in normal distribution
1635,1635,How do you find percentile with mean and standard deviation
1636,1636,How do you find average precision
1637,1637,What is average precision score
1638,1638,Why is average precision used
1639,1639,Why is nonlinearity important in neural networks
1640,1640,What is linearity and non linearity in machine learning
1641,1641,What is linear layer
1642,1642,Which are the categories of concept learning
1643,1643,How do you find residuals in regression
1644,1644,What are residuals in multiple regression
1645,1645,How do you find the residual value
1646,1646,How do you find the residual on a TI 84
1647,1647,How are outliers treated in machine learning
1648,1648,How do you deal with outliers
1649,1649,How do you remove outliers in ML
1650,1650,What does a neural network actually predict
1651,1651,When would you use a cluster sample
1652,1652,Why is cluster sampling frequently used in practice
1653,1653,What sampling design is most appropriate for cluster sampling
1654,1654,Who cluster sampling method
1655,1655,What do correlation results mean
1656,1656,What is standardized normal distribution
1657,1657,Why do we standardize data
1658,1658,What is the disadvantage of calculating gradient with respect to every data point
1659,1659,Does deep learning require a huge set of training data
1660,1660,What is the role of gradient descent algorithm in the training of deep neural networks
1661,1661,Why do we use gradient descent for machine learning problems
1662,1662,What kind of problem can we solve using AI
1663,1663,How can AI solve social problems
1664,1664,What is the purpose of a Kruskal Wallis test
1665,1665,How do you develop deep learning
1666,1666,What is the purpose of range in statistics
1667,1667,What does range of data mean
1668,1668,What does the range mean in descriptive statistics
1669,1669,What is the difference between chi square and Z test
1670,1670,What is the bias variance tradeoff explain with an example
1671,1671,Which is better for image classification
1672,1672,What is object classification in image processing
1673,1673,How do you identify an object
1674,1674,What is random variation in statistics
1675,1675,What is autonomous artificial intelligence
1676,1676,What is single agent in artificial intelligence
1677,1677,How do I calculate standard deviation
1678,1678,What is the more robust estimate of spread
1679,1679,Why do we use t test instead of Z test
1680,1680,Do I use Z test or t test
1681,1681,Why do we use t test
1682,1682,What is the difference between t statistic and Z statistic
1683,1683,Is reinforcement learning supervised or unsupervised
1684,1684,How reinforcement learning is different from supervised and unsupervised learning
1685,1685,How do you describe accuracy
1686,1686,How do you define accuracy and precision
1687,1687,How do you explain accuracy in results
1688,1688,What is statistical power and why is it important
1689,1689,What does a statistical power of 1 mean
1690,1690,How do you determine statistical power
1691,1691,What is the practical use of statistical power
1692,1692,How much data do you need to run a regression
1693,1693,How do you tell if a regression is a good fit
1694,1694,Does sample size affect R 2
1695,1695,What is an activation function in deep learning
1696,1696,What are activation functions in neural networks
1697,1697,What qualifies as an outlier in statistics
1698,1698,Where is GLM () used
1699,1699,What does general linear model mean
1700,1700,What is machine learning deep learning
1701,1701,What is AI vs Machine Learning vs deep learning
1702,1702,What type of data is best for scatter plots
1703,1703,What is the difference between SVM and logistic regression
1704,1704,Can you use SVM for regression
1705,1705,What does support vector machine do
1706,1706,What is support vector regression SVR
1707,1707,What is a property of the standard normal distribution
1708,1708,What are the properties of the T distribution
1709,1709,Which is not a characteristic of normal distribution
1710,1710,What are distribution properties
1711,1711,What is meant by gradient in deep learning
1712,1712,What is the norm of two vectors
1713,1713,What is lemmas in machine learning
1714,1714,What is hazard probability
1715,1715,How do you calculate hazard probability
1716,1716,What is hazard survival analysis
1717,1717,What is a good Kappa score
1718,1718,Why is image processing used
1719,1719,Why initialize a neural network with random weights
1720,1720,Why do neural networks generalize
1721,1721,What is the relationship between correlation coefficient and regression coefficient
1722,1722,What is the relation between the correlation coefficient The slope of the regression line and Z scores
1723,1723,What is the t test statistic and how is it interpreted
1724,1724,What is difference between t test and Z test
1725,1725,How do you avoid selection bias
1726,1726,What does selection bias mean
1727,1727,Why is it important to remove bias in the selection of things
1728,1728,What is probability and Nonprobability sampling
1729,1729,What is probability sampling explain its types
1730,1730,Why is probability sampling better than Nonprobability sampling
1731,1731,Is ridge regression linear regression
1732,1732,How do you calculate overall accuracy from confusion matrix
1733,1733,How accuracy is calculated
1734,1734,What is a confusion matrix and how it is used to evaluate the effectiveness of the model
1735,1735,What is convolutional neural network and how it works
1736,1736,What is CNN in simple words
1737,1737,Which part of a convolutional neural network is responsible for feature extraction
1738,1738,Why do ensemble methods work
1739,1739,How body parts can be used for measuring
1740,1740,Which part of the body are used as units
1741,1741,What does Y stand for in statistics
1742,1742,What does Y with a line over it mean in statistics
1743,1743,How do you find y in statistics
1744,1744,How do you calculate y bar in regression
1745,1745,What does it mean when sample results are statistically significant quizlet
1746,1746,What does statistical significance mean how do you know if something is statistically significant What is the difference between statistical significance and practical significance
1747,1747,How do you improve deep learning accuracy
1748,1748,What does image annotation mean
1749,1749,What does an image annotator do
1750,1750,How do you annotate an image
1751,1751,For what purpose is the F test used
1752,1752,Why is the F statistic important
1753,1753,Is the F distribution normal
1754,1754,What does F value indicate
1755,1755,What is logistic regression used for
1756,1756,What are the characteristics of F distribution
1757,1757,Why is the F distribution important in Anova
1758,1758,How do you use f distribution in Anova
1759,1759,What distribution does Anova use
1760,1760,What is a bad coefficient of variation
1761,1761,How do you compare coefficient of variation
1762,1762,What is the Matrix and why does it exist
1763,1763,Is linear regression same as least squares
1764,1764,What is the meaning of least squares
1765,1765,What is the C in SVM
1766,1766,What is C SVC
1767,1767,What happens to SVM when the value of c approaches positive infinity
1768,1768,How does the SVM parameter C affect the bias variance trade off
1769,1769,How do you know if a variable is independent
1770,1770,What does backpropagation mean
1771,1771,Why does backpropagation work in neural networks
1772,1772,What is TensorFlow and keras used for
1773,1773,How is geometric mean used in real life
1774,1774,What is the difference between arithmetic and geometric mean
1775,1775,What is considered normally distributed data
1776,1776,What are the three things to check to see if your data has a normal distribution
1777,1777,What does estimate mean in statistics
1778,1778,Why do we estimate statistics
1779,1779,What hypothesis do we test with an F distribution
1780,1780,How do you reject the null hypothesis for an F test
1781,1781,What is the null hypothesis for the omnibus F test in Anova
1782,1782,What does a Gini coefficient mean
1783,1783,What does a Gini coefficient of 0.6 mean
1784,1784,How do you interpret the intercept
1785,1785,What other methods are there for data smoothing
1786,1786,Why exponential smoothing is used
1787,1787,How do you choose a smoothing constant
1788,1788,Where is digital image processing used
1789,1789,How do you interpret linear regression
1790,1790,What is disparate impact quizlet
1791,1791,Why do we use discriminant analysis
1792,1792,What is the difference between almost sure convergence and convergence in probability
1793,1793,What does it mean to annotate an image
1794,1794,How do you annotate data in machine learning
1795,1795,How many variables are in a multiple regression
1796,1796,Which are greedy algorithms
1797,1797,Why it is called greedy algorithm
1798,1798,What is meant by greedy algorithm and dynamic algorithm
1799,1799,What is similarity in clustering
1800,1800,How do you measure similarity between two clusters
1801,1801,How do you create a cumulative distribution function
1802,1802,What is cumulative distribution function in probability
1803,1803,How do you validate a ML model
1804,1804,How does a variational Autoencoder work
1805,1805,What it means AI
1806,1806,Is EFX a Cryptocurrency
1807,1807,What is test set in machine learning
1808,1808,What is usability testing and why you need it
1809,1809,When should you do usability testing
1810,1810,How do you test usability
1811,1811,How do you know if r is statistically significant
1812,1812,Is 2.52 A strong correlation coefficient
1813,1813,How do neural networks learn patterns
1814,1814,What is artificial neural network and how it is used in deep learning
1815,1815,What are two methods used in exploratory data analysis explain with an example
1816,1816,How do you determine outliers
1817,1817,What determines if something is an outlier
1818,1818,How do you define outliers
1819,1819,What is TP in statistics
1820,1820,What is FPR and TPR
1821,1821,What is a conditional distribution in statistics
1822,1822,Why is it called marginal distribution
1823,1823,How do I get rid of Multicollinearity in R
1824,1824,Can PCA solved Multicollinearity
1825,1825,How do you deal with correlated features
1826,1826,What are the advantages and disadvantages of dimensional analysis
1827,1827,What is the purpose of using dimensional analysis
1828,1828,What are the applications of dimensional method of analysis
1829,1829,How do you find the variance of an independent random variable
1830,1830,How do you find the variance of a variable
1831,1831,How do you derive the variance formula
1832,1832,What is linear mixed model analysis
1833,1833,What is a model and why do we model
1834,1834,How do you define a model
1835,1835,What does geometric mean tell us
1836,1836,What is geometric mean used for
1837,1837,What is lasso and ridge regression
1838,1838,How are Ridge and lasso regularization techniques different
1839,1839,How do you describe a probability distribution
1840,1840,What does a probability distribution indicate
1841,1841,What is normal probability distribution
1842,1842,When should you take linear algebra
1843,1843,Should I learn linear algebra
1844,1844,What should I learn before linear algebra
1845,1845,What does Q mean in statistics
1846,1846,What does the Q value mean
1847,1847,How do you interpret Q statistics
1848,1848,How do you find the Q value
1849,1849,What is cross entropy of loss
1850,1850,How does binary cross entropy loss work
1851,1851,How is a machine learning model trained
1852,1852,How long does it take to train a machine learning model
1853,1853,Can Lasso regression be used for feature selection
1854,1854,How do you find the binomial probability distribution
1855,1855,What is the formula for probability distribution
1856,1856,What is the binomial probability formula used for
1857,1857,What is the importance of search algorithm in AI
1858,1858,Why is search an important component of an AI system
1859,1859,What is searching algorithm in AI
1860,1860,Why is logit model superior to linear probability model
1861,1861,What is the difference between linear and logistic regression
1862,1862,What does a logit model do
1863,1863,How do you know if a model is linear
1864,1864,What are the two types of AI
1865,1865,What is the difference between AI and IA
1866,1866,How do you read a logarithmic scale
1867,1867,What does a logarithmic scale tell you
1868,1868,How do you read a log log plot
1869,1869,What does exponential growth look like on a logarithmic scale
1870,1870,How can I improve my neural network performance
1871,1871,What is Skip gram model
1872,1872,Which of the following model tries to predict the context words based on the target
1873,1873,What is a box plot example
1874,1874,How do you read box plots
1875,1875,What are convolution layers
1876,1876,What is CNN layer
1877,1877,What is FCN neural network
1878,1878,What is the purpose of convolution layer in CNN
1879,1879,How do you find the class boundary
1880,1880,What is the difference between a class boundary and a class limit
1881,1881,Which algorithm uses backtracking
1882,1882,Which data structure is used in backtracking based algorithms
1883,1883,What is difference between recursion and backtracking
1884,1884,Do I need to normalize data before neural network
1885,1885,Why do we normalize data in neural network
1886,1886,Is it necessary to normalize data
1887,1887,Why normalization is necessary for machine learning
1888,1888,What is quantization process
1889,1889,How do you quantize an image
1890,1890,How do you calculate quantization level
1891,1891,What does a logarithmic scale mean
1892,1892,How do you convert a linear scale to a logarithmic scale
1893,1893,How is gamma calculated
1894,1894,What does the gamma distribution model
1895,1895,How do you calculate alpha and beta for gamma distribution in Excel
1896,1896,How do you do predictive analysis
1897,1897,What are the possible types of predictive models
1898,1898,What do you mean by data representation
1899,1899,What are the different types of data representation
1900,1900,Why do we use data representation
1901,1901,What are the advantages of using simple random sampling
1902,1902,What are advantages and disadvantages of sampling
1903,1903,What are the advantages and disadvantages of cluster sampling
1904,1904,What does VC dimension measure
1905,1905,How Natarajan dimension is related to VC dimension explain with example
1906,1906,How do you tell if a function is a permutation
1907,1907,What is the difference between regression and multiple regression
1908,1908,Why is logistic regression better
1909,1909,What is a scatter plot and how does it help us
1910,1910,What is the definition of scatter plot
1911,1911,How do you implement a TensorBoard
1912,1912,What is a good cosine similarity score
1913,1913,How is Jaccard similarity coefficient calculated
1914,1914,What is Word2Vec trained on
1915,1915,What are the components of Autoencoders
1916,1916,What is variable and random variable
1917,1917,What is random variable differentiate between two types of random variable
1918,1918,Why is it called a random variable
1919,1919,How do you use an ensemble model
1920,1920,What are ensemble models explain how ensemble techniques yield better learning as compared to traditional classification ML algorithms
1921,1921,Which is better SVM or neural network
1922,1922,What is the difference between SVM and SVR
1923,1923,What is the purpose of CNN
1924,1924,Which type of applications uses CNN
1925,1925,What are the primary applications of convolutional neural networks
1926,1926,What is data Labelling in machine learning
1927,1927,How do you label data
1928,1928,Which learning approach is used for labeled data
1929,1929,How do you find the rank difference between correlations
1930,1930,How do you interpret a rank correlation
1931,1931,What is the difference between Pearson and Spearman correlation
1932,1932,Why TensorFlow is used in Python
1933,1933,What is the difference between EMA and SMA
1934,1934,What's the difference between EMA and MA
1935,1935,What is linear and nonlinear models
1936,1936,What makes a model non linear
1937,1937,How do you know if something is linear or nonlinear
1938,1938,What is maximum likelihood in logistic regression
1939,1939,Why do we use maximum likelihood estimation in logistic regression
1940,1940,What is a vector error correction model
1941,1941,What is the difference between ECM and Vecm
1942,1942,What is Vecm in econometrics
1943,1943,Can we use K means clustering for supervised learning
1944,1944,Is clustering supervised learning
1945,1945,How do you use least squares regression to predict
1946,1946,What does the least squares regression indicate
1947,1947,What does the regression line predict
1948,1948,What is memory based learning in neural network
1949,1949,What is Randn Matlab
1950,1950,How do you choose the best clustering method
1951,1951,Is AlphaGo deep learning
1952,1952,What type of AI is AlphaGo
1953,1953,What algorithm does AlphaZero use
1954,1954,What is confidence in association rule mining How do we calculate confidence
1955,1955,What is confidence in Apriori algorithm
1956,1956,Why do we need eigenvalues
1957,1957,What is the purpose of eigenvectors
1958,1958,What do eigenvalues tell us
1959,1959,What do eigenvalues tell you about a matrix
1960,1960,What is AI in engineering
1961,1961,Is AI Engineering in demand
1962,1962,Why does random forest perform better than the decision tree
1963,1963,Why is random forest better than linear regression
1964,1964,What is a spectral figure
1965,1965,What is meant by the term spectral type
1966,1966,What is constraint function
1967,1967,What are two types of Optimisation
1968,1968,What is the difference between AI and predictive analytics
1969,1969,What is predictive analysis in machine learning
1970,1970,What is the difference between forecasting and predictive analytics
1971,1971,What is the combined probability of two independent events
1972,1972,How do you do independent events in probability
1973,1973,Why is a random variable a function
1974,1974,What are the types of random variables
1975,1975,How do you interpret a correlation coefficient
1976,1976,How do you find the probability of overlapping events
1977,1977,What is the formula for probability
1978,1978,How do I learn linear algebra
1979,1979,What are some examples of positive feedback
1980,1980,What is an example of positive feedback loop
1981,1981,Which type of operations are performed in Gauss elimination method
1982,1982,What is Gaussian elimination used for
1983,1983,What does it mean if a distribution is normal
1984,1984,When we refer to a normal distribution does the word normal have the same meaning as in ordinary language or does it have a special meaning in statistics What exactly is a normal distribution
1985,1985,What does a loss function do
1986,1986,How do I start learning AI
1987,1987,Which programming language is used for artificial intelligence
1988,1988,Which activation function should I use
1989,1989,Is ReLU an activation function
1990,1990,How do you know if data is parametric or nonparametric
1991,1991,What is the difference between parametric and nonparametric
1992,1992,What is the non parametric equivalent of t test
1993,1993,What does non parametric mean
1994,1994,What is the difference between parametric and non parametric tests
1995,1995,What is non parametric test example
1996,1996,What is another word for Target
1997,1997,How do you use the word target
1998,1998,What is the best edge algorithm
1999,1999,What is approximate closest neighbor
2000,2000,How is multistage sampling different from cluster sampling
2001,2001,What is a multistage cluster sample
2002,2002,What is a multiphase sampling method
2003,2003,How do you interpret Matthews Correlation Coefficient
2004,2004,What are the different types of expert systems
2005,2005,What is principal component analysis used for
2006,2006,How do you choose the best linear regression model in R
2007,2007,How do you choose the best regression model
2008,2008,How do you tell if a regression model is a good fit in R
2009,2009,Is variation a range
2010,2010,How do you find the range and variance
2011,2011,Why is variance better than range
2012,2012,What is the difference between range variance and standard deviation
2013,2013,What analyzes the document based on semantic words
2014,2014,What is semantic text analysis
2015,2015,What is model accuracy and model performance
2016,2016,What is a good accuracy for a model
2017,2017,What does model accuracy mean
2018,2018,What is regularization parameter
2019,2019,What happens when you increase the regularization parameter
2020,2020,What is the Fourier transform of a signal
2021,2021,What is the formula of Fourier transform
2022,2022,How do you find the Fourier series of a signal
2023,2023,How do you calculate FFT of a signal
2024,2024,Why is stepwise regression used
2025,2025,Which regression procedures are used in stepwise regression
2026,2026,Why normal distribution is common
2027,2027,What type of distribution is most seen in nature
2028,2028,How do you find the X in a frequency distribution table
2029,2029,What is X in grouped data
2030,2030,What are the basic components of a frequency distribution table
2031,2031,Does the sample size have an effect on the mean of all possible sample means
2032,2032,How does sample size affect mean and standard deviation
2033,2033,Does the change in sample size affect the mean and standard deviation of the sampling distribution of P̂ if not explain why not select all that apply
2034,2034,What does a larger sample size mean
2035,2035,How do you identify categorical variables
2036,2036,What does Global Max pooling do
2037,2037,How do you calculate weighted probabilities
2038,2038,What is machine learning bias
2039,2039,What is are AI bias give example
2040,2040,What if assumptions of linear regression are violated
2041,2041,How do you test the assumption of a linear regression
2042,2042,How do you know if errors are independent
2043,2043,What are the four assumptions of the errors in a regression model
2044,2044,What is a factor in SPSS
2045,2045,How do you write a factor analysis result
2046,2046,How do you know if a distribution is unimodal
2047,2047,How do you verify a binomial distribution
2048,2048,What are the 4 requirements for binomial distribution
2049,2049,How do you select a linear regression feature
2050,2050,How do you select a regression model
2051,2051,What is a regression feature
2052,2052,Why is sampling distribution of the mean important
2053,2053,What is the sampling distribution of the mean
2054,2054,What is a sampling distribution of means how is it created and what is it used for
2055,2055,What is the mean of a distribution of means
2056,2056,How do you find the probability of A or B if they are independent
2057,2057,Is conditional probability independent or dependent
2058,2058,What is P a B if A and B are independent
2059,2059,What is the purpose of an activation function
2060,2060,What is the difference between linear and non linear activation function
2061,2061,Why non linear activation functions are used in multilayer neural network
2062,2062,Why are neural networks non linear
2063,2063,How do you find eigen value and eigen vector
2064,2064,What is the easiest way to find eigenvectors
2065,2065,How do you find the eigenvalues and eigenvectors of a 3x3 matrix
2066,2066,Where is cluster sampling used
2067,2067,Why is a cluster sample good
2068,2068,What is tested by the goodness of fit test
2069,2069,Why is the chi square test known as a goodness of fit test is it a two tailed test or a one tailed test explain
2070,2070,What is the chi square test used to determine
2071,2071,What do standardized residuals tell us
2072,2072,What is the purpose of a residual plot
2073,2073,What is a case deleted residual and when it is used
2074,2074,How does ReLU solve vanishing gradient
2075,2075,Which of the following activation functions Cannot effectively solve the vanishing gradient problem
2076,2076,What is ROC and AUC in machine learning
2077,2077,What are some of the advantages of multiple regression
2078,2078,What are the two main reasons that we would want to use regression estimation for the differences techniques
2079,2079,What is the main difference between hierarchical clustering and K means clustering
2080,2080,What are hierarchical methods for clustering
2081,2081,What is the difference between K means and Ward's method
2082,2082,What are the different types of clustering
2083,2083,What type of error is a random error
2084,2084,What is a good R squared value
2085,2085,What is the difference between GLM and LM
2086,2086,Is GLM the same as logistic regression
2087,2087,Which part of the brain deals with pattern recognition
2088,2088,Why does the brain look for patterns
2089,2089,What is brain patterning
2090,2090,How do you develop pattern recognition skills
2091,2091,What is the difference between variable and variate
2092,2092,What is meant by variable or variate Class 11
2093,2093,What is the meaning of variable
2094,2094,What if test statistic is less than critical value
2095,2095,How do you interpret critical t value
2096,2096,What is required by K means clustering
2097,2097,Which function is used for K means clustering
2098,2098,What are the requirements of clustering
2099,2099,In which of the following cases will k means clustering give good results
2100,2100,What is the main purpose of sampling
2101,2101,What are the reasons to use sample instead of the whole population
2102,2102,Why is it important to sample in research
2103,2103,Why we use word embedding
2104,2104,What is word embedding in NLP
2105,2105,What is Skip gram and CBOW models
2106,2106,What is the difference between Skip gram and continuous bag of words CBOW in the Word2Vec model
2107,2107,What is Overfitting and why it happens
2108,2108,What is a KPI example
2109,2109,What does accuracy rate mean
2110,2110,How do we interpret the clustering output
2111,2111,How do you explain clusters
2112,2112,How do you measure cluster performance
2113,2113,What is the good cluster quality measure
2114,2114,How do you interpret covariance results
2115,2115,Why is variance covariance matrix positive definite
2116,2116,What inferential test do we use to investigate an association between two categorical variables
2117,2117,How do I compare two categorical variables in SPSS
2118,2118,Which distance matrices are used in Knn explain briefly
2119,2119,Why would a researcher want to use a one tailed test instead of a two tailed test
2120,2120,Should you use a one tailed or a two tailed hypothesis when doing a chi square test
2121,2121,When should you use a one tailed test versus a 2 tailed test
2122,2122,Is a one tailed or two tailed test more powerful
2123,2123,Is it easier to reject the null hypothesis
2124,2124,What is the rule for rejecting the null hypothesis
2125,2125,How do you test the accuracy of a machine learning model
2126,2126,How do you validate an algorithm
2127,2127,Is data analysis required for machine learning
2128,2128,What is data analytics in simple terms
2129,2129,What is the difference between data science and data analysis
2130,2130,Why is linear regression a parametric model
2131,2131,What does parametric model mean
2132,2132,Should I use standard error or standard deviation
2133,2133,How is standard error calculated
2134,2134,Is se the same as standard deviation
2135,2135,Which application is used in reinforcement learning
2136,2136,Is machine learning important for AI
2137,2137,How are artificial intelligence and machine learning related
2138,2138,Should I learn machine learning or artificial intelligence
2139,2139,Why do we need Bayesian statistics
2140,2140,Where is Bayes rule used
2141,2141,What is a one sample t test example
2142,2142,What is a 2 sample t test
2143,2143,What is a one sample t interval
2144,2144,How is binning done
2145,2145,What are the different types of binning
2146,2146,How is Bayesian inference related to deep learning
2147,2147,What does controlling for mean in regression
2148,2148,How do you control a variable in regression in SPSS
2149,2149,Why beta distribution is used in Pert
2150,2150,How participants are assigned to different conditions in an experiment
2151,2151,Why is it important to randomly assign participants to groups
2152,2152,In which type of study would participants be randomly assigned to groups
2153,2153,What is distributor margin
2154,2154,What are the qualities of good estimator
2155,2155,What are the three properties of a good estimator
2156,2156,What is the role of an estimator
2157,2157,What does the Lorenz curve indicate
2158,2158,What is the importance of Lorenz curve
2159,2159,What relationship does the Lorenz curve illustrate
2160,2160,How do you interpret a two tailed test
2161,2161,What is the difference between one tailed test and two tailed test
2162,2162,Do you double the P value for a two tailed test
2163,2163,What is bias in artificial intelligence
2164,2164,What are bias in AI give example
2165,2165,How do you interpret ordered logistic regression
2166,2166,What is the difference between random sampling and convenience sampling
2167,2167,What is convenience sampling PDF
2168,2168,How do you know if an operator is linear
2169,2169,Are integrals linear transformations
2170,2170,What causes Overfitting in deep learning
2171,2171,What is local maxima in artificial intelligence
2172,2172,How local maxima affects hill climbing search algorithm
2173,2173,What is local search algorithm in AI
2174,2174,Is a sequence of local maxima that is very difficult for search algorithms to navigate
2175,2175,What type of RNN is used for image captioning
2176,2176,Can RNN be used for text classification
2177,2177,How do I convert a PDF to a CDF
2178,2178,What makes a function a PDF
2179,2179,How do you calculate dependent events
2180,2180,How do you solve independent and dependent events
2181,2181,What is the difference between relative frequency
2182,2182,What is frequency and relative frequency in statistics
2183,2183,What is the difference between frequency distribution and probability distribution
2184,2184,What is a reinforcement learning
2185,2185,Can QuantiFERON test false negative
2186,2186,What does a positive QuantiFERON gold test mean
2187,2187,What can cause a false positive QuantiFERON test
2188,2188,What is a multivariable model
2189,2189,How does sample size n affect the shape of a sampling distribution
2190,2190,How does sample size affect shape
2191,2191,How does the shape and spread of the sampling distribution change as the sample size increases
2192,2192,Does a sampling distribution depend on the size of the samples
2193,2193,How do you calculate hazard ratio percentage
2194,2194,What is the probability of getting a 6 on two dice
2195,2195,Is Naruto a pseudo jinchuriki
2196,2196,What is momentum in backpropagation
2197,2197,What is the sum of squared deviations from the mean
2198,2198,How do you find the sum of deviations from the mean
2199,2199,What is transfer learning deep learning
2200,2200,What is a ROC curve used for
2201,2201,Why is ROC better than accuracy
2202,2202,What is the formula for expected value
2203,2203,What is the expected value of an unbiased estimator
2204,2204,Is sigmoid function differentiable
2205,2205,What is the derivative of the logistic function
2206,2206,What is the derivative of exponential functions
2207,2207,When using the repeated measures Anova We are testing the null hypothesis that the means of
2208,2208,What is the null hypothesis for an Anova test
2209,2209,What are the assumptions for repeated measures Anova
2210,2210,What is the independent variable in a repeated measures design
2211,2211,What is the importance of artificial intelligence
2212,2212,How artificial intelligence is transforming the world
2213,2213,What is the difference between sum of squares and variance
2214,2214,What is the difference between the variance and the standard deviation
2215,2215,What is the difference between S and σ in statistics
2216,2216,Is sum of squares the same as standard deviation
2217,2217,What is linear classification in machine learning
2218,2218,What is linear regression classifier
2219,2219,How is random sampling done
2220,2220,What makes a filter linear non linear
2221,2221,Is low pass filter linear
2222,2222,What is linear image
2223,2223,What is a stimulus generalization
2224,2224,What does the steepness of a generalization gradient indicate
2225,2225,Why does stimulus generalization occur
2226,2226,What is an example of response generalization
2227,2227,What is P in Kalman filter
2228,2228,What is noise covariance
2229,2229,What is bootstrap machine
2230,2230,What is bootstrapping give an example
2231,2231,What is Gaussian in machine learning
2232,2232,How do you sample from the Gaussian process
2233,2233,What is Alpha in statistics
2234,2234,What is the beta in statistics
2235,2235,What is the relationship between alpha and beta in statistics
2236,2236,What is the value of alpha and beta
2237,2237,What are the advantages and disadvantages of KNN
2238,2238,What is PCA algorithm for face recognition
2239,2239,What is target concept in machine learning
2240,2240,How do you perform a likelihood ratio test
2241,2241,How do you interpret standard error of measurement
2242,2242,How do you interpret standard deviation and standard error
2243,2243,What is the difference between Anova and repeated measures Anova
2244,2244,What is the difference between repeated measures and independent measures
2245,2245,Is gradient descent the same as backpropagation
2246,2246,What is difference between gradient descent and stochastic gradient descent
2247,2247,What is gradient descent in neural network
2248,2248,What is a 2 layer neural network
2249,2249,Can a two and three layer network be equivalent if they have linear activation function for hidden layers
2250,2250,Which are the two functions commonly used as loss or cost functions in a neural network
2251,2251,Why use multiple layers in a neural network
2252,2252,What type of variable is categorical
2253,2253,Can you use categorical variables in random forest
2254,2254,How do you handle categorical variables in classification
2255,2255,Is it necessary to learn data structures and algorithms
2256,2256,Do I need to know data structures and data science algorithms
2257,2257,Is it worth learning data structures
2258,2258,What is a dependent event in probability
2259,2259,How do you know if probability is dependent or independent
2260,2260,What does independent event mean in probability
2261,2261,How can learning be adaptive
2262,2262,What is adaptive learning algorithm
2263,2263,What is adaptive learning in machine learning
2264,2264,What can cause a false positive for pregnancy
2265,2265,How do you calculate false positive and false negative
2266,2266,What is sparse cross entropy
2267,2267,What is From_logits true
2268,2268,How do you find the probability of independent events
2269,2269,What is an example of two independent events
2270,2270,What is the proper formula to find the probability of two dependent events
2271,2271,Where k means clustering can be applied
2272,2272,Why do we do cluster analysis
2273,2273,What does LDA mean
2274,2274,What is LDA in NLP
2275,2275,What is univariate statistics vs multivariate statistics
2276,2276,What is meant by vector space
2277,2277,What are vectors in machine learning
2278,2278,What is the difference between vector space and subspace
2279,2279,Why do we use vector space
2280,2280,What are activations in neural networks
2281,2281,Why do we use activation function in CNN
2282,2282,What is serial correlation and why can it be a problem when time series data are analyzed
2283,2283,What is the problem with autocorrelation
2284,2284,Does autocorrelation cause bias
2285,2285,What does batch size do
2286,2286,How can you recognize a pattern
2287,2287,What do you know about patterns
2288,2288,Why are convolutional neural nets used for image processing
2289,2289,What is factor analysis PDF
2290,2290,What is false positive and false negative
2291,2291,What is false positive in data science
2292,2292,What does Z stand for in probability
2293,2293,Why do z scores have a mean of 0
2294,2294,What are learning support strategies
2295,2295,What is decision tree method
2296,2296,How many decision trees are there
2297,2297,What is the importance of decision tree
2298,2298,What is spatial problem solving
2299,2299,What are spatial patterns
2300,2300,What are the problems of GIS
2301,2301,What does invariant mean in statistics
2302,2302,Are data mining and data mining process the same
2303,2303,How do you calculate 0.05 level of significance
2304,2304,What does P value indicate
2305,2305,What is the difference between Del and Delta
2306,2306,What is the difference between dy dx and Deltay Deltax
2307,2307,How do you use predictive models
2308,2308,What is predictive Modelling in machine learning
2309,2309,What does the name Sigma mean
2310,2310,What does Sigma mean in Latin
2311,2311,What does Sigma mean in statistics
2312,2312,What are the moments in statistics
2313,2313,What are raw and central moments
2314,2314,What is inductive and deductive learning
2315,2315,What is deductive learning
2316,2316,What is the difference between CDF and PDF
2317,2317,How do you find the CDF from a PDF
2318,2318,Can a binomial distribution be negative
2319,2319,What is Overfitting neural network
2320,2320,How do I fix Overfitting neural network
2321,2321,What does non Randomised mean
2322,2322,What does Randomised mean
2323,2323,What are risk statistics
2324,2324,What is supervised and unsupervised learning in neural networks
2325,2325,Can we use neural network for unsupervised learning
2326,2326,What is the function of unsupervised learning
2327,2327,How does Rabin Karp algorithm work
2328,2328,What is the basic principle in Rabin Karp algorithm
2329,2329,Where is Rabin Karp algorithm used
2330,2330,How hash values are used in Rabin Karp algorithm and explain with an example
2331,2331,What is the definition of nonlinear association
2332,2332,What does non linear mean
2333,2333,What is a real world example of a nonlinear function
2334,2334,Is the sampling distribution the same as the population distribution
2335,2335,How is the mean of the sampling distribution related to the mean of the population
2336,2336,How do I save and load model in TensorFlow
2337,2337,How do I save the keras model in TensorFlow
2338,2338,How do you find the average of a matrix in Matlab
2339,2339,How can I calculate average
2340,2340,How do you resize a matrix in Matlab
2341,2341,How do you find the mean of a matrix
2342,2342,What is weight in convolutional neural network
2343,2343,What are the weights in neural network
2344,2344,What are weights and biases in CNN
2345,2345,What is HPI data
2346,2346,What is filter in convolutional neural network
2347,2347,What is filter in convolution
2348,2348,What is the use of filters in CNN
2349,2349,What is Matlab used for in real life
2350,2350,What is ratio scale and interval scale
2351,2351,What is the difference between R and R 2
2352,2352,Is R 2 the correlation coefficient
2353,2353,What is a correlation coefficient example
2354,2354,What strategies do you use to ensure students are learning
2355,2355,How do you close a learning gap
2356,2356,What is learning gap in education
2357,2357,What is symmetry in statistics
2358,2358,What does it mean when a data set is symmetric
2359,2359,What are the different types of moments
2360,2360,What is moment about mean
2361,2361,What are moments of a random variable
2362,2362,What are moments used for
2363,2363,Why spark is used in Hadoop
2364,2364,Is spark a big data tool
2365,2365,How do you solve a Turing machine
2366,2366,Does scaling affect logistic regression
2367,2367,Can logistic regression be used for prediction
2368,2368,What are some misleading statistics
2369,2369,How do you know if statistics are misleading
2370,2370,What is statistical deception
2371,2371,What is a neural network used for
2372,2372,What does the loss function do
2373,2373,What is a loss function give example
2374,2374,What is optimization in machine learning
2375,2375,How can machine learning and optimization help each other better
2376,2376,How do you determine which Boxplot has more variability
2377,2377,How do you analyze a Boxplot
2378,2378,How do you statistically analyze survey data
2379,2379,What are the most commonly used statistical analysis measures
2380,2380,What statistical test should be used to analyze the data
2381,2381,How do you find input and output
2382,2382,How do you find the input and output data of a function
2383,2383,What are the input variable and the output variable
2384,2384,How many dependent variables can you have in an experiment
2385,2385,How do you know if something is discrete or continuous
2386,2386,Is date continuous or discrete variable
2387,2387,Can unequal class intervals be used in a frequency distribution
2388,2388,What is unequal class interval
2389,2389,How many types of class intervals are there
2390,2390,What are the two types of class interval
2391,2391,What does slope of regression line tell you
2392,2392,What is a good regression line
2393,2393,How do you know if a regression line is a good fit
2394,2394,What is distributed machine learning
2395,2395,Is TensorFlow distributed
2396,2396,How do you categorize text
2397,2397,What is the complement in statistics
2398,2398,Are hidden Markov models still used
2399,2399,How do you conduct a decision tree
2400,2400,What is a decision tree and how does it work
2401,2401,How do you use the decision tree in Sklearn
2402,2402,What is the margin of error in statistics
2403,2403,How do you find the margin of error on a TI 84
2404,2404,What is an example of an explanatory variable
2405,2405,How do you interpret variance
2406,2406,What is the purpose of variance
2407,2407,What does the variance and standard deviation tell us
2408,2408,What is a good variance
2409,2409,What is meant by Fourier series
2410,2410,How Fourier series is used in signal processing
2411,2411,What are the types of Fourier series
2412,2412,What is Fourier series and its applications
2413,2413,What is variable covariance
2414,2414,What is the covariance for a vector of random variables
2415,2415,Is backpropagation learning based on gradient descent along error surface
2416,2416,What kind of learning is backpropagation
2417,2417,What is Q table
2418,2418,What is deep Q
2419,2419,What do you call the set environments in Q learning
2420,2420,How do you interpret quartile range
2421,2421,What does a large range tell you
2422,2422,How do you determine if something is statistically significant in Excel
2423,2423,How do you test statistical significance
2424,2424,How do you test if difference is statistically significant
2425,2425,Which model type do you use for a continuous response variable
2426,2426,Which model works on continuous data
2427,2427,Which algorithm used to predict continuous values
2428,2428,How do you know if events are dependent
2429,2429,What makes an event independent or dependent
2430,2430,Is median and average same
2431,2431,Why are GPUs better for machine learning
2432,2432,Which of these is an example of predictive analytics
2433,2433,What are methods of predictive analytics
2434,2434,How do you describe a population and sample
2435,2435,How do you find the sample in statistics
2436,2436,What is a sample study in statistics
2437,2437,What is back propagation in artificial neural network
2438,2438,What is FFT and its applications
2439,2439,What are the applications of FFT
2440,2440,What is FFT in vibration analysis
2441,2441,What are the statistical analysis techniques
2442,2442,What are the different types of statistical techniques
2443,2443,What is word representation
2444,2444,What is the goal of learning word vectors
2445,2445,What is the purpose of Word2vec
2446,2446,What is the difference between GloVe and Word2vec
2447,2447,What makes the topic trend
2448,2448,How do you handle imbalance data sets
2449,2449,What is the difference between inductive machine learning and deductive machine learning
2450,2450,Is machine learning inductive
2451,2451,What is inductive learning in data mining
2452,2452,What are labels in ML
2453,2453,What is label data in machine learning
2454,2454,How do you measure the accuracy of a classification model
2455,2455,Which of the following evaluation metrics can be used for classification problems
2456,2456,How do recommendation systems work
2457,2457,What is feature extraction explain different feature extraction techniques
2458,2458,What does ROC AUC mean
2459,2459,Does class imbalance affect AUC
2460,2460,How do you scale data for machine learning
2461,2461,What is scaling in neural network
2462,2462,What is greedy method in algorithm
2463,2463,How does sample size affect sampling distribution
2464,2464,What is the effect of increasing sample size
2465,2465,How small is big sample size and skewness
2466,2466,In what way can artificial intelligence benefit society in the future
2467,2467,How many neurons are in the hidden layer
2468,2468,Is there any exact formula for calculating the number of hidden layers as many neurons in each hidden layer
2469,2469,How does the number of neurons and hidden layers affect the performance of the network
2470,2470,What are hidden neurons
2471,2471,Why sigmoid function is used in neural network
2472,2472,What is the best activation function in neural networks
2473,2473,What is Softmax function in neural network
2474,2474,What does polynomial regression tell you
2475,2475,How are polynomial features used in linear regression
2476,2476,Is polynomial regression still a linear regression
2477,2477,How do you fit a polynomial regression
2478,2478,What does partial correlation tell us
2479,2479,What is difference between random forest and decision tree
2480,2480,What is the difference between decision tree random forest and gradient boosting
2481,2481,What is the primary reason for using random forests instead of a single decision tree
2482,2482,What filtering data means
2483,2483,What is collaborative filtering algorithm
2484,2484,How does content based filtering work
2485,2485,What are characteristics of a good cluster analysis
2486,2486,How do you explain cluster analysis
2487,2487,Can mutual information be negative
2488,2488,Why is entropy non negative
2489,2489,How do you find conditional entropy
2490,2490,What is lazy learning algorithm
2491,2491,What is the difference between systematic random sampling and stratified random sampling
2492,2492,What is the difference between stratified and cluster sampling explain
2493,2493,What is the difference between simple random sampling and complex random sampling
2494,2494,What is the difference between simple random sampling and stratified sampling quizlet
2495,2495,What are the advantages of random forest
2496,2496,What are advantages of using decision trees
2497,2497,What is the difference between XGBoost and random forest
2498,2498,How do you know if two distributions are independent
2499,2499,How do you prove independence in statistics
2500,2500,How do you show a discrete random variable is independent
2501,2501,What are the parameters
2502,2502,How do you write a parameter
2503,2503,What are the types of parameter and explain parameter with example
2504,2504,What is parameter and variable
2505,2505,What do you mean by experimental and control group
2506,2506,What is the difference between the control group and the experimental group in an experimental study quizlet
2507,2507,What is the difference between an experimental group and a control group
2508,2508,What is feature engineering and why is it important for machine learning
2509,2509,How do you Linearize parabolic data
2510,2510,What is a feature in CNN
2511,2511,What is Ensemble
2512,2512,What is ensemble in data science
2513,2513,How is Bayes decision boundary calculated
2514,2514,Is Monte Carlo Tree Search Machine Learning
2515,2515,Is Monte Carlo a learning reinforcement
2516,2516,What is NLP and how does it work
2517,2517,What is NLP in detail
2518,2518,What is NLP example
2519,2519,What are the challenges in NLP
2520,2520,What is the difference between standardized and unstandardized residuals
2521,2521,What is the difference between residuals and standard residuals
2522,2522,What does Studentized residuals measure
2523,2523,What does the standardized residual mean
2524,2524,How does SGD choose learning rate
2525,2525,Is neural networking affected by learning
2526,2526,How can I improve my style transfer
2527,2527,What is W and B in neural network
2528,2528,What is Hyperparameters in machine learning
2529,2529,What is statistics and data analysis
2530,2530,Is data analysis and data analytics same
2531,2531,Is Data Analytics a statistic
2532,2532,What are the two types of data analysis
2533,2533,What is annealing in machine learning
2534,2534,Is simulated annealing stochastic
2535,2535,What is training and inference in AI
2536,2536,What is inferencing in machine learning
2537,2537,Why are decision trees prone to overfitting
2538,2538,What is a chi square test and why is it used
2539,2539,How do you interpret univariate analysis of variance in SPSS
2540,2540,How do you describe univariate analysis
2541,2541,How do you interpret data in SPSS
2542,2542,How are z scores used in real life
2543,2543,Why is it beneficial to use Z scores instead of raw scores
2544,2544,What is an advantage of converting raw data to z scores
2545,2545,How much time does it take to learn deep learning
2546,2546,What is a good learning rate for Adam
2547,2547,How do you know if data is biased
2548,2548,Do all information sources have bias
2549,2549,Is decision tree supervised learning
2550,2550,Is OLS linear regression
2551,2551,Is OLS linear
2552,2552,How many types of regression models are there
2553,2553,What are the types of linear regression
2554,2554,What type of regression is best
2555,2555,What is regression technique
2556,2556,What is the difference between sample and sampling
2557,2557,How does predictive analysis work
2558,2558,What is convolution and its types
2559,2559,What is convolution in Fourier Transform
2560,2560,Why we use linear regression in machine learning
2561,2561,What is the use of linear regression
2562,2562,What do linear regression tell you
2563,2563,What is the difference between box plot and histogram
2564,2564,What does a box plot show that a histogram doesn t
2565,2565,How do Boxplots and histograms match
2566,2566,Why use a box plot over a histogram
2567,2567,How do you find the expected value of a moment generating function
2568,2568,Why validation loss is lower than training loss
2569,2569,When validation accuracy is higher than training
2570,2570,How do you test face and content validity of questions
2571,2571,What does a convolutional layer do
2572,2572,What is deep learning in simple terms
2573,2573,How do you read a normal distribution curve
2574,2574,What does a normal distribution graph tell us
2575,2575,How do you analyze a normal distribution
2576,2576,How do you find the mean of a normal distribution
2577,2577,Where KNN algorithm is used
2578,2578,What is a machine learning model
2579,2579,What is the use of sigmoid function in neural network
2580,2580,What does the sigmoid function do in machine learning
2581,2581,How does a sigmoid function work
2582,2582,Can you have a standard deviation of 0
2583,2583,What can be said about a set of data with a standard deviation of 0
2584,2584,What does sample standard deviation tell you
2585,2585,What is a union statistics
2586,2586,What is the union of A and B
2587,2587,How do you find the union of independent events
2588,2588,What is the difference between probability sampling and Nonprobability sampling
2589,2589,What is the difference between probability and non probability sampling PDF
2590,2590,What is non probability sampling
2591,2591,What are the types of frequency distribution
2592,2592,What is mean by frequency distribution
2593,2593,What is frequency distribution PDF
2594,2594,How do you interpret log transformations
2595,2595,What does linear log mean
2596,2596,What are the major differences between econometrics and machine learning
2597,2597,How do you use ensemble in a sentence
2598,2598,What conditions are required for ordinary least squares regression analysis to be appropriate
2599,2599,Does least squares assume normal distribution
2600,2600,What is homogeneous vs heterogeneous
2601,2601,What does the mean square error tell you
2602,2602,What is computed by MSE in machine learning
2603,2603,What is regression effect in research
2604,2604,What is regression to the mean in statistics
2605,2605,What does linear model mean
2606,2606,What is model calibration and validation
2607,2607,What is model calibration What are the different model calibration techniques
2608,2608,What is an example of calibration
2609,2609,Where is facial recognition stored
2610,2610,What file type does facial recognition use
2611,2611,How does face tracking work
2612,2612,Why do we prefer binary search over ternary search
2613,2613,When would it be better to use a linear search over binary search
2614,2614,What is GLS in statistics
2615,2615,Is OLS a GLM
2616,2616,What are anchors in object detection
2617,2617,What is Bellman error
2618,2618,What is optimal value function
2619,2619,How do you make a probability distribution histogram
2620,2620,How do you convert a histogram to a probability density function
2621,2621,Is histogram a probability distribution
2622,2622,How do you calculate probability distribution
2623,2623,What field of study is Artificial Intelligence
2624,2624,What is back propagation in neural network
2625,2625,What is Backpropagation with example
2626,2626,How do you do K means clustering in R
2627,2627,How do you plot K means clustering
2628,2628,How do I prepare data for cluster analysis in R
2629,2629,What is K means in R
2630,2630,Can logistic regression be used for binary classification
2631,2631,What is an F test used for
2632,2632,Is F distribution normally distributed
2633,2633,What is regression in statistics with example
2634,2634,What is regression analysis and how is it used
2635,2635,What is multiple regression analysis with example
2636,2636,What is input function
2637,2637,How do you find the input and output
2638,2638,Why chi square test is called non parametric test
2639,2639,Which type of test is the chi square test an example of
2640,2640,How do you find the normal distribution in statistics
2641,2641,What is a distribution function in statistics
2642,2642,What is triplet network
2643,2643,What type of analysis is logistic regression
2644,2644,How do you solve a binomial with two variables
2645,2645,How do you factor Binomials step by step
2646,2646,What are the different types of agents in AI
2647,2647,How does hierarchical clustering make cluster
2648,2648,What is the use of covariance
2649,2649,Why do we use covariance matrix in PCA
2650,2650,How does population change in the world
2651,2651,Why does population size change
2652,2652,How do you find the correlation between two variables in SPSS
2653,2653,Which machine learning method is unsupervised learning
2654,2654,Which algorithm is used in machine learning
2655,2655,Which are the techniques of unsupervised learning
2656,2656,Why are recurrent neural networks hard to train
2657,2657,What does it mean for results to be robust
2658,2658,Are Gaussian and normal distribution the same
2659,2659,Why Gaussian distribution is called normal distribution
2660,2660,What is difference between normal distribution and standard normal distribution
2661,2661,How is neural network implemented in Matlab
2662,2662,How do you interpret a Boxplot
2663,2663,What are the different types of machine learning models
2664,2664,What is the correlation coefficient between the two variables
2665,2665,What is K means clustering used for
2666,2666,What does a cluster analysis tell you
2667,2667,What are the advantages and disadvantages of K means clustering
2668,2668,What are the advantages of using non standard unit of measurement
2669,2669,What is the difference between standard and non standard units
2670,2670,What are the non standard units of measurement
2671,2671,What is meant by Bayesian network
2672,2672,What exactly do you mean by spectral analysis
2673,2673,What does spectral analysis tell us about a star
2674,2674,Are some of the examples of unsupervised learning
2675,2675,What is meant by unsupervised learning
2676,2676,Is correlation affected by scaling
2677,2677,What types of variables are used for correlations
2678,2678,What does R and P mean in correlation
2679,2679,Which is a disadvantage of KNN
2680,2680,What are the pros and cons of KNN
2681,2681,What are advantages of KNN
2682,2682,How do you check for string similarity
2683,2683,Why dimensionality reduction is important in machine learning
2684,2684,What is a variational auto encoder
2685,2685,What does the Pearson product moment correlation coefficient tell you
2686,2686,How do you find the product moment correlation coefficient
2687,2687,Is degree of freedom n 1
2688,2688,What does the coefficient of variation tell us
2689,2689,What is acceptable coefficient of variation
2690,2690,What does variance mean in normal distribution
2691,2691,Can Softmax be used for regression
2692,2692,What do you mean by multivariate data
2693,2693,What does the test statistic tell you
2694,2694,How do you interpret statistics
2695,2695,How do you interpret the p value and t statistic
2696,2696,Is SVM machine learning or deep learning
2697,2697,What is SVM in deep learning
2698,2698,Is support vector machine a deep neural network
2699,2699,What is labeled and unlabeled data
2700,2700,What is labeling in machine learning
2701,2701,What does it mean to label data
2702,2702,What is stress in multidimensional scaling
2703,2703,How do you know a false negative
2704,2704,What is a false negative in statistics
2705,2705,What is false positive and false negative in IDS
2706,2706,What is one hot encoding and when is it used in data science
2707,2707,How does swarm work
2708,2708,Is swarm intelligence same as artificial intelligence
2709,2709,What is the difference between content based and collaborative filtering
2710,2710,What does content based filtering mean
2711,2711,What does negative binomial distribution represent
2712,2712,What is Dbscan algorithm explain with suitable example
2713,2713,How does density based clustering work
2714,2714,How do Dbscan assist in predictive analysis
2715,2715,How do you explain the Monty Hall problem
2716,2716,What is kosaraju's algorithm
2717,2717,How do you calculate strongly connected components
2718,2718,What is NLP in chatbot
2719,2719,Which NLP package is used in for demonstration of chatbot *
2720,2720,What can neural networks be used for
2721,2721,What is a Mann Whitney U test used for
2722,2722,What are the assumptions of the Mann Whitney U test
2723,2723,What is the null hypothesis for Mann Whitney test
2724,2724,What is a bivariate data in statistics
2725,2725,What does bivariate analysis mean
2726,2726,What is bivariate data used for
2727,2727,What are indicators
2728,2728,Are indicator random variables independent
2729,2729,How do you use an indicator function
2730,2730,How do you find outliers in data
2731,2731,What do you do with outliers in data
2732,2732,What would be considered an outlier
2733,2733,What is the likelihood function of binomial distribution
2734,2734,Why do we maximize likelihood function
2735,2735,What is the opposite of placebo effect
2736,2736,What will happen if we initialize all the weights to 0 in neural networks
2737,2737,Why is weight initialization important in neural networks
2738,2738,Is it okay to initialize the bias terms to 0
2739,2739,Why neurons should not all be initialized for all weights to the same value
2740,2740,What is Perceptron algorithm in machine learning
2741,2741,What is fixed effect and random effect
2742,2742,What is purpose of image processing
2743,2743,What is OpenCV in image processing
2744,2744,How do you calculate distribution
2745,2745,How do you calculate uniform probability distribution
2746,2746,Who invented decision theory
2747,2747,What are the components of decision theory
2748,2748,Is AdaBoost linear
2749,2749,What is AdaBoost regression
2750,2750,Can boosting be applied to regression
2751,2751,How do you find the Poisson distribution table
2752,2752,How do you solve Poisson distribution problems
2753,2753,How do you find the standard test statistic
2754,2754,How does Multilayer Perceptron work
2755,2755,What is weight in Perceptron
2756,2756,What is the difference between multiple regression and hierarchical regression
2757,2757,How do you interpret a hierarchical logistic regression
2758,2758,Why is the Z score considered a standardized score
2759,2759,Do z scores standardize a data set
2760,2760,How do you find a rank in statistics
2761,2761,What is a rank in statistics
2762,2762,What is rank correlation example
2763,2763,Why are convolutional layers better than fully connected layers for images
2764,2764,What is optimization in neural network
2765,2765,Which fundamental algorithm is used to train the neural network
2766,2766,How do you describe regression
2767,2767,How do you describe a regression model
2768,2768,What are hyper parameters and how do we set values of hyper parameters
2769,2769,What is the role of hyper parameter in regularization task
2770,2770,Is a one sample t test reported differently for one tailed and two tailed tests
2771,2771,How do you tell the difference between a one tailed and two tailed test
2772,2772,What is the difference between a Z test and a 1 sample t test
2773,2773,What are the assumptions of a one sample z test
2774,2774,What is uncertainty definition
2775,2775,What is information theory information rate
2776,2776,How do you find the entropy of information theory
2777,2777,What is NLP deep learning
2778,2778,Is Deep learning used in NLP
2779,2779,What is NLP in simple words
2780,2780,What are the levels of NLP
2781,2781,Why is ReLU used
2782,2782,What is the meaning of cross entropy
2783,2783,How do you read cross entropy
2784,2784,How do you read Word2Vec
2785,2785,What is Word2Vec used for
2786,2786,What is output vector
2787,2787,What is hybrid Bayesian network
2788,2788,What is the type of probability that is used in the Bayesian networks
2789,2789,What type of data structure is a Bayesian network
2790,2790,What is the process of developing a Bayesian networks model
2791,2791,What is the difference between predictive analytics and machine learning
2792,2792,Is Machine Learning a predictive model
2793,2793,Is Predictive analytics is same as forecasting
2794,2794,How does a GAN work
2795,2795,What is Labelled data in machine learning
2796,2796,What is unlabeled
2797,2797,How do you use unlabeled data
2798,2798,What is the variance of the sampling distribution of the mean
2799,2799,What affects sampling distribution
2800,2800,How does variability affect sample size
2801,2801,What is variability and why is it important
2802,2802,How do you know if a linear regression is appropriate
2803,2803,When should you use a linear model
2804,2804,What is non linear regression used for
2805,2805,Where should I add batch normalization
2806,2806,Where is batch normalization on CNN
2807,2807,Why does CNN use batch normalization
2808,2808,How does Expectation Maximization work
2809,2809,What does a multimodal histogram look like
2810,2810,Where is unsupervised learning used
2811,2811,What do you mean by unsupervised learning
2812,2812,Why do we assume normality of the error term
2813,2813,Why residual should be normally distributed
2814,2814,Why normality assumption is important in regression
2815,2815,Is Q learning model based
2816,2816,Is the log likelihood negative
2817,2817,How does log likelihood work
2818,2818,What is difference between DFT and FFT
2819,2819,Why FFT is preferred over DFT
2820,2820,How does natural language understanding work in AI
2821,2821,How many laws of logarithm are there
2822,2822,What are the logarithm properties
2823,2823,How geometric mean is calculated
2824,2824,What is the meaning of similarity and dissimilarity
2825,2825,What are the similarities and difference
2826,2826,What is the meaning of dissimilarity
2827,2827,What is the difference between similarity and distance measures
2828,2828,What is the probability of rolling a 6 with 2 dice
2829,2829,How do you write a random variable
2830,2830,What makes a variable random
2831,2831,How do you create a random sample
2832,2832,What is the function of data wrangling
2833,2833,What is data wrangling and exploratory analysis
2834,2834,Can binary variables correlated
2835,2835,How do you find the correlation between variables
2836,2836,What is a binary correlation
2837,2837,What is considered as robust statistic
2838,2838,What is the difference between bootstrapping bagging and boosting
2839,2839,Which of the following is true about bagging and boosting
2840,2840,How is a center point centroid picked for each cluster in K means select all that apply
2841,2841,How do you find the mean vector centroid
2842,2842,How do you test for Homoscedasticity in linear regression
2843,2843,What is the difference between relative frequency and cumulative frequency choose the correct answer below
2844,2844,What is relative cumulative frequency distribution
2845,2845,What is the purpose of relative and cumulative frequency
2846,2846,What is image analysis in image processing
2847,2847,What is the difference between image processing and image analysis
2848,2848,What are the steps in image processing
2849,2849,Why r squared is bad
2850,2850,What is trade off between bias and variance
2851,2851,How do you solve high bias problems
2852,2852,What is the use of probability sampling
2853,2853,What are the advantages of probability sampling over non probability sampling
2854,2854,What is the Facebook algorithm
2855,2855,What is the meaning of Gaussian
2856,2856,What does a Gaussian distribution look like
2857,2857,What is general boundary in machine learning
2858,2858,When you use the fundamental counting principle what are you counting
2859,2859,What is the fundamental principle of counting provide an example
2860,2860,What is the difference between field and vector space
2861,2861,What is meant by vector field
2862,2862,How do you control for a variable
2863,2863,What does it mean to control variables in an experiment
2864,2864,How do you determine if there is a statistically significant difference
2865,2865,How do you determine statistical significance between two sets of data
2866,2866,Is theano better than TensorFlow
2867,2867,How do you determine the accuracy of an image classification
2868,2868,What is accuracy in evaluation
2869,2869,What is the importance of neural networks in relation to brain development
2870,2870,Why is neural network important in AI
2871,2871,What are the advantages and disadvantages of neural networks
2872,2872,When should you use neural networks
2873,2873,What is the use of logarithm
2874,2874,What is a log function
2875,2875,How do you write an analysis for a photo
2876,2876,What does analyze the image mean
2877,2877,What are the things you consider when you are analyzing images
2878,2878,What are the four steps to reading a photograph
2879,2879,Which of the following is an example of discrete variable
2880,2880,What are types of continuous variables
2881,2881,What are the conditions required for parametric test
2882,2882,How do you deal with missing data in regression
2883,2883,How does logistic regression handle missing values
2884,2884,How do you deal with missing values in test data
2885,2885,What is an empirical probability distribution
2886,2886,How do you find the distribution function
2887,2887,What is the purpose of Max pooling layer in CNN
2888,2888,What is exponential distribution function
2889,2889,What is the PDF of an exponential distribution
2890,2890,How do you find the standard deviation of an exponential distribution
2891,2891,What is the difference between face validity and content validity
2892,2892,How is AI used today
2893,2893,How artificial intelligence is being used
2894,2894,What formula gives the standard deviation of a data set
2895,2895,How do you find the standard deviation between two sets of data in Excel
2896,2896,How can I calculate standard deviation
2897,2897,Why root mean square error is used
2898,2898,What is mean squared error in machine learning
2899,2899,What does a high mean squared error mean
2900,2900,Which of the following are benefits of stochastic gradient descent
2901,2901,What is the advantage of gradient descent
2902,2902,What are the different kernels in SVM
2903,2903,What does a Gaussian kernel do
2904,2904,What is bootstrap machine learning
2905,2905,What does bootstrapping mean
2906,2906,What is Knn in data mining
2907,2907,How do I know if my data follows a normal distribution
2908,2908,Does everything follow a normal distribution
2909,2909,What if data does not follow normal distribution
2910,2910,How do you do gradient descent
2911,2911,What is Autoencoder deep learning
2912,2912,What is deep Autoencoder
2913,2913,What's the meaning of tensor
2914,2914,What is a tensor in deep learning
2915,2915,Is a tensor just a matrix
2916,2916,What is momentum gradient descent
2917,2917,What is momentum in Adam Optimizer
2918,2918,What is a Bayesian network and why is it important in AI
2919,2919,Are Bayesian networks machine learning
2920,2920,Who invented Bayesian networks
2921,2921,How do you know if its a main effect or interaction
2922,2922,What is an interaction effect example
2923,2923,How do you write a partition function
2924,2924,What is molar partition function
2925,2925,How do you find the entropy of a partition function
2926,2926,How do you do a survival analysis
2927,2927,What is statistics and its examples
2928,2928,What is an example of sample statistic
2929,2929,What is statistics in simple words
2930,2930,What are 3 uses of statistics
2931,2931,Why is the vanishing gradient a problem
2932,2932,How do you know if a distribution is hypergeometric
2933,2933,How do you calculate hypergeometric probability
2934,2934,What is K in probability distribution
2935,2935,What is the difference between policy and value functions
2936,2936,Will the optimal value function obtained from policy iteration vs value iteration be different
2937,2937,How can inductive and deductive reasoning be improved
2938,2938,How do you improve inductive reasoning skills
2939,2939,What makes a distribution discrete
2940,2940,Is a normal distribution discrete or continuous
2941,2941,How do I choose which statistical test to use
2942,2942,What do you mean by non parametric test
2943,2943,Why do you need non linear activation functions
2944,2944,Why the activation function is needed in neural networks and also explain non linear activation functions
2945,2945,What does a correlation of 0 mean
2946,2946,Is Lstm discriminative or generative
2947,2947,Is logistic regression discriminative
2948,2948,What is the difference between discriminative and generative models
2949,2949,How does attention model work
2950,2950,What does attention layer do
2951,2951,What is Attention layer in deep learning
2952,2952,What is the sum of relative frequencies of data
2953,2953,What is the difference between a nonparametric test and a distribution free test
2954,2954,What is the difference between parametric and non parametric methods
2955,2955,What are the different non parametric tests
2956,2956,What does Gini mean in decision tree
2957,2957,What is entropy in decision tree learning
2958,2958,What is the difference between information gain and Gini index
2959,2959,What is meant by anomaly detection
2960,2960,What is anomaly detector used for
2961,2961,How do you use anomaly detection
2962,2962,What is the difference between theoretical and empirical
2963,2963,What is theoretical distribution
2964,2964,What is the difference between empirical probability and theoretical probability
2965,2965,What is a theoretical probability distribution
2966,2966,What is the difference between a research hypothesis and a statistical hypothesis
2967,2967,Which is a clustering algorithm
2968,2968,What are the different types of clusters in data mining
2969,2969,What is the difference between quota sampling and stratified sampling quizlet
2970,2970,What are the three major differences between cluster sampling and stratified sampling
2971,2971,What is clustering and types of clustering
2972,2972,Why clustering is done
2973,2973,How do you interpret the standard error of a regression coefficient
2974,2974,How do you do standard error in regression
2975,2975,What is the difference between multivariate data set and bivariate data
2976,2976,What is a Fourier transform used for
2977,2977,What is Fourier transform of sinc function
2978,2978,Why are eigenvalues so important
2979,2979,What is the meaning of eigen value
2980,2980,What do eigenvectors and eigenvalues represent
2981,2981,How can you improve the accuracy of the deep learning model
2982,2982,What does sample space mean
2983,2983,What correlation coefficient would you use for a linear relationship between two variables
2984,2984,What is the correlation between two random variables
2985,2985,How do we use AI in everyday life
2986,2986,What is artificial intelligence with real time example
2987,2987,How exactly does Word2Vec work
2988,2988,How does Word2Vec deal with unknown words
2989,2989,How do you evaluate a Word2Vec model
2990,2990,What is backpropagation algorithm in machine learning
2991,2991,What is censored in Kaplan Meier
2992,2992,What is an example of a false positive
2993,2993,Which library is used for text mining in R
2994,2994,How do you do text mining
2995,2995,What is text mining with examples
2996,2996,What is ridge in machine learning
2997,2997,Is Sobel filter a low pass filter
2998,2998,What is the difference between Sobel and Canny edge detection
2999,2999,How do you write a probability distribution
3000,3000,What is probability distribution used for
3001,3001,What are the applications of a recurrent neural network RNN )
3002,3002,What is difference between CNN and RNN
3003,3003,What are the problems of regression analysis
3004,3004,What is the disadvantage of linear model
3005,3005,What is class boundary class interval
3006,3006,When would you reduce dimensions in your data
3007,3007,What method would you choose to perform dimensionality reduction
3008,3008,Where is gradient descent used
3009,3009,Which algorithms use gradient descent
3010,3010,Does linear regression use gradient descent
3011,3011,Is 0 a real number Yes or no
3012,3012,Why is a high response rate in a survey critical
3013,3013,How do you calculate PPV
3014,3014,Why is a null hypothesis used
3015,3015,What is a null hypothesis and what is its purpose
3016,3016,How null hypothesis is useful in testing of significance
3017,3017,How does machine learning algorithm work
3018,3018,What is machine learning with example
3019,3019,What is a time series in statistics
3020,3020,Does a normal distribution always have a mean of 0
3021,3021,Can a sample mean always be calculated
3022,3022,Who is your bias meaning
3023,3023,Who is IU's bias in BTS
3024,3024,What is Underfitting in machine learning
3025,3025,What causes Underfitting
3026,3026,How do I know Underfitting
3027,3027,What is the difference between the two types of random variables
3028,3028,How do discrete and continuous random variables differ quizlet
3029,3029,What is the correct formula for standard deviation
3030,3030,How do you find SD from range and mean
3031,3031,How many standard deviation away from the mean
3032,3032,What are probability generating functions used for
3033,3033,How do you solve linear regression by hand
3034,3034,How is linear regression calculated
3035,3035,How is Doc2Vec different from Word2Vec
3036,3036,Is Bellman Ford algorithm greedy
3037,3037,What is the difference between strong AI and weak AI quizlet
3038,3038,Which Ai is known as strong artificial intelligence
3039,3039,What is exponential smoothing in forecasting
3040,3040,Why would you use exponential smoothing
3041,3041,Why is one form of the smoothing equation called the smoothing form
3042,3042,Why is exponential smoothing better than moving average
3043,3043,What does the mean of a dummy variable tell us
3044,3044,How many dummy variables are needed
3045,3045,Which statistics helps to make inferences about a population
3046,3046,What is population inference
3047,3047,Why is the log likelihood negative
3048,3048,Why does the behavior of the negative log likelihood function make it a good objective function for a minimization problem specifically when the output can be interpreted as a probability space
3049,3049,How does dropout work neural network
3050,3050,How do you do multinomial logistic regression in Excel
3051,3051,What are the disadvantages of deep learning
3052,3052,Is it worth learning deep learning
3053,3053,How do you use the Central Limit Theorem to find the probability of a sample mean
3054,3054,How do I calculate the sample mean
3055,3055,What is the main purpose of Nat
3056,3056,Should NAT be on or off
3057,3057,Why is Nat bad
3058,3058,How do activation functions work
3059,3059,What are activation functions and why do we need them
3060,3060,What are some applications of eigenvalues and eigenvectors
3061,3061,When the K means algorithm has reached the local or global minima
3062,3062,How do you find SSE in K mean
3063,3063,What are some limitations of using K means algorithm
3064,3064,What is the probability of a Type 1 error called
3065,3065,Is P value the same as Type 1 error
3066,3066,What is the difference between variance and deviation
3067,3067,What does variance mean
3068,3068,How do I find the variance
3069,3069,How does the naive Bayes algorithm help in classifying emails to the spam category explain with an example
3070,3070,How does the OLS estimator find the best fit line
3071,3071,What is least square fitting method
3072,3072,What is the meaning of the name kernel
3073,3073,What is kernel in simple words
3074,3074,Why Kalman filter is optimal
3075,3075,What is IDF in text mining
3076,3076,What is TF IDF in Python
3077,3077,Which has maximum entropy
3078,3078,What is entropy model
3079,3079,What is maxent model
3080,3080,What is the difference between ML and deep learning
3081,3081,What is the difference between deep learning and traditional learning models
3082,3082,What is parametric and nonparametric Modelling
3083,3083,What are the unsupervised learning algorithms
3084,3084,Which of the following is unsupervised learning method
3085,3085,What is the meaning of random experiment in probability
3086,3086,Why is reinforcement learning important
3087,3087,How can I improve my reasoning skills
3088,3088,How do you identify outliers in data mining
3089,3089,What is a good false discovery rate
3090,3090,What does FDR mean in statistics
3091,3091,What does a properly exposed histogram look like
3092,3092,How do you calculate median and survival time
3093,3093,What is median survival time
3094,3094,What does median survival not reached mean
3095,3095,How do you calculate survival
3096,3096,How do you find the basis of a vector
3097,3097,What is a basis of a vector space
3098,3098,How do you find the basis and dimension of a vector space
3099,3099,What is a basis for R2
3100,3100,What are the four parametric assumptions
3101,3101,Is Chi square a parametric test
3102,3102,How many types of median are there
3103,3103,What is the definition of mean in statistics
3104,3104,What is mean and its type
3105,3105,What is average and its types
3106,3106,What is PCA in machine learning
3107,3107,Which is the most common method used in regression model
3108,3108,How do you improve regression models
3109,3109,Is the mean of a normal distribution always 0
3110,3110,What is the difference between artificial intelligence and computational intelligence
3111,3111,What is the relationship between human intelligence and artificial intelligence
3112,3112,What does the area under the ROC curve represent
3113,3113,What does area under the curve measure
3114,3114,How do you interpret autocorrelation
3115,3115,What is the point of autocorrelation
3116,3116,What is ACF used for
3117,3117,What are models in neural networks
3118,3118,What is model and algorithm
3119,3119,What does serial correlation mean
3120,3120,What causes serial correlation
3121,3121,How is serial correlation measured
3122,3122,What is the difference between autocorrelation and serial correlation
3123,3123,What are the tools used for machine learning
3124,3124,What are the things required to learn machine learning
3125,3125,What are the methods of machine learning
3126,3126,What are deep learning tools
3127,3127,What is least square method formula
3128,3128,How do you find the least squares regression line by hand
3129,3129,How do you calculate the regression equation
3130,3130,What does high standard deviation tell us
3131,3131,Why do we use word Embeddings in NLP
3132,3132,What are advantages of sampling
3133,3133,How do you find best K for Knn
3134,3134,How can we increase the accuracy of KNN
3135,3135,What is the accuracy of the KNN model on the test set
3136,3136,What is distributional shift
3137,3137,What is a data shift
3138,3138,How do you describe covariance
3139,3139,What is covariance vs variance
3140,3140,What is population frame
3141,3141,What are sampling frames
3142,3142,How can we increase the accuracy of random forest
3143,3143,What is boosting Why does it improve the accuracy of decision tree induction
3144,3144,Why is offline learning better
3145,3145,How do you explain a scatter plot
3146,3146,When would you use a scatter plot examples
3147,3147,What is the difference between accuracy and validation accuracy
3148,3148,What does a decrease in entropy mean
3149,3149,How do you know if entropy increases or decreases
3150,3150,What does it mean when entropy increases
3151,3151,What is parameter optimization in machine learning
3152,3152,Can you use neural networks for regression
3153,3153,What are convolutional neural networks good for
3154,3154,Which is better human intelligence or artificial intelligence
3155,3155,What is artificial intelligence and human intelligence
3156,3156,Can a computer mimic human intelligence
3157,3157,What is the difference between Anova Manova and Ancova
3158,3158,What is the difference between blinded and unblinded study
3159,3159,How does evolution occur through random processes
3160,3160,What is the relationship between artificial intelligence machine learning and deep learning
3161,3161,How do you define an optimization problem
3162,3162,What is an optimization algorithm
3163,3163,What is optimization problem in DAA
3164,3164,What is a null and alternative hypothesis example
3165,3165,What is alternative hypothesis
3166,3166,Is the alternative hypothesis the opposite of the null hypothesis
3167,3167,What type of learning is decision tree
3168,3168,What is decision tree
3169,3169,Is CNN a neural network
3170,3170,What is GloVe Embeddings
3171,3171,What are different types of normalization
3172,3172,What do you mean by normalization
3173,3173,How many normalization forms are there
3174,3174,What is the difference between conditional and marginal distributions
3175,3175,Does interquartile range measure variability
3176,3176,What are two problems with range as a measure of variability
3177,3177,Which measure of variability is most accurate
3178,3178,Why do we use N 1 for standard deviation
3179,3179,Why does the standard deviation formula subtract 1 from the sample size
3180,3180,What is an off policy algorithm
3181,3181,Are PPO policies off
3182,3182,What is a policy in reinforcement learning
3183,3183,Is there a difference between variance and sample variance
3184,3184,What is estimation variance
3185,3185,Is sample variance the same as sample mean
3186,3186,What is statistical convergence
3187,3187,How do you find the least squares of a linear regression
3188,3188,How do you interpret probability density
3189,3189,What is the difference between probability and probability density
3190,3190,How do you prove probability density function
3191,3191,What is the use of bag of words
3192,3192,What is the difference between AI and machine learning
3193,3193,Is machine learning better than AI
3194,3194,What does the covariance tell you
3195,3195,What's a good NPS score for SaaS
3196,3196,How do you determine endogenous and exogenous variables
3197,3197,What is the domain of a random variable
3198,3198,Is age a discrete variable
3199,3199,Is weight a discrete variable
3200,3200,What is the difference between chi square test and Anova
3201,3201,How do you read a Fisher's exact test
3202,3202,Why do we use Anova in statistics
3203,3203,What is cost function in linear regression
3204,3204,What is the function of linear regression
3205,3205,What is heuristic in artificial intelligence
3206,3206,What do you mean by data stream
3207,3207,What is streaming data used for
3208,3208,What are the two types of GIS data
3209,3209,Is the Internet a data stream or a network
3210,3210,What does Lambda stand for in statistics
3211,3211,What exactly is Bootstrap
3212,3212,Why is bootstrap bad
3213,3213,How do I use bootstrap
3214,3214,How does neural network determine number of parameters
3215,3215,What are learnable parameters in neural networks
3216,3216,What is parameter sharing in CNN
3217,3217,How does CNN decide how many layers
3218,3218,What does P value of 0.01 mean
3219,3219,What does P value of 0.07 mean
3220,3220,Why do we need loss function
3221,3221,Which is loss function here
3222,3222,What are the laws of AI
3223,3223,Is there a limit to artificial intelligence
3224,3224,What is AUC ROC in machine learning
3225,3225,How is ROC and AUC calculated
3226,3226,What is ROC curve used for
3227,3227,What type of sampling is cluster sampling
3228,3228,Who uses cluster sampling
3229,3229,What is multistage sampling with example
3230,3230,Is 0 a real number or not
3231,3231,Where can I find big data sets
3232,3232,What is network in network theory
3233,3233,What is meant by naive Bayes
3234,3234,What is naive about the naive Bayes model
3235,3235,Which package is used in R for working on naïve Bayesian classifiers
3236,3236,How do we use artificial intelligence in everyday life
3237,3237,What is the difference between convergence and uniform convergence
3238,3238,Why we use Gaussian filter in image processing
3239,3239,How does a Gaussian filter work
3240,3240,Why filters are used in image processing
3241,3241,What is NLP in coding
3242,3242,How do you find the expectation of a Poisson distribution
3243,3243,How do you calculate the expected value
3244,3244,What is the expected value of this distribution
3245,3245,What is the lambda value for the Poisson distribution
3246,3246,What is model agnostic meta learning
3247,3247,How do you find the expected value of a probability distribution
3248,3248,What is the expected value of the probability distribution of a random variable
3249,3249,Why is it important to know the expected value of a probability distribution
3250,3250,Is expected value distributive
3251,3251,What is concept of entropy
3252,3252,What is entropy explain with example
3253,3253,Who introduced the concept of entropy
3254,3254,What is entropy in philosophy
3255,3255,How do you write a predictive model
3256,3256,What makes a good predictive model
3257,3257,Does logistic regression give probability
3258,3258,How do you find probability in logistic regression
3259,3259,Why do we use logistic function
3260,3260,Why security is a contested concept
3261,3261,What does the chi square test statistic tell you
3262,3262,What is the calculated test statistic
3263,3263,What is the minimum sample size for chi square test
3264,3264,What is the p value for chi square test
3265,3265,How do you interpret a chi square statistic
3266,3266,What is RMSE in linear regression
3267,3267,Which regression model is better
3268,3268,What are intelligent agents and how are they used in AI
3269,3269,What are the characteristics of an intelligent agent
3270,3270,Is AI supervised or unsupervised
3271,3271,What type of AI is machine learning
3272,3272,What is the likelihood probability
3273,3273,What is Artificial Intelligence IBM
3274,3274,What are the response variables
3275,3275,What is a response variable example
3276,3276,What is the dependent or response variable
3277,3277,Which of the following best describes a response variable
3278,3278,What is a latent profile analysis
3279,3279,What is binomial probability distribution with example
3280,3280,What is binomial distribution used for
3281,3281,What are the 4 characteristics of a binomial experiment
3282,3282,Why is linear regression not ideal for binary outcomes
3283,3283,Why linear regression is not suitable for classification
3284,3284,What are classifiers in machine learning
3285,3285,What are classifiers in ML
3286,3286,How is probability theory used in data science
3287,3287,How do you find the probability of data
3288,3288,What is additive in statistics
3289,3289,What is additive regression
3290,3290,How do you find the Dtft of a signal in Matlab
3291,3291,How do you know if a distribution is lognormal
3292,3292,How do you convert normal distribution to lognormal distribution
3293,3293,Why is classification used in machine learning
3294,3294,How is classification algorithm used
3295,3295,What is multivariable regression analysis
3296,3296,What do you mean by multivariate analysis
3297,3297,How do you determine correlation significance
3298,3298,How do you check if a correlation is significant in R
3299,3299,How is stacking different from bagging and boosting
3300,3300,What is bagging technique in machine learning
3301,3301,How do you improve classifier performance
3302,3302,What is linear transformation with example
3303,3303,What is algebra of linear transformation
3304,3304,What is a linear transformation of a matrix
3305,3305,How do you show a linear transformation
3306,3306,What is theory of decision making
3307,3307,What is decision theory in AI
3308,3308,What is the difference between Wilcoxon and Mann Whitney
3309,3309,What is the difference between AI and CI
3310,3310,What do the term computational intelligence systems signify
3311,3311,How do you calculate the harmonic mean
3312,3312,What is weight and bias in neural network
3313,3313,What is network weight
3314,3314,How do you set weights in neural network
3315,3315,What is weight matrix in neural network
3316,3316,Is TensorFlow deep learning
3317,3317,Is TensorFlow good for machine learning
3318,3318,What is latent variable in SEM
3319,3319,What is pooling layer in CNN
3320,3320,What are the different layers on CNN
3321,3321,How is regression different from classification
3322,3322,Why regression is better than classification
3323,3323,Is Regression a predictive model
3324,3324,What is embedding in deep learning
3325,3325,What is the moment estimator for θ
3326,3326,Why do we use activation functions
3327,3327,Do all random variables have probability distributions
3328,3328,What is the difference between variable and random variable
3329,3329,Why does Stata drop dummy variables
3330,3330,Why do we need dummy variables in regression
3331,3331,What is panel data vs time series
3332,3332,What is a time series data
3333,3333,How do you make a dataset
3334,3334,What is dataset in deep learning
3335,3335,How do I create a Tensorflow dataset
3336,3336,How do you create a training dataset for machine learning
3337,3337,What is the difference between multiple regression and multivariate regression
3338,3338,Is multivariate regression linear regression
3339,3339,Which is an example of multiple regression
3340,3340,How do you interpret multivariable regression
3341,3341,What does non linearity mean
3342,3342,Why do we need non linearity in neural network
3343,3343,What is non linearity in CNN
3344,3344,How do you evaluate a generative adversarial network
3345,3345,How do generative adversarial networks work
3346,3346,Where is the homunculus located
3347,3347,How do you interpret hierarchical clustering results
3348,3348,Is Hopfield network a recurrent neural network
3349,3349,Which of the following characterizes learning in the Hopfield network
3350,3350,What are the mean and variance for a binomial distribution
3351,3351,What is the mean of a binomial distribution
3352,3352,What is the relation between mean and variance of a Poisson distribution
3353,3353,What are the benefits of stratified sampling
3354,3354,How do we confirm causation between the variables
3355,3355,What is iteration in neural network
3356,3356,What is Batch_size
3357,3357,What is difference between epoch and iteration
3358,3358,What is Batch_size in Tensorflow
3359,3359,How do you hook up a TensorBoard
3360,3360,How do you use a keras TensorBoard
3361,3361,How do you display a TensorFlow graph
3362,3362,What is canny OpenCV
3363,3363,What are some edge detection techniques
3364,3364,How do you calculate joint PDF from marginal PDF
3365,3365,What is a joint PDF
3366,3366,How do you calculate a random variable PDF
3367,3367,What would best describe a bimodal distribution
3368,3368,How do you describe data distribution
3369,3369,What are the advantages of non parametric tests
3370,3370,What are the features of non parametric test
3371,3371,What are the advantages of nonparametric tests over parametric tests
3372,3372,What are the 4 probability rules
3373,3373,Which are the laws of probability
3374,3374,Can PCA be used to reduce the dimensionality of a non linear data
3375,3375,Does PCA work on non linear data
3376,3376,Is AUC a good performance measure
3377,3377,Which service is used to suggest class bounding boxes
3378,3378,Why principal component analysis is important in machine learning for feature extraction
3379,3379,How do you calculate false negative rate from sensitivity and specificity
3380,3380,How do you calculate false positive rate from confusion matrix
3381,3381,How do you describe the distribution of categorical data
3382,3382,Which of the following can be used to see the frequency distribution of a categorical variable
3383,3383,How do you find the efficiency of an algorithm
3384,3384,What is the efficiency class of this algorithm
3385,3385,What is the efficiency of an algorithm dependent on
3386,3386,Why is measuring algorithm efficiency important
3387,3387,What is the average case time complexity of linear search
3388,3388,What is the average case complexity of binary search
3389,3389,What is the time complexity of interpolation search when the input array has uniformly distributed values and is sorted note that LG represents binary logarithm
3390,3390,When can you use normal approximation
3391,3391,Why do we approximate binomial with normal
3392,3392,What are the conditions for using the normal approximation for a sampling distribution
3393,3393,Which of the following is a representation learning algorithm
3394,3394,What is mode used for in statistics
3395,3395,What are the advantages of mode in statistics
3396,3396,What are the application of artificial intelligence system
3397,3397,What is AI applications and examples of AI
3398,3398,What are the examples of artificial intelligence
3399,3399,How do you find the Gaussian distribution
3400,3400,How do you derive a distribution
3401,3401,How do you prove standard normal distribution
3402,3402,What is regularization and what problem does it try to solve
3403,3403,How a neural net is used for classification
3404,3404,Are neural networks part of deep learning
3405,3405,What is neural network in deep learning
3406,3406,What is a distribution function in probability
3407,3407,What is distribution function and its properties
3408,3408,What is model visualization
3409,3409,How do you visualize an algorithm
3410,3410,Why is random forest better than decision tree
3411,3411,What is multi level approach
3412,3412,What is multilevel analysis
3413,3413,What is multilevel logistic regression
3414,3414,Why is autocorrelation useful
3415,3415,What is autocorrelation function in time series
3416,3416,Why is ReLU used in hidden layers
3417,3417,How do you calculate survival function
3418,3418,What is survival probability
3419,3419,Where is the rejection region for the hypothesis test located
3420,3420,What does hypothesis mean in statistics
3421,3421,What is hypothesis testing in probability and statistics
3422,3422,How do you write a hypothesis in statistics
3423,3423,How do you find the distribution of the sample mean
3424,3424,What is the sampling distribution of the sample mean definition
3425,3425,How do you find the mean of a distribution
3426,3426,What is a suggested evaluation measure for a regression problem
3427,3427,What is regression evaluation metrics
3428,3428,How do you evaluate the performance of a regression prediction model
3429,3429,What does it mean to be quantized
3430,3430,What does it mean when energy is quantized
3431,3431,What do statistical tests tell us
3432,3432,What does the probability value of a statistical test tell you
3433,3433,How do you evaluate statistical results
3434,3434,Why is Gaussian distribution called normal
3435,3435,Is Gaussian distribution same as normal distribution
3436,3436,Why is it important to test the normality of a distribution
3437,3437,Why do we assume normal distribution
3438,3438,How do you measure association between categorical variables
3439,3439,How do you know if data is continuous or categorical
3440,3440,How do you compare two continuous variables
3441,3441,Why sample variance is unbiased
3442,3442,What is unbiased estimator of variance
3443,3443,Is sample standard deviation an unbiased estimator
3444,3444,How causation is not the same as correlation
3445,3445,What is an example of correlation but not causation
3446,3446,What does it mean if two variables are not correlated
3447,3447,Which regression method is also known as the ordinary least squares estimation
3448,3448,What is meant by least squares in a simple regression model
3449,3449,What is the importance of statistical inference
3450,3450,What is statistical inference Why is it important quizlet
3451,3451,What does parametric mean in statistics
3452,3452,Which types of data are normally used in parametric statistics
3453,3453,How do you find the cross product of two vectors
3454,3454,Why is cross product a vector
3455,3455,How do I start learning data structures
3456,3456,What is an objective function machine learning
3457,3457,How can machine learning reduce bias
3458,3458,How do you reduce the bias of an algorithm
3459,3459,Why do we use bias in machine learning
3460,3460,How do you do regression with a categorical variable
3461,3461,Is sample variance equal to population variance
3462,3462,How do you calculate population variance
3463,3463,What is bias in data
3464,3464,What is a bias in neural network
3465,3465,What is AUC calculation
3466,3466,What is area under the curve ROC
3467,3467,How do you find the equation of the least squares regression line
3468,3468,How do you find the equation of the regression line
3469,3469,What is conjoint analysis not used for
3470,3470,How do you conduct a conjoint analysis
3471,3471,How do you calculate decision tree
3472,3472,How do you calculate net gain decision tree
3473,3473,What is information extraction in NLP
3474,3474,What is relation classification
3475,3475,What are examples of information extraction
3476,3476,How does Entity extraction work
3477,3477,How do you calculate absolute and relative error
3478,3478,How do you calculate the absolute error
3479,3479,How do you find the relative error
3480,3480,What is relative error example
3481,3481,What is meant by inter rater reliability
3482,3482,How is inter rater reliability calculated
3483,3483,How do you establish interrater reliability
3484,3484,What is the difference between intra rater and inter rater reliability
3485,3485,How do you deal with outliers in clustering
3486,3486,How is an outlier related to a cluster
3487,3487,Do outliers affect clustering
3488,3488,What is your definition of learning
3489,3489,What is the importance of learning how do you learn
3490,3490,What is the study of learning
3491,3491,What is learning and example
3492,3492,Where is dimensional analysis used
3493,3493,What tests how one variable is affected by another
3494,3494,What is exponential distribution used for
3495,3495,How do you find the exponential distribution
3496,3496,What is the difference between Poisson and exponential distribution
3497,3497,What is the use of regularization What are L1 and L2 regularization
3498,3498,How do you rank up in Kruskal Wallis test
3499,3499,How do you know which distribution is discrete
3500,3500,What is meant by feature extraction
3501,3501,What features are extracted in CNN
3502,3502,What is feature extraction in neural network
3503,3503,Why is the axiom of choice controversial
3504,3504,Are disjoint sets mutually exclusive
3505,3505,Can these two events be disjoint
3506,3506,How do you prove two sets are disjoint
3507,3507,Is AI the same as machine learning
3508,3508,What is mean by machine learning
3509,3509,What is the difference between AI machine learning and deep learning
3510,3510,What is a good test retest reliability
3511,3511,How do you calculate reliability using test retest
3512,3512,How does deep learning learn
3513,3513,What is gradient in gradient boosting
3514,3514,What does false negative result mean
3515,3515,What does a false negative look like
3516,3516,What is true negative and false negative
3517,3517,What are class boundaries
3518,3518,What is class limit in frequency distribution
3519,3519,What is a neuron in deep learning
3520,3520,What is a neuron in neural network
3521,3521,What are the main components of a Markov decision process
3522,3522,Which of the following of a random variable is a measure of spread
3523,3523,What does it mean for a random variable to be measurable
3524,3524,What is big data analytics used for
3525,3525,What is Big Data Analytics and why is it important
3526,3526,Is big data part of data analytics
3527,3527,What is the meaning of blurred image
3528,3528,What does blurring mean
3529,3529,How does a blur filter work
3530,3530,What are parametric and nonparametric methods
3531,3531,What is the mean and variance of geometric distribution
3532,3532,What is continuous probability function
3533,3533,What's the difference between PDF and CDF
3534,3534,What does a probability density function tell us
3535,3535,How do you find continuous probability
3536,3536,How do you handle collinearity in regression
3537,3537,Why Multicollinearity is a problem in regression
3538,3538,How can we detect Multicollinearity
3539,3539,What happens when there is Multicollinearity
3540,3540,What does a significance level at P .05 mean
3541,3541,Why is the P value of 0.05 somewhat arbitrary
3542,3542,What does optical flow do
3543,3543,What does normal distribution of data mean
3544,3544,Is the data normally distributed
3545,3545,How do you determine if data is normally distributed
3546,3546,Is gradient descent a greedy algorithm
3547,3547,What is Gaussian blur used for
3548,3548,How is Gaussian filter implemented
3549,3549,How do you interpret a correlation
3550,3550,What is the relationship between covariance and the correlation coefficient
3551,3551,What does COV XY mean
3552,3552,Why SVM is large margin classifier
3553,3553,What is margin in SVM
3554,3554,How do you perform a regression analysis
3555,3555,How do you analyze a regression line
3556,3556,What is the use of regression analysis with example
3557,3557,What is the difference between one and two sided hypothesis tests
3558,3558,What is a one sided hypothesis
3559,3559,How do you analyze statistical significance
3560,3560,What is statistical significance in research
3561,3561,What does a statistical significance of 0.05 mean
3562,3562,What is the main problem of NLP
3563,3563,What makes NLP difficult
3564,3564,What are various challenges in NLP and how are they resolved
3565,3565,How do Kalman filters work
3566,3566,How do we determine noise covariance matrices Q & R
3567,3567,Are Boltzmann machines still used
3568,3568,Is confidence interval always two tailed
3569,3569,How do you know if it's two tailed or one tailed
3570,3570,Are confidence intervals symmetrical
3571,3571,What is penalty in ridge regression
3572,3572,Is Mean Deviation same as standard deviation
3573,3573,What does standard deviation from the mean mean
3574,3574,What are the different types of hashing techniques
3575,3575,How many techniques are there for making a hashing function
3576,3576,How do you create a hash function
3577,3577,Which hashing technique is best
3578,3578,What is normal approximation formula
3579,3579,What is NP and NQ in statistics
3580,3580,What is correlation and association
3581,3581,What means that there is a relationship between two variables
3582,3582,What is an association in statistics
3583,3583,What is relative frequency distribution
3584,3584,What does relative frequency mean in statistics
3585,3585,How do you find the relative frequency of a distribution
3586,3586,What is the role of philosophy in AI
3587,3587,What is AI theory
3588,3588,What is strong AI in philosophy
3589,3589,Who came up with the idea of artificial intelligence
3590,3590,What is probability and statistics class
3591,3591,What is the importance of statistics and probability
3592,3592,What are the statistics
3593,3593,Is Probability and Statistics easy
3594,3594,What is method comparison
3595,3595,How do you compare measurements
3596,3596,What are the 2 types of learning in AI
3597,3597,What are the four different types of learning in AI
3598,3598,What are the types of learning in machine learning
3599,3599,Is sample variance biased or unbiased
3600,3600,Is sample mean an unbiased estimator
3601,3601,Why we use ARMA model
3602,3602,Is ordinal data continuous or discrete
3603,3603,Is a neural network a model
3604,3604,Are neural networks probabilistic models
3605,3605,What are two examples of graphical models
3606,3606,What is the Student t distribution used for
3607,3607,What is the basic shape of the Student t distribution
3608,3608,Which discrete probability distribution has the highest entropy and why
3609,3609,What is the entropy of a distribution
3610,3610,What are the four assumptions of regression
3611,3611,What assumptions are required for linear regression What if some of these assumptions are violated
3612,3612,Is linear regression discriminative
3613,3613,What is discrete and continuous probability
3614,3614,What is discrete probability
3615,3615,What is continuous probability
3616,3616,How do you distribute a factorial
3617,3617,What does factorial mean
3618,3618,What does root mean square error tell you
3619,3619,How does Arima forecasting work
3620,3620,What is Arima model forecasting
3621,3621,What is the difference between class limits and class boundaries choose the correct answer below
3622,3622,What is the difference between limits and boundaries
3623,3623,How do you find the relationship between categorical variables
3624,3624,What is hypergeometric distribution used for
3625,3625,Why is it called hypergeometric distribution
3626,3626,What is the hypergeometric distribution formula
3627,3627,How is true positive rate and recall related
3628,3628,How do you determine K in K means clustering
3629,3629,What kind of clusters that K means clustering algorithm produce
3630,3630,What are the types of clustering
3631,3631,What is the difference between AI and Cognitive Computing
3632,3632,Is cognitive computing the same as machine learning
3633,3633,What is the definition of algorithm
3634,3634,What is the difference between cluster sampling and multistage sampling
3635,3635,What is meant by multistage sampling
3636,3636,How are weights calculated CNN
3637,3637,What is the difference between RNN and CNN
3638,3638,What is the difference between artificial neural network and convolutional neural network
3639,3639,Where do you think AI could make the most impact
3640,3640,What is Heisenberg Uncertainty Principle
3641,3641,What is Heisenberg Uncertainty Principle Class 11
3642,3642,When was Heisenberg's Uncertainty Principle
3643,3643,What is momentum neural network
3644,3644,What is momentum in deep learning
3645,3645,What is the mean of the sampling distribution of the difference in sample means
3646,3646,How do you cluster a categorical variable
3647,3647,Can categorical data have a distribution
3648,3648,Why do we use t instead of z
3649,3649,Why do we use t statistics
3650,3650,How important predictive analytics is in data analytics
3651,3651,How do I create a variable categorical in SPSS
3652,3652,How do you categorize continuous variables
3653,3653,What is the purpose of adding a regularization term to a loss function
3654,3654,What is sequential model in CNN
3655,3655,What is sequential model in machine learning
3656,3656,Is P value the probability of type 1 error
3657,3657,What is RMS accuracy
3658,3658,What is RMS error in GIS
3659,3659,What is the use of thresholding an image
3660,3660,What does image thresholding mean
3661,3661,What is thresholding based image segmentation
3662,3662,Why unsupervised learning is used
3663,3663,What is a small coefficient of variation
3664,3664,What does a Gaussian distribution tell us
3665,3665,Why Gaussian distribution is important
3666,3666,Why is the Gaussian distribution often used in machine learning
3667,3667,What is Gaussian distribution in probability
3668,3668,What is margin in CSS box model
3669,3669,How do you know if a regression line is linear
3670,3670,Is quantile regression nonparametric
3671,3671,What does F distribution tell us
3672,3672,What is F distribution used for
3673,3673,What does F value stand for
3674,3674,What can you do with artificial intelligence
3675,3675,How artificial intelligence is useful to us
3676,3676,How do you interpret a linear regression
3677,3677,What does the regression equation tell you
3678,3678,What is the use of face detection
3679,3679,What is meant by face recognition
3680,3680,What is the difference between face recognition and detection
3681,3681,What is the difference between recognition and detection
3682,3682,What happens when a distribution is positively skewed
3683,3683,What does a positive skew tell you
3684,3684,What does positively skewed histogram mean
3685,3685,What does a positive skew mean in box plots
3686,3686,What is the difference between multi class and multi label classification
3687,3687,What are the uses of augmented reality
3688,3688,What is augmented reality example
3689,3689,What is augmented reality and how does it work
3690,3690,What is augmented reality and its applications
3691,3691,How do you interpret Pearson product moment correlation
3692,3692,What does the Pearson product moment correlation coefficient measure when is it appropriate to use
3693,3693,How do you find the z score of a test statistic
3694,3694,What is the difference between a Z test and a t test
3695,3695,What does Z score mean in statistics
3696,3696,How does a transition matrix work
3697,3697,How do you tell if a matrix is a transition matrix
3698,3698,What is transition matrix model
3699,3699,What is transition matrix in Markov chain
3700,3700,How do you analyze regression results
3701,3701,How do you interpret OLS regression results
3702,3702,How do you interpret multiple regression results
3703,3703,What is the purpose of hierarchical clustering
3704,3704,What is the function of a hierarchical analysis
3705,3705,What are the types of hierarchical clustering
3706,3706,What is hierarchical clustering in machine learning
3707,3707,Which machine learning algorithms is used for dimensionality reduction
3708,3708,What is classification and regression
3709,3709,What is the difference between a classification tree and a regression tree
3710,3710,What is classification tree analysis
3711,3711,How does classification and regression tree work
3712,3712,What is the use of image classification
3713,3713,What is image recognition in AI
3714,3714,Why is image recognition a key function of AI
3715,3715,What are Gaussian models
3716,3716,What is Gaussian process classification
3717,3717,How do you sample a Gaussian process
3718,3718,How does convolutional neural networks work
3719,3719,How does a convolution work
3720,3720,What is the benefit of clustering
3721,3721,Is Gan a generative model
3722,3722,What is r squared equal to
3723,3723,How do you calculate RMSE in linear regression in R
3724,3724,What is Minimax algorithm in artificial intelligence
3725,3725,How can we use normal distribution in real life
3726,3726,What are the examples of discrete probability distribution
3727,3727,Does TensorFlow use backpropagation
3728,3728,Is the brain a neural network
3729,3729,Does unsupervised learning use backpropagation
3730,3730,How do you predict a decision tree
3731,3731,How does Decision Tree algorithm work for regression
3732,3732,How do you train a regression tree
3733,3733,How do you determine the depth of a decision tree
3734,3734,How do you split data into training testing and validation
3735,3735,Which method do we use to split the data
3736,3736,What does a determinant tell you
3737,3737,What is a determinant and how is it evaluated
3738,3738,Is Det AB )= det A det B
3739,3739,What are generative and discriminative algorithms
3740,3740,Which variables are always discrete
3741,3741,How do you know if a variable is discrete or continuous
3742,3742,How are sampling distributions different from other distributions
3743,3743,How do you find the probability of a false positive
3744,3744,What is the probability of a false positive pregnancy test
3745,3745,What is considered a false positive
3746,3746,Which technique is used to help reduce experimenter bias
3747,3747,How can research bias be avoided
3748,3748,How do you control the experimenter effect
3749,3749,How do you use continuity correction in statistics
3750,3750,How accurate is the normal method with the continuity correction
3751,3751,How do you calculate a Boxplot
3752,3752,How do you find the results of a box plot
3753,3753,How do box plots work
3754,3754,How accurate is the normal method with and without the continuity correction
3755,3755,What happens when we introduce more variables to a linear regression model Mcq
3756,3756,Can linear regression have multiple variables
3757,3757,What is multi head Turing machine
3758,3758,Does a universal Turing machine exists
3759,3759,What are the 2 types of prediction
3760,3760,What is data prediction
3761,3761,What is regression and prediction
3762,3762,What is training function in neural network
3763,3763,What is neural network processing
3764,3764,What is difference between training data and test data
3765,3765,Can I use same data for training and testing
3766,3766,Can decision trees be used for performing clustering True or false
3767,3767,Which of the following can be used for clustering data
3768,3768,Is Autoencoder deep neural network
3769,3769,What do you know about Autoencoders
3770,3770,What does AI mean in photography
3771,3771,What is the use of AI mode in camera
3772,3772,What is convergence in ML
3773,3773,What is convergence in reinforcement learning
3774,3774,How can a regression model be improved
3775,3775,What are the possible ways of improving the accuracy of a linear regression model
3776,3776,Which is an improved form of linear regression
3777,3777,What is deep learning learning
3778,3778,How does deep learning work
3779,3779,What does Canonical mean in statistics
3780,3780,What does false alarm mean
3781,3781,What is the false alarm rate
3782,3782,How do you find the probability of a false alarm
3783,3783,Why do we check normality of data
3784,3784,How do you perform multi label classification
3785,3785,What is multi label text classification
3786,3786,What is multi output classification
3787,3787,How do I report inter rater reliability
3788,3788,How is the kappa statistic calculated
3789,3789,How do you use Cohen's kappa
3790,3790,How do you interpret a general linear model
3791,3791,What is the GLM function in R
3792,3792,How do you know if a sample is unbiased
3793,3793,Is the sample range an unbiased estimator
3794,3794,Is a sample variance biased or unbiased
3795,3795,How does forward propagation work
3796,3796,Why do we use feedforward neural network
3797,3797,What is neural propagation
3798,3798,What is the meaning of quota sampling
3799,3799,Is random forest classification or regression
3800,3800,What is random forest Regressor
3801,3801,How does random forest Regressor work
3802,3802,What is random classifier
3803,3803,What does negative skewness mean
3804,3804,How do you interpret a negatively skewed distribution
3805,3805,What is the difference between Pearson correlation and Spearman correlation
3806,3806,Is Pearson correlation the same as correlation coefficient
3807,3807,What does the Pearson correlation coefficient mean
3808,3808,What is difference between RMS and true RMS
3809,3809,How do you create a frequency distribution
3810,3810,Why do we construct frequency distribution
3811,3811,What is a neuron in neural networks
3812,3812,What are logical fallacies name two types and explain what they are
3813,3813,What are the 12 logical fallacies
3814,3814,What does a principal component analysis tell you
3815,3815,What is principal component analysis PCA when it is used
3816,3816,What are the assumptions of OLS
3817,3817,What are the standard assumptions for applying the traditional OLS regression framework
3818,3818,What is the objective function of k means algorithm
3819,3819,What are the objectives of clustering
3820,3820,How do you measure performance of K means clustering
3821,3821,What are outliers How do you detect and treat them
3822,3822,How do you explain outliers in data
3823,3823,What are the methods we discussed to detect outliers in the data
3824,3824,What is the difference between t test and paired t test
3825,3825,What is the T in at test
3826,3826,What is descriptors in image processing
3827,3827,What are descriptors in machine learning
3828,3828,Can a regression line be nonlinear
3829,3829,What is a nonlinear regression model
3830,3830,Why is sentiment analysis useful
3831,3831,How are categorical variables used in machine learning
3832,3832,Can a normal distribution always be used to approximate a binomial distribution
3833,3833,Why can we approximate binomial with normal
3834,3834,How do you convert a normal distribution to a binomial distribution
3835,3835,How do you approximate probability using normal distribution
3836,3836,What is cross validation technique in data mining
3837,3837,What is N fold cross validation
3838,3838,What is necessary to determine the sample size
3839,3839,How do you determine sample size for a study
3840,3840,How do you interpret a path coefficient
3841,3841,What is path coefficient analysis
3842,3842,What is path analysis in research
3843,3843,Which is an example of feature extraction
3844,3844,What is feature extraction and feature selection
3845,3845,What are the different optimization techniques
3846,3846,Why do we need optimization techniques
3847,3847,What does regression toward the mean mean
3848,3848,What is regression to the mean bias
3849,3849,Why is it called regression
3850,3850,What are the statistical methods to analyze experimental information
3851,3851,What are the 3 basic principles of statistical design of experiments
3852,3852,What is post hoc in statistics
3853,3853,What is Laplace smoothing in naive Bayes
3854,3854,What is RNN and CNN
3855,3855,How do you Analyse data using chi square
3856,3856,What is the formula for calculating probability
3857,3857,What is probability and its formula
3858,3858,What is the equation for probabilistic
3859,3859,What is the problem with confirmation bias
3860,3860,What are the example of sampling technique
3861,3861,What is meant by power spectral density
3862,3862,How do you calculate power from power spectral density
3863,3863,What does negative correlation coefficient mean
3864,3864,Can a coefficient be negative
3865,3865,What does the coefficient in a regression tell you
3866,3866,How do you know if a regression coefficient is significant
3867,3867,What is feature in feature extraction
3868,3868,How is conditional probability used in real life
3869,3869,What is the difference between simple random sampling and convenience sampling
3870,3870,Is Multicollinearity a data problem
3871,3871,How do you deal with Multicollinearity machine learning
3872,3872,Why is Collinearity a problem
3873,3873,What is mean by filtering in computer
3874,3874,How do you apply mean filter
3875,3875,What is filtering in image processing
3876,3876,What is batch processing
3877,3877,What is batch processing with example
3878,3878,How does a histogram indicate a normal distribution
3879,3879,Is histogram same as normal distribution
3880,3880,How is a normal distribution related to probability distribution
3881,3881,Who introduced histogram as the probability distribution of a continuous variable
3882,3882,How do you handle class imbalance in deep learning
3883,3883,What is the objective of the AI data pipeline
3884,3884,What is model pipeline
3885,3885,How do you build a machine learning Pipeline
3886,3886,What is the function of the indicator in a titration
3887,3887,Is discrete variable quantitative
3888,3888,Is year a discrete or continuous variable
3889,3889,What is the formula for reliability
3890,3890,How do you measure reliability
3891,3891,Why is a stratified sample better than a random sample
3892,3892,Where is stratified sample preferred
3893,3893,Which sampling method is best and why
3894,3894,What are the 11 fallacies
3895,3895,How many types of fallacies are there
3896,3896,How is AI used in data science
3897,3897,Is data science needed for AI
3898,3898,Is quota sampling the same as stratified sampling
3899,3899,What is sequential data
3900,3900,What is sequential data in machine learning
3901,3901,How do you calculate coefficient of learning
3902,3902,What if the learning rate is too high
3903,3903,What is η in learning process
3904,3904,What is angular change detection
3905,3905,How do you decide which classifier to use
3906,3906,How can you choose a classifier based on training set size
3907,3907,What are the various methods used to determine the best classification model
3908,3908,How do you find the mean of a bivariate normal distribution
3909,3909,What is the meaning of bivariate distribution
3910,3910,What does it mean when a variable is normally distributed
3911,3911,What is a bivariate random variable
3912,3912,How Artificial Neural networks learn
3913,3913,Is artificial neural network and neural network same
3914,3914,Is AI and deep learning same
3915,3915,How do you measure semantic similarity between words
3916,3916,What is syntactic similarity
3917,3917,What are the two types of estimation
3918,3918,What is the purpose of estimating
3919,3919,What are the estimation methods
3920,3920,What is sampling with replacement and why is it used
3921,3921,What is sampling without replacement in statistics
3922,3922,What is the difference between sampling with and without replacement
3923,3923,What is called random error
3924,3924,What is Epsilon greedy
3925,3925,Does regression require explanatory and response variable
3926,3926,What is Exploratory Regression
3927,3927,Is Knn affected by feature scaling
3928,3928,What is algorithm and its uses
3929,3929,Which is predictive model
3930,3930,Is linear regression a predictive model
3931,3931,How do you make a Markov chain
3932,3932,How do you do a Markov analysis
3933,3933,What is Manhattan distance formula
3934,3934,What is TensorFlow and how does it work
3935,3935,How is TensorFlow built
3936,3936,What are the benefits of TensorFlow
3937,3937,What is the difference between a class object and an instance object
3938,3938,What is the difference between a class and an instance of a class
3939,3939,What is backpropagation algorithm in neural network
3940,3940,What do you mean by back propagation
3941,3941,What is the major difference between image classification and image segmentation
3942,3942,What is the purpose of image segmentation
3943,3943,What does an image segmentation model generate as an output
3944,3944,Which one is the regularization method for linear regression
3945,3945,Under which of the following conditions is it preferable to use a cluster sampling method rather than simple random sample
3946,3946,What is kernel in CNN
3947,3947,What is filter kernel
3948,3948,Why is logistic regression sensitive to outliers
3949,3949,Do outliers affect regression
3950,3950,How do you deal with outliers in regression
3951,3951,Which algorithms are sensitive to outliers
3952,3952,How does LDA reduce dimensionality
3953,3953,What is difference between PCA and LDA
3954,3954,What is greedy approach in algorithm
3955,3955,What is the difference between greedy and dynamic approach
3956,3956,How do you deal with concept drift
3957,3957,What is model drift in machine learning
3958,3958,What is feature drift
3959,3959,What is bias vs variance tradeoff
3960,3960,What is bias in regression
3961,3961,Why do convolutions occur
3962,3962,How do convolutions improve image recognition
3963,3963,What is the difference between inductive and deductive machine learning
3964,3964,What is deductive learning in machine learning
3965,3965,What is test strategy with example
3966,3966,What are the different test design techniques
3967,3967,Can Lasso be used for logistic regression
3968,3968,What is asynchronous update in neural network
3969,3969,How many hidden layers are there in a Hopfield network
3970,3970,How does FDR correction work
3971,3971,Is FDR the same as adjusted p value
3972,3972,What is LeakyReLU
3973,3973,What is the difference between ReLU and sigmoid activation function
3974,3974,Why do I have LeakyReLU
3975,3975,What is the difference between panel data and time series data
3976,3976,Do you think it is possible to combine time series and cross sectional data and analysis
3977,3977,How do you determine optimal batch size
3978,3978,What does a Gini coefficient of 0.4 mean
3979,3979,What is a good Gini index score
3980,3980,What is the purpose of logistic regression
3981,3981,What is the main purpose of logistic regression Do you know other regression that can provide similar estimates
3982,3982,What is logistic regression with example
3983,3983,What is the meaning of logistic regression
3984,3984,What is the process of dimensional analysis
3985,3985,How do you do a two step dimensional analysis
3986,3986,How do you calculate FFT frequency
3987,3987,How do you find the fundamental frequency of a signal using FFT
3988,3988,What is FFT frequency
3989,3989,What is decomposition model
3990,3990,Why is the multiplicative model the most commonly used in time series analysis
3991,3991,What is reinforcement learning explain with example
3992,3992,What is reinforcement learning in simple words
3993,3993,What happens if power factor increases
3994,3994,What is backward chaining in AI
3995,3995,How does the brain work as a neural network
3996,3996,Which type of problems can be solved by reinforcement learning
3997,3997,Can reinforcement learning be used for prediction
3998,3998,Where is data visualization used
3999,3999,What is the purpose of Visualisation
4000,4000,What are the benefits of Visualisation
4001,4001,What type of learning is Knn
4002,4002,What does it mean for two events to be independent give an example
4003,4003,What is an example of independent probability
4004,4004,How would you use independent and dependent events in real life
4005,4005,Is Adam optimizer good
4006,4006,Why does SGD generalize better than Adam
4007,4007,Does Adam Optimizer have momentum
4008,4008,What are different ways of measuring data similarity and dissimilarity in data mining
4009,4009,Is deep learning better than machine learning
4010,4010,Can I start deep learn without machine learning
4011,4011,What do moments in statistics tell us
4012,4012,What is the use of moments
4013,4013,What are moments of a distribution
4014,4014,Are neurons visible
4015,4015,Can we see neurons firing
4016,4016,Do Neurons pass information
4017,4017,Does PCA help random forest
4018,4018,What is confidence score in object detection
4019,4019,How do you evaluate an object detection model
4020,4020,What is AP50 in object detection
4021,4021,How do you create a data set for a neural network
4022,4022,How do you create a dataset
4023,4023,How do neural networks train data
4024,4024,What does signal detection theory mean
4025,4025,What is class interval example
4026,4026,What is class interval in frequency distribution
4027,4027,What is the relationship between arithmetic mean geometric mean and harmonic mean
4028,4028,How do you find the normalized z score
4029,4029,How do you normalize data using Z score
4030,4030,How do you Normalise a score
4031,4031,Why is z score normalized
4032,4032,What is backward elimination method
4033,4033,Is stepwise regression bad
4034,4034,What is an example of quantitative continuous data
4035,4035,Why is exponential distribution used
4036,4036,What are the characteristics of exponential distribution
4037,4037,What is exponential distribution in Simulation
4038,4038,Which TensorFlow function can you use to configure a categorical column if you don't know all of the possible values for that column
4039,4039,What is kernel in SVM
4040,4040,Why kernel trick is used in SVM
4041,4041,What does eigenvalue and eigenvector represent
4042,4042,What does eigen value mean
4043,4043,What is eigenvector in machine learning
4044,4044,What is eigen value analysis
4045,4045,What is the meaning of logarithm
4046,4046,What is log10 equal to
4047,4047,What does it mean to say that events occur randomly
4048,4048,What is cross entropy loss function
4049,4049,How CDF is derived from PDF
4050,4050,What is the derivative of a PDF
4051,4051,What is difference between data mining and data analytics
4052,4052,What is data mining and analysis
4053,4053,How data mining is used in data analysis
4054,4054,What is the difference between data and analysis
4055,4055,What are the specific ways anomalies are detected
4056,4056,What is an anomaly detection system
4057,4057,How do you implement anomaly detection
4058,4058,How do you find the sample mean from the population mean
4059,4059,Why is it important to distinguish between correlation and cause and effect quizlet
4060,4060,How do you distinguish between correlation and causation
4061,4061,Why is it a fallacy to confuse causation and correlation provide an example of a statement that confuses causation with correlation
4062,4062,What is the difference between correlation and causation examples
4063,4063,What does statistical model mean
4064,4064,Why are statistical models used
4065,4065,Why is Bayesian statistics important
4066,4066,What does Contravariant mean
4067,4067,What are the applications of Fourier transform
4068,4068,Why do we use Fourier transform in signal processing
4069,4069,What is the benefit of using Fourier transform
4070,4070,Is anomaly detection machine learning
4071,4071,Is outlier analysis supervised learning
4072,4072,What is gradient ML
4073,4073,What is meant by gradient descent in a neural network
4074,4074,What is gradient computer science
4075,4075,What is loss in epoch
4076,4076,What is the purpose of test retest reliability
4077,4077,How do you use test retest reliability
4078,4078,What is test retest effect
4079,4079,Why do we calculate average deviation
4080,4080,What is the average deviation from the mean
4081,4081,How mean deviation is calculated
4082,4082,How do you show independence in probability
4083,4083,Are A and B independent
4084,4084,What are the limitations of K means clustering
4085,4085,Do K means clustering
4086,4086,What is the maximum value of variance of binomial distribution
4087,4087,What is the maximum value of variance
4088,4088,What is the variance of a binomial distribution
4089,4089,How do you find the largest variance
4090,4090,What are the two main benefits of early stopping
4091,4091,What is overtraining in machine learning
4092,4092,What is SVM used for
4093,4093,What is support vector machines with example
4094,4094,What are boosting methods
4095,4095,How does boosting reduce bias
4096,4096,What is neural collaborative filtering
4097,4097,What is the difference between content filtering and collaborative filtering
4098,4098,Is SVD matrix factorization
4099,4099,What is OLS and MLE
4100,4100,How is AUC ROC score calculated
4101,4101,What does ROC AUC score mean
4102,4102,What is back propagation in neural network Mcq
4103,4103,How do you handle Multicollinearity in SPSS
4104,4104,What is the mean of a gamma distribution
4105,4105,What are advantages of probability sampling
4106,4106,What are the advantages and disadvantages of non probability sampling
4107,4107,What are the advantages and disadvantages of sampling
4108,4108,What are the advantages and disadvantages of systematic sampling
4109,4109,Why do we use tensors
4110,4110,What is a real world use of tensors
4111,4111,Why are tensors used in machine learning
4112,4112,What is the difference between a tensor and a matrix
4113,4113,How do you calculate fitness value
4114,4114,What is score model in machine learning
4115,4115,What is a good model score
4116,4116,What is hidden units in Lstm
4117,4117,What is cell in Lstm
4118,4118,What is output of Lstm
4119,4119,How do you analyze data from a scatter plot
4120,4120,What is the use of scatter plot in analysis
4121,4121,Which statement is true about using scatter plots to make predictions
4122,4122,What is the difference between hashing and tokenization
4123,4123,How do you use linear regression to predict data
4124,4124,How do you use the regression equation to make predictions
4125,4125,How is regression related to prediction
4126,4126,Can linear regression be used for forecasting
4127,4127,Where is the mean Located on a normal curve
4128,4128,Where is the mean on a bell curve
4129,4129,What is the value of mean in normal distribution
4130,4130,What are the features of back propagation algorithm
4131,4131,How is the training algorithm performed in back propagation neural networks
4132,4132,How do you analyze time series data in R
4133,4133,What is stationary data in time series
4134,4134,What is hindsight bias example
4135,4135,How does hindsight bias affect decision making
4136,4136,Why do we use hindsight bias
4137,4137,What does hindsight mean
4138,4138,When can you use divergence test
4139,4139,Why do series diverge
4140,4140,How do I optimize a Tensorflow model
4141,4141,What is autotune in Tensorflow
4142,4142,How do you find the critical region of a one tailed test
4143,4143,What is the rejection region for a two tailed test
4144,4144,How do I know if it is a one or two tailed test
4145,4145,How do you calculate W in SVM
4146,4146,Why is W orthogonal to the separating hyperplane
4147,4147,What is Hyper plane in SVM
4148,4148,What is model performance
4149,4149,What is SVM loss function
4150,4150,What is the loss function that linear SVM optimizes
4151,4151,What is the shape of the loss landscape during optimization of SVM
4152,4152,How do you start linear algebra
4153,4153,What is the 2 norm
4154,4154,How many classes are there in ImageNet
4155,4155,What are the classes in ImageNet
4156,4156,What is the size of ImageNet
4157,4157,Who created ImageNet
4158,4158,Is linear regression robust to outliers
4159,4159,Why would you use a regression
4160,4160,How do you determine the accuracy of a model
4161,4161,How do you test the accuracy of a logistic regression model
4162,4162,Why genetic algorithm is better than Hill climbing
4163,4163,What is Pretraining and fine tuning
4164,4164,Why is AI biased
4165,4165,What is algorithm bias in AI
4166,4166,What is meant by sampling method Class 11
4167,4167,What is meant by sample
4168,4168,Which matrix is used in hierarchical clustering
4169,4169,Which distance is used by K means clustering
4170,4170,How do you control for confounding variables in an experiment
4171,4171,What are confounding variables and why do we need to control them in an experiment
4172,4172,What is the difference between supervised and unsupervised learning in machine learning
4173,4173,When should we use unsupervised learning
4174,4174,How do you find the sample size of a normal distribution
4175,4175,How do you find the sampling distribution of the mean
4176,4176,How do you boost someone up
4177,4177,Is boosting illegal
4178,4178,Is cross validation used to select Hyperparameters
4179,4179,How does neural network training work
4180,4180,How does a simple neural network work
4181,4181,How do you collect cross sectional data
4182,4182,What happens when the learning rate is large vs small
4183,4183,What is the disadvantage of big learning rate
4184,4184,How does learning rate affect accuracy
4185,4185,Can learning rate be negative
4186,4186,Can you integrate a matrix
4187,4187,Can you take the derivative of a vector
4188,4188,What happens when you take the derivative
4189,4189,What is the difference between artificial intelligence and machine learning
4190,4190,What is the difference between ML and DL and AI
4191,4191,What is the law of large numbers in probability
4192,4192,What is the theory of large numbers
4193,4193,How do I see hidden layers in neural network
4194,4194,What is hidden layers in deep learning
4195,4195,How many hidden layers does CNN have
4196,4196,Is output layer a hidden layer
4197,4197,What are the properties of method of maximum likelihood estimator
4198,4198,How do you show a vector space
4199,4199,What does a vector space look like
4200,4200,How do you balance a dataset imbalance
4201,4201,What is considered imbalanced dataset
4202,4202,How can neural network output be updated
4203,4203,How does machine learning get data
4204,4204,How do they collect data
4205,4205,How does artificial intelligence collect data
4206,4206,What is data and how is it collected
4207,4207,What is Design of Experiments in statistics
4208,4208,What is statistical design
4209,4209,What is statistical experiment
4210,4210,How do you know the accuracy of a model
4211,4211,How will you measure the performance of machine learning model
4212,4212,What is data drift in machine learning
4213,4213,What is drift problem
4214,4214,What is model drift
4215,4215,Why multiple linear regression is used
4216,4216,What are some applications of multiple regression models
4217,4217,Is multiple regression better than simple regression
4218,4218,Is this distribution unimodal or bimodal
4219,4219,What does multimodal distribution mean
4220,4220,When should a mixed factorial Anova be used
4221,4221,What is a main effect in factorial Anova
4222,4222,When should a parametric test be used
4223,4223,How do you find the Z test statistic for a hypothesis test
4224,4224,How do you calculate z test
4225,4225,How do you read a Z table for hypothesis testing
4226,4226,How do you find Z critical in hypothesis testing
4227,4227,How do you find marginal PDF
4228,4228,What is the marginal distribution of X
4229,4229,What is the XOR operator
4230,4230,What is neural network theory
4231,4231,How do you know if something is normally distributed
4232,4232,What makes a sample distribution normal
4233,4233,What are the two types of activation
4234,4234,What is signal processing used for
4235,4235,What are the different types of signals
4236,4236,What is Gaussian kernel function
4237,4237,What is meant by quantile
4238,4238,What is a quantile describe how a quantile and quartile are related
4239,4239,What is the difference between percentile and quantile
4240,4240,How are Quantiles calculated
4241,4241,How do you deploy artificial intelligence
4242,4242,What is deployment in AI
4243,4243,What is sample and sampling frame
4244,4244,What is the difference between sampling unit and sampling frame
4245,4245,What is meant by activation function in neural network
4246,4246,Why is the denominator in the standard deviation formula equal to N 1 instead of N
4247,4247,Is standard deviation over N or N 1
4248,4248,What is random sampling and its types
4249,4249,How many types of random sampling are there
4250,4250,What is time series analysis and how it is used
4251,4251,How do you do time series analysis
4252,4252,Which method is used for time series data
4253,4253,What is Time Series Analysis in accounting
4254,4254,Why do we need scalable machine learning
4255,4255,How do you make a scalable machine learning system
4256,4256,What is scale in machine learning
4257,4257,Can you run correlations with categorical variables
4258,4258,Does dual boot affect performance
4259,4259,What type of machine learning algorithm is suitable for predicting the continuous dependent variable
4260,4260,Which algorithm is most widely used in machine learning
4261,4261,What is continuous data in machine learning
4262,4262,Which regression algorithm predicts continuous values
4263,4263,What is meant by backtracking algorithm
4264,4264,Is backtracking a greedy algorithm
4265,4265,What is the benefit of convolutional neural network
4266,4266,What are the reasons for using feature scaling
4267,4267,What is ML prediction
4268,4268,How do predictions work
4269,4269,Is the estimator unbiased
4270,4270,What is strides in convolution
4271,4271,How do you determine the number of nodes in a hidden layer
4272,4272,How many hidden nodes are there
4273,4273,How many neurons does a hidden layer have
4274,4274,What is continuous class interval
4275,4275,What is the difference between class interval and class size in statistics
4276,4276,How do you know if a hypothesis is two tailed
4277,4277,What are the two hypotheses used in hypothesis testing
4278,4278,How do you convert unstructured data to structured data
4279,4279,Can we convert unstructured data into structured data
4280,4280,What is the probability density function of a normal distribution
4281,4281,What is the probability density function
4282,4282,How do you find the distribution function from a probability density function
4283,4283,What is hyper parameter in machine learning
4284,4284,How will you differentiate between parameters and hyper parameters give examples
4285,4285,What is a tensor image
4286,4286,What does tensor mean in TensorFlow
4287,4287,What are tensors in machine learning
4288,4288,What do you expect will happen with bias and variance as you increase the size of training data
4289,4289,What is the difference between relative frequency and probability
4290,4290,Why is naive Bayes better
4291,4291,What are the disadvantages of naive Bayes
4292,4292,What is a moment in stats
4293,4293,How do you calculate raw moments
4294,4294,How do you graph a cumulative frequency distribution
4295,4295,What graph represents a frequency distribution
4296,4296,How do you read a cumulative frequency graph
4297,4297,Is GLM logistic regression
4298,4298,What is the GLM
4299,4299,Is a general linear model an Anova
4300,4300,What is probability sampling techniques in research
4301,4301,What are the types of probability sampling techniques
4302,4302,What is a sampling technique
4303,4303,What is decision tree regression why is it used for
4304,4304,What objective function do regression trees minimize
4305,4305,Who would you describe as an outlier
4306,4306,Why would a person be considered an outlier
4307,4307,What does a Gaussian blur do
4308,4308,How is Gaussian blur calculated
4309,4309,Can Gaussian blur be undone
4310,4310,How do you find the marginal distribution
4311,4311,What is marginal distribution example
4312,4312,What does conditional distribution mean
4313,4313,What is the difference between training and validation
4314,4314,What is multi view learning
4315,4315,What is sigmoid activation function
4316,4316,How do you combine different machine learning models
4317,4317,How do you Ensemble two models
4318,4318,How do you compare two ML models
4319,4319,How do you combine two classifiers in Python
4320,4320,How do you solve maximum likelihood estimation
4321,4321,What does maximum likelihood estimate mean
4322,4322,What is deep learning and neural network
4323,4323,What is considered a deep neural network
4324,4324,Is Ann machine learning or deep learning
4325,4325,How do you determine an outlier
4326,4326,Is multiple regression A linear regression
4327,4327,What does multiple regression tell you
4328,4328,Which model is best for regression
4329,4329,What type of algorithm is linear regression
4330,4330,Is Knn used for regression
4331,4331,How does learning rate affects neural network
4332,4332,What does the learning rate do
4333,4333,Is NLP machine learning or AI
4334,4334,Is NLP an algorithm
4335,4335,Why would one use the t distribution over the normal
4336,4336,Does t test require normal distribution
4337,4337,Do t distributions have less spread than the normal distribution
4338,4338,What does convolutional neural network do
4339,4339,What does convolutional mean
4340,4340,Why it is called convolutional neural network
4341,4341,What is convolution in deep learning
4342,4342,Is equilibrium maximum entropy
4343,4343,Why is entropy measured in J K
4344,4344,What does it mean to prune a decision tree
4345,4345,What is N gram model in NLP
4346,4346,How do you handle n gram unknown words
4347,4347,How do you define a hyperplane
4348,4348,How do you select Hyperplane in SVM
4349,4349,What is W and B in SVM
4350,4350,How can you make a prediction given a set of data
4351,4351,How do you predict test data
4352,4352,Why is omitted variable bias a problem
4353,4353,What are the consequences of having an omitted variable
4354,4354,How do you know if omitted variable bias
4355,4355,What is a topic in topic modeling
4356,4356,How many topic modeling techniques do you know of
4357,4357,What is shrinkage coefficient
4358,4358,Is model complexity reduced because of the coefficient shrinkage
4359,4359,What is embedding neural network
4360,4360,What is mean by random experiment
4361,4361,What does random mean in probability
4362,4362,How are CNN parameters calculated
4363,4363,What is parameter in deep learning
4364,4364,What are the methods of simple random sampling
4365,4365,What is the difference between factor analysis and PCA
4366,4366,Should I use PCA or factor analysis
4367,4367,What is factor analysis
4368,4368,What does subsampling mean
4369,4369,Which neural network is best for binary classification
4370,4370,What is difference between resolution and accuracy
4371,4371,What is model optimization in machine learning
4372,4372,What is the difference between independent and dependent events give an example
4373,4373,What do you mean by perceptual map
4374,4374,Is text analytics part of NLP
4375,4375,Which language can be used to perform text analytics
4376,4376,What is text data processing
4377,4377,How do you analyze text data
4378,4378,What are weights in neural network
4379,4379,What are model weights used for
4380,4380,What is difference between supervised and unsupervised learning with examples
4381,4381,What is supervised learning in neural networks
4382,4382,How do you create a factorial design
4383,4383,What is 2x2x2 factorial design
4384,4384,How do you reduce the regression to the mean
4385,4385,Why does regression toward the mean happen
4386,4386,Is a 76 good on the Asvab
4387,4387,Is a 77 A good Asvab score
4388,4388,Is 75 a good Asvab score
4389,4389,Is 80 on Asvab good
4390,4390,What is the difference between Poisson and normal distribution
4391,4391,How do you know when to use Poisson distribution
4392,4392,Can you find correlation between categorical variables
4393,4393,Which command can be used to find the correlation between continuous continuous variables
4394,4394,How would you compare ReLU and logistic sigmoid activation function
4395,4395,What is second rank tensor
4396,4396,What is meant by rank of a tensor
4397,4397,Is a matrix a rank 2 tensor
4398,4398,Can the sample mean and population mean be the same
4399,4399,Do the sample means target the value of the population mean
4400,4400,Does the sample size have an effect on the mean of all possible sample means explain
4401,4401,Is Data Analytics Big Data
4402,4402,How do I know if data follows Poisson distribution
4403,4403,How do you know if its binomial or Poisson
4404,4404,What is the rejection region method
4405,4405,What are nonparametric tests used for
4406,4406,What are parametric and non parametric tests
4407,4407,What are the advantages of using decision tree
4408,4408,What is a hidden layer
4409,4409,Why are they called hidden layers
4410,4410,What is hidden size in RNN
4411,4411,What is hidden unit
4412,4412,How do you calculate the Z statistic
4413,4413,What is the function of Z test statistics
4414,4414,What is the Z score function in Excel
4415,4415,How do you solve for z test
4416,4416,What is real time data processing
4417,4417,What is an example of real time processing
4418,4418,What is real processing
4419,4419,How do you stop Overfitting in neural networks
4420,4420,How does neural network determine Overfitting
4421,4421,What is the use of MLP
4422,4422,What are the two paradigms of ensemble methods
4423,4423,How do you find the correlation between two variables in statistics
4424,4424,What statistical test is used for correlation
4425,4425,What correlation coefficient is required if one of the variables is dichotomous
4426,4426,What is FDR adjusted p value
4427,4427,How do you interpret the adjusted p value
4428,4428,Is moment of inertia a tensor
4429,4429,What are tensor quantities
4430,4430,Is moment a scalar or vector quantity
4431,4431,How can I understand concepts while studying
4432,4432,How do you memorize concepts
4433,4433,What is the meaning of learning concept
4434,4434,What are active learning activities
4435,4435,How do you use active learning
4436,4436,What can active learners do
4437,4437,How is machine learning used in automation
4438,4438,Is AI the same as automation
4439,4439,What is frequency distribution definition
4440,4440,What is frequency distribution give example
4441,4441,What does a correlation of 0.3 mean
4442,4442,Is .3 a weak correlation
4443,4443,What is considered highly correlated
4444,4444,What does Correlation does not imply causation mean
4445,4445,What is the meaning of the phrase Correlation does not imply causation quizlet
4446,4446,What is one of the reasons that correlations do not indicate causation quizlet
4447,4447,Does correlation mean causation Why or why not
4448,4448,Why do we use Fourier transform
4449,4449,What can you do with Fourier transform
4450,4450,What is the use of Fourier analysis
4451,4451,How do you find the mean of a Poisson distribution
4452,4452,What is the mean and variance of Poisson distribution
4453,4453,What is the mean of a probability distribution
4454,4454,What is the mean of binomial distribution
4455,4455,What is gradient in linear regression
4456,4456,What are learning features
4457,4457,What is a feature in a neural network
4458,4458,How did the sample size affect the accuracy of the sample means
4459,4459,What happens when sample size increases
4460,4460,What impact does precision confidence level have on required sample size
4461,4461,How does sample size affect average
4462,4462,What is a filter in convolutional neural network
4463,4463,How do you interpret precision
4464,4464,How do I make a predictive analytics model
4465,4465,What data is needed to conduct predictive analytics
4466,4466,What is decision making in statistics
4467,4467,How do statistical skills enable decision making
4468,4468,What is an example of the use of statistics to make predictions and decisions in our daily lives
4469,4469,Which of the following is swarm intelligence techniques
4470,4470,How does a vision sensor work
4471,4471,What are the functions of machine vision system
4472,4472,How do you find the Y intercept in a regression equation
4473,4473,What is the Y intercept in regression analysis
4474,4474,What does the Y intercept indicate
4475,4475,How does machine learning find patterns in data
4476,4476,What are the different types of machine learning algorithms
4477,4477,What are the types of pattern recognition
4478,4478,What is the distribution of a variable
4479,4479,What is distribution of data definition
4480,4480,How do you interpret a correlation matrix
4481,4481,What is attention in NLP
4482,4482,How do you find the slope of a regression line
4483,4483,How do you find the slope and y intercept of a regression line in R
4484,4484,How do you find slope in R
4485,4485,What is meant by a conditional distribution
4486,4486,What is a marginal and conditional distribution
4487,4487,What is the marginal distribution of a two way table
4488,4488,What is marginal distribution AP stats
4489,4489,How do you know if a regression model is good
4490,4490,How do you choose the best linear regression model
4491,4491,Why linear regression is best
4492,4492,What is an activation value
4493,4493,In what ways can output be determined from activation value *
4494,4494,What is activation value in artificial neuron
4495,4495,How does ridge regression reduce Multicollinearity
4496,4496,Does ridge regression increase bias
4497,4497,How do residual networks work
4498,4498,What is the difference between variance and coefficient of variation
4499,4499,How is SD and CV calculated
4500,4500,How do you choose lambda in ridge regression
4501,4501,What is not a measure of central tendency
4502,4502,Is mean absolute deviation a measure of central tendency
4503,4503,Who Discovered signal detection
4504,4504,What is the signal detection process
4505,4505,What is an example of signal detection
4506,4506,What is the difference between a discrete distribution and a continuous distribution
4507,4507,What are discrete and continuous uniform distributions
4508,4508,What is the difference between normal distribution and uniform distribution
4509,4509,What are the main differences between discrete and continuous random variables
4510,4510,What are the different types of planning in AI
4511,4511,What is the difference between control variable and moderating variable
4512,4512,How do you test for moderation
4513,4513,How do you determine the validity of a statistical conclusion
4514,4514,How do you determine validity in statistics
4515,4515,What does valid mean in statistics
4516,4516,What are the desirable properties of good estimators
4517,4517,Why do we need estimators
4518,4518,What is the dimension of a tensor
4519,4519,How do you print a tensor
4520,4520,What do eigenvalues and eigenvectors tell us
4521,4521,What is Eigen value and eigen function
4522,4522,What is risk in statistics
4523,4523,How do you calculate risk increase in statistics
4524,4524,What is the S curve
4525,4525,Who invented S curve
4526,4526,How do you account for the S shape of the diffusion curve
4527,4527,How do you interpret left skewed data
4528,4528,What does a left skewed histogram mean
4529,4529,What does interaction effect tell us
4530,4530,What does a positive interaction effect mean
4531,4531,What is axiomatic probability
4532,4532,Which of these is an example of the law of large numbers
4533,4533,What are the two types of neural networks
4534,4534,What are Bayesian belief nets where are they used
4535,4535,What is the relation between T and F
4536,4536,What does T distribution mean
4537,4537,What is the mean of F distribution
4538,4538,How do you do an accurate assessment
4539,4539,What is accuracy in image processing
4540,4540,How do you define a logarithmic function
4541,4541,What is logarithmic function example
4542,4542,What is the difference between exponential and logarithmic
4543,4543,What is multinomial probability distribution
4544,4544,What is multinomial experiment
4545,4545,What is the example of multinomial
4546,4546,What is the formula of distribution
4547,4547,Is Arima model machine learning
4548,4548,How would you describe Arima model
4549,4549,What is the purpose of dimensional analysis
4550,4550,What is the null hypothesis of breusch Pagan test
4551,4551,How does Heteroskedasticity affect hypothesis testing
4552,4552,What is meant by CNN
4553,4553,Why CNN is used
4554,4554,What is NLP and its uses
4555,4555,Where is NLP used
4556,4556,Why power factor correction is required
4557,4557,What linear regression tells us
4558,4558,Why are linear models useful
4559,4559,What is the importance of P value in statistics
4560,4560,What statistical test uses p value
4561,4561,What is a significance test in statistics
4562,4562,What does significant difference mean in statistics
4563,4563,What is the difference between AR and MA
4564,4564,What is the difference between ARMA and Arima models
4565,4565,How do Lstm models work
4566,4566,What is Lstm model
4567,4567,How do you divide dataset into training and test set
4568,4568,How do you divide dataset into training and test set in R
4569,4569,What is bias vs variance
4570,4570,What does high bias mean
4571,4571,Which of the following is an example of regression to the mean
4572,4572,What does regression to the mean
4573,4573,How do you know when to use normal approximation
4574,4574,What is a normal approximation to the binomial distribution
4575,4575,Is multivariate analysis better than univariate
4576,4576,What are the advantages of randomization
4577,4577,What is the benefit of randomization quizlet
4578,4578,What attribute defines a marginal probability calculation
4579,4579,Should I use standard deviation or standard error for error bars
4580,4580,What is recurrent neural network in deep learning
4581,4581,How do you solve for a vanishing gradient
4582,4582,What causes vanishing gradient
4583,4583,What does N mean in population
4584,4584,What is N in variance formula
4585,4585,What is N in statistics
4586,4586,Why is variance n 1
4587,4587,Why Multicollinearity is a problem in linear regression
4588,4588,Why is Multicollinearity a potential problem in a multiple linear regression quizlet
4589,4589,How many quantization levels are there
4590,4590,What do you mean by quantization
4591,4591,Which of the following is an example of availability bias
4592,4592,What is the meaning of availability bias
4593,4593,How do you stop availability bias
4594,4594,What is the availability heuristic and why is it a source of bias
4595,4595,What is estimate and estimator in statistics
4596,4596,What is the difference between an estimator and an estimate explain your answer fully
4597,4597,What is the difference between an estimator and an estimate quizlet
4598,4598,Will AI take over human intelligence
4599,4599,Can AI be a threat to human intelligence
4600,4600,Can AI be more intelligent than humans
4601,4601,What is difference between sampling and quantization
4602,4602,What is quantization
4603,4603,What is sampling of an image
4604,4604,What is quantization of an image
4605,4605,How can we find the optimum K in K nearest neighbor
4606,4606,What is K distance
4607,4607,What is true positive and false positive
4608,4608,What does true positive rate mean
4609,4609,What is quantile in statistics example
4610,4610,What is sample quantile
4611,4611,What is a quintile in statistics
4612,4612,Why does the normal curve exist in nature
4613,4613,When there is a normal distribution
4614,4614,Is K fold cross validation
4615,4615,How is K fold cross validation different from stratified k fold cross validation
4616,4616,How do you select K in K fold cross validation
4617,4617,What is the work of cluster
4618,4618,What is cluster computing example
4619,4619,How do you test a dataset
4620,4620,What is the purpose of clustering
4621,4621,What is event clustering
4622,4622,What is spatial clustering
4623,4623,What is the difference between time series analysis and cross sectional analysis
4624,4624,What is cross time analysis
4625,4625,What is trend in time series analysis
4626,4626,Why is Monty Hall problem wrong
4627,4627,What is sensitivity analysis and what is its purpose
4628,4628,What is a sensitivity analysis example
4629,4629,How do you perform a sensitivity analysis
4630,4630,What is sensitivity analysis engineering
4631,4631,What does S curve mean
4632,4632,What does a shift of the S curve mean
4633,4633,Which is a discrete variable
4634,4634,What is true negative in confusion matrix
4635,4635,What is an example of a false negative
4636,4636,What does the correlation coefficient tell you
4637,4637,What is the purpose of the backpropagation algorithm
4638,4638,When did AI surpass human intelligence
4639,4639,How smart is AI right now
4640,4640,How long before AI takes over the world
4641,4641,What is the adjusted coefficient of determination used for
4642,4642,What is difference between R Squared and adjusted R squared
4643,4643,What is needed for predictive analytics
4644,4644,What type of correlation is used to assess the relationship between two ordinal variables
4645,4645,Should I use Pearson or Spearman correlation
4646,4646,How do you determine if there is a relationship between two variables
4647,4647,What is the difference between semantic net and frame
4648,4648,How do you calculate degrees of freedom for an independent t test
4649,4649,What is Likert scale data analysis
4650,4650,What are the types of statistical tests
4651,4651,What is at test in statistics
4652,4652,Is at value a test statistic
4653,4653,What is the difference between at Test and Az test in statistics
4654,4654,How do you find the Z test statistic on a TI 84
4655,4655,What is the difference in bias and variance in random forest
4656,4656,What is variance in a model
4657,4657,What is causal machine learning
4658,4658,What is inference in machine learning
4659,4659,How can you prevent bias in convenience sampling
4660,4660,How do you avoid random sampling errors
4661,4661,How do you measure active learning
4662,4662,What are the elements of active learning
4663,4663,What is the meaning of IID
4664,4664,How do you convert odds ratio to effect size
4665,4665,What is the odds ratio in statistics
4666,4666,What is the difference between Cohen's d and effect size
4667,4667,What does Cohen's d mean in statistics
4668,4668,What is an example of partition
4669,4669,What is partition of a sample space
4670,4670,What partition means
4671,4671,When two events are disjoint they are also independent
4672,4672,Can two events be independent and mutually exclusive
4673,4673,What causes a false positive pregnancy test
4674,4674,What does it mean to calibrate data
4675,4675,What is word tokenization
4676,4676,Why is tokenization important NLP
4677,4677,Is sarsa better than expected sarsa
4678,4678,What does sarsa in reinforcement learning mean
4679,4679,How can you improve the accuracy of a multiple regression model
4680,4680,How can linear models be improved
4681,4681,How do you improve regression predictions
4682,4682,What is interpolation in NLP
4683,4683,What can machine learning predict
4684,4684,Can machine learning predict the future
4685,4685,Is machine learning related to predictive analytics
4686,4686,How accurate is machine learning
4687,4687,What does R Squared mean in regression
4688,4688,What is a good R2 value for linear regression
4689,4689,How can descriptive and inferential statistics be used together
4690,4690,Can descriptive statistics be used for inferential statistics
4691,4691,Can decision trees handle categorical data
4692,4692,Does SVM work with categorical data
4693,4693,What is the purpose of regression analysis
4694,4694,Is conditional probability Independent
4695,4695,Is conditional probability mutually exclusive
4696,4696,Is SVM linear or nonlinear
4697,4697,Can SVM solve linear and nonlinear problems
4698,4698,What is nonlinear classification
4699,4699,What is Biases in machine learning
4700,4700,What is bias node in neural network
4701,4701,What is exploratory data analysis
4702,4702,What does EDA mean in data science
4703,4703,What are the disadvantages of face recognition
4704,4704,What are the steps involved in face detection
4705,4705,What are the characteristics of a normal curve
4706,4706,What are the three characteristics of the normal curve
4707,4707,Which of the following are characteristics of the normal distribution
4708,4708,How do you avoid Underfitting in deep learning
4709,4709,How do I fix Overfitting in neural network
4710,4710,What does OLS mean in statistics
4711,4711,What does exponential distribution mean
4712,4712,How do you show that a distribution is exponential
4713,4713,What is negative exponential distribution
4714,4714,How do you impute missing data
4715,4715,How does K fold work
4716,4716,What is Group K fold
4717,4717,What is Cross_val_score
4718,4718,How K fold cross validation is implemented
4719,4719,What makes a distribution normal
4720,4720,How do you know if sampling distribution is normal
4721,4721,What is a multivariate analysis technique
4722,4722,What is symbolic learning in AI
4723,4723,What is the meaning of symbolic reasoning
4724,4724,When an independent variable is exogenous
4725,4725,What is exogenous variable
4726,4726,Is endogenous variable dependent variable
4727,4727,How do you construct a frequency distribution from a class interval
4728,4728,What is negative binomial regression model
4729,4729,How do you do a Poisson regression in SPSS
4730,4730,What is negative binomial regression used for
4731,4731,How do you make the histogram for a probability distribution
4732,4732,How do you describe the distribution of a histogram
4733,4733,What does a probability distribution show
4734,4734,What is a probability distribution graph
4735,4735,What is neuronal activation
4736,4736,What are hidden layers
4737,4737,What is hidden state in RNN
4738,4738,How many hidden layers are there in RNN
4739,4739,What is an input variable
4740,4740,How do you find the input value of a function
4741,4741,Why do we take log of probabilities
4742,4742,Why is log used in machine learning
4743,4743,What is D prime in signal detection theory
4744,4744,What is pseudo Randomised controlled trial
4745,4745,How do you check serial correlation in eviews
4746,4746,How does Econometrics detect autocorrelation
4747,4747,What is standard error of estimate in statistics
4748,4748,How do you calculate standard error of estimate in regression
4749,4749,How do you do standard error
4750,4750,Is JSON structured or semi structured
4751,4751,What are structured and unstructured data
4752,4752,What is an absorbing stochastic matrix
4753,4753,Is an absorbing state recurrent
4754,4754,What is the importance of sample and sampling in statistics
4755,4755,What does distance measure
4756,4756,What is standard deviation used for
4757,4757,What is the standard deviation example
4758,4758,What is standard deviation used to measure
4759,4759,What is the function of kernel
4760,4760,What is a kernel function describe with examples
4761,4761,What is a kernel function in SVM
4762,4762,What is hypothesis space and inductive bias
4763,4763,What is bias in deep learning
4764,4764,What is mixture discriminant analysis
4765,4765,How many methods are there in discriminant analysis
4766,4766,How is discriminant analysis different from multiple regression
4767,4767,How are eigenvalues used in factor analysis
4768,4768,How do you name factors in factor analysis
4769,4769,How do you find the number of factors in factor analysis in R
4770,4770,How is correlation matrix calculated
4771,4771,How do you interpret correlation matrix results
4772,4772,How is correlation ratio calculated
4773,4773,Can you have too many dummy variables
4774,4774,Can dummy variables be negative
4775,4775,How do you tell if a hypothesis is left tailed
4776,4776,How do you know if test is right tailed or left tailed
4777,4777,What makes a hypothesis test two tailed
4778,4778,What is data science in short
4779,4779,What is data science answer
4780,4780,Is range a measure of center or a measure of variation
4781,4781,Is range a measure of variation
4782,4782,How is precision recall classification calculated
4783,4783,Why is cross entropy used
4784,4784,Why use cross entropy instead of MSE
4785,4785,How do you find the mean median and interquartile range
4786,4786,What is the least squares method and how is it used to find the estimated regression equation
4787,4787,What are the properties of least square regression line
4788,4788,How do you know when to accept or reject the null hypothesis
4789,4789,Does rejecting the null hypothesis means accepting the alternative hypothesis
4790,4790,What are some of the methods for cluster analysis
4791,4791,Which can be used for clustering of data
4792,4792,What is Cluster data analysis
4793,4793,What is vanishing gradient problem in deep learning
4794,4794,Which two metrics are commonly used to evaluate classification models
4795,4795,Which matrices can be used to show the results of model accuracy evaluation or the model's ability to correctly predict or separate the classes
4796,4796,Why is my R Squared so low
4797,4797,What does R Squared indicate in regression analysis
4798,4798,What is machine learning concept
4799,4799,What are the basic concepts of machine learning
4800,4800,Why do we use logit function
4801,4801,Why do we use log in logistic regression
4802,4802,Why we use logistic regression in machine learning
4803,4803,How measures of central tendency and measures of dispersion are related
4804,4804,Why is measures of dispersion important in statistics
4805,4805,What does it mean for two events to be statistically independent
4806,4806,How many data points do you need for machine learning
4807,4807,Does machine learning require big data
4808,4808,How much data is enough for deep learning
4809,4809,What is a probability density function in statistics
4810,4810,What is probability and probability density
4811,4811,What are layers in deep learning
4812,4812,How many types of deep learning are there
4813,4813,What is random experiment with an example
4814,4814,What does it mean random
4815,4815,Is Computer Vision deep learning
4816,4816,What is the difference between computer vision and machine learning
4817,4817,What is computer vision example
4818,4818,What is the difference between FIR and IIR filters
4819,4819,Who invented hidden Markov model
4820,4820,How do you find the sample size when given the margin of error
4821,4821,How do you find the sample size with the margin of error and standard deviation calculator
4822,4822,What does ingroup bias mean
4823,4823,Can I use Anova for ordinal data
4824,4824,How do you analyze ordinal variables
4825,4825,Why do we need learning rate
4826,4826,How do you choose learning rate
4827,4827,What is the effect of learning rate on prediction
4828,4828,How do you classify unlabeled data
4829,4829,What is label data and unlabeled data
4830,4830,How many GPUs do you need for deep learning
4831,4831,Do you need a GPU for deep learning
4832,4832,What GPU should I get for deep learning
4833,4833,Is logistic regression a GLM
4834,4834,How does R calculate autocorrelation
4835,4835,What is autocorrelation with example
4836,4836,What are dimensions and measures in data warehouse
4837,4837,How many dimensions are there
4838,4838,What is embedding Tensorflow
4839,4839,What are the sampling units
4840,4840,What is individual sampling
4841,4841,What are primary sampling units
4842,4842,What are the main issues of hidden Markov model
4843,4843,How can I train my brain to make better decisions
4844,4844,What is meant by linear and nonlinear
4845,4845,Is the association linear or nonlinear
4846,4846,What does a non linear relationship mean
4847,4847,Is non response a bias
4848,4848,What type of bias is response bias
4849,4849,What is non response bias in research
4850,4850,What is the function of a probability distribution
4851,4851,What does the mean of a probability distribution tell us
4852,4852,What can you determine from a box plot
4853,4853,What is an example of response bias
4854,4854,What is the difference between undercoverage and nonresponse bias
4855,4855,What is PDF of random variable
4856,4856,How do you solve a combination in statistics
4857,4857,What type of data is used for multiple regression
4858,4858,What type of data is required for regression analysis
4859,4859,How do you perform multiple linear regression
4860,4860,What is considered good test retest reliability
4861,4861,What is the partitioning method
4862,4862,What is partitioning in data warehouse
4863,4863,What is partitioning in big data
4864,4864,Why do we say the least squares line is the best fitting line for the data set
4865,4865,What is statistical AI
4866,4866,How is statistics used in AI
4867,4867,Is a factor a variable
4868,4868,Are factors independent variables
4869,4869,What does factor mean in statistics
4870,4870,What are the probabilities of each outcome in the sample space
4871,4871,How do you find the probability of a sample space
4872,4872,What can be a probability outcome
4873,4873,What is the definition of multinomial
4874,4874,What is image classification used for
4875,4875,How do you classify an image with TensorFlow
4876,4876,What are the limitations of Anova
4877,4877,What are the limitations of Anova in SPSS
4878,4878,What is the difference between arithmetic coding and Huffman coding
4879,4879,What are the advantages of Huffman coding
4880,4880,What is the difference between one tailed and two tailed test
4881,4881,How do you tell if a test is two tailed left tailed or right tailed
4882,4882,What is the principle of least square method
4883,4883,What are the properties of the least squares line
4884,4884,What is a criticism of IQ tests
4885,4885,What is a control variable in a regression analysis
4886,4886,How do you identify a controlled variable
4887,4887,What variables do you need to control
4888,4888,What is parameter in neural network
4889,4889,What is classification and its types
4890,4890,How do you find the parameter of a Poisson distribution
4891,4891,What are the characteristics of Poisson distribution
4892,4892,What does Poisson distribution measure
4893,4893,What is precision in sampling
4894,4894,What is an example of a positive feedback loop
4895,4895,Is a fever An example of positive feedback
4896,4896,What is Mathematics and Statistics all about
4897,4897,Can naive Bayes be used for continuous variables
4898,4898,Which naive Bayes model will you use for data set containing continuous feature values
4899,4899,How is regression measured
4900,4900,What does regression analysis measure
4901,4901,What metric is used to measure the fit of regression line
4902,4902,How do you do a robustness check
4903,4903,How do you check the accuracy of a model
4904,4904,How does a naive Bayes classifier work
4905,4905,How does Bayesian classifier work in data mining
4906,4906,How do you solve multi objective optimization problems in Matlab
4907,4907,Can decision trees use categorical data
4908,4908,Is Gan supervised learning
4909,4909,Is neural networks reinforcement learning
4910,4910,Why do we use correction factor
4911,4911,What is the probability that a continuous random variable is equal to an exact value
4912,4912,Why is the probability zero for any given value of a normal distribution
4913,4913,What is Timestep in Lstm
4914,4914,Which data type is used to teach a machine learning ml
4915,4915,Does machine learning need big data
4916,4916,Which type of data is used to teach a machine learning algorithm during structured learning
4917,4917,How does TensorFlow serving work
4918,4918,What is the difference between any normal distribution and the standard normal distribution
4919,4919,What is the difference between normal distribution and standard deviation
4920,4920,What is the difference between a normal distribution and a uniform distribution
4921,4921,Why is it correct to say a normal distribution and the standard normal distribution
4922,4922,Should I use stepwise regression
4923,4923,What is the difference between enter and stepwise regression
4924,4924,How do you find the association rules from frequent itemsets
4925,4925,Why do we calculate standard error
4926,4926,What is the formula for the standard error of the sample mean
4927,4927,What is the difference between data mining and machine learning are they the same
4928,4928,What is the difference between data mining and data science
4929,4929,Is data mining and data science related
4930,4930,What is the similarity and difference between human learning and machine learning
4931,4931,Why ridge regression is used
4932,4932,What is a stratified sampling approach
4933,4933,What is the difference between mean absolute error and mean square error
4934,4934,What is MAPE mad and MSE in forecasting
4935,4935,Is mean squared error the same as standard deviation
4936,4936,Why is normality important in statistics
4937,4937,Why is the normal curve important to standardized testing
4938,4938,What does skewed mean in statistics
4939,4939,What does a positive skew mean
4940,4940,What do you mean by word sense disambiguation
4941,4941,What are the key heuristics of Yarowsky algorithm
4942,4942,What are prioritization techniques
4943,4943,What are the prioritization techniques in agile
4944,4944,How can you improve prioritizing skills
4945,4945,How do you calculate prior mean
4946,4946,What is Delta error in perception model of neuron
4947,4947,Why is boosting used
4948,4948,How does boost work
4949,4949,What is boosting And how does boosting helps in achieving a better classification performance
4950,4950,What does random effect mean
4951,4951,What is random effect and fixed effect
4952,4952,How do you know if a random effect is significant
4953,4953,What is V in SVD
4954,4954,What does SVD mean
4955,4955,What is SVD in image processing
4956,4956,What is ETA in machine learning
4957,4957,What is a good learning rate
4958,4958,How do I know if my learning rate is too high
4959,4959,Why weights are used in neural networks
4960,4960,Is machine learning still in demand
4961,4961,What is gradient loss function
4962,4962,What is the loss function in XGBoost
4963,4963,How does gradient boosting work
4964,4964,Is a binary variable nominal
4965,4965,Is a binary variable categorical
4966,4966,What is binary variable
4967,4967,Are binary variables discrete
4968,4968,How do the T and Z distributions differ quizlet
4969,4969,How does the t statistic differ from the Z statistic
4970,4970,What is the main difference between Z and T test
4971,4971,What is the main difference between z score and T score
4972,4972,Is confidence interval same as effect size
4973,4973,Why is effect size important in statistics
4974,4974,How do Confidence intervals tell you whether your results are statistically significant
4975,4975,What is parametric and non parametric test in statistics
4976,4976,What is the relationship between correlation and regression
4977,4977,What is a linear relationship in correlation
4978,4978,What is correlation and regression with example
4979,4979,What do coefficients mean
4980,4980,What is coefficient in regression
4981,4981,What do coefficient estimates mean
4982,4982,What are the algorithms used in data mining
4983,4983,What are major data mining techniques
4984,4984,What are the classification algorithms in data mining
4985,4985,How do you find Z score on TI 84 with mean and standard deviation
4986,4986,Is Z score the same as standard deviation
4987,4987,How do you find the corresponding z score
4988,4988,What is the truth about statins
4989,4989,What is Optimizer in neural network
4990,4990,What is entropy in information technology
4991,4991,What is a simple definition of entropy
4992,4992,What is entropy in programming
4993,4993,Is machine learning part of data analytics
4994,4994,How is data analytics different from machine learning
4995,4995,Why do we need to normalize batch
4996,4996,Is logistic distribution symmetric
4997,4997,Is logistic regression parametric or nonparametric
4998,4998,What is a Softmax layer in CNN
4999,4999,What is loss function Gan
5000,5000,What is dimensionality reduction
5001,5001,What are dimensionality reduction and its benefits
5002,5002,What are the requirements to learn machine learning
5003,5003,Is programming required for machine learning
5004,5004,Is P value the same as level of significance
5005,5005,What is alpha in p value
5006,5006,What does a p value less than the alpha level mean
5007,5007,What are alpha levels
5008,5008,What is LSA in NLP
5009,5009,What is LDA algorithm
5010,5010,Which of the following option is are correct regarding benefits of ensemble model
5011,5011,How features are picked in deep learning
5012,5012,Why do we use normalization in batch
5013,5013,What do you mean by latent variables
5014,5014,What Gaussian means
5015,5015,What is relative frequency statistics
5016,5016,What does standard error represent in statistics
5017,5017,What is the purpose of the standard error of the mean
5018,5018,What can discrete latent variables in models correspond to
5019,5019,What is meant by frequency distribution in statistics
5020,5020,What is frequency distribution explain with an example
5021,5021,How do you find the frequency distribution in statistics
5022,5022,What is a frequency distribution and why is it useful
5023,5023,How do you define sensitivity
5024,5024,Is logistic regression mainly used for classification
5025,5025,What is logistic classification
5026,5026,How does a histogram help you analyze data
5027,5027,How do you analyze a histogram
5028,5028,How do you interpret a normal curve on a histogram
5029,5029,What is the use of decision tree in machine learning
5030,5030,How does a decision tree work
5031,5031,What is are true about ridge regression
5032,5032,How do you construct a stratified random sample
5033,5033,What are the major issues involved in stratified sampling
5034,5034,Which of the following are not criteria for the selection of stratification variables in stratified sampling
5035,5035,Why is it called a high pass filter
5036,5036,What should I set my high pass filter to
5037,5037,Is naive Bayes classification or regression
5038,5038,What are the different types of naive Bayes classifier
5039,5039,What is a validation set in machine learning
5040,5040,What is the difference between SLR and MLR
5041,5041,Do percent error and percent difference give indications of accuracy or precision
5042,5042,Does uncertainty measure accuracy or precision
5043,5043,What does a percent error tell you
5044,5044,How do you find the expected value and standard deviation of a geometric random variable
5045,5045,Is NLP required in deep learning networks
5046,5046,What is the difference between quota sampling and random sampling
5047,5047,Is quota sampling biased
5048,5048,How is the structure of a neural network determined
5049,5049,How do you measure generalization
5050,5050,What is the difference between query and subquery
5051,5051,What is the difference between correlated subquery and nested query
5052,5052,What is a target variable
5053,5053,What is a function in machine learning
5054,5054,What is exploration and exploitation
5055,5055,Why do we need to balance exploration and exploitation in Q learning
5056,5056,What is a reinforcement learning algorithm
5057,5057,What is reinforcement learning give example
5058,5058,Why do we use gradient descent in linear regression
5059,5059,What is the purpose of the gradient descent algorithm
5060,5060,What are the steps for using a gradient descent algorithm for linear regression
5061,5061,What is unstructured data used for
5062,5062,What is the probability formula
5063,5063,What is probability mass function with example
5064,5064,What is probability density function formula
5065,5065,What does N gram mean
5066,5066,What is N gram and Bigram in NLP
5067,5067,What does Unigram mean
5068,5068,How do you start data analysis
5069,5069,What is an example of data analysis
5070,5070,Where the AI is applicable in future
5071,5071,How artificial intelligence is useful
5072,5072,How do you do latent semantic analysis
5073,5073,What is LSA in SEO
5074,5074,What is Latent Semantic Indexing in SEO
5075,5075,What is meant by curse of dimensionality
5076,5076,What is the curse of dimensionality Can you give an example
5077,5077,What does a logarithm tell you
5078,5078,How do you explain logarithmic functions
5079,5079,How do you find the cosine similarity between two vectors
5080,5080,How do you find the cosine similarity between two sentences
5081,5081,What is a posteriori knowledge
5082,5082,What is Fourier series in signals and systems
5083,5083,For which type of signals Fourier Transform can be used
5084,5084,Why is entropy
5085,5085,When would you use a multi armed bandit
5086,5086,Which is true of a bandit test
5087,5087,What is an example of continuous distribution
5088,5088,What are the types of continuous distributions
5089,5089,What is the difference between continuous and discrete distribution
5090,5090,How do you write a null hypothesis
5091,5091,What stratification means
5092,5092,How do you stratify a sample
5093,5093,How does neural network work machine learning
5094,5094,Will neural networks replace machine learning
5095,5095,Is neural network unsupervised learning
5096,5096,Is neural network an algorithm
5097,5097,What is learning curve with example
5098,5098,How many types of learning curve are there
5099,5099,How do you plot a validation curve
5100,5100,What is the use of Confusion Matrix
5101,5101,How do you find outliers in a set of data
5102,5102,What is interquartile range used for
5103,5103,What are outliers explain the inter quartile range IQR method for outlier detection
5104,5104,What is factor analysis used for
5105,5105,How do you interpret a factor analysis
5106,5106,What does Standard Deviation tell you
5107,5107,How do you find the mean and standard deviation
5108,5108,What is mean and standard deviation used for
5109,5109,What is active learning and its purpose
5110,5110,What are the benefits of activity based learning
5111,5111,What is internal covariate shift in neural networks
5112,5112,What is significant and not significant
5113,5113,What does a significant t test mean
5114,5114,Why is the US metric system different
5115,5115,Do you need normal distribution for regression
5116,5116,Why is the chi square distribution positively skewed
5117,5117,Why do the critical values for a chi squared distribution get larger as the degrees of freedom get larger
5118,5118,What is the difference between joint probability and conditional probability
5119,5119,What is the relationship between two events if the conditional probability is equal to the unconditional probability that is if P A B P A )
5120,5120,What is statistical inference explain with an example
5121,5121,What is a linear regression equation example
5122,5122,How do you find the mean of a regression equation
5123,5123,What is simple regression equation
5124,5124,Why we assume in linear regression that errors are normally distributed
5125,5125,Does OLS assume normal distribution
5126,5126,What is linear SVM
5127,5127,What do logistic regression coefficients mean
5128,5128,What is a good sample size for logistic regression
5129,5129,What ensemble means
5130,5130,What is true about an ensemble classifier
5131,5131,What are hashes used for
5132,5132,What does hashing mean
5133,5133,What does the coefficient of variation measure
5134,5134,Is variance a measure of risk
5135,5135,What is the advantage of using a coefficient of variation over a variance
5136,5136,What is probability of distribution in term of frequency distribution
5137,5137,How do you find the probability distribution probability
5138,5138,How do you convert a frequency distribution to a relative frequency distribution
5139,5139,What is the relationship between frequency and probability
5140,5140,What is a bivariate plot
5141,5141,What plot would you use for bivariate quantitative variables
5142,5142,Is histogram used for bivariate analysis
5143,5143,What is meant by being offline
5144,5144,Can I learn data science without coding
5145,5145,Does data science involve coding
5146,5146,How many samples are needed for statistical analysis
5147,5147,What is Z in Wilcoxon test
5148,5148,What is ap value in Wilcoxon test
5149,5149,How are explanation theory and prediction related
5150,5150,What is the difference between explanatory and predictive research
5151,5151,Why do we use association rule mining
5152,5152,What are the problems of association rule mining
5153,5153,What is association rule mining explain Apriori algorithm
5154,5154,What is Adam in neural network
5155,5155,What are the main differences between normal distribution and standard normal distribution
5156,5156,What does a normal distribution curve mean
5157,5157,What is the importance of observation
5158,5158,How do you find mean absolute deviation 6th grade
5159,5159,What is the formula for calculating mean deviation
5160,5160,What is the difference between mean and mean absolute deviation
5161,5161,What is Steinmetz law
5162,5162,What is B and H in BH curve
5163,5163,What datasets are used during neural network learning
5164,5164,What is meant by training set
5165,5165,How does a neural network learn
5166,5166,Why do we use survival analysis
5167,5167,What does backpropagation for neural network training determines
5168,5168,How does backpropagation learning work
5169,5169,What is an input layer
5170,5170,What is the input of CNN
5171,5171,What are the different layers in CNN
5172,5172,What is input in neural network
5173,5173,What does a factorial tell you
5174,5174,How factorial is calculated
5175,5175,What is conditional mean in statistics
5176,5176,How do you create a null hypothesis
5177,5177,How do you determine the null hypothesis
5178,5178,What is filter in deep learning
5179,5179,Is a lower R Squared better
5180,5180,What should R Squared be in a regression
5181,5181,What are examples of outputs
5182,5182,What do you mean by output unit
5183,5183,How do you Analyse ordinal variables
5184,5184,Why is an RNN recurrent neural network used for machine translation
5185,5185,Is sample variance and population variance the same
5186,5186,What is the relation between sample and population
5187,5187,What is the difference between population covariance and sample covariance
5188,5188,How do you find the Gini coefficient of data
5189,5189,WHO publishes Gini coefficient
5190,5190,What is the United States Gini coefficient
5191,5191,How is depth from disparity map calculated
5192,5192,What is a disparity map
5193,5193,How do you convert depth to disparity
5194,5194,What is the use of C parameter in SVM
5195,5195,What if we set c parameter to infinite in SVM
5196,5196,Which of the parameters are considered to be hyper parameters parameters which we can change for support vector machines
5197,5197,Why are convolutional neural networks better for images
5198,5198,What is linear spatial filtering
5199,5199,What is a convolutional filter
5200,5200,How many filters should a CNN have
5201,5201,What are the two forms of fallacy of division
5202,5202,What is false division
5203,5203,What is fallacies and its types explain it with examples
5204,5204,Can unsupervised learning be used for classification
5205,5205,Can unsupervised learning be used for prediction
5206,5206,What are AI skills
5207,5207,What major do you need for artificial intelligence
5208,5208,How do decision trees decide to split
5209,5209,What is a splitting variable
5210,5210,How is Taguchi loss function calculated
5211,5211,What does the Taguchi loss function suggest about the issue of tolerance
5212,5212,What does the Taguchi function do in terms of cost target and variation
5213,5213,What is forward chaining in AI
5214,5214,What is forward and backward reasoning in artificial intelligence
5215,5215,What is gradient boosting model
5216,5216,Why we use gradient boosting
5217,5217,What is an example of empirical evidence
5218,5218,What is an empirical sentence
5219,5219,How do you determine if there is a significant relationship between two variables
5220,5220,Is normal and Gaussian distribution the same
5221,5221,What is the difference between normal and standard distribution
5222,5222,What is the purpose of the t test for dependent groups
5223,5223,What is an example of a dependent t test
5224,5224,What is meant by clustering in machine learning
5225,5225,What is meant by clustering in data mining
5226,5226,How the target function is represented in concept learning
5227,5227,What is Vgg
5228,5228,What does Vgg stand for deep learning
5229,5229,What is Vgg used for
5230,5230,What is the use of least square method
5231,5231,Which of the following does the method of least squares minimize
5232,5232,What does AUC mean
5233,5233,What kind of outcomes does logistic regression predict Mcq
5234,5234,How is big data related to machine learning
5235,5235,How Machine Learning works for big data applications
5236,5236,Why was machine learning so effective after big data
5237,5237,How ML algorithms are implemented on big data
5238,5238,What is frequency density in histograms
5239,5239,Do Histograms show frequency
5240,5240,Is density the same as frequency
5241,5241,What does negative log likelihood mean
5242,5242,Why Hopfield networks are usually used for auto association
5243,5243,How do you find the standard error of the difference between two means
5244,5244,How do you find the difference between two means
5245,5245,What is 2 standard error of the mean
5246,5246,What is boosting in ML
5247,5247,How does boosting algorithm work
5248,5248,Why is boosting so effective in machine learning
5249,5249,What does area under the curve mean in statistics
5250,5250,What is fuzzy set in AI
5251,5251,Is Fuzzy Logic a machine learning algorithm
5252,5252,What does Mnist mean
5253,5253,What is Mnist in Tensorflow
5254,5254,What is Mnist in Python
5255,5255,What is Gamma Poisson
5256,5256,How will you find the correlation between a categorical variable and a continuous variable
5257,5257,How do you test for Multicollinearity for categorical variables
5258,5258,What is RNN in deep learning
5259,5259,How do you find q in statistics
5260,5260,How do you classify in machine learning
5261,5261,What is the meaning of parameter
5262,5262,What are parameters in a model
5263,5263,What are parameters in a neural network
5264,5264,Which is a neural network learning algorithm
5265,5265,How does neural network machine learning work
5266,5266,What are the basic concepts in statistics
5267,5267,What are the two main types of statistics
5268,5268,What are the three main areas of statistics
5269,5269,How does control and variables helps determine the dependent and independent variable
5270,5270,Does the control variable affect the dependent variable
5271,5271,Can the control and independent variable be the same
5272,5272,Do you control the dependent variable
5273,5273,What is β in regression
5274,5274,How are the regression coefficients determined
5275,5275,What is the difference between B and beta in regression
5276,5276,What kind of events are described by an exponential distribution
5277,5277,How does a decision tree split Continuous attribute
5278,5278,What are the types of statistical hypothesis
5279,5279,What is calibration in deep learning
5280,5280,Which answer explains better the convolution
5281,5281,What happens in Alpha state
5282,5282,How do you get to the alpha wave state
5283,5283,What is Gan in machine learning
5284,5284,What is meant by psychometric test
5285,5285,What is a skill test
5286,5286,What are the different types of psychometric tests
5287,5287,How do you find the joint probability of two random variables
5288,5288,What are jointly distributed random variables
5289,5289,How do you find the distribution of a random variable
5290,5290,How is stratified sampling done
5291,5291,Why do we use stratified sampling
5292,5292,Which of the following is an effective use of stratified sampling
5293,5293,Where is error in neural network
5294,5294,What is error correction learning in neural network
5295,5295,What is error in back propagation neural network
5296,5296,What is regression tree analysis
5297,5297,How do you derive an equation using dimensional analysis
5298,5298,How do you derive dimensions
5299,5299,What is dimensional analysis equation
5300,5300,What is the Y intercept in regression
5301,5301,What is the formula for the equation of the least squares regression line
5302,5302,Is Kruskal Wallis and Anova
5303,5303,How is Anova different from non parametric test
5304,5304,Under what conditions should you use Kruskal Wallis rank test instead of the on way Anova
5305,5305,Can SVM output probabilities
5306,5306,What is the use of SVM classifier
5307,5307,Does increasing sample size decrease type 1
5308,5308,Does type 1 error rate depend on sample size
5309,5309,How does sample size affect error
5310,5310,Why does training loss increase
5311,5311,How do you reduce voluntary response bias
5312,5312,How do you remove sampling bias
5313,5313,What causes nonresponse bias
5314,5314,Why would you want to use the normal distribution to approximate a binomial distribution
5315,5315,How do you know when to use binomial or normal distribution
5316,5316,What is the central limit theorem in statistics
5317,5317,What kind of AI is Jarvis
5318,5318,How did Jarvis become an AI
5319,5319,What is xn in statistics
5320,5320,What does N mean in statistics
5321,5321,What does N mean in normal distribution
5322,5322,What is X1 and X2 in statistics
5323,5323,How do you interpret confidence interval odds ratio
5324,5324,Can linear regression be used for time series data
5325,5325,Is regression analysis time series
5326,5326,What is the difference between time series analysis and regression analysis
5327,5327,What is meant by hierarchical clustering
5328,5328,Which are two types of hierarchical clustering
5329,5329,What is the use of hierarchical clustering
5330,5330,What is the difference between hierarchical and k means clustering
5331,5331,How do you find the sum of squares regression
5332,5332,What is the regression sum of squares quizlet
5333,5333,How do you find the joint distribution
5334,5334,What is the formula for joint probability
5335,5335,Which distributions are discrete
5336,5336,Is exponential distribution continuous or discrete
5337,5337,Does RAM speed matter for deep learning
5338,5338,Is GTX 1060 good for deep learning
5339,5339,What is the symbol for the median
5340,5340,What is the formula of median
5341,5341,What's the mathematical term for median
5342,5342,What is the major difference between simple regression and multiple regression
5343,5343,How does multiple regression differ from simple regression quizlet
5344,5344,Who developed the statistical technique known as regression quizlet
5345,5345,How can object detection performance be improved
5346,5346,What is the purpose of object detection
5347,5347,How do you deal with biased data
5348,5348,How do you remove bias from data
5349,5349,How do you deal with high bias
5350,5350,Why is more data more accurate
5351,5351,How can you make data more accurate
5352,5352,How do you choose support vectors
5353,5353,What means support vector
5354,5354,Why do we use tokenization
5355,5355,What is a one sample z test used for
5356,5356,When should Z test be used
5357,5357,Under what conditions can you use the one sample z test and standard distribution
5358,5358,What are the conditions for a one proportion z test
5359,5359,How do you treat missing values
5360,5360,How do you predict missing values
5361,5361,How do you treat missing categorical values
5362,5362,What is prior probability Brainly
5363,5363,What are the limitations of Fourier Transform
5364,5364,What is difference between Fourier and Fourier Transform
5365,5365,What are the properties of Fourier transform
5366,5366,How do you calculate hit rate and false alarm rate
5367,5367,How is SDT calculated
5368,5368,Is Type 1 error p value
5369,5369,How do you calculate y intercept
5370,5370,What is intercept in regression analysis
5371,5371,Can heuristic be consistent but not admissible
5372,5372,How do bag words work
5373,5373,Which of the following is true about bag of visual words
5374,5374,What is Visual Word
5375,5375,What is a LDA
5376,5376,How do you standardize a normal distribution
5377,5377,What are standardized scores and standard distribution
5378,5378,What is the predicted value of y
5379,5379,How do you find the predicted value of y in Excel
5380,5380,How do you predict y intercept
5381,5381,How do you find the predicted and residual value
5382,5382,Is Dijkstra's a greedy algorithm
5383,5383,What makes an algorithm greedy
5384,5384,Why does Dijkstra's algorithm work
5385,5385,How do you find the analysis of variance
5386,5386,How does a one way analysis of variance work
5387,5387,How do you find the variance in an Anova table
5388,5388,How do you know if you have a high or low pass filter
5389,5389,How do high pass and low pass filters work
5390,5390,What is Eigen value and eigen vector in Matrix
5391,5391,What is eigenvalue example
5392,5392,What are fixed effects
5393,5393,Which is the best models used in word2vec algorithm for words embedding
5394,5394,How do you train vectors in Word
5395,5395,What is the point of a regression
5396,5396,What is regression and why it is used
5397,5397,What are the challenges in training a neural network vanishing gradients
5398,5398,How do you know if a dependent variable is normally distributed
5399,5399,What is normalized data with example
5400,5400,What is the purpose for data normalization
5401,5401,How do we eliminate AI bias
5402,5402,What does the confusion matrix tell you
5403,5403,What is the skew of the distribution
5404,5404,How do you calculate skewness example
5405,5405,How do you test for skewness
5406,5406,Is probability sampling the same as random sampling
5407,5407,What is the difference between a sample and a random sample
5408,5408,What is the difference between random sampling and non random sampling
5409,5409,What is the purpose of splitting data before training a machine learning model
5410,5410,What would be the correct partition of the training and test set
5411,5411,How do I create a decision tree in Word
5412,5412,How do you solve a decision tree
5413,5413,How do you find the median of a run
5414,5414,Whats does median mean
5415,5415,What is meant by interpolation vs extrapolation What specifically do you use in order to do this why is it usually unsafe to assume that extrapolated data is correct and safer to assume that interpolated data is correct
5416,5416,What does the standard error Tell us why is it useful
5417,5417,Is sigmoid nonlinear
5418,5418,Why are activation functions nonlinear
5419,5419,Is Tanh linear
5420,5420,What is meant by cumulative distribution function
5421,5421,What is CDF and PDF in statistics
5422,5422,Which of the following is a limitation of using regression
5423,5423,What is output layer
5424,5424,What is output of neural network
5425,5425,What is input layer in neural network
5426,5426,How do you write a machine learning algorithm
5427,5427,Does output layer have weights
5428,5428,What is input layer
5429,5429,What is input weight
5430,5430,Is the input layer a hidden layer
5431,5431,How do you find the degrees of freedom numerator and denominator
5432,5432,What is DF in F test
5433,5433,What is the numerator df in Anova
5434,5434,Why is random selection important in research
5435,5435,Why is random sampling and random assignment important
5436,5436,Why is random assignment used in between subjects experimental designs
5437,5437,How do you do ordinal variables in regression
5438,5438,What is ordinal regression analysis
5439,5439,How do you run regression on a Likert scale
5440,5440,What is support and confidence in Apriori algorithm
5441,5441,What is divergent validity in psychology
5442,5442,How do you find discriminant validity
5443,5443,What is the expected value of a binomial random variable
5444,5444,How do you find the binomial random variable
5445,5445,What is a control group in statistics
5446,5446,How do you find the standard deviation of a sample mean
5447,5447,Can you calculate standard deviation from 2 samples
5448,5448,How do you correct omitted variable bias
5449,5449,How does face detection algorithm work
5450,5450,Is face detection AI
5451,5451,Is face detection machine learning
5452,5452,What is the difference between linear and non linear text
5453,5453,What the difference between a linear pattern and nonlinear pattern
5454,5454,What is linear and non linear system
5455,5455,What is risk Minimisation
5456,5456,How are risk minimized
5457,5457,Why do we monitor risk Minimisation strategies
5458,5458,What is bivariate normality
5459,5459,How is normal distribution calculated
5460,5460,Which data is applied to machine learning algorithms
5461,5461,How do you implement an algorithm
5462,5462,How do you create a clipping path
5463,5463,How do you create a clipping mask
5464,5464,What does clipping path mean
5465,5465,How does Heteroskedasticity affect regression
5466,5466,What would be then consequences for the OLS estimator if heteroscedasticity is present in a regression model but ignored
5467,5467,How do you remove Heteroscedasticity in SPSS
5468,5468,What is the purpose of a hash function
5469,5469,What's a good hash function
5470,5470,Why do we need deep learning
5471,5471,Why do we require deep neural networks
5472,5472,What is deep learning and its applications
5473,5473,Why is deep learning better than machine learning
5474,5474,What is the formula for binomial probability
5475,5475,How a semantic network is used to represent knowledge
5476,5476,What way to infer knowledge using semantic networks in which knowledge is represented as frames
5477,5477,How should knowledge be represented to be used for an AI technique
5478,5478,Which is the Contrapositive of P → Q Brainly
5479,5479,Which is the converse of P → Q
5480,5480,Which is the inverse of P → Q quizlet
5481,5481,What is P -> Q
5482,5482,Is F distribution skewed
5483,5483,Is F distribution continuous or discrete
5484,5484,How do you choose Batch and learning rate
5485,5485,Can random sampling be used in qualitative research
5486,5486,Why is sampling important in qualitative research
5487,5487,Which statistic is are unbiased estimate of population parameter
5488,5488,How effective is face recognition as a security measure
5489,5489,What are the limitations of facial recognition
5490,5490,How can you reduce false positives
5491,5491,How can we reduce false positives in deep learning
5492,5492,How can false negatives be reduced
5493,5493,What does boost your confidence mean
5494,5494,What happens when you have too much confidence
5495,5495,What causes high confidence
5496,5496,What is the difference between discrete and continuous quantitative data
5497,5497,How do you write a Poisson distribution
5498,5498,Is stratified random sampling non probability sampling
5499,5499,What type of sampling is stratified sampling
5500,5500,How do we use variance in real life
5501,5501,What are the practical significance of the range variance and standard deviation
5502,5502,When should variance be used
5503,5503,What is the use of Bayesian network
5504,5504,What does the Bayesian network answer your query
5505,5505,What do coefficients mean in regression
5506,5506,What does it mean if a coefficient is statistically significant
5507,5507,What does the coefficient of determination r2 tell you
5508,5508,Does streaming use lots of data
5509,5509,Why is frequency analysis important
5510,5510,Why is it useful to look at frequency data it can be quicker easier to do certain post processing functions in the frequency domain time series data is complicated because it is unclear when certain events occur frequency data shows us the power of events so we can
5511,5511,What is accuracy in neural network
5512,5512,How do you increase the accuracy of a CNN model
5513,5513,How do you increase the accuracy of a deep learning model
5514,5514,What is average linkage
5515,5515,What is linearity in regression
5516,5516,What does skewness tell us about data
5517,5517,What does it mean if a data set is skewed
5518,5518,What are the two requirements of a probability distribution
5519,5519,What are the properties of distribution
5520,5520,What are the two properties of a continuous probability distribution
5521,5521,What are the two properties of a probability density function
5522,5522,How does an AI model work
5523,5523,Why are chi square goodness of fit and independence tests always right tailed tests
5524,5524,Why is a chi square test one tailed
5525,5525,Why CNN is used in image processing
5526,5526,What is CNN used for
5527,5527,What is a fixed effect in statistics
5528,5528,What does it mean to explain variance
5529,5529,What is variance in simple terms
5530,5530,Why is dimensionality reduction important in machine learning
5531,5531,What are two ways of reducing dimensionality
5532,5532,How do you find the mean deviation
5533,5533,What is mean deviation and standard deviation
5534,5534,Why mean deviation is used
5535,5535,How do you calculate the standard error of the mean
5536,5536,What are the five popular algorithms of machine learning *
5537,5537,What is the meaning of outputs
5538,5538,What is multivariate analysis example
5539,5539,What is the disadvantage of decision tree
5540,5540,What are the issues in decision tree
5541,5541,Why are decision trees bad
5542,5542,Which clustering uses a top down approach
5543,5543,What are different types of hierarchical clustering algorithms
5544,5544,Is agglomerative clustering deterministic
5545,5545,Is negative binomial distribution discrete or continuous
5546,5546,How do you tell if a distribution is discrete or continuous
5547,5547,What happens when learning rate is too high
5548,5548,Why might a lower learning rate be superior
5549,5549,What is the purpose of the one sample z test
5550,5550,What is a 1 proportion z test
5551,5551,How is XOR value calculated
5552,5552,How does XOR encryption work
5553,5553,What is a standard score in statistics
5554,5554,How do you find the standard score in Excel
5555,5555,What is mean square error in neural network
5556,5556,What does density mean in simple terms
5557,5557,What is density in your own words
5558,5558,How is density best defined
5559,5559,What are the different types of correlation
5560,5560,What is bivariate correlational
5561,5561,How many variables does bivariate data have
5562,5562,What is the moment generating function of a random variable
5563,5563,How do you find the moment generating function of a discrete random variable
5564,5564,Why are moment generating functions important
5565,5565,What is the advantage of computing relative frequency instead of simple frequency
5566,5566,Is relative frequency the same as frequency
5567,5567,What is the use of relative frequency
5568,5568,Why is it advantageous to use a relative frequency histogram instead of a frequency histogram
5569,5569,What is the difference between the control group and the experimental group quizlet
5570,5570,What is the meaning of moments
5571,5571,What does causal analysis mean
5572,5572,What is the difference between a Z test and an't test and can you give an example to differentiate the two
5573,5573,What is Z test used for
5574,5574,What is Fscore in machine learning
5575,5575,What is dependent variable in statistics
5576,5576,What is the difference between dependent and independent variable
5577,5577,How do you calculate weighted average
5578,5578,What is weighted average used for
5579,5579,What is the difference between average and weighted average
5580,5580,Is cluster sampling stratified
5581,5581,Where are Bayesian networks used
5582,5582,What is linear operator explain its
5583,5583,How do you know if a operator is linear
5584,5584,What are biases in machine learning
5585,5585,What is bias give an example
5586,5586,What is bias and variance in machine learning with example
5587,5587,What are the causes of bias in machine learning
5588,5588,What is sampling and its significance
5589,5589,Why is random sampling important in statistics
5590,5590,What is skewness in statistics
5591,5591,What is meant by kurtosis in statistics
5592,5592,What is a latent concept
5593,5593,What is geometric margin
5594,5594,What is the relationship between P value and confidence interval
5595,5595,How do you find P value from confidence interval
5596,5596,What does it mean if two variables are highly correlated
5597,5597,How do I remove highly correlated features
5598,5598,What happens when independent variables are correlated
5599,5599,What distribution is used for the Wilcoxon rank sum test
5600,5600,What is a feature in deep learning
5601,5601,What is the difference between random and systematic error
5602,5602,What is the difference between random and non random sampling
5603,5603,What does error rate mean
5604,5604,What is the misclassification rate
5605,5605,What is vanishing gradient in RNN
5606,5606,Which of the following quantity is a second order tensor
5607,5607,How do you find the adjoint of a linear transformation
5608,5608,How does SVM work for regression
5609,5609,What is the difference between SVM and linear regression
5610,5610,What is the goal of support vector regression SVR )
5611,5611,What is meant by moment of a distribution
5612,5612,What are the two types of factor analysis
5613,5613,How do you analyze a factor analysis
5614,5614,What is the meaning of Communalities in factor analysis
5615,5615,What is Bayesian analysis and its purpose
5616,5616,What are the benefits of hashing
5617,5617,What is the advantage of hashing over linear search and binary search
5618,5618,What are the applications of hashing
5619,5619,How is IQ deviation calculated
5620,5620,What is the IQ distribution
5621,5621,How does data get skewed
5622,5622,How can we avoid skewness in a data
5623,5623,What are singular vectors LSA
5624,5624,What is called random experiment
5625,5625,What is probability event experiment
5626,5626,Can a probability density function be negative
5627,5627,How do you know if a probability density function is valid
5628,5628,What are the properties of probability density function
5629,5629,How do you know if something is statistically independent
5630,5630,Why is statistical independence important
5631,5631,What is false positive in confusion matrix
5632,5632,What is BFS and DFS explain with example
5633,5633,What is DFS vs BFS
5634,5634,How do you do DFS and BFS
5635,5635,Where would you use a confidence interval in everyday life
5636,5636,What can confidence intervals be used for
5637,5637,What are the advantages and disadvantages of using decision trees
5638,5638,What is Overfitting problem while building a decision tree model
5639,5639,What is the purpose of using training examples in a neural network
5640,5640,What are the steps in neural network training
5641,5641,What is Minibatch in machine learning
5642,5642,Why is it called Q learning
5643,5643,What is deep Q learning
5644,5644,What are the characteristics of distribution
5645,5645,What is not a characteristic of a normal distribution
5646,5646,What is normal probability distribution and its characteristics
5647,5647,What is CNN in machine learning
5648,5648,What is a CNN used for
5649,5649,Can a random variable be discrete
5650,5650,Can a random variable be continuous
5651,5651,Is time a discrete or continuous random variable
5652,5652,Can clustering be used for prediction
5653,5653,How do you determine a cluster
5654,5654,What is temporal data warehouse
5655,5655,What is meant by the dimensionality of data
5656,5656,What is the artificial intelligence
5657,5657,What is annotation in deep learning
5658,5658,How do I annotate a picture in Word
5659,5659,What is asynchronous data transfer explain in detail
5660,5660,What is synchronous and asynchronous data transfer
5661,5661,What is the meaning of asynchronous
5662,5662,How does the goodness of fit test differ from the chi square variance test
5663,5663,Can a chi square test for independence be used to determine causation
5664,5664,Why is a chi square called goodness of fit rather than a hypothesis test
5665,5665,What is stochastic gradient descent approach
5666,5666,What is stochastic gradient descent vs gradient descent
5667,5667,What is SGD in machine learning
5668,5668,What are the continuous distributions
5669,5669,How do you find the continuous probability distribution
5670,5670,What are discrete probability distributions
5671,5671,What is called output
5672,5672,What is output device short answer
5673,5673,How do you find the probability of specificity and sensitivity
5674,5674,What is train Loss and Validation loss
5675,5675,What can make a R squared value be negative
5676,5676,Can R Squared adjusted be negative
5677,5677,Can you have a negative coefficient of determination
5678,5678,What causes a low R squared value
5679,5679,What is an approximately normal distribution
5680,5680,What makes normally distributed
5681,5681,What makes a sampling distribution approximately normal
5682,5682,How do you determine if data is approximately normally distributed
5683,5683,What are the classification algorithms in machine learning
5684,5684,What is classification of algorithm
5685,5685,What are classification algorithms used for in data science
5686,5686,Which is the best classification algorithm in machine learning
5687,5687,How do you calculate coefficient
5688,5688,What is data structures and its types
5689,5689,What are the different data structures
5690,5690,What is structure in data structure
5691,5691,What is the formula for positive predictive value
5692,5692,What is the difference between structured and unstructured data
5693,5693,What is structured and unstructured data in data science
5694,5694,What is structured data with example
5695,5695,What is not random sampling
5696,5696,What are the types of random and non random sampling technique
5697,5697,What are the types of random sampling
5698,5698,What is random sampling method in research
5699,5699,How does neural network fix Overfitting
5700,5700,What causes Overfitting How do you stop Overfitting in neural networks
5701,5701,How do you interpret covariance
5702,5702,What is covariance meaning
5703,5703,What is logistic regression mixed effect
5704,5704,Will MinMax scaling affect the values of dummy variables
5705,5705,Do you standardize dummy variables
5706,5706,What does a quantile plot show
5707,5707,How do you interpret a quantile quantile plot
5708,5708,What is the difference between PP plot and QQ plot
5709,5709,What is a QQ plot explain the use and importance of a QQ plot in linear regression
5710,5710,What is partial clustering
5711,5711,Is CNN a machine learning algorithm
5712,5712,Can a regression line be negative
5713,5713,How do you interpret a regression line
5714,5714,What does r2 tell you about your regression line
5715,5715,What is the difference between probability and Nonprobability sampling
5716,5716,Is confusion matrix symmetric
5717,5717,What is confusion matrix in python
5718,5718,What does it mean to say that the normal distribution is asymptotic
5719,5719,Is normal distribution asymptotic
5720,5720,How do you derive asymptotic distribution
5721,5721,How do you show asymptotic normality
5722,5722,What is a sampling frame and why is it important
5723,5723,What is a sample frame in statistics
5724,5724,What are the types of sampling frames
5725,5725,Why NumPy is used in machine learning
5726,5726,What is the use of NumPy and pandas in Python
5727,5727,What is bootstrap and how does it work
5728,5728,How is the loss function defined
5729,5729,How do you calculate loss in machine learning
5730,5730,How do you calculate loss in neural network
5731,5731,What is a loss function in deep learning
5732,5732,What is a random variable statistics quizlet
5733,5733,What is bivariate data correlation
5734,5734,What does bivariate mean in statistics
5735,5735,How does mini batch gradient descent work
5736,5736,How do you do batch gradient descent
5737,5737,What is the difference between proper subset and superset
5738,5738,What does an F test tell you
5739,5739,What is the relationship between T and F statistics
5740,5740,When should you use F test
5741,5741,What does the t test do
5742,5742,Can decision trees handle missing values
5743,5743,What is simulation and its types
5744,5744,What is the purpose of simulation
5745,5745,What is the meaning behind the Matrix
5746,5746,What's the story of the Matrix
5747,5747,What is the purpose of the Matrix
5748,5748,What is the lesson of the Matrix
5749,5749,What is sub sampling in statistics
5750,5750,Why are CNNs not scale invariant
5751,5751,Is clustering supervised or unsupervised learning
5752,5752,Is clustering unsupervised
5753,5753,Is K means clustering supervised learning
5754,5754,What is Sigma Gaussian
5755,5755,What is kernel size in Gaussian blur
5756,5756,What is Gaussian low pass filter
5757,5757,What is the difference between traditional machine learning and deep learning
5758,5758,Which is better machine learning or deep learning
5759,5759,What are the advantages of deep learning approach over classical machine learning approach
5760,5760,Does AI use human intelligence
5761,5761,What are the steps of NLP
5762,5762,What is F value in Anova
5763,5763,What does F value mean
5764,5764,What is F and F critical value in Anova
5765,5765,What does F test mean
5766,5766,What is the standard error quizlet
5767,5767,What is the standard error of the sample mean
5768,5768,Which of the following are used to calculate the standard error of the mean
5769,5769,What is meant by quantization of charge
5770,5770,What is meant by quantization of charge Class 12
5771,5771,How do you test for normality in a QQ plot
5772,5772,What does a normal quantile plot tell you
5773,5773,How do I interpret a QQ plot in SPSS
5774,5774,Is a QQ plot a normal probability plot
5775,5775,Is Type 1 error the same as significance level
5776,5776,How does significance level affect Type 2 error
5777,5777,What does biased estimator mean
5778,5778,What does biased mean in statistics
5779,5779,What creates a biased estimator of a population parameter
5780,5780,Where do we use clustering
5781,5781,What is clustering explain with an example
5782,5782,What is meant by pattern recognition
5783,5783,What is pattern recognition and machine learning
5784,5784,What is pattern recognition with example
5785,5785,What are the different ML models
5786,5786,Which model belongs to machine learning
5787,5787,What causes bias in regression
5788,5788,What is the concept of reinforcement learning
5789,5789,Why do logit and probit coefficient estimates differ
5790,5790,Does logistic regression use Maximum Likelihood
5791,5791,What is stacking model
5792,5792,What is blending in machine learning
5793,5793,How is engine efficiency calculated
5794,5794,How can something be statistically significant yet not clinically significant
5795,5795,What does practically significant mean in statistics
5796,5796,What is meant by optimization
5797,5797,What are the elements of an optimization problem
5798,5798,What is the null hypothesis for a chi square test group of answer choices
5799,5799,How do you interpret log likelihood
5800,5800,How is hinge loss calculated
5801,5801,What is categorical hinge loss
5802,5802,What does the line of regression represent
5803,5803,Why are regression lines useful
5804,5804,What does the area under the ROC curve provide us
5805,5805,What are the advantages and disadvantages of convenience sampling
5806,5806,How do you determine sample size for convenience sampling
5807,5807,Why the mean of the log normal distribution is larger than median
5808,5808,How is accuracy score calculated
5809,5809,What is the purpose of cross validation in machine learning
5810,5810,What is cross validation error in machine learning
5811,5811,Why is panel data better
5812,5812,When would you use panel data analysis
5813,5813,What is the difference between panel data and pooled data
5814,5814,How many independent variables can you have in multiple regression
5815,5815,Is it OK to have multiple independent variables
5816,5816,How many independent variables can I have
5817,5817,What is Regularisation in deep learning
5818,5818,What are the types of filters used in rectifier and which is better and why
5819,5819,What is a big advantage of exponential smoothing
5820,5820,How is moving average different from exponential smoothing
5821,5821,What is the two norm of a matrix
5822,5822,What are norms in linear algebra
5823,5823,What's the difference between L1 and L2 regularization and why would you use each
5824,5824,Is Fourier series Periodic
5825,5825,Is the Dtft periodic
5826,5826,Why Fourier series is used for periodic signals
5827,5827,Is CNN a classification algorithm
5828,5828,Can CNN be used for text classification
5829,5829,Where CNN can be used
5830,5830,Is logistic regression sigmoid function
5831,5831,Why we use sigmoid function in logistic regression
5832,5832,Where is sigmoid function used
5833,5833,Is a normal probability distribution continuous or discrete
5834,5834,Is a normal random variable discrete or continuous
5835,5835,Is PDF discrete or continuous
5836,5836,What is the meaning of decision theory
5837,5837,What is probability theory in decision making
5838,5838,What is Poisson distribution find its mean and variance
5839,5839,When should you use a Poisson distribution
5840,5840,What is the application of Poisson distribution
5841,5841,Is DFS a greedy algorithm
5842,5842,How accurate is Monte Carlo simulation
5843,5843,Is Monte Carlo a learning machine
5844,5844,How do you measure accuracy of a model
5845,5845,How do you evaluate predictive performance models
5846,5846,How do you handle categorical variables in multiple regression
5847,5847,Can we scale categorical variables
5848,5848,What does regression line mean
5849,5849,What does the term regression mean
5850,5850,Why is it called the least squares regression line
5851,5851,What are the types of data mining
5852,5852,What are the two task of data mining
5853,5853,What is data data mining
5854,5854,What are the four data mining techniques
5855,5855,What is stationary and non stationary signals
5856,5856,What is a stationary process in statistics
5857,5857,How can the performance of machine learning model be improved
5858,5858,What is model optimization
5859,5859,How do you optimize a deep learning model
5860,5860,What is agent in reinforcement learning
5861,5861,How the performance of a learning algorithm is assessed
5862,5862,What are the types of knowledge representation
5863,5863,What is the difference between correlation coefficient and r2
5864,5864,What is difference between R and R Squared
5865,5865,What does the coefficient of determination tell you about correlation
5866,5866,What's the difference between the coefficient of determination and the coefficient of alienation
5867,5867,How are signals processed
5868,5868,What are the types of discrete variable
5869,5869,Which of the following is an example of a discrete variable
5870,5870,What are discrete variables in research
5871,5871,How do you find a Type 2 error in statistics
5872,5872,Why does RELU work better than sigmoid
5873,5873,What is the difference between Word2vec and BoW
5874,5874,What is bag of words in text mining
5875,5875,What is image processing
5876,5876,What is connectivity in image processing
5877,5877,What are the types of connectivity in image processing
5878,5878,Is deep learning in demand
5879,5879,Which testing technique is best
5880,5880,How do you find the median of a class interval and frequency
5881,5881,How do you find the mean of a class interval in a frequency table
5882,5882,How do you find the mean median and mode from a frequency table
5883,5883,What is the difference between classification and regression
5884,5884,What is the difference between classification and prediction
5885,5885,Is neural network regression or classification
5886,5886,What is the difference between t test and F test
5887,5887,What is the difference between F and Student t test in multiple linear regression
5888,5888,Is P exactly 0.05 statistically significant
5889,5889,How does Hidden Markov model work
5890,5890,What is inverse normal cumulative distribution function
5891,5891,How do you find the inverse of CDF
5892,5892,Can CDF be negative
5893,5893,How do you use norm S Inv
5894,5894,What does the power of the test mean
5895,5895,What does power of the test mean in statistics
5896,5896,What are Logits in Tensorflow
5897,5897,What does from Logits mean
5898,5898,What does from NumPy import * mean
5899,5899,What is the difference between import and from import in Python
5900,5900,What is NumPy in Python
5901,5901,What is considered a false alarm
5902,5902,What is the probability of detection
5903,5903,What is miss rate and false alarm rate
5904,5904,What is Minimax search procedure in artificial intelligence
5905,5905,What is Minimax procedure
5906,5906,What is univariate correlation
5907,5907,What is clustering useful for
5908,5908,How do you cluster high dimensional data
5909,5909,How does Lstm works for text classification
5910,5910,How do you explain degrees of freedom in statistics
5911,5911,What is meant by the reward pathways of the reward center of the brain
5912,5912,How can recall rates be increased
5913,5913,How do you improve recall in random forest
5914,5914,What is recall in machine learning
5915,5915,What is imbalanced dataset in machine learning
5916,5916,Why do we balance dataset
5917,5917,What is meant by the term vector
5918,5918,What is called vector give example
5919,5919,Can a human be a vector
5920,5920,What is a vector in computers
5921,5921,What are the conditions for chi square test
5922,5922,What kind of distribution is chi square
5923,5923,How do you find the chi square distribution
5924,5924,What is meant by inferential statistics
5925,5925,What is inferential statistics with relevant examples
5926,5926,What is difference between simple linear and multiple linear regressions
5927,5927,When should you use multiple linear regression
5928,5928,Is TensorFlow part of Python
5929,5929,Which language is used in TensorFlow
5930,5930,How does deep dream generator work
5931,5931,How do you know if you should reject the null hypothesis
5932,5932,Why training accuracy is lower than validation
5933,5933,Is normalization necessary for random forest
5934,5934,Which ML algorithms need normalization
5935,5935,How do you find the upper and lower bounds margin of error
5936,5936,What happens to margin of error when sample size decreases
5937,5937,How can you detect edges with gradient filters
5938,5938,What is standard normal loss function
5939,5939,Is pixel binning good
5940,5940,How does pixel size affect image quality
5941,5941,What is simultaneous equation in econometrics
5942,5942,What is meant by false positive
5943,5943,What causes false positive results
5944,5944,What is a multiclass model
5945,5945,Can Anova be used to compare two groups
5946,5946,How do you determine statistical significance between two groups
5947,5947,What is the difference between binomial and Poisson
5948,5948,When would the Poisson distribution be used instead of the binomial
5949,5949,What is the process of dividing each feature by its range called Brainly
5950,5950,What is the process of subtracting the mean of each variable from its variable called in machine learning
5951,5951,How are the parameters updated during gradient descent
5952,5952,How do you know if two categorical variables are related
5953,5953,How do you analyze the relationship between two variables
5954,5954,What is cumulative frequency distribution in statistics
5955,5955,What is considered a high t statistic
5956,5956,How do you know if a t test is significant
5957,5957,How are F and the t statistic related
5958,5958,Is the F value the test statistic
5959,5959,Is t test the same as test statistic
5960,5960,How do you do singular value decomposition
5961,5961,What is classification modeling
5962,5962,What does a classification model do in machine learning
5963,5963,What are classification models used for
5964,5964,What is classifier in machine learning
5965,5965,What is amortized inference
5966,5966,What does amortized mean
5967,5967,How do you find the margin of error when given the mean and standard deviation
5968,5968,How do you find the margin of error of a sample size
5969,5969,How do you calculate population standard deviation from sample standard deviation
5970,5970,How do you test a machine learning model
5971,5971,What is the difference between AdaBoost and XGBoost
5972,5972,What is the difference between gradient boosting and eXtreme gradient boosting
5973,5973,What is XGBoost eXtreme
5974,5974,What is the main difference between gradient boosting and other tree based methods
5975,5975,What is a classifier in ML
5976,5976,What is classification and regression in ML
5977,5977,How do you visualize two categorical variables
5978,5978,Which analysis is appropriate for categorical data
5979,5979,What is true about kernel in SVM
5980,5980,What is the use of kernel in SVM
5981,5981,What is the F ratio
5982,5982,What is F value and P value in Anova
5983,5983,What does F test tell you
5984,5984,Which one is the disadvantage of linear regression
5985,5985,What is the linear of advantages
5986,5986,Why do we log variables in regression
5987,5987,What is log econometrics
5988,5988,Why do we apply log transformation
5989,5989,Why do we log time series data
5990,5990,How do you find the Y in a linear regression
5991,5991,How do you write a prediction in a regression equation
5992,5992,How do you find y bar in linear regression
5993,5993,What are the types of events in probability
5994,5994,What are the types of events
5995,5995,Where is median filter in image processing
5996,5996,Is a median filter linear
5997,5997,How does SVM work in machine learning
5998,5998,What does the Wilcoxon rank sum test show
5999,5999,How do you rank up in Wilcoxon rank sum test
6000,6000,What is bimodal or multimodal data
6001,6001,Would you describe the histogram as unimodal bimodal or multimodal
6002,6002,What does bimodal data mean
6003,6003,Is neural network supervised or unsupervised
6004,6004,What are the two requirements for performing binary search
6005,6005,How do you establish the reliability of a questionnaire
6006,6006,How can you make sure the construct validity of a questionnaire
6007,6007,Is columnar database NoSQL
6008,6008,How do you decrease variance
6009,6009,What does common random numbers refer to
6010,6010,What is the difference between P value and probability
6011,6011,Is P value the probability
6012,6012,When can you use the normal distribution to approximate the Poisson distribution
6013,6013,What scale of measurement is Kelvin
6014,6014,Why moving average method is used
6015,6015,What is the benefit of using averages in forecasting
6016,6016,What are the advantages of moving average method
6017,6017,How and why does learning rate decay provide better convergence
6018,6018,What is necessary for machine learning
6019,6019,What is temporal reasoning in artificial intelligence
6020,6020,What is the meaning of variance in statistics
6021,6021,How do we calculate variance
6022,6022,Do you want a high or low coefficient of variation
6023,6023,How do you make a Gaussian filter in Matlab
6024,6024,What is hidden in hidden Markov model
6025,6025,What is gradient vanishing and exploding problem
6026,6026,Can random forest handle unbalanced data
6027,6027,Can decision trees handle imbalanced data
6028,6028,Did JJ Abrams make Lost
6029,6029,What did JJ Abrams do
6030,6030,How do I know when to reject or fail to reject the null hypothesis
6031,6031,What is data mining in simple terms
6032,6032,What is data mining and why is it important
6033,6033,What is a binomial logistic regression
6034,6034,Can you use logistic regression for regression
6035,6035,Why predictive modeling is important
6036,6036,Where can predictive analytics be used
6037,6037,What is the goal of statistical analysis
6038,6038,What is the purpose of studying statistics
6039,6039,What is the definition of a statistic
6040,6040,What is an instance in ML
6041,6041,What is an instance in a training dataset
6042,6042,What are instances in data
6043,6043,What are Autoencoders used for
6044,6044,What is used for dimensionality reduction
6045,6045,Is PCA and Autoencoder
6046,6046,What is the use of coefficient of variance
6047,6047,Under what circumstances is it necessary to use the coefficient of variation to compare relative variability between two or more distributions
6048,6048,What is heuristic function discuss with an example
6049,6049,How does statistical significance relate to correlation
6050,6050,What is the difference between correlation and significance
6051,6051,What does statistical significance mean
6052,6052,What will be the modeling technique used to predict a categorical variable in R
6053,6053,What is the use of convolution in image processing
6054,6054,How do you use convolution on a photo
6055,6055,What is orange in Anaconda
6056,6056,Which layer uses the kernel function in RBF network
6057,6057,Which algorithm is used to find RBF unit Centre
6058,6058,Which of the following loss functions is most sensitive to outliers
6059,6059,What are the two types of arguments
6060,6060,Why is it appropriate to fit a logistic regression model in this situation
6061,6061,What are the applications of logistic regression
6062,6062,What is the difference between stratified and cluster sampling
6063,6063,What is a class interval in statistics
6064,6064,How do you find the class interval in statistics
6065,6065,What is class size in statistics with example
6066,6066,How do you split an imbalanced dataset
6067,6067,What is T in multiple linear regression
6068,6068,Is systematic sampling probability sampling
6069,6069,How do you calculate population variance and standard deviation
6070,6070,What is a population variance in statistics
6071,6071,Why do averaging models
6072,6072,Which is a numerical criterion commonly used for model selection
6073,6073,How do you calculate degrees of freedom for Anova
6074,6074,How do you calculate sample size from degrees of freedom
6075,6075,How do you find the degrees of freedom within and between
6076,6076,How do you do Poisson approximation
6077,6077,How do you calculate normal approximation
6078,6078,Under what condition Poisson distribution tends to normal distribution
6079,6079,Why approximate binomial distribution is normal
6080,6080,What is pseudo entropy
6081,6081,How do you calculate relative entropy
6082,6082,How do you determine omitted variable bias
6083,6083,How do you create a classification model of an image
6084,6084,What is the formula of harmonic mean
6085,6085,What is the value of lambda
6086,6086,How do you interpret Lambda statistics
6087,6087,What is batch size in deep learning
6088,6088,How many samples do you need for deep learning
6089,6089,What is regression equation of Y on X
6090,6090,What is the value of regression coefficient of Y on X
6091,6091,What do you mean by Perceptron
6092,6092,What is Perceptron example
6093,6093,What is Perceptron in neural network Mcq
6094,6094,What is cross sectional analysis
6095,6095,What is the difference between cross sectional and panel data
6096,6096,How do I calculate the correlation coefficient
6097,6097,What is the formula of Karl Pearson coefficient of correlation
6098,6098,What is an odds ratio of 2
6099,6099,What does an odds ratio of 0.4 mean
6100,6100,How is Fleiss kappa calculated
6101,6101,How do you calculate Cohen's kappa in Excel
6102,6102,What is Bernoulli distribution used for
6103,6103,What is the difference between binomial and Bernoulli distribution
6104,6104,What are the two key characteristics of the Bernoulli distribution
6105,6105,How do I export data from twitter
6106,6106,How do I export from twitter to excel
6107,6107,How do I export data from twitter analytics
6108,6108,Is LDA unsupervised learning
6109,6109,Is LDA a clustering algorithm
6110,6110,What is multilevel modeling approach
6111,6111,What is a multi level analysis
6112,6112,How do you define a tensor in TensorFlow
6113,6113,How do you define a tensor in Python
6114,6114,What are data points
6115,6115,Does normalization improve performance
6116,6116,Why is normalization important in machine learning
6117,6117,Is Max pooling shift invariant
6118,6118,Does Max pooling affect backpropagation
6119,6119,What is the meaning of linear model
6120,6120,What is linear forecasting model
6121,6121,What is alternative form reliability
6122,6122,Is multinomial distribution continuous
6123,6123,Are binomial distributions independent
6124,6124,What is multi agent RL
6125,6125,How do you sample from a given distribution
6126,6126,What is the sample distribution of the sample mean
6127,6127,What does it mean to sample
6128,6128,What does it mean to sample data
6129,6129,What happens to t distribution when sample size increases
6130,6130,How does sample size affect t test
6131,6131,How does sample size affect distribution
6132,6132,What type of sample size is used for t distribution
6133,6133,How do you do a univariate analysis
6134,6134,Which data analysis tools can be used to Analyse univariate data
6135,6135,What is a common way to show univariate data
6136,6136,How do you know if a variable is significant in multiple regression
6137,6137,How do you know if a regression model is significant
6138,6138,How do you know if an independent variable is statistically significant
6139,6139,What is multivariable optimization
6140,6140,What is multivariate function
6141,6141,How do you optimize two variables
6142,6142,Which algorithm adopts the principle of optimality
6143,6143,What are the properties of random sampling
6144,6144,What is the main objective of using stratified random sampling
6145,6145,What are the two types of stratified random sampling
6146,6146,How is stratified random sampling used in research
6147,6147,When to use one sided or two sided test
6148,6148,What is the difference between a one tailed and two tailed hypothesis test
6149,6149,What is the difference between a one sided and a two sided alternative hypothesis
6150,6150,What type of variable is the dependent variable
6151,6151,How do you find the trend in a time series data
6152,6152,What is the trend
6153,6153,What's the difference between a trend and seasonality
6154,6154,What is the difference between mad and MSE
6155,6155,How hierarchical clustering is used
6156,6156,Which of the following is hierarchical clustering algorithm
6157,6157,What is meant by least square method
6158,6158,How does weighted regression work
6159,6159,What is the correct way to preprocess the data
6160,6160,What is data preprocessing in R
6161,6161,What is preprocessing of dataset
6162,6162,How do you create a dataset in R
6163,6163,Are events A and B statistically independent
6164,6164,What is P A or B if A and B are independent
6165,6165,What is PR B if A and B are independent events
6166,6166,What is a variable distinguish between a discrete and continuous variable with example
6167,6167,What is the uses of range
6168,6168,Why do we calculate range in statistics
6169,6169,What is Range function
6170,6170,What is Artificial Intelligence meaning
6171,6171,What is Artificial Intelligence explain with example
6172,6172,What is data classification in machine learning
6173,6173,How do you classify machine learning
6174,6174,What are the different types of classification of data
6175,6175,How do you do classification
6176,6176,How do you know which regression to use
6177,6177,Is machine learning better than statistics
6178,6178,Does machine learning use statistics
6179,6179,Is machine learning the same as predictive analytics
6180,6180,What is multi regression analysis
6181,6181,What is supervised and unsupervised classification
6182,6182,What is the difference between supervised and unsupervised
6183,6183,How do you do feature extraction
6184,6184,How features are extracted from an image using CNN
6185,6185,What are the features of an image
6186,6186,What increases entropy
6187,6187,What form of energy is commonly associated with entropy
6188,6188,Does kinetic energy increase entropy
6189,6189,What happens to energy when entropy increases
6190,6190,How do you find the mode of an unequal class interval
6191,6191,How do you find the mode of a class interval
6192,6192,Why is it called logistic function
6193,6193,What is the difference between exponential function and logistic function
6194,6194,What is clustering and its applications
6195,6195,What is the principle of clustering
6196,6196,How many hidden layers are there in this neural network
6197,6197,How do you calculate alpha using CAPM
6198,6198,What is Alpha in CAPM
6199,6199,How is alpha measured
6200,6200,Where do we use eigenvalues Mcq
6201,6201,How do you identify a linear model
6202,6202,What is linear and nonlinear data in machine learning
6203,6203,What is a variational parameter
6204,6204,What is unbiased variance
6205,6205,What is unbiased sample variance
6206,6206,Why is the unbiased estimator of variance used
6207,6207,Can you have multiple dependent variables in regression
6208,6208,How do you create a multivariable regression model
6209,6209,What's a systematic random sample
6210,6210,What does sparsity mean
6211,6211,What is sparsity of data
6212,6212,What is a trimmed mean in statistics
6213,6213,What is ridge regression in machine learning
6214,6214,How does Arima model work
6215,6215,How AI is used in cybersecurity
6216,6216,How does AI improve cyber security
6217,6217,What is Cyber AI
6218,6218,What is frequency response of a filter
6219,6219,What does low pass frequency do
6220,6220,What are the three response ranges of a low pass filter
6221,6221,What does the frequency response of a filter measure or indicate
6222,6222,What is the PA and B if A and B are mutually exclusive
6223,6223,What is the cost function of logistic regression
6224,6224,When can binomial be approximated by normal
6225,6225,What is the sample size you need to approximate a binomial distribution with a normal distribution
6226,6226,Does XFL have different rules
6227,6227,How is XFL different
6228,6228,How do you find P value from T
6229,6229,How do you define hidden layers
6230,6230,What is frequency in image processing
6231,6231,What does frequency mean
6232,6232,What is FFT of an image
6233,6233,What is frequency content
6234,6234,Is recommender system supervised or unsupervised
6235,6235,Is collaborative filtering an algorithm
6236,6236,What does and and/or mean in probability
6237,6237,Is and times in probability
6238,6238,Is PDF derivative of CDF
6239,6239,Is the CDF the integral of the PDF
6240,6240,How do you derive cumulative distribution function
6241,6241,How do I get random variables in PDF
6242,6242,For what examples could a binomial distribution be used
6243,6243,What is a matrix simple definition
6244,6244,What does matrix mean in slang
6245,6245,What does being in the matrix mean
6246,6246,How do you measure focus
6247,6247,How do you measure concentration and attention
6248,6248,How do you measure visual attention
6249,6249,What are the dangers of group think
6250,6250,What is aggressive groupthink
6251,6251,Is groupthink positive or negative
6252,6252,How do you split a matrix into Submatrices in Matlab
6253,6253,What is rank deficient matrix
6254,6254,What is low rank representation
6255,6255,What is rank in matrices
6256,6256,What is a two sample t test example
6257,6257,What is a two sided t test
6258,6258,What are the two types of t tests
6259,6259,Why do we use distributions in statistics
6260,6260,How do you find the probability of a random event
6261,6261,What is the definition of event in probability
6262,6262,Do you want a high or low adjusted R squared
6263,6263,What does R squared value tell us
6264,6264,What is an acceptable adjusted R squared value
6265,6265,What is the meaning of Markov
6266,6266,What are the features of image processing
6267,6267,What is stratified sampling explain with example
6268,6268,How do you do stratified random sampling
6269,6269,Which filter is referred to as a low pass filter
6270,6270,What is blob detection in image processing
6271,6271,What is blob analysis in Matlab
6272,6272,Are any of the measures of dispersion among the range the variance and the standard deviation resistant
6273,6273,Is dispersion the same as variance
6274,6274,Is variance a relative measure of dispersion
6275,6275,What is the range of variance
6276,6276,What does a relative frequency graph show
6277,6277,What is L1 and L2 Penalty
6278,6278,What is a 2 norm
6279,6279,How is Mnist dataset created
6280,6280,What is telemetry analytics
6281,6281,How do you select important variables while working on a data set
6282,6282,What is non linear classifier
6283,6283,Why is kNN nonlinear
6284,6284,How do you control variables in an experiment
6285,6285,Why use Softmax vs sigmoid
6286,6286,What is the difference between discrete and continuous variables under what circumstances would each be applicable
6287,6287,What is the difference between discrete and continuous quantitative variables
6288,6288,What is multidimensional data
6289,6289,What are the types of clustering algorithms
6290,6290,Which of the following is clustering algorithm
6291,6291,What is homogeneous data type
6292,6292,What is homogenous population
6293,6293,How can I improve my reasoning
6294,6294,Where is an IDS IPS located on a network
6295,6295,Would you use a one tailed or two tailed test Why
6296,6296,Why would you use a one tailed test
6297,6297,How do you know if its a one tailed or two tailed test
6298,6298,What is the difference between a feedforward neural network and recurrent neural network
6299,6299,What is the odds ratio in logistic regression SPSS
6300,6300,What can statistical analysis be used for
6301,6301,Where is statistics used in everyday life
6302,6302,What type of regression is used when the dependent variable is dichotomous
6303,6303,What type of regression is used when the dependent variable is binary
6304,6304,What is dichotomous dependent variable
6305,6305,Why use root mean squared RMSE over mean squared error MSE
6306,6306,What is RMSE root mean square error )? Why RMSE is important when building a model
6307,6307,Do neural networks need feature scaling
6308,6308,Does loss function need to be differentiable
6309,6309,What is a factor in factor analysis
6310,6310,What assumptions should be fulfilled to use factor analysis
6311,6311,What is factor analysis in SPSS
6312,6312,What is sentiment analysis and how it works
6313,6313,What are the steps in sentiment analysis
6314,6314,What is a good sentiment score
6315,6315,How the data is Analysed using sentiment analysis
6316,6316,What is the difference between a sample distribution and a sampling distribution
6317,6317,What happens to the mean of the sampling distribution of the sample means when the sample size increases
6318,6318,Why logarithmic function is important
6319,6319,What are natural logarithms used for
6320,6320,Which type of problems can be solved by unsupervised learning
6321,6321,What is unsupervised learning good for
6322,6322,What is example of unsupervised learning
6323,6323,What is time series data
6324,6324,What is the rejection region
6325,6325,What is SGD deep learning
6326,6326,What is the CDF of a gamma distribution
6327,6327,How do you find the MLE of Gamma distribution
6328,6328,What type of data is Anova
6329,6329,Is pattern recognition a sign of intelligence
6330,6330,Can Bayesian model averaging be done with a large amount of predictors
6331,6331,Why is the Zellner GG Prior useful in Bayesian model averaging
6332,6332,What type of study is a randomized controlled trial
6333,6333,Is randomized controlled trial quantitative or qualitative
6334,6334,Is a randomized controlled trial an observational study
6335,6335,What is an optimal control problem
6336,6336,How does Lqr work
6337,6337,Why is logistic regression better than linear regression
6338,6338,Why do we use logistic regression
6339,6339,Why logistic regression is not used in linear regression
6340,6340,What is the main difference between linear regression and logistic regression
6341,6341,What is SRG batch Allen
6342,6342,Why does Lstm solve vanishing gradient
6343,6343,What is state in Lstm
6344,6344,Is a null hypothesis two tailed
6345,6345,Is null hypothesis H0 or H1
6346,6346,How do you know if a hypothesis is one tailed or two tailed
6347,6347,What is a false negative example
6348,6348,Which network has the highest accuracy on Imagenet dataset
6349,6349,How do you visualize a graph in TensorBoard
6350,6350,What do you do when a null hypothesis is rejected
6351,6351,When you reject the null hypothesis in regression What does this imply
6352,6352,How should you interpret a decision that rejects the null hypothesis
6353,6353,What makes a system LTI
6354,6354,What does unsupervised learning mean
6355,6355,What is supervised and unsupervised in machine learning
6356,6356,How do you find the mean of a discrete probability distribution
6357,6357,What is the expected value of this discrete probability distribution
6358,6358,What is the mean or expected value of the probability distribution
6359,6359,How do you find the expected value in probability
6360,6360,What is unit impulse function
6361,6361,How do you find impulse function
6362,6362,What is unit impulse function and unit step function
6363,6363,What is impulse function in Matlab
6364,6364,Why is sampling method important
6365,6365,How do you find the sample size of a known population
6366,6366,How do you find the sample mean given a confidence interval
6367,6367,How do we calculate sample size
6368,6368,Why K means unsupervised
6369,6369,Why is clustering called unsupervised learning
6370,6370,Which component is used for infusing non linearity in neural networks
6371,6371,How does ReLU introduce non linearity
6372,6372,What is homogeneity in stats
6373,6373,What does a regression tell us
6374,6374,What is the objective of regression analysis
6375,6375,How do you find the probability of a posterior
6376,6376,How do you control a variable in multiple regression
6377,6377,What does controlling for a variable mean in statistics
6378,6378,Why do we control for variables
6379,6379,When and why are unbiased estimators preferred over biased estimates
6380,6380,Can a biased estimator be efficient
6381,6381,What does it mean if a statistic is unbiased
6382,6382,What is zero based sampling
6383,6383,What is sampling plan for inspection
6384,6384,Why do things follow a normal distribution
6385,6385,Does my data follow a normal distribution
6386,6386,What's the difference between bagging and boosting
6387,6387,What does bagging mean in machine learning
6388,6388,What is percentage of variance explained
6389,6389,What does percent variation mean
6390,6390,What is the correct null hypothesis for the Kruskal Wallis test
6391,6391,What does the Kruskal Wallis test tell you
6392,6392,What is the H value in Kruskal Wallis
6393,6393,How do you find the CDF from a PDF continuously
6394,6394,What is the name of a PDF dealing with a continuous variable
6395,6395,What are the techniques of machine learning
6396,6396,How many types are available in machine learning
6397,6397,How do you do a discriminant analysis in SPSS
6398,6398,What is discriminant analysis in statistics
6399,6399,Where is beta distribution used
6400,6400,What is the mode of a beta distribution
6401,6401,What is the use of Poisson distribution
6402,6402,Why do we use coefficient of variation
6403,6403,How do you analyze coefficient of variation
6404,6404,What does variance tell us in statistics
6405,6405,What is Modelling in data analysis
6406,6406,What statistical method is used for analysis of data
6407,6407,What is the purpose of statistical Modelling
6408,6408,How do you calculate false negative sensitivity and specificity
6409,6409,How do you find the sensitivity of a test
6410,6410,Which is the difference between probabilistic distribution and distribution function
6411,6411,What does it mean when the skewness is positive
6412,6412,When dealing with categorical variables in the context of a multivariate regression we
6413,6413,Can you have 2 dependent variables
6414,6414,Is the dependent variable the one you keep the same
6415,6415,What is agents in AI
6416,6416,What is an agent in AI Mcq
6417,6417,How do I know how many topics in LDA
6418,6418,What is Markov analysis used for
6419,6419,What are the advantages and disadvantages of sampling methods
6420,6420,Is there bias in stratified sampling
6421,6421,What is RDD partitioning
6422,6422,How does spark repartition work
6423,6423,What is a cross sectional test
6424,6424,How do I find the value of a tensor
6425,6425,How do you find the value of Tensorflow variable
6426,6426,How do you get a tensor value in keras
6427,6427,How do you do a demographic analysis in SPSS
6428,6428,What is the purpose of analytics
6429,6429,Why is analytics so important
6430,6430,What is distributed representation of words
6431,6431,What is word embedding in machine learning
6432,6432,Why do we remove Multicollinearity
6433,6433,What do you do with correlated features
6434,6434,Does logistic regression assume conditional independence
6435,6435,What are assumptions of logistic regression
6436,6436,Which is not an assumption of logistic regression
6437,6437,What is the dependent variable in logistic regression
6438,6438,What is the difference between sample and population in statistics
6439,6439,How do you define a sampling frame
6440,6440,What are the requirements of learning laws in neural network
6441,6441,How do you interpret F results in Excel
6442,6442,What is significance F in regression
6443,6443,What are the uses of robots
6444,6444,Why are robots important
6445,6445,How do you explain a confusion matrix
6446,6446,Can linear regression be used for prediction
6447,6447,What is linear regression in forecasting
6448,6448,What is linear regression good for
6449,6449,Is linear regression appropriate
6450,6450,What are the applications of discriminant analysis
6451,6451,Is sample variance unbiased
6452,6452,Which filter is nonlinear
6453,6453,Is Gaussian filter a linear filter
6454,6454,Is root mean square the same as standard deviation
6455,6455,Is root mean square error the same as standard error
6456,6456,What is root mean square standard deviation
6457,6457,What is the difference between the mean and standard deviation
6458,6458,What is the difference between binomial distribution and hypergeometric distribution
6459,6459,What's the difference between geometric and binomial distribution
6460,6460,What does hypergeometric mean
6461,6461,What do you mean by Markov chains
6462,6462,What is difference between classification and prediction
6463,6463,What is prediction in artificial intelligence
6464,6464,Does data analysis require coding
6465,6465,What is the meaning of extrapolation method
6466,6466,How do you do extrapolation
6467,6467,What is the problem with extrapolation
6468,6468,How do you find the probability of a normal distribution
6469,6469,What is the purpose of the regression equation
6470,6470,What are decision trees commonly used for in machine learning
6471,6471,What is a decision tree and where to use it
6472,6472,What is the relationship between binomial distribution and Poisson distribution
6473,6473,Is Poisson a special case of negative binomial
6474,6474,What type of activation function does ReLU have
6475,6475,How do you use extended Kalman filters
6476,6476,What is H matrix in Kalman filter
6477,6477,What is the difference between multivariable and multivariate
6478,6478,What is the difference between multivariate analysis and multiple regression
6479,6479,What is the difference between OLS and GLS
6480,6480,Why we use OLS model
6481,6481,How do you prove identically distributed
6482,6482,What does it mean if two variables are independently distributed
6483,6483,What does IID mean in probability
6484,6484,Is linear algebra before or after calculus
6485,6485,Why is linear algebra after calculus
6486,6486,How do you measure the accuracy of an Arima model
6487,6487,How do you find the accuracy of a time series
6488,6488,How do you interpret Arima results
6489,6489,What is deep transfer learning
6490,6490,What is transfer learning used for
6491,6491,What is stimulus generalization
6492,6492,Which is an example of stimulus generalization quizlet
6493,6493,What is stimulus generalization in ABA
6494,6494,What is dropout layer
6495,6495,What is the purpose of a dropout layer
6496,6496,What is dropout method
6497,6497,What is dropout rate in neural network
6498,6498,What are the assumptions of the binomial distribution
6499,6499,What is the difference between logistic regression and linear regression
6500,6500,Is logistic regression is a regression
6501,6501,What are CNN filters
6502,6502,How do CNN filters work
6503,6503,How do you choose a convolution filter
6504,6504,What are the types of time series
6505,6505,How do you read time series data
6506,6506,Is population standard deviation the same as sample
6507,6507,How do you know when to use a sample or a population
6508,6508,Why is sample standard deviation smaller than population standard deviation
6509,6509,Which of the following is a learning algorithm to predict a numeric quantity
6510,6510,What is cluster detection
6511,6511,Why Clustering is used
6512,6512,How do you solve multi class classification
6513,6513,How do you solve classification problems
6514,6514,What is a high cosine similarity
6515,6515,How do you interpret cosine similarity
6516,6516,What is Data Regression
6517,6517,How do you know when to reject the null hypothesis
6518,6518,What does it mean to reject a hypothesis
6519,6519,How do you reject the null hypothesis in Z test
6520,6520,Is the probability of rejecting a hypothesis when it is correct
6521,6521,Does SLI really make a difference
6522,6522,How much faster is SLI
6523,6523,What is random number method
6524,6524,What is AUC curve in machine learning
6525,6525,What does AI actually mean
6526,6526,What is the IQ of AI
6527,6527,What are the difficulties in applying gradient descent
6528,6528,What are the steps for using gradient descent algorithm
6529,6529,Which among the following is the correct formula for evaluating the quality loss coefficient k
6530,6530,What does a non parametric test do
6531,6531,How do you find cosine similarity
6532,6532,How do you find the cosine between two points
6533,6533,How do you define null hypothesis and alternative hypothesis
6534,6534,What is the relationship between machine learning deep learning and artificial intelligence explain
6535,6535,What are the different types of algorithms in machine learning
6536,6536,How does multiple regression control for variables
6537,6537,How is regression analysis used in forecasting
6538,6538,Will deep learning replace machine learning
6539,6539,Are artificial intelligence machine learning and deep learning same
6540,6540,What type of machine learning is deep learning
6541,6541,Which of the following is an example of a discrete random variable
6542,6542,What is the binomial probability formula
6543,6543,Why is bootstrapping used
6544,6544,Why we require bootstrapping whether it is suitable for large dataset
6545,6545,What is linear regression and why is it used
6546,6546,What does fit model mean
6547,6547,How do you fit a data model
6548,6548,What is Matplotlib in Python
6549,6549,What is the difference between Matplotlib and Pyplot
6550,6550,Where is Matplotlib used
6551,6551,What are statistical features
6552,6552,What is the meaning of feature extraction
6553,6553,How linear algebra is used in machine learning
6554,6554,Is linear algebra required for machine learning
6555,6555,Is Khan Academy good for linear algebra
6556,6556,What does the Dirac delta function do
6557,6557,What is the Laplace transform of the Dirac delta function
6558,6558,Is Dirac delta function even
6559,6559,What is variance and how is it calculated
6560,6560,How do I use hierarchical clustering in R
6561,6561,What is the R function to divide a dataset into K clusters
6562,6562,Which of the following function is specifically used to plot clusters in R
6563,6563,What are the properties of normal distribution
6564,6564,What is an example of real time application
6565,6565,What are the examples of real time system
6566,6566,What are the 2 types of real time systems
6567,6567,What is meant by AIC
6568,6568,Why do we use inferential statistics
6569,6569,How do I extract the features of an image
6570,6570,What is feature vector of an image
6571,6571,How does a FFT work
6572,6572,What is the purpose of maximum likelihood estimation
6573,6573,What is the purpose of partition
6574,6574,What is an example of factor analysis
6575,6575,Does Multicollinearity affect decision tree
6576,6576,Why does a correlation not imply causation
6577,6577,How do you prove correlation is causation
6578,6578,Who said Correlation does not imply causation
6579,6579,What is variance and bias in machine learning
6580,6580,What is the difference between bias and variability
6581,6581,How can I improve my deep learning performance
6582,6582,What can be done with deep learning
6583,6583,Which loss function is used for multi class classification
6584,6584,What is prediction machine learning
6585,6585,What is predictive algorithm
6586,6586,Is gradient descent machine learning
6587,6587,Which of the following is a variant of gradient descent algorithm
6588,6588,What is modal learning
6589,6589,What is data modality
6590,6590,What is multimodal classification
6591,6591,How do you interpret R squared value
6592,6592,What is inductive inference in machine learning
6593,6593,What is logic programming in AI
6594,6594,How does facial recognition algorithm work
6595,6595,What is big data analytics in simple words
6596,6596,What is the use of big data analytics
6597,6597,What is the difference between big data and data analytics
6598,6598,Why do we use ensemble learning
6599,6599,What is entropy in Huffman code
6600,6600,What are the components of statistical inference
6601,6601,What are the branches of statistical inference
6602,6602,What do you mean by prior probability
6603,6603,What is a prior in machine learning
6604,6604,How do you analyze a residual plot
6605,6605,What does a positive residual mean
6606,6606,How do you find the posterior distribution of theta
6607,6607,What posterior means
6608,6608,How do you make a probability distribution histogram in Excel
6609,6609,How do you construct a probability distribution
6610,6610,What is logit function in regression
6611,6611,What is iterator in python
6612,6612,How do you learn reinforcement
6613,6613,How long does it take to learn reinforcement learning
6614,6614,Is reinforcement learning hard to learn
6615,6615,What are the advantages of median filter
6616,6616,Is Laplacian filter linear
6617,6617,What is independent event in probability
6618,6618,What are dependent and independent events in probability
6619,6619,What is policy in reinforcement learning
6620,6620,Why we need sigmoid activation function What are the major drawbacks of it
6621,6621,What does the sigmoid function do
6622,6622,What is the problem with the Tanh and sigmoid activation function
6623,6623,What is ensemble learning what is the difference between bagging and boosting
6624,6624,Is bagging an ensemble method
6625,6625,How do you create a correlation
6626,6626,How do you find the correlation between two independent variables
6627,6627,How do you determine correlation
6628,6628,How are categorical variables used in linear regression
6629,6629,What is step size parameter
6630,6630,What is the difference between steps and epochs
6631,6631,What are the steps in machine learning process
6632,6632,How do you handle large data sets
6633,6633,How do you analyze a large set of data
6634,6634,How do I train my dataset
6635,6635,How do you train inductive reasoning
6636,6636,How do you understand inductive reasoning
6637,6637,How do you do well in logical reasoning test
6638,6638,What is the objective of n gram models
6639,6639,How do you know if two samples are the same population
6640,6640,How do I compare two distributions in Excel
6641,6641,How would you determine whether the difference between the two populations is statistically significant
6642,6642,Can Knn be used for both classification and regression
6643,6643,What is dimensionality reduction problem why is it necessary in machine learning
6644,6644,What is dimensionality reduction in data mining
6645,6645,What data type does the input () function return
6646,6646,What is the functionality of input () and output () functions
6647,6647,What makes a variable normally distributed
6648,6648,How do you prove normal distribution
6649,6649,Why do we create dummy variables in logistic regression
6650,6650,How do you interpret dummy variables in regression
6651,6651,What power spectral density tells us
6652,6652,Why are neural networks used
6653,6653,What is a general function of neural networks
6654,6654,What are neural networks good at
6655,6655,Is spaCy better than NLTK
6656,6656,What is spaCy package
6657,6657,Is spaCy deep learning
6658,6658,What is estimator and estimate
6659,6659,What is estimator in regression
6660,6660,Is an estimator a statistic
6661,6661,How do you calculate sample size for a Randomised control trial
6662,6662,When would you use a randomized controlled trial
6663,6663,What is reagent error
6664,6664,What is method error
6665,6665,What is logistic regression algorithm in machine learning
6666,6666,What is logistic regression ML
6667,6667,What is weak learning
6668,6668,What is a weak learner in ensemble learning
6669,6669,Which situation is an example of bivariate data
6670,6670,What is normalization and explain its types
6671,6671,What do you mean by normalization explain
6672,6672,What is normalization explain the need for normalization
6673,6673,What is called normalization
6674,6674,Can decision trees be used for binary classification tasks
6675,6675,Is gradient descent a loss function
6676,6676,What is a Optimizer
6677,6677,How do you find similar matrices
6678,6678,Is Matrix A similar to Matrix B
6679,6679,Do similar matrices have the same null space
6680,6680,What is imbalanced data in machine learning
6681,6681,What are the advantages of multi layer Perceptron
6682,6682,What is an attention mechanism
6683,6683,How does attention work deep learning
6684,6684,What is difference between decision tree and random forest
6685,6685,How does a neural network work
6686,6686,What is neural network programming
6687,6687,What is meant by training a neural network
6688,6688,What is the difference between factor analysis and cluster analysis
6689,6689,How do you find lambda in a Poisson distribution in Excel
6690,6690,What is the variance of a Poisson distribution with mean λ
6691,6691,What is lambda in probability
6692,6692,How do you differentiate between supervised and unsupervised learning
6693,6693,What is the difference between supervised and semi supervised learning
6694,6694,What is word2vec size
6695,6695,How do you do the insulin correction factor
6696,6696,What is the difference between correction and correction factor
6697,6697,How do you apply the finite population correction factor
6698,6698,For what purpose is correction factor used in frequency distribution
6699,6699,What is the difference between L1 and L2 norm
6700,6700,What is loss in model training
6701,6701,What is Word2Vec explain with example
6702,6702,Is Word2Vec a language model
6703,6703,What does interrater reliability measure
6704,6704,What is inter rater reliability used for
6705,6705,What is the difference between interrater reliability and interrater agreement
6706,6706,What is Term term Matrix
6707,6707,Why is document term matrix useful
6708,6708,Is multiple linear regression better than simple linear regression
6709,6709,What is a multi linear regression
6710,6710,When should we use multiple linear regression
6711,6711,Is Q learning on policy or off policy
6712,6712,How many variables does a chi square goodness of fit test have
6713,6713,How many variables can you test with the test of independence
6714,6714,How do you interpret chi square goodness of fit results
6715,6715,How do you do multi stage cluster sampling
6716,6716,What are clusters in statistics
6717,6717,Can logistic regression be used for multiclass classification problems
6718,6718,For what type of problems logistic regression is used
6719,6719,How is mean average precision calculated
6720,6720,What does mean average precision mean
6721,6721,How do you calculate mAP for object detection
6722,6722,What is discrete and continuous random variable
6723,6723,What is meant by discrete variable
6724,6724,What cross validation technique would you use on a time series data set
6725,6725,Which method uses time series data
6726,6726,What is training dataset
6727,6727,What is training set and test set in a machine learning model how much data will you allocate for your training validation and test sets
6728,6728,Why is it important to keep testing and training sets separate
6729,6729,Why do we log variables
6730,6730,Why do we use natural log in regression
6731,6731,What does taking a logarithm do
6732,6732,How do you identify data clusters
6733,6733,What are clusters in a data set
6734,6734,What is difference between SD and SE
6735,6735,What is standard error difference
6736,6736,What is the difference between sampling error and standard error
6737,6737,What are the two types of data
6738,6738,What are the two types of quantitative variables
6739,6739,Can E Learning replace classroom learning
6740,6740,Will E Learning replace face to face learning
6741,6741,What are the different types of decision trees
6742,6742,What is meant by probability in a decision tree
6743,6743,When can you use divergence theorem
6744,6744,Which law is applicable for divergence theorem
6745,6745,How do you verify the divergence theorem
6746,6746,Why do we use divergence
6747,6747,Which is a negatively skewed distribution
6748,6748,What is an example of skewed distribution
6749,6749,What is an agent in AI Sanfoundry
6750,6750,Which Below are types of agents in artificial intelligence
6751,6751,What are the uses of TensorFlow
6752,6752,When should I use TensorFlow
6753,6753,How does Sobel operator work
6754,6754,What is the advantage of using Sobel operator
6755,6755,Which of the following is are Sobel operator
6756,6756,How do you describe the sampling distribution of the mean
6757,6757,How do you find the sample mean of X Bar
6758,6758,In what ways are parameters similar to and different from ordinary variables
6759,6759,What is the difference between a variable and an unknown
6760,6760,What does the kappa statistic take into account
6761,6761,What is Kappa in logistic regression
6762,6762,What is the difference between function and objectives
6763,6763,What are the three types of random sampling
6764,6764,What are some examples of random sampling
6765,6765,How many types of propositions are there
6766,6766,What is Proposition and types
6767,6767,What are the two main parts of a conditional proposition
6768,6768,How is Bayes theorem used in machine learning
6769,6769,How does Bayesian belief network help in uncertainty measurement
6770,6770,What is logistic regression commonly used for
6771,6771,How do you calculate response rate
6772,6772,What is considered a good response rate
6773,6773,How do you calculate non response rate
6774,6774,When would you use a convolutional neural network
6775,6775,What is ICA quality
6776,6776,What is ICA in machine learning
6777,6777,Which split is most significant in creating a decision tree
6778,6778,What is splitting attribute
6779,6779,What does IID mean
6780,6780,What is the type of SVM learning
6781,6781,Can SVM be used for unsupervised learning
6782,6782,What is instance based learning in machine learning
6783,6783,Is Knn instance based learning
6784,6784,What are the units in Lstm
6785,6785,What is a training set in machine learning
6786,6786,What do singular values represent
6787,6787,What does it mean to demean a variable
6788,6788,What does it mean to demean data
6789,6789,What is a fixed effect in regression
6790,6790,Are fixed effects dummy variables
6791,6791,How does CNN differ from Ann
6792,6792,Which neural network is best
6793,6793,How do you find the mean of a given probability distribution
6794,6794,How do you find the mean of a probability distribution on a TI 84
6795,6795,What is the mean of the distribution
6796,6796,Is a correlation of 0.6 stronger than a correlation of
6797,6797,Is a correlation coefficient of 0.7 strong
6798,6798,What is image processing in machine learning
6799,6799,Is image processing part of artificial intelligence
6800,6800,Is image processing part of deep learning
6801,6801,What are the parts of machine learning
6802,6802,What is gradient explosion
6803,6803,How do you clip gradients in Tensorflow
6804,6804,How do you find the critical value of t test
6805,6805,What is the T critical value two tailed and what does it tell you
6806,6806,What is the use of eigenvalues and eigenvectors
6807,6807,What is Eigen value and eigen vector why is it used
6808,6808,What is the role of eigenvectors and eigenvalues in PCA
6809,6809,What is the relationship between the Bernoulli and binomial distributions
6810,6810,How does the Bernoulli random variable relate to the binomial and negative binomial distributions
6811,6811,Is binomial distribution is closely related to the Bernoulli distribution justify your answer
6812,6812,What is Bernoulli distribution in statistics
6813,6813,How do you tell if a standard deviation is high or low
6814,6814,What is considered a high standard deviation
6815,6815,How do you know if a random variable is independent
6816,6816,Is logistic regression same as classification
6817,6817,What is the best sorting algorithm to choose
6818,6818,What are the factors to be considered in deciding a sorting algorithm
6819,6819,Which sorting algorithm is used when
6820,6820,What causes a small p value
6821,6821,What does P value stand for in statistics
6822,6822,What exactly is a neural network
6823,6823,What are the types of neural networks
6824,6824,Who introduced deep learning
6825,6825,When was machine learning first used
6826,6826,Where is Deep learning used
6827,6827,Why is quota sampling used
6828,6828,What is the difference between convenience sampling and quota sampling
6829,6829,Why do we use cluster analysis
6830,6830,How do you run a cluster analysis
6831,6831,What does posterior probability mean
6832,6832,What is posteriori classification
6833,6833,What is HMM in ML
6834,6834,What is hidden Markov model in NLP
6835,6835,How the weights are updated in Delta Rule
6836,6836,Does the sample size affect the mean of all possible sample means
6837,6837,What is affected by sample size
6838,6838,How do I import Mnist dataset in keras
6839,6839,How do I load a Mnist dataset
6840,6840,How do I load data into keras
6841,6841,How do you interpret standard error in regression
6842,6842,What is a good standard error in regression
6843,6843,What does standard error of mean tell us
6844,6844,What does it mean to say there is error in our regression
6845,6845,What is the purpose of using standard deviation
6846,6846,What does gamma mean in SVM
6847,6847,What does C mean in SVM
6848,6848,What is gamma parameter tells in SVM Mcq
6849,6849,Why LDA is generative model
6850,6850,What is the importance of logarithmic functions
6851,6851,How do you use logarithms
6852,6852,What do you mean by stochastic
6853,6853,What is a probability function
6854,6854,What is AI and how does it work
6855,6855,How is AI used in technology
6856,6856,Which measure of variation is most reliable
6857,6857,Why do we prefer standard deviation over variance
6858,6858,Is a higher coefficient of variation better
6859,6859,Why do we convert categorical data to numeric
6860,6860,How do you determine random data
6861,6861,How do you know if a sample is random
6862,6862,What makes something random
6863,6863,How does attention work
6864,6864,How do you find P value from Z test statistic
6865,6865,How do you find the P value with test statistics and degrees of freedom on a TI 84
6866,6866,What is the difference between test statistic and p value
6867,6867,What is meant by high dimensional data
6868,6868,Is zero an element of a set
6869,6869,What is the element of 0
6870,6870,Is Regression a supervised learning
6871,6871,Is Regression a supervised learning explain why
6872,6872,Is Regression a machine learning
6873,6873,What is the difference between supervised learning and regression
6874,6874,What is meant by bivariate data
6875,6875,How do you do a bivariate analysis
6876,6876,What is the difference between using both tails versus one tail of the sampling distribution in terms of the region of rejection and the critical value
6877,6877,What is meant by a marginal distribution
6878,6878,What is the major advantage of using random or probability sampling
6879,6879,What is the best sampling technique and why
6880,6880,Why do we use the t distribution instead of the normal distribution
6881,6881,What is t distribution used for
6882,6882,What is batch in machine learning
6883,6883,What is mini batch size in deep learning
6884,6884,Where is predictive analytics used
6885,6885,What can we learn from predictive modeling
6886,6886,What is interaction effect in Anova
6887,6887,What is the interaction effect
6888,6888,What is the main effect in two way Anova
6889,6889,What comes under bivariate analysis
6890,6890,Is Chi square a bivariate analysis
6891,6891,Which plot can be used to detect outliers in machine learning
6892,6892,Can a box plot be used to detect outliers
6893,6893,Is Z score the same as standardized score
6894,6894,How do you find the standardized sample mean
6895,6895,What are the advantages of stratified sampling
6896,6896,What are the different clustering techniques
6897,6897,What is clustering What are the different clustering techniques
6898,6898,What are clustering models
6899,6899,What exactly is machine learning
6900,6900,What is AI and machine learning examples
6901,6901,Where is machine learning applied
6902,6902,What is machine learning and its type
6903,6903,What is the meaning of probability sampling
6904,6904,What is meant by non probability sampling
6905,6905,What is the difference between non linear and linear trends
6906,6906,What do non linear mean
6907,6907,What is linear and non linear
6908,6908,What thing can lead to problems in data processing
6909,6909,What are the disadvantages of data processing
6910,6910,What are the common types of problems with data
6911,6911,What is data processing error
6912,6912,What is the difference between a population and a sample quizlet
6913,6913,What does it mean to validate data
6914,6914,What is the output of neural network
6915,6915,How many outputs can a neural network have
6916,6916,When the population has a normal distribution the sampling distribution of is normally distributed for any sample
6917,6917,Is the sampling distribution of the mean always normally distributed
6918,6918,Is a sampling distribution normal only if the population is normal
6919,6919,What is a bias in machine learning
6920,6920,What is the discriminator
6921,6921,What is Gan inversion
6922,6922,How do you code a gan
6923,6923,What is the formula for calculating covariance
6924,6924,How do you calculate covariance and correlation
6925,6925,Should residuals be normally distributed
6926,6926,How do you tell if residuals are normally distributed
6927,6927,Why do we check normality of residuals
6928,6928,What is the mean of Bernoulli distribution
6929,6929,What is Bernoulli's theorem in probability
6930,6930,What is the difference between Bernoulli and binomial distributions
6931,6931,How is Bernoulli probability calculated
6932,6932,What is gradient descent in ML
6933,6933,How does gradient descent work in neural network
6934,6934,What does it mean for something to be more variable
6935,6935,What is another word for variables
6936,6936,What are the strengths and weaknesses of Randomised controlled trials
6937,6937,What is a randomized cross over trial
6938,6938,What is a sampling distribution quizlet
6939,6939,How do you find the sampling distribution of the sample mean
6940,6940,How do you spectral analysis in Excel
6941,6941,What are the two types of sampling errors
6942,6942,What is meant by sampling error
6943,6943,What is the Type I error
6944,6944,What is better than Lstm
6945,6945,What does random random do
6946,6946,How do you find the standardized score in statistics
6947,6947,Is the standard score the Z score
6948,6948,How do you find a missing z score
6949,6949,Can an estimator be unbiased and consistent
6950,6950,What is Communalities in factor analysis
6951,6951,How much correlation is Multicollinearity
6952,6952,How do you calculate VIF in multiple regression
6953,6953,How is ROC curve drawn
6954,6954,How do you derive the ROC curve
6955,6955,What is the difference between LGD and EAD
6956,6956,What is workout LGD
6957,6957,How do you prove consistency of an estimator
6958,6958,What does the distribution of sample means consist of
6959,6959,What are the properties of the sampling distribution of the sample mean
6960,6960,What is multivariate normality test
6961,6961,What are the assumptions for multiple regression
6962,6962,What is a linear operator in linear algebra
6963,6963,What is a matrix operator
6964,6964,What is the difference between Poisson distribution and binomial distribution
6965,6965,How do you interpret descriptive statistics
6966,6966,How do you find the test statistic for a hypothesis test
6967,6967,How do you find the test statistic for two samples
6968,6968,Is T score the same as test statistic
6969,6969,What are the two types of hypothesis used in a hypothesis test
6970,6970,What are the different types of hypothesis testing
6971,6971,What is null hypothesis vs alternative hypothesis
6972,6972,What is the OLS regression line
6973,6973,Why is Kalman filter optimal
6974,6974,How do you correlate a categorical and continuous variable
6975,6975,What does communality in factor analysis mean
6976,6976,What is communality in statistics
6977,6977,How do you write an algorithm in data structure
6978,6978,How do you calculate variance and standard deviation
6979,6979,Why do we calculate variance
6980,6980,How do you calculate variance in Excel
6981,6981,What is population standard deviation
6982,6982,How do you find sample standard deviation from population standard deviation
6983,6983,What is the difference between sample and population variance
6984,6984,What is MLE and map
6985,6985,What is the difference between maximum likelihood and Bayesian
6986,6986,How much does sleep affect IQ
6987,6987,Does sleep increase intelligence
6988,6988,What is parity in statistics
6989,6989,What is demographic parity
6990,6990,What does scaling mean in statistics
6991,6991,What is scaling and its types
6992,6992,What is scaling Why is scaling performed
6993,6993,Why do we need signal processing
6994,6994,What is application of signal processing
6995,6995,Is signal processing in demand
6996,6996,What is PCA in deep learning
6997,6997,What are data trends
6998,6998,How do you find the trend in a graph
6999,6999,What is batch gradient descent in machine learning
7000,7000,When would you create a stratified random sample
7001,7001,Why is it important to use random sampling
7002,7002,What is equi depth binning
7003,7003,How do you represent knowledge in AI
7004,7004,How many types of knowledge are there in AI
7005,7005,Why is knowledge representation required in AI machines
7006,7006,How is knowledge represented in NLP
7007,7007,What is classification and regression in machine learning
7008,7008,Can SVM be used for classification
7009,7009,What is the linear operator
7010,7010,What is linear operator in functional analysis
7011,7011,How many hidden units should I use
7012,7012,What is the effect of increasing the depth of an MLP
7013,7013,What is the correlation between two independent variables
7014,7014,What is the relationship between two variables
7015,7015,What type of relationship is appropriate to find between two independent variables
7016,7016,What is the best neural network model for temporal data
7017,7017,What is difference between the actual output and generated output known as
7018,7018,How do I import data into redshift
7019,7019,What is the difference between DynamoDB and redshift
7020,7020,What does it mean to be an outlier
7021,7021,What is the opposite of an outlier
7022,7022,How do you use the word outlier in a sentence
7023,7023,How are beta endorphins released
7024,7024,What activities release endorphins
7025,7025,Where is beta endorphin produced
7026,7026,How many degrees of freedom are there in regression
7027,7027,How do you report degrees of freedom in a regression
7028,7028,How do you calibrate an e step
7029,7029,Where is flow rate in Cura
7030,7030,What is Lstm and GRU
7031,7031,Is predictive analytics part of machine learning
7032,7032,Is prediction supervised learning
7033,7033,What is multinomial naive Bayes algorithm
7034,7034,What is the main operational difference between multinomial and Binarized multinomial naïve Bayes algorithm
7035,7035,Why is naive Bayes so bad
7036,7036,How likely is a false positive pregnancy test
7037,7037,How do you find the z value for a confidence interval
7038,7038,What are the four types of descriptive statistics
7039,7039,What do you write in descriptive statistics
7040,7040,Does the sample size have an effect on the standard deviation of all possible sample means explain your answer
7041,7041,What is the effect of increasing the sample size on the standard deviation of the sampling distribution
7042,7042,What is the standard deviation of the distribution of all possible sample means
7043,7043,What does boot stand for
7044,7044,Which of the following distance matrix can be used in Knn
7045,7045,Which of the following distance measure do we use in case of categorical variables in K nn
7046,7046,Which algorithm is used for image processing
7047,7047,Does standardization reduce Multicollinearity
7048,7048,How does centering reduce Multicollinearity
7049,7049,What is K in K means algorithm
7050,7050,What is K means how can you select K for K means
7051,7051,What is meant by K in K Medoids and K means algorithm
7052,7052,What is the deviance of a model
7053,7053,What is deviance in logistic regression
7054,7054,How do you identify deviance
7055,7055,Is AI same as data science
7056,7056,What does the second derivative test tell you
7057,7057,What do we use the second derivative for
7058,7058,What is the difference between first and second derivative test
7059,7059,How do AI neural networks work
7060,7060,How does the artificial neural networks model the brain
7061,7061,What does cluster analysis mean
7062,7062,What do eigenvectors tell us
7063,7063,What does a high eigenvalue mean
7064,7064,What are the two regression equations
7065,7065,How many class intervals are there
7066,7066,Whats does interval mean
7067,7067,What is univariate analysis and multivariate analysis
7068,7068,What does multivariate logistic regression mean
7069,7069,How do you explain logarithms
7070,7070,What is a logarithm in one word
7071,7071,Is K means generative or discriminative
7072,7072,What is the difference between a generative and discriminative algorithm
7073,7073,What are the strengths and weaknesses of hierarchical clustering
7074,7074,What is Z in a normal distribution
7075,7075,How do you find the Z distribution
7076,7076,What are the 3 characteristics of the Z distribution
7077,7077,What is the difference between T and Z distribution
7078,7078,What are the parameters of logistic regression W and B
7079,7079,How do you calculate parameters in logistic regression
7080,7080,What are the parameters of a regression model
7081,7081,What are the parameters of a linear regression model
7082,7082,How do you find the discriminant of a function
7083,7083,What measures of central tendency and dispersion would be appropriate
7084,7084,How do you know which measure of central tendency is most appropriate
7085,7085,How do I run a TensorFlow model
7086,7086,How do you deploy a TensorFlow model in production
7087,7087,How do you serve a machine learning model
7088,7088,What is the use of probability distribution in data science
7089,7089,What is the importance of probability distribution in statistics
7090,7090,What is probability used for
7091,7091,How do you read a conditional random field
7092,7092,What are the conditions assumptions necessary to run a Z test
7093,7093,What conditions must be met for the Z test to be used to test a hypothesis concerning a population mean μ Select all that apply
7094,7094,What are the conditions for a two proportion z test
7095,7095,What are the requirements for testing a claim about a population proportion
7096,7096,Is statistics needed for machine learning
7097,7097,How statistics is used in machine learning
7098,7098,What is machine learning and how statistics is used in machine learning
7099,7099,What do the coefficients mean in a regression analysis
7100,7100,What does the coefficient indicate
7101,7101,How do you interpret the coefficient of multiple determination
7102,7102,How do you interpret r2 values
7103,7103,How do you find the variance of the sample mean
7104,7104,How do you calculate average variance
7105,7105,What is sample mean and sample variance
7106,7106,What is variance of mean
7107,7107,What is unimodal and bimodal
7108,7108,What is bimodal in statistics
7109,7109,What are classification models
7110,7110,Is classification a predictive model
7111,7111,What does stochastic mean in statistics
7112,7112,Why do we need stochastic process
7113,7113,What is divergence theorem used for
7114,7114,How do you prove the divergence theorem
7115,7115,Who invented the divergence theorem
7116,7116,What is Generator loss
7117,7117,How do you choose a classification model
7118,7118,What is the relationship between covariance and correlation coefficient
7119,7119,What does covariance mean
7120,7120,What is step size in gradient descent
7121,7121,What is the order of the steps for using a gradient descent algorithm
7122,7122,How do you find the Gradient Gradient descent
7123,7123,How does linear regression predict
7124,7124,What is computer vision in artificial intelligence
7125,7125,How do you know if a sample is unbiased or biased
7126,7126,What makes a sample biased
7127,7127,What is statistics in research
7128,7128,What are the commonly used statistical tools in research
7129,7129,What is the difference between fixed effects and random effects
7130,7130,What would be the consequences for the OLS estimator if heteroscedasticity is present in a regression model but ignored
7131,7131,What are the consequences of Heteroskedasticity for Least Square estimators
7132,7132,What if data is Heteroscedastic
7133,7133,What is confidence level in machine learning
7134,7134,What does confidence interval mean
7135,7135,What is a confidence interval and why is it useful
7136,7136,Which type of technique is used in information extraction
7137,7137,What are NLP tools
7138,7138,How do you calculate robustness
7139,7139,How can you improve accuracy
7140,7140,How is back propagation used to attempt to improve a neural network's accuracy
7141,7141,What is it called when you use a regression line to predict y values for x values outside of the observed range of the data
7142,7142,Is the regression line to predict y from x the same as the regression line to predict X from Y
7143,7143,What changes the correlation coefficient
7144,7144,How would the correlations change if we normalized the data first
7145,7145,What is a neural synapse
7146,7146,What is synapse and its function
7147,7147,Which distribution can be positively skewed distribution with
7148,7148,What does positively skewed mean
7149,7149,How do you know when to reject or fail to reject the null hypothesis
7150,7150,How do you reject or accept the null hypothesis
7151,7151,How do you interpret a decision that fails to reject the null hypothesis
7152,7152,What does Z value mean
7153,7153,How do you find the Z value in statistics
7154,7154,What is difference between classification and regression
7155,7155,Is logistic regression used for classification or regression
7156,7156,What is classification in logistic regression
7157,7157,Is logistic regression only for classification
7158,7158,What is an outlier explain the types of outliers
7159,7159,How do you classify outliers
7160,7160,What are outliers in data science
7161,7161,Why do we need gradient
7162,7162,Why is XGBoost better than gradient boosting
7163,7163,Does XGBoost use gradient descent
7164,7164,How do you calculate Covariation
7165,7165,How do you calculate COV XY
7166,7166,How do you calculate variance and covariance
7167,7167,Which one is better supervised or unsupervised learning
7168,7168,Can unsupervised learning Overfit
7169,7169,Which algorithm can be used for unsupervised learning
7170,7170,How do you find the probability of a frequency distribution
7171,7171,What does frequency mean in probability
7172,7172,What is the difference between a frequency distribution and a probability distribution
7173,7173,What is CNN and RNN
7174,7174,What are the steps in exploratory data analysis
7175,7175,How does SVM classify
7176,7176,How do you increase accuracy in naive Bayes
7177,7177,How do I train naive Bayes classifier
7178,7178,How do you improve Gaussian naive Bayes
7179,7179,When was AI developed
7180,7180,Who Found AI
7181,7181,What is the difference between PMF and CDF
7182,7182,What is the difference between PMF PDF and CDF
7183,7183,Is artificial intelligence really possible
7184,7184,What is intelligence philosophy
7185,7185,How do you measure the power of a hypothesis test
7186,7186,What do you mean by the power of a hypothesis test how can it be measured describe and illustrate by an example
7187,7187,What is forward and backward indexing
7188,7188,What method uses time series data
7189,7189,How does time series data work
7190,7190,How do you write a statistical hypothesis
7191,7191,What is meant by statistical hypothesis
7192,7192,What should I do after deep learning specialization
7193,7193,What are the limits of deep learning
7194,7194,What is discrete variable
7195,7195,What is a discrete variable quizlet
7196,7196,How do you calculate the mean of a discrete random variable quizlet
7197,7197,What are the classification of learning explain
7198,7198,What causes bias in sampling
7199,7199,How do you find Chebyshev's inequality
7200,7200,What is Chebyshev's theorem and how is it used
7201,7201,What is a learning rate in neural network
7202,7202,Which one of these classification algorithms is easiest to start with for prediction
7203,7203,How do you create AI algorithm
7204,7204,What is the best algorithm for image classification
7205,7205,How do you know you're a deep thinker
7206,7206,How is threshold value calculated
7207,7207,How do you clip gradients in TensorFlow
7208,7208,What is the gradient norm
7209,7209,What does the Z score tell you
7210,7210,What is the z value in statistics
7211,7211,How many types of distribution are there in statistics
7212,7212,What is the probability distribution formula
7213,7213,What is Bayes rule in machine learning
7214,7214,What correlation means
7215,7215,What is correlation and its types in statistics
7216,7216,What is correlation and regression
7217,7217,How can you tell if two things are independent
7218,7218,What does it mean if 2 variables are independent
7219,7219,Which of the pairs of random variables are independent
7220,7220,What is SVD in ML
7221,7221,How do you calculate singular value decomposition
7222,7222,What is decomposition in machine learning
7223,7223,What affects the size of the standard deviation
7224,7224,What effect does increasing the sample size have on the population standard deviation
7225,7225,How does sample size affect standard error
7226,7226,What is confidence interval in simple words
7227,7227,How do you interpret confidence intervals
7228,7228,What does a confidence interval tell you
7229,7229,How do you predict using a decision tree
7230,7230,What do decision trees tell you
7231,7231,How does a decision tree learn
7232,7232,How do you calculate decision boundary in logistic regression
7233,7233,Is the decision boundary for logistic regression linear
7234,7234,What is the bias in machine learning
7235,7235,What does logistic model predict
7236,7236,What does a logistic regression model do
7237,7237,What logistics means
7238,7238,What is the difference between Z and T statistics
7239,7239,How do I stop Overfitting in Knn
7240,7240,Why do we need to normalize data
7241,7241,What is normalizing of data
7242,7242,When should we use normalization and standardization
7243,7243,What is a moving average filter
7244,7244,What is the difference between a mean and average filter
7245,7245,Why median filter is better than mean filter
7246,7246,Is averaging a low pass filter
7247,7247,How is FDR's correction calculated
7248,7248,What is FDR value
7249,7249,What is FDR analysis
7250,7250,How do we evaluate classification models
7251,7251,How do you analyze a classification report
7252,7252,What is the difference between linear regression and logistic regression
7253,7253,What is the difference between multiple regression and logistic regression
7254,7254,How do you use a confusion matrix
7255,7255,What is lazy learning in machine learning
7256,7256,What can I do after learning machine learning
7257,7257,How do you find the correlation coefficient of two sets of data
7258,7258,How do you find the coefficient of a data set
7259,7259,How do you find the correlation between two sets of data in Excel
7260,7260,What is pure autocorrelation
7261,7261,What is the difference between serial correlation and autocorrelation
7262,7262,What are the characteristics of neural networks
7263,7263,What is regression techniques
7264,7264,Why convolutional neural network is better for image classification
7265,7265,How does XGBoost different from gradient boosting
7266,7266,How is weight adjustment is done in backpropagation network
7267,7267,How do you update weights on backpropagation
7268,7268,How neural network adjust weights
7269,7269,When can you approximate binomial with normal
7270,7270,How do you approximate Poisson distribution
7271,7271,What does E mean in regression
7272,7272,How do you interpret the p value
7273,7273,How do you know if a distribution is Poisson
7274,7274,How do you parallelize a neural network
7275,7275,Is dummy a variable
7276,7276,What is the meaning of dummy
7277,7277,Do I need to normalize data before correlation
7278,7278,What does Gaussian distribution mean
7279,7279,Is Gaussian the same as normal
7280,7280,What is sampling bias and how do researchers avoid it
7281,7281,What is convolutional feature map
7282,7282,Why is CNN used
7283,7283,What does AIC and BIC mean
7284,7284,How do I choose between AIC and BIC
7285,7285,Where do we use normal distribution in real life
7286,7286,What normal distribution tells us
7287,7287,What is the difference between time series and cross sectional data
7288,7288,What is the difference between cross sectional analysis and time series analysis
7289,7289,What are recurrent neural networks used for
7290,7290,What is a high mutual information score
7291,7291,What is mutual information in information theory
7292,7292,What is the range of mutual information
7293,7293,When should a response variable be transformed using a log transformation
7294,7294,Why do we use log transformation
7295,7295,Why is IQ illegal
7296,7296,Why was IQ created
7297,7297,Does linear regression require normal distribution
7298,7298,What are assumptions of linear regression
7299,7299,How do you check for normality assumption in regression
7300,7300,Is arithmetic mean and average same
7301,7301,What is the difference between mean and average
7302,7302,What is the difference between mean and average in Excel
7303,7303,What is Poisson distribution and its properties
7304,7304,What is data feature engineering
7305,7305,What does a statistical error of .05 mean
7306,7306,What alpha level should I use
7307,7307,Can a matrix be a function
7308,7308,Is trace a linear operator
7309,7309,How do you prepare data for ML
7310,7310,How do you prepare data for a model
7311,7311,How do you find the test statistic in statistics
7312,7312,How do we determine the test statistic and p value
7313,7313,What is convergence in gradient descent
7314,7314,Is mean squared error the same as variance
7315,7315,What is a good MSE score
7316,7316,What does the mean squared error tell you
7317,7317,What are different heuristic search techniques
7318,7318,What is the difference between uninformed and informed search strategies
7319,7319,What is Adaptive Resonance Theory network
7320,7320,What is competitive learning in neural networks
7321,7321,What is the difference between ART1 and ART2
7322,7322,Is observational study quantitative or qualitative
7323,7323,Is NLP considered AI
7324,7324,What is Qda in machine learning
7325,7325,Can LDA be used for regression
7326,7326,How is fractal dimension calculated
7327,7327,What is fractal dimension and how it is calculated
7328,7328,What is the fractal formula
7329,7329,Where do you find fractals
7330,7330,How do you evaluate a logistic regression model
7331,7331,What is the accuracy of the logistic regression model
7332,7332,What measure do we use to evaluate the goodness of fit of a logistic model
7333,7333,How do you find the critical value of Z test
7334,7334,How do you find moments in statistics
7335,7335,What is first and second moment
7336,7336,What are the advantages of the K fold cross validation technique
7337,7337,Where is K means clustering used
7338,7338,Why do we consider K means clustering as an unsupervised machine learning algorithm
7339,7339,Why does uniform distribution happen
7340,7340,How do you know if a distribution is uniform
7341,7341,How do you prove a subset is linearly independent
7342,7342,What is a linearly independent subset
7343,7343,How would you check whether or not any vector is linearly dependent or independent discuss with the help of examples
7344,7344,What are regression techniques
7345,7345,Where is stratified random sampling used
7346,7346,When would stratified sampling be used
7347,7347,What is stratified random sampling in research
7348,7348,How do you calculate state space from transfer function
7349,7349,How does Matlab calculate state space from transfer function
7350,7350,How is knowledge represented
7351,7351,What are the different types of knowledge representation
7352,7352,How do you calculate marginal distribution
7353,7353,How do you find the marginal density of X and Y
7354,7354,How do you solve multi label classification
7355,7355,Which cost function should be used for multiclass classification
7356,7356,What is hamming loss
7357,7357,How collaborative filtering recommended systems can works
7358,7358,What are two types of unbiased samples
7359,7359,Why is sample mean unbiased
7360,7360,Why are residuals important in regression analysis
7361,7361,What is residual analysis in multiple linear regression
7362,7362,What is residual analysis in regression
7363,7363,Can the boosting technique be applied to regression problems
7364,7364,What is the difference between supervised and unsupervised algorithms
7365,7365,What is the time complexity in case of K means algorithm
7366,7366,What is the value of K in K means clustering
7367,7367,How do you know when to use a linear model
7368,7368,What is the difference between stepwise and hierarchical regression
7369,7369,How do you find anomalies in data
7370,7370,How do you find outliers in time series data
7371,7371,What does it mean by anomalies in the data gathered
7372,7372,How do you train a model for sentiment analysis
7373,7373,How do you create a dataset for sentiment analysis
7374,7374,How do you create a training data set
7375,7375,What is the difference between Perceptron and a sigmoid neurons with regard to machine learning
7376,7376,How do you find the accuracy of a linear regression
7377,7377,How do you determine the quality of a regression line
7378,7378,What is the difference between AI and expert system
7379,7379,What is the difference between a sample and sampling distribution
7380,7380,What is the probability distribution of the sample mean
7381,7381,How do you determine if a distribution is a probability distribution
7382,7382,What are the two requirements for a discrete probability distribution quizlet
7383,7383,What are the requirements for a binomial distribution
7384,7384,How do you find the F score
7385,7385,Which statistical test can be used to analyze the relationship between continuous variables
7386,7386,What are the sampling errors in research
7387,7387,What is feature selection in ML
7388,7388,What is similarity in data mining
7389,7389,What are different ways of measuring data similarity and dissimilarity
7390,7390,What are the two factors that make a distribution of data for a variable a normal distribution
7391,7391,What is tagging in NLP
7392,7392,What do you mean by the part of speech tagging what is the need of this task in NLP
7393,7393,What is the total probability under the normal distribution curve
7394,7394,How do you find the probability of a normal distribution given the mean and standard deviation
7395,7395,What is the normal probability distribution function
7396,7396,Do Neural networks learn by example
7397,7397,What is a Markov transition matrix
7398,7398,What is bias term
7399,7399,What does the relative frequency tell us
7400,7400,How do you find the relative frequency
7401,7401,How is bias reduced
7402,7402,Why do we use regularization in machine learning
7403,7403,What's the difference between regularization and normalization in machine learning
7404,7404,What are the applications of NLP
7405,7405,Does NLP use machine learning
7406,7406,What is the discriminant of 3x2 10x =- 2
7407,7407,How do I know if my QQ plot is normally distributed
7408,7408,How do you read the normality of a QQ plot
7409,7409,How do you tell if a distribution is normally distributed
7410,7410,What is stochastic gradient descent in deep learning
7411,7411,How do you find the missing data percentage
7412,7412,How do you handle missing data
7413,7413,What does missing data mean in statistics
7414,7414,What is PCA explained variance
7415,7415,How do you train multi label classification
7416,7416,What are the uses of mean median and mode
7417,7417,What are the uses of median
7418,7418,Why is logistic regression a classification method
7419,7419,How do you calculate binary log
7420,7420,What is the point of batch normalization
7421,7421,How does Confirmation bias affect research
7422,7422,How can we prevent observer bias in research
7423,7423,What is confirmation bias research
7424,7424,How do you measure test effectiveness and efficiency
7425,7425,How is test case coverage calculated
7426,7426,What does a non response mean
7427,7427,What does non response mean in statistics
7428,7428,What is difference between interpolation and extrapolation
7429,7429,Why is extrapolation not reliable
7430,7430,What are the dangers of extrapolation
7431,7431,How do you interpret an F statistic
7432,7432,Why is F statistic positive
7433,7433,How do you find probability with combinations
7434,7434,What are permutations in probability
7435,7435,How do you find the frequency of a marginal distribution
7436,7436,What is marginal frequency
7437,7437,What is an activation function in a neural network
7438,7438,What are the uses of geometric mean
7439,7439,What is the difference between geometric mean and harmonic mean
7440,7440,What is a Markov jump process
7441,7441,What is the use of dense layer in CNN
7442,7442,What do you mean by CNN
7443,7443,What is probability in artificial intelligence
7444,7444,How is probability used in AI
7445,7445,Which of the following is disadvantages of decision tree
7446,7446,How do you sample a bootstrap
7447,7447,What is bootstrapping in data mining
7448,7448,How do you read bootstrapping results
7449,7449,What is a hazard rate function
7450,7450,How do you read a hazard function plot
7451,7451,What is the difference between population and sample standard deviation
7452,7452,Should I use sample or population variance
7453,7453,What are the two types of randomized trials
7454,7454,How do you do a covariance analysis
7455,7455,How many functions are in the discriminant
7456,7456,Why is SGD stochastic
7457,7457,How are vectors used in real life Brainly
7458,7458,What is law of averages give an example
7459,7459,How is keras related to TensorFlow
7460,7460,When was keras added to TensorFlow
7461,7461,What is difference between K means and Knn
7462,7462,What is the difference between KNN and SVM
7463,7463,Why choose K means clustering
7464,7464,Where ensemble techniques might be useful
7465,7465,Which strategies are used for improving the classification accuracy of class imbalanced data
7466,7466,How do you find variance with mean and standard deviation
7467,7467,How do you find the mean and variance
7468,7468,What is the difference between standard deviation and mean deviation
7469,7469,Why do we use hierarchical clustering
7470,7470,How is NLP different from machine learning
7471,7471,Is NLP a subset of machine learning
7472,7472,Is factor analysis multivariate
7473,7473,What does data coverage mean
7474,7474,What is a coverage interval
7475,7475,What is maximum likelihood estimation used for
7476,7476,How do you know which distribution to use
7477,7477,What is the gamma distribution used for
7478,7478,Is LDA deep learning
7479,7479,Why is the convolutional layer important in convolutional neural networks
7480,7480,What is a chi square goodness of fit test used for
7481,7481,What is the difference between chi square goodness of fit and chi square test of independence
7482,7482,Which learning model is useful in feed forward network
7483,7483,How does classification algorithm work
7484,7484,What do you mean by acceptance sampling
7485,7485,What are the two types of acceptance sampling
7486,7486,What is sample inspection
7487,7487,Why is randomization used in experiments
7488,7488,How do you explain randomization
7489,7489,What is randomization principle
7490,7490,What is a Bayesian distribution
7491,7491,What are the two major techniques that are applied for hierarchical task analysis
7492,7492,How do you do task analysis
7493,7493,Why hierarchical task analysis is important
7494,7494,What statistical analysis should I use to compare 2 groups
7495,7495,What statistical inference tool should be used to determine if the difference between the two groups is statistically significant
7496,7496,What does a relative frequency distribution show
7497,7497,How do you interpret a relative frequency table
7498,7498,What does relative frequency refer to
7499,7499,Can I learn deep learning without machine learning
7500,7500,How do you determine the best regression model
7501,7501,How do you calculate probability example
7502,7502,How do you find the probability of an event
7503,7503,What is the formula for the probability of a simple event
7504,7504,Which are loss functions
7505,7505,What is ML loss function
7506,7506,How do you extract weights in TensorFlow
7507,7507,How do you visualize a TensorFlow model
7508,7508,How do you view a TensorBoard
7509,7509,How do you show a Markov chain is regular
7510,7510,What is steady state in Markov chain
7511,7511,Does facial recognition use machine learning
7512,7512,What type of learning is face recognition
7513,7513,What is the purpose of pooling layer
7514,7514,What is generalized artificial intelligence
7515,7515,What language tool is used for deep learning
7516,7516,Which tool is best suited for solving deep learning problems
7517,7517,Which application you should solve by deep learning
7518,7518,How do you find the mean of a lognormal distribution in Excel
7519,7519,What is probability explain the normal curve
7520,7520,What is inference neural network
7521,7521,What is inference in a Bayesian network
7522,7522,What does Wald statistic mean
7523,7523,What does the chi square statistic tell you
7524,7524,How do you find the Wald statistic
7525,7525,How do you calculate F distribution
7526,7526,What is the F distribution in statistics
7527,7527,How do you calculate F in regression
7528,7528,How do you find the f value on a TI 84
7529,7529,What are the two requirements for a discrete probability distribution
7530,7530,What is a required condition for a discrete probability function
7531,7531,What is single layer feed forward network
7532,7532,What is a single layer neural network
7533,7533,What is multi layer feed forward neural network
7534,7534,What is mixed model research
7535,7535,When should reinforcement learning be used
7536,7536,What line is the point of averages on
7537,7537,What is the point of a regression line
7538,7538,How do you find a regression line given points
7539,7539,Can we Ensemble multiple models of same ML algorithm
7540,7540,What is PLS SEM analysis
7541,7541,What is true error and sampling error
7542,7542,How do you determine sampling error
7543,7543,How does an Arima model work
7544,7544,How does predictive analytics assist with decision making
7545,7545,What are the outcomes of predictive analytics
7546,7546,What are the benefits of predictive analytics
7547,7547,What type stage of analytics that recommends decisions
7548,7548,How do you use clustering for classification
7549,7549,How do you classify a cluster
7550,7550,Is clustering same as classification
7551,7551,What is the major difference between cluster analysis and classification
7552,7552,How do you find the quartiles of data
7553,7553,What is the initial definition of quartile
7554,7554,What does Q1 Q2 Q3 mean in statistics
7555,7555,How do you find the quartiles in a normal distribution
7556,7556,How do you find Q1 and Q3 in a normal distribution
7557,7557,What is the Iqr of a standard normal distribution
7558,7558,Why do you center variables in regression
7559,7559,How can you reduce Multicollinearity
7560,7560,What is an interobserver
7561,7561,What does inter observer reliability mean
7562,7562,What is intra observer error
7563,7563,What is the critical value of F
7564,7564,What are the constraints of a problem
7565,7565,What is squared error loss
7566,7566,What is squared error cost function
7567,7567,How do you calculate posterior probability
7568,7568,Why is sequencing of learning so important
7569,7569,What is sequence modeling how it's helpful in NLP
7570,7570,What is a scalar in statistics
7571,7571,How do you know if two vectors are scalar multiples
7572,7572,Is scalar multiplied by a vector or scalar
7573,7573,What is log in regression
7574,7574,What are log log plots used for
7575,7575,How do you interpret logarithmic regression coefficients
7576,7576,Is random forest better than SVM
7577,7577,Which one is the not measure of dispersion
7578,7578,Is interquartile range a measure of dispersion
7579,7579,What are the advantages of truncated Bptt over Bptt
7580,7580,How do you calculate fitted value
7581,7581,What's the difference between GLM and GLM
7582,7582,What is GLM used for
7583,7583,How do you identify selection bias
7584,7584,How are canonical correlations and Canonical variates related to multiple correlation
7585,7585,When should I use correlation analysis
7586,7586,When would you use regression rather than correlation
7587,7587,Is multiple regression correlation
7588,7588,What are the rules of probability
7589,7589,What is the difference between implicit biases and stereotypes
7590,7590,What does implicit bias training do
7591,7591,What is the minimum sample size for at test
7592,7592,What are the advantages of deep learning
7593,7593,How do you calculate squared loss
7594,7594,What is MSE in statistics
7595,7595,What is multiple comparisons in statistics
7596,7596,How does a K nearest neighbors classifier work
7597,7597,How can you avoid a tie up situation in KNN for a binary classification
7598,7598,How does K affect Knn
7599,7599,What is the purpose of a conjoint analysis
7600,7600,What do you mean by conjoint analysis
7601,7601,How do you write a conjoint analysis
7602,7602,Is Markov chain machine learning
7603,7603,How do you control for a variable in regression
7604,7604,How do controlled variables work
7605,7605,What is variable interaction
7606,7606,What does interaction mean
7607,7607,What are the challenges in deep learning
7608,7608,What is Softmax in CNN
7609,7609,What is the process of visual perception
7610,7610,What are two fundamental approaches to explaining perception
7611,7611,What is Delta in quadratic equation
7612,7612,What is the formula to find Delta
7613,7613,How do you find order statistics
7614,7614,Which of the following is order statistics
7615,7615,What is a negative matrix
7616,7616,How can you improve the accuracy of a logistic regression model
7617,7617,What is accuracy in logistic regression
7618,7618,How can you improve the accuracy of a regression model
7619,7619,How do you know if data is Homoscedastic
7620,7620,What is moment generating formula
7621,7621,What is sampling frame and sampling unit
7622,7622,Why is ReLU better and more often used than sigmoid in neural networks
7623,7623,How many nodes are in the input layer
7624,7624,Is Chi square a t test
7625,7625,What is chi square test in simple terms
7626,7626,What is the variance in a standard normal distribution
7627,7627,What is normal variance
7628,7628,What is the variance of the distribution of means
7629,7629,How do you find the variance of a distribution
7630,7630,Is Standard Deviation an estimate
7631,7631,What does the sample standard deviation tell us
7632,7632,What are Factorials used for
7633,7633,What is the purpose of Hyperparameters in a machine learning training model
7634,7634,What is quantile estimation
7635,7635,Is normal distribution discrete or continuous
7636,7636,What are ml metrics
7637,7637,Why is systematic random sampling unbiased
7638,7638,Can systematic sampling lead to a biased sample
7639,7639,What are the disadvantages of systematic sampling
7640,7640,What is systematic bias in sampling
7641,7641,What is variance and how do you calculate it
7642,7642,What are tools and techniques for strategic analysis
7643,7643,What are the tools and techniques applicable for planning give examples
7644,7644,Which of the following method is used to fill the missing values in categorical variables
7645,7645,How do you treat categorical variables in regression
7646,7646,What does the moving average tell you
7647,7647,How do you calculate a moving average trend
7648,7648,What is the effect of multicollinearity
7649,7649,How does Multicollinearity affect standard error
7650,7650,How do you interpret VIF Multicollinearity
7651,7651,What does the variance inflationary factor VIF measure
7652,7652,What is stratified sampling procedure
7653,7653,What is stratified sampling used to estimate
7654,7654,What does reliability mean in statistics
7655,7655,How is reliability of sample measured
7656,7656,How do you measure reliability in statistics
7657,7657,What is a topic in LDA
7658,7658,What is beta LDA
7659,7659,What is the role of feature vector
7660,7660,What data features
7661,7661,What are the tools used for data mining
7662,7662,What is data mining tools and techniques
7663,7663,What type of supervised ML algorithm is used for feature ranking
7664,7664,What is K mode clustering
7665,7665,How do you find the covariance matrix of data
7666,7666,What is covariance of a matrix
7667,7667,How is covariance formula derived
7668,7668,How does NumPy calculate covariance matrix
7669,7669,What is an example of disjoint
7670,7670,What is the difference between joint and disjoint sets
7671,7671,What does mutually disjoint mean
7672,7672,What are the steps in the sentiment analysis process
7673,7673,Which model is used for sentiment analysis
7674,7674,How do you calculate sentiment analysis
7675,7675,What is confusion matrix in Sklearn
7676,7676,What is mass intelligence
7677,7677,What does multimodal learning mean
7678,7678,Why are learning modalities important
7679,7679,What is non probability sampling and its types
7680,7680,What is difference between probability and non probability sampling
7681,7681,What are the types of sampling
7682,7682,Where is systematic sampling used
7683,7683,What is systematic sampling and when is most appropriately used
7684,7684,Which Tensorflow function can you use to configure a categorical column if you don't know all of the possible values for that column
7685,7685,What algorithm does Tensorflow use
7686,7686,What does the normal approximation to the binomial distribution mean
7687,7687,What is the normal approximation
7688,7688,How do you approximate a binomial with a normal distribution
7689,7689,What is the mean of the standard normal distribution
7690,7690,How do you find the mean of a normal distribution graph
7691,7691,How do you calculate LTV CAC ratio
7692,7692,What is a good CAC ratio
7693,7693,What is the difference between a scientific hypothesis and statistical hypothesis
7694,7694,What is a good ROC curve
7695,7695,What does the Anova test tell you
7696,7696,What is the relationship between Anova and regression
7697,7697,What does the F statistic tell you in regression
7698,7698,What is variance in regression analysis
7699,7699,Is decision tree regression linear
7700,7700,What is the application of convolution
7701,7701,Why do we use linear convolution
7702,7702,Where is binary search used in real life
7703,7703,What are binary searches used for
7704,7704,How do you use binary search
7705,7705,What is an example of a binary search
7706,7706,What is the time complexity of KMP algorithm Mcq
7707,7707,What is the time complexity for Rabin Karp algorithm
7708,7708,Why is KMP linear
7709,7709,What is the formula for calculating bias
7710,7710,What is variance of a model
7711,7711,Is LDA Parametric
7712,7712,Is Latent Dirichlet Allocation clustering
7713,7713,What is the use of univariate analysis
7714,7714,How do you do a univariate regression analysis in SPSS
7715,7715,How biased are our algorithms
7716,7716,How can machine learning detect bias
7717,7717,What is an acceptance sampling what factors should be considered in designing it
7718,7718,What is lot by lot inspection
7719,7719,Does every random variable have a distribution
7720,7720,Is distribution a probability
7721,7721,What is meant by probability distribution
7722,7722,What defines a distribution
7723,7723,What is the difference between distribution and density
7724,7724,When should you use Z test
7725,7725,What is the difference between Z distribution and t distribution
7726,7726,How can machine learning prevent Overfitting
7727,7727,What is Underfitting and Overfitting in machine learning and how do you deal with it
7728,7728,How do you study statistics and probability
7729,7729,What is the easiest way to learn probability
7730,7730,What is machine learning clustering
7731,7731,What are the applications of clustering
7732,7732,How does GloVe word Embeddings work
7733,7733,What is empirical error in machine learning
7734,7734,What is meant by sparse matrix
7735,7735,What is matrix documentation
7736,7736,What is moment generating function in statistics
7737,7737,What's a good Kappa score
7738,7738,What is the physical meaning of entropy
7739,7739,Is entropy a physical property
7740,7740,Is activation function a Hyperparameter
7741,7741,Can Hadoop Do real time processing
7742,7742,What is basic probability
7743,7743,What do you mean by probability theory
7744,7744,What is the basic law of probability
7745,7745,What are layers in neural networks
7746,7746,What are layers in machine learning
7747,7747,How many types of layers are there in a neural network
7748,7748,What is Perceptron learning rule
7749,7749,How does a Perceptron change its weights
7750,7750,How do you calculate bias in Perceptron
7751,7751,What is the significance of error signal in Perceptron network
7752,7752,Why do we need a table or computer to calculate a probability for a normal random variable
7753,7753,Is normal distribution is a discrete distribution
7754,7754,How does AI relate to natural language processing
7755,7755,What is natural language processing and how does it work
7756,7756,What is a confirmation bias and how can it affect our rationality
7757,7757,Why is bias not good
7758,7758,What is chi square distribution with examples
7759,7759,What is the name of the parameter that determines the shape of the chi square distribution
7760,7760,How are the parameters updates during gradient descent process simultaneously
7761,7761,What are the dangers associated with drawing inferences from the stepwise model
7762,7762,Which sampling method is most accurate
7763,7763,When should you use stratified sampling
7764,7764,What are the strengths and weaknesses of stratified sampling
7765,7765,How do you interpret bivariate correlation
7766,7766,How do you analyze bivariate data
7767,7767,How do you analyze correlation data
7768,7768,What do you mean by Contrapositive and converse
7769,7769,What is an inverse statement
7770,7770,What data is normally distributed
7771,7771,What is parametric distribution
7772,7772,Is Bayesian statistics better
7773,7773,Why is temporal difference TD learning of Q values Q learning superior to TD learning of values
7774,7774,What is TD error
7775,7775,What does multivariable mean
7776,7776,What is multivariate statistical methods
7777,7777,Is deep learning good for regression
7778,7778,What is the best activation function for regression
7779,7779,What is the opposite of aversion
7780,7780,What is the difference between risk averse and risk neutral
7781,7781,What's the opposite of risk
7782,7782,What is the purpose using principal component analysis on big data with many features
7783,7783,What is AI and how does it differ from human intelligence
7784,7784,What does mean squared error mean
7785,7785,What is λ in probability
7786,7786,How many types of neural networks are there
7787,7787,Is neural networks and deep learning same
7788,7788,What is neural networks and deep learning
7789,7789,What is the difference between neural network and machine learning
7790,7790,How do you use the law of averages
7791,7791,What is logistic regression in simple terms
7792,7792,How does a logistic regression work
7793,7793,How do you calculate learning rate
7794,7794,What are the advantages of the linearity assumption in linear regression
7795,7795,What are the important assumptions of linear regression
7796,7796,What does linearity mean in linear regression
7797,7797,What is Adaline in neural networks Mcq
7798,7798,How do you use the Taguchi method
7799,7799,What is Taguchi method with an example
7800,7800,What are the two basic stages of Taguchi design
7801,7801,What are the names of different gates in Lstm and GRU
7802,7802,Why is variance important
7803,7803,What is the use of variance
7804,7804,What does variance tell you about a population
7805,7805,Why is it important to know how much variation is in a data set
7806,7806,How do you calculate SSR in regression
7807,7807,What does SSR measure
7808,7808,How do you do logistic regression in SPSS
7809,7809,What is autocorrelation in regression
7810,7810,What does finite population mean in statistics
7811,7811,What is finite population sampling
7812,7812,Why is autocorrelation used
7813,7813,What does split half reliability tell us
7814,7814,What is the significance of reliability in data analysis
7815,7815,What are binary categories
7816,7816,What are the different types of classification
7817,7817,How do you handle noisy data
7818,7818,What is meant by noisy data
7819,7819,What causes noisy data
7820,7820,How can data mining remove noisy data
7821,7821,What is maximum likelihood in machine learning
7822,7822,Which metrics are used for classification problems
7823,7823,What is data augmentation in NLP
7824,7824,What is dataset augmentation explain
7825,7825,What is the meaning of least squares in a regression model
7826,7826,What is least square linear regression
7827,7827,What does the term least squares mean
7828,7828,What is time series analysis with example
7829,7829,What is time series data analysis
7830,7830,What is disproportionate sampling
7831,7831,What is proportionate stratified random sampling technique
7832,7832,How do you find proportionate sampling
7833,7833,Is population variance the same as sample variance
7834,7834,Why will random samples from a given population not have the same mean sample means will vary because the data values selected for samples are not randomly chosen sample means will vary because for each sample the same data values are selected
7835,7835,Why is the standard deviation of the distribution of means generally smaller than
7836,7836,How do you find the confidence interval in statistics
7837,7837,What is the complexity of the Minimax algorithm
7838,7838,How is Shannon Entropy calculated
7839,7839,What is entropy function
7840,7840,How does Shannon define information
7841,7841,How many layers deep learning algorithms are constructed
7842,7842,How deep is a deep neural network
7843,7843,What is the average Gini index
7844,7844,What is a good Gini coefficient
7845,7845,What is the importance of a regression line
7846,7846,What is the best regression line
7847,7847,Does bagging increase variance
7848,7848,Which operation is used in bagging to reduce the variance
7849,7849,What is conditional probability PDF
7850,7850,What is conditional probability and independence
7851,7851,What is R and R 2 statistics
7852,7852,What is few shot object detection
7853,7853,What is the difference between biased and unbiased samples
7854,7854,What makes something an unbiased estimator
7855,7855,What is decision tree explain
7856,7856,How does decision tree work
7857,7857,What is true positive rate in data mining
7858,7858,What is a relative frequency table in math
7859,7859,When would you use a relative frequency table
7860,7860,What is meant by frequency table
7861,7861,What is a matrix or vector norm
7862,7862,What is the nonparametric equivalent of linear regression
7863,7863,How do you use beta distribution
7864,7864,What is exclusion restriction
7865,7865,What is the difference between 2SLS and IV
7866,7866,What are the advantages of multitasking
7867,7867,What are the pros and cons of multitasking
7868,7868,What is a good example of multitasking
7869,7869,Why Multitasking is required
7870,7870,What would happen to the p value if you observe the same sample mean and sample standard deviation for a larger sample size say greater than 50
7871,7871,What factors affect the p value
7872,7872,What is the relationship between P values confidence intervals and sample size
7873,7873,What is the use of time series analysis
7874,7874,What are the major uses of time series
7875,7875,Why do we use time series forecasting
7876,7876,What is the difference between rule based and learning based approach
7877,7877,How can you improve data accuracy
7878,7878,What increases the accuracy of the decision tree model
7879,7879,How many hash functions are there
7880,7880,What are the limits of hashing
7881,7881,Which algorithm is a hashing encryption algorithm
7882,7882,What is the strongest hashing algorithm
7883,7883,What type of bias in the text might a double blind experimental setup reduce
7884,7884,How do you minimize experimenter bias
7885,7885,How does bias affect an experiment
7886,7886,What does bias mean example
7887,7887,How do you find the coefficient of rank correlation
7888,7888,Is a correlation coefficient on ranked data
7889,7889,How do you calculate Spearman's rank correlation coefficient in Excel
7890,7890,What are the 2 categories of machine learning
7891,7891,What is the difference between equality of opportunity and equality of results
7892,7892,What does equality of opportunity mean quizlet
7893,7893,What is artificial intelligence and expert systems
7894,7894,Is standard error equal to variance
7895,7895,Is variance and standard deviation the same
7896,7896,How do you calculate standard error from variance
7897,7897,What is the formula for the experiment wise error rate
7898,7898,How do you find comparison wise error rate
7899,7899,What is a nonparametric hypothesis
7900,7900,What is an example of a nonparametric test
7901,7901,How do you determine if a test is parametric or nonparametric
7902,7902,What is API in neural network
7903,7903,What is evolutionary neural network
7904,7904,Can we use CNN for text classification
7905,7905,Which neural network learning algorithm is used for classification
7906,7906,How do you calculate Type 2 error
7907,7907,What is Type 2 error in hypothesis
7908,7908,What is the relationship between artificial intelligence AI machine learning ml and deep learning DL
7909,7909,Why AI and machine learning is important
7910,7910,Is Machine Learning a subset of AI
7911,7911,Which terms does not apply to cluster analysis
7912,7912,What are the applications of cluster analysis
7913,7913,What is decomposition analysis
7914,7914,What decomposition means
7915,7915,What is the purpose of decomposition in time series
7916,7916,How do you forecast decomposition
7917,7917,What are the two types of simple random sample selection methods
7918,7918,What are the two types of sampling methods
7919,7919,What are the four types of random sampling techniques
7920,7920,What is an example of a stochastic event
7921,7921,What is the difference between statistics and stochastic
7922,7922,What is stochastic system
7923,7923,How can you tell if a Markov chain is irreducible
7924,7924,What is a reducible Markov chain
7925,7925,How do you find the interval on a frequency table
7926,7926,What is average pooling
7927,7927,What is an example of a nonlinear relationship
7928,7928,What does nonlinear association mean
7929,7929,What does nonlinear mean
7930,7930,What is the meaning of non linear text
7931,7931,What is mean by frequency in statistics
7932,7932,What is the difference between partitioning and sharding
7933,7933,How do you find the median of a quartile
7934,7934,What is median and interquartile range
7935,7935,What is the fundamental postulate of statistical mechanics
7936,7936,What are statistical mechanics
7937,7937,Why do we use statistical mechanics
7938,7938,What are the prerequisites to learn TensorFlow
7939,7939,What is AutoML platform
7940,7940,How do you center variables in SPSS
7941,7941,How do you center variables
7942,7942,How do you center a group in SPSS
7943,7943,Is credible interval the same as confidence interval
7944,7944,What is the difference between confidence interval and confidence level
7945,7945,What is the difference between MSE and variance
7946,7946,What is standard error used for
7947,7947,What does the standard error of the estimate measure
7948,7948,Is standard error a measure of variance
7949,7949,What are hidden nodes *
7950,7950,What are hidden units in neural network
7951,7951,What is calculated in the nodes of the hidden layer of a neural network
7952,7952,What is the significance of optimal separating hyperplane in SVM
7953,7953,What is maximum margin hyperplane in SVM
7954,7954,What is the relationship between mathematics and statistics
7955,7955,What is mathematics and statistics
7956,7956,What is meant by weights in neural network
7957,7957,What does it mean to train a neural network
7958,7958,How do you prove two matrices are similar
7959,7959,Do similar matrices have the same trace
7960,7960,What is Optimizer in deep learning
7961,7961,What affects effect size
7962,7962,Is Pearson's r an effect size
7963,7963,Which of the following statements is true about linear regression regarding outliers
7964,7964,What is an example of false cause
7965,7965,What makes false cause a fallacy
7966,7966,What is an example of a false dilemma fallacy
7967,7967,What is the distribution of the test statistic
7968,7968,What is the sampling distribution under the null hypothesis
7969,7969,Which distribution is used for testing hypothesis
7970,7970,How do you find the mode of a continuous random variable
7971,7971,How do you find the mode of continuous data
7972,7972,What is the mode of a variable
7973,7973,Is all data normally distributed
7974,7974,What does it mean for data to be normally distributed
7975,7975,What does LSI do
7976,7976,Do you reject or fail to reject H0 at the 0.05 level of significance
7977,7977,What is the region of rejection in statistics
7978,7978,How do you calculate KS test
7979,7979,Why do we use probability sampling
7980,7980,Should you always choose probability sampling Why or why not
7981,7981,How do you find the probability from a histogram
7982,7982,How do you create a probability histogram in Excel
7983,7983,How do you make a probability histogram
7984,7984,How do you create a probability distribution in Excel
7985,7985,Does Mcculloch Pitts model have ability of learning
7986,7986,What are the general limitations of backpropagation rule
7987,7987,Can we learn deep learning without machine learning
7988,7988,What does it mean by relative frequency
7989,7989,What is the difference between the relative frequency and the percent frequency
7990,7990,How do you do a relative frequency table
7991,7991,Why do we use derivative in gradient descent
7992,7992,In which case the gradient descent algorithm works best
7993,7993,What is the algorithm efficiency for selection sort
7994,7994,What are the steps algorithm used in sorting a queue
7995,7995,How do you measure cluster accuracy
7996,7996,How do you test clustering
7997,7997,Which clustering method is more reliable
7998,7998,What is the criteria of good clustering
7999,7999,In which cases will k means clustering fail to give good results
8000,8000,Which of the following may be a method of selecting the optimal number of clusters for K means
8001,8001,How do you manage categorical data
8002,8002,How do you deal with many categorical variables
8003,8003,What are imputation methods
8004,8004,What does it mean when a residual plot has no pattern
8005,8005,What is fit in linear regression
8006,8006,What is best fit line in linear regression
8007,8007,Why do we use non parametric tests
8008,8008,What are the most common reasons you would select a non parametric test over its parametric alternative
8009,8009,What is area under the receiver operator curve
8010,8010,Who invented Federated learning
8011,8011,What is autocorrelation econometrics
8012,8012,What is autocorrelation and cross correlation
8013,8013,What is central moments in statistics
8014,8014,What is sentiment analysis of Twitter data
8015,8015,What are the most popular application areas for sentiment analysis Why
8016,8016,Where is Knn used
8017,8017,When the K nearest Neighbours algorithm is used for prediction the values are calculated by
8018,8018,Is cluster sampling biased
8019,8019,What percentage of the variation in Y can be explained by the corresponding variation in X
8020,8020,How do you calculate explained variation
8021,8021,How do you calculate the variance percentage
8022,8022,What is the output of a regression in machine learning
8023,8023,How do you interpret regression output
8024,8024,What is the outcome of linear regression
8025,8025,Is dependent and independent variable always present in a study Why or why not
8026,8026,Which type of variable is used in a descriptive study
8027,8027,Are there dependent and independent variables in qualitative research
8028,8028,What is interpolation process
8029,8029,How do you find interpolation and extrapolation
8030,8030,Which method is used for interpolation
8031,8031,How do you determine accuracy and precision
8032,8032,Are random variables independent
8033,8033,Is the sum of independent random variables independent
8034,8034,How do you determine if two variables are independent
8035,8035,How do you reduce variance
8036,8036,What variance means
8037,8037,What are the necessary conditions assumptions for constructing a confidence interval for a mean
8038,8038,How do you create a confidence interval for a population mean
8039,8039,What does classification accuracy mean
8040,8040,How is accuracy calculated in image processing
8041,8041,What is meant by null hypothesis
8042,8042,What is a null hypothesis definition and examples
8043,8043,How do you introduce a null hypothesis
8044,8044,What is a null hypothesis and why is it important
8045,8045,What are the two methods used for the calibration in supervised learning
8046,8046,How knowledge is represented computationally
8047,8047,How is knowledge represented stored and accessed
8048,8048,What is the form of knowledge representation
8049,8049,What does the Wilcoxon statistic represent
8050,8050,How is p value related to type 1 error
8051,8051,How are Type 1 and Type 2 errors related
8052,8052,How does statistical power relate to Type 2 errors
8053,8053,What are the different machine learning problems
8054,8054,What is multi agent planning in artificial intelligence
8055,8055,How many types of agents are there in AI
8056,8056,What is agent based system
8057,8057,How does gradient boost work
8058,8058,Is gradient boosting deep learning
8059,8059,What is the meaning of Quantisation
8060,8060,How do you define quantized
8061,8061,What is the binomial theorem used for
8062,8062,Is conditional probability the same as dependent
8063,8063,What is sensitivity in neural network
8064,8064,Why neural networks are useful for fields of AI
8065,8065,What is artificial neural network analysis
8066,8066,How do you sample a uniform distribution
8067,8067,What does output target mean
8068,8068,What is target class data mining
8069,8069,How is Lambda measured
8070,8070,What is lambda ratio
8071,8071,What should Lambda readings be
8072,8072,What does a normal curve tell us
8073,8073,How do you compare two box plots
8074,8074,How do you describe the spread of a box plot
8075,8075,How do you tell if a Boxplot is skewed left or right
8076,8076,What does it mean if a Boxplot is skewed left
8077,8077,Why is the efficient frontier curved
8078,8078,What is efficient frontier curve
8079,8079,How do you find the area to the right of Z
8080,8080,How can you use technology to find the area to the left of Z
8081,8081,How do you use technology to find the Z score
8082,8082,What is the main purpose of descriptive statistics
8083,8083,What is meant by descriptive statistics class 11
8084,8084,Is Random Forest good for regression
8085,8085,What is AI and types of AI
8086,8086,What are two types of AI explain
8087,8087,What can unsupervised learning be used for
8088,8088,How do you train an unsupervised neural network
8089,8089,What is the formula to find outliers
8090,8090,How do you identify outliers in datasets
8091,8091,What are outliers in ML
8092,8092,Does chi squared assume normal distribution
8093,8093,What is a randomized placebo controlled study
8094,8094,What is the purpose of a double blind study
8095,8095,How can statistical analysis be improved
8096,8096,What is statistical Modelling techniques
8097,8097,How is hysteresis thresholding used in the Canny edge detector
8098,8098,When would you use paired data
8099,8099,Is my data paired or independent
8100,8100,What is the difference between paired and unpaired data
8101,8101,What are paired means
8102,8102,How is image processing related to machine learning
8103,8103,How does image processing work
8104,8104,Which software is used for image processing
8105,8105,What are the types of learning strategies
8106,8106,How do you initialize K means
8107,8107,What is the difference between TensorFlow and python
8108,8108,What is Scikit learn used for
8109,8109,What is the relationship between type 1 error and the power of a test
8110,8110,How do you determine Type 1 and Type 2 error
8111,8111,What is path analysis SEM
8112,8112,How do you use path analysis
8113,8113,How do you find the critical value of a normal distribution
8114,8114,How do you find the critical value
8115,8115,How do you find ZC
8116,8116,What is a filter in image processing
8117,8117,What are the differences between mean and median filter
8118,8118,Is Mean filter linear
8119,8119,How does CNN reduce validation loss
8120,8120,What does a paired t test compare
8121,8121,How do you compare paired samples
8122,8122,How do you interpret a paired t test
8123,8123,How do you find the mean of paired differences
8124,8124,What is the batch size in neural network
8125,8125,What is effusion and diffusion
8126,8126,Who introduced Graham's law of diffusion
8127,8127,What is the formula of rate of diffusion
8128,8128,What is the difference between geometric and exponential sequences
8129,8129,What are heuristics and biases
8130,8130,How are weights updated in CNN
8131,8131,What are different machine learning algorithms
8132,8132,What is a singularity image
8133,8133,What type of random variable does a Gaussian distribution model
8134,8134,What is a random error
8135,8135,How does cross validation improve accuracy
8136,8136,How do you find the density of a function
8137,8137,What is population and sampling frame
8138,8138,What does frame mean in statistics
8139,8139,What is the difference between target population and sampling frame
8140,8140,Should I learn deep learning or machine learning
8141,8141,How do you choose a significance level in statistics
8142,8142,What makes a sample statistically significant
8143,8143,What is a problem with the linear model of communication
8144,8144,What are the disadvantages of the linear model
8145,8145,What are the strengths and weaknesses of linear model
8146,8146,What are the advantages of linear model of communication
8147,8147,How do you write the median and interquartile range
8148,8148,Why is Iqr better than range
8149,8149,What is IQR and range
8150,8150,Can neural networks learn any function
8151,8151,Do deep neural networks learn shallow learnable examples first
8152,8152,Is deep learning part of AI
8153,8153,How does AI deep learning work
8154,8154,What is Gibbs algorithm in machine learning
8155,8155,Is Gibbs sampler heuristic
8156,8156,What does distributional mean
8157,8157,When computing the similarity between words C and D the distributional similarity based metric gives a higher score than a path based similarity measure what can be inferred from this observation
8158,8158,What does gradient color mean
8159,8159,What does gradient mean in maths
8160,8160,Does gradient mean slope
8161,8161,Why do we use standard normal distribution
8162,8162,What are measures of location
8163,8163,How do you know which measure of central tendency is best
8164,8164,How do multimodal learners learn
8165,8165,What is precision and recall in confusion matrix
8166,8166,Why feature selection is important in machine learning
8167,8167,Why is feature selection necessary in regression Modelling
8168,8168,Is a histogram bivariate
8169,8169,Can you tell the mean from a box plot
8170,8170,What is true of divisive clustering methods that makes them different from agglomerative clustering methods
8171,8171,Which of the below statement describes the difference between agglomerative and divisive clustering techniques correctly
8172,8172,What is visual object tracking
8173,8173,How does tracking work in an object
8174,8174,What is object detection in computer vision
8175,8175,What is object tracking in image processing
8176,8176,What are the major benefits of neural networks
8177,8177,What is fine tuning in NLP
8178,8178,Is Softmax logistic regression
8179,8179,What is the intersection of two events in probability
8180,8180,What does uniform distribution mean
8181,8181,How do you know when to use uniform distribution
8182,8182,What is CFA in statistics
8183,8183,What is exploratory factor analysis used for
8184,8184,What is class prior in naive Bayes
8185,8185,What are methods of data analysis
8186,8186,What are the advantages and disadvantages of non parametric test
8187,8187,What field is AI used in
8188,8188,Is AI used in data science
8189,8189,What is a domain in machine learning
8190,8190,What are the five steps of hypothesis testing in statistics
8191,8191,What statistical method is hypothesis testing
8192,8192,How do you determine optimal learning rate
8193,8193,What is the difference between the signal and the noise
8194,8194,What is an example of split half reliability
8195,8195,What is autocorrelation used for
8196,8196,Does Adam decrease learning rate
8197,8197,What is the default learning rate for Adam
8198,8198,How do you get rid of selection bias
8199,8199,What are the things to be considered in order to avoid bias in the selection of data
8200,8200,What do you mean by statistical decision theory
8201,8201,How do you explain logistic regression
8202,8202,How do you explain logistic regression in interview
8203,8203,How many parameters does a geometric distribution have
8204,8204,What are the parameters of a probability distribution
8205,8205,Which test would you use to test the assumption of normal residuals
8206,8206,How do you test data for normality
8207,8207,How does a Perceptron work
8208,8208,How a single perceptron can be used to represent the Boolean functions such as AND OR
8209,8209,Why is the sample size important
8210,8210,Why is sample size important in an experiment
8211,8211,How does sample size affect validity of a study
8212,8212,How does sample size affect validity
8213,8213,What are difference between the classification and recognition in machine learning
8214,8214,What is meant by data preprocessing in machine learning
8215,8215,What do you understand by data processing
8216,8216,Why do we need data processing in ML
8217,8217,What is optimization in deep learning
8218,8218,What does the Matrix say about reality
8219,8219,Why do we use Anova
8220,8220,Why is Anova used instead of t test
8221,8221,What is the principal reason why you should use Anova instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions
8222,8222,Whats the difference between PDF and CDF
8223,8223,What is the difference between CNN and Ann
8224,8224,What is inverted list in data structure
8225,8225,What are the types of multivariate analysis
8226,8226,What are ways to deal with multivariate data
8227,8227,How do you define likelihood
8228,8228,What does likelihood mean in probability
8229,8229,How do you use likelihood in a sentence
8230,8230,What is beta in regression
8231,8231,How do you interpret Beta
8232,8232,How can classification models be improved
8233,8233,What does it mean to be a consistent estimator
8234,8234,What makes a model stochastic
8235,8235,What is the difference between a deterministic and stochastic model
8236,8236,What is stochastic analysis
8237,8237,Can Pearson correlation be used for categorical data
8238,8238,Why is probability sampling widely preferred
8239,8239,What is sampling design explain probability and Nonprobability sampling
8240,8240,How do you select the value of k in Knn
8241,8241,What is K value in Knn
8242,8242,What is a good K value
8243,8243,What happens when K 1 in Knn
8244,8244,Is Z countable set
8245,8245,When Should non parametric tests be used
8246,8246,In what area of research the non parametric tests are more useful than parametric tests
8247,8247,What is linear regression analysis used for
8248,8248,What is the difference between sampling frame and target population
8249,8249,Is LM exogenous variables
8250,8250,How many independent variables can there be in regression models
8251,8251,Can you have 2 independent variables
8252,8252,What is artificial intelligence and how it works
8253,8253,What are Hyperparameters in neural network
8254,8254,What is the difference in bias and variance in Random Forest vs gradient boosting
8255,8255,What is binomial distribution and its properties
8256,8256,Is a Bernoulli distribution continuous
8257,8257,Is Bernoulli discrete
8258,8258,What is the formula for population mean
8259,8259,What is population mean in statistics
8260,8260,How do you calculate sample mean
8261,8261,What is sample mean and population mean
8262,8262,How do you calculate hazard rate
8263,8263,What does covariance tell us
8264,8264,What is covariance and correlation coefficients
8265,8265,What is outcome variable
8266,8266,Which variable is the outcome variable
8267,8267,How do you know what the dependent variable is
8268,8268,What is posterior sampling
8269,8269,Which types of similarity measures are used to calculate distance between two objects
8270,8270,Which of the following provided by the Bayesian network
8271,8271,What does NLTK Tokenize do
8272,8272,How do you Tokenize words in NLTK
8273,8273,Which of the following NLTK method is used for splitting sentences in the paragraph
8274,8274,Why sigmoid function is used in logistic regression
8275,8275,Why is sigmoid probability
8276,8276,Why is it better to use median instead of mean
8277,8277,Why would you use median over average
8278,8278,Why is the median preferred to the mean for skewed data
8279,8279,Why use median income instead of mean
8280,8280,How do you plot a decision boundary
8281,8281,What is decision region
8282,8282,What should the correlation of variable when compared with itself
8283,8283,What does it mean when variables are correlated
8284,8284,What does a 0.4 correlation mean
8285,8285,How is Bayes theorem useful in machine learning
8286,8286,Why do we need clustering
8287,8287,What cluster analysis tells us
8288,8288,What is the mean of at distribution
8289,8289,Is the distribution normally distributed
8290,8290,What counts as a normal distribution
8291,8291,What is unbalanced dataset
8292,8292,How Bayesian network can be used to answer any query
8293,8293,What are covariate variables
8294,8294,What does it mean to control for covariates
8295,8295,What are examples of covariates
8296,8296,What are prior and posterior probabilities
8297,8297,What do you mean by posterior probability distribution
8298,8298,Why is bootstrapping important statistics
8299,8299,How do you know a false positive
8300,8300,What is stratified block randomization
8301,8301,What is the T value in statistics
8302,8302,Is the test statistic the p value
8303,8303,How do you find the value of the test statistic
8304,8304,What are the advantages of P & PI controller
8305,8305,What are z scores used for
8306,8306,Are Z scores always normally distributed
8307,8307,What is a contrastive loss
8308,8308,What is contrastive learning
8309,8309,What are statistical analysis methods
8310,8310,Where is information theory used
8311,8311,What are the elements of information theory
8312,8312,Who described the information theory
8313,8313,What are non invertible matrices
8314,8314,What does non invertible mean
8315,8315,How do you know if a matrix is invertible
8316,8316,What does Nonsingular mean
8317,8317,What does the standard error of the estimate RMSE measure
8318,8318,What is the standard error of the estimate
8319,8319,What is the meaning of standard error
8320,8320,What is computer vision in deep learning
8321,8321,Is computer vision part of deep learning
8322,8322,What is the most commonly used deep learning network in computer vision
8323,8323,What is the use of regularization What are L1 and L2 Regularizations
8324,8324,What is meant by statistical project
8325,8325,What is a statistic in statistics example
8326,8326,What is a statistical design
8327,8327,Does AI have emotional intelligence
8328,8328,How long do CVT transmissions last
8329,8329,How does a continuously variable transmission work
8330,8330,What is the probability mass function of Poisson distribution
8331,8331,How does a permutation test work
8332,8332,How do we calculate the P value for a permutation test
8333,8333,What is permutation method
8334,8334,How do you oversample text data
8335,8335,How do you balance your data
8336,8336,What are neurons called within neural networks
8337,8337,What is neurons in CNN
8338,8338,What is SVM and how does it work
8339,8339,What does a median filter do
8340,8340,Is a median filter a kind of convolution
8341,8341,What makes a low pass filter
8342,8342,How do you organize yourself
8343,8343,Which one of the functions always maps the values between 0 and 1 sigmoid
8344,8344,What is off policy evaluation
8345,8345,How is sample variance calculated
8346,8346,What is the variance of the sample data
8347,8347,How do you find the variance of a random sample
8348,8348,What are the characteristics of a linear model of communication
8349,8349,What are the four characteristics of linear model
8350,8350,How coefficients are calculated in logistic regression
8351,8351,What do coefficients mean in logistic regression
8352,8352,How do you interpret logit coefficients
8353,8353,What is the difference between linear and exponential
8354,8354,What is exponential regression
8355,8355,What is interpolation example
8356,8356,What is the meaning of interpolation
8357,8357,What are interpolation methods
8358,8358,What is Maximax and Maximin
8359,8359,What is the continuity correction to binomial
8360,8360,Why do we use the normal approximation to the binomial distribution
8361,8361,What is knowledge representation AI
8362,8362,Why do we need knowledge representation in AI
8363,8363,What are the approaches of knowledge representation
8364,8364,What are the gates in Lstm
8365,8365,What do you mean by random process
8366,8366,What does SMD mean in statistics
8367,8367,What standardized means
8368,8368,How do you calculate standardized effects
8369,8369,Which method is used for state space search problems
8370,8370,Which method is used for state space search problems Mcq
8371,8371,How state space strategy is useful in problem solving
8372,8372,What are the discrete probability distributions
8373,8373,What are the different types of probability distribution
8374,8374,What are the different types of continuous distribution
8375,8375,What are the requirements for a probability distribution
8376,8376,What is probability distribution formula
8377,8377,What are the performance metrics for regression
8378,8378,Which metrics can be used for evaluating regression models
8379,8379,How many types of regression analysis are there
8380,8380,What is regression analysis and its types
8381,8381,What is regression analysis used for
8382,8382,Why do neural networks predict
8383,8383,Is Fourier series and Fourier Transform same
8384,8384,What is a Fourier series used for
8385,8385,What is the difference between Fourier transform and Z transform
8386,8386,What is the formula to calculate average
8387,8387,What is the meaning of average
8388,8388,Do data analysts use machine learning
8389,8389,Is Analytics part of AI
8390,8390,How do you calculate complete sufficient statistics
8391,8391,How do you find minimal sufficient statistics
8392,8392,What are the issues associated with high dimensional data
8393,8393,What does a multiple linear regression tell you
8394,8394,What is the multiple linear regression equation
8395,8395,How do you find the median when there is 2
8396,8396,How do you find the median of N
8397,8397,What is the difference between a randomized control trial and non randomized control trial
8398,8398,What does law of averages mean
8399,8399,How do you analyze the relationship between variables
8400,8400,What is used to examine the relationships between variables
8401,8401,What technique is a measure of the relationship between two variables
8402,8402,What is the differentiation of ex
8403,8403,Why derivative of e x is e x
8404,8404,What is derivative of E 2x
8405,8405,Where do we use Chi Square t test and Anova
8406,8406,What is output device give example
8407,8407,What is output
8408,8408,What is used in backward chaining algorithm in AI
8409,8409,What is forward and backward reasoning
8410,8410,What is a complementary event and how do you find its probability
8411,8411,What is the purpose of random assignment in an experiment check all that apply Group of answer choices
8412,8412,How do you show the relationship between independent and dependent variables
8413,8413,Which variable is the one that explains the relationship between independent variable and dependent variable
8414,8414,How do you differentiate between dependent and independent variables
8415,8415,How do you remember independent and dependent variables
8416,8416,How do you interpret main effects
8417,8417,What is a main effect in two way Anova
8418,8418,How do you describe main effects and interactions
8419,8419,Is the independent variable measured or manipulated
8420,8420,Can an independent variable be quantitative
8421,8421,How do you measure independent variable in research
8422,8422,Can variable be measured
8423,8423,What is the disadvantage of KNN
8424,8424,Why is Knn sensitive to outliers
8425,8425,How do you calculate joint probability mass function
8426,8426,How do you calculate joint probability of independent events
8427,8427,How do you calculate joint probability in Excel
8428,8428,What is Elman network
8429,8429,What is the meaning of artificial neural network
8430,8430,What are the layers in deep learning
8431,8431,How many layers should my neural network have
8432,8432,What is pre processing in machine learning
8433,8433,Why RMSE is used
8434,8434,What is the output of CNN
8435,8435,What is the output of a convolutional neural network
8436,8436,What is the output of convolution neural network CNN )
8437,8437,How do you find the level of significance in a chi square test
8438,8438,How is significance level calculated
8439,8439,What is a significant p value for chi squared
8440,8440,Is linear algebra part of calculus
8441,8441,Is Linear Algebra Algebra 2
8442,8442,What are the limitations of statistical measurement
8443,8443,What are the limitations of statistics class 11
8444,8444,What are the importance and limitations of statistics
8445,8445,What are the limitations of data analysis
8446,8446,What kind of problems does regularization solve
8447,8447,How is AI impacting the world
8448,8448,How AI is changing our lives
8449,8449,What if AI takes over the world
8450,8450,How does an a B test differ from a multivariate test
8451,8451,What is stratified sampling sampling
8452,8452,What type of variable is heart rate
8453,8453,Is heart rate a categorical variable
8454,8454,How do you tell if a variable is continuous or discrete
8455,8455,What is the difference between a discrete and continuous variable
8456,8456,Is the independent variable categorical or continuous
8457,8457,Does the additional survey information from Part B have much of an effect on the sample size that is required
8458,8458,How do you find the sample size in Statcrunch
8459,8459,What is the number of degrees of freedom that should be used for finding the critical value TΑ 2
8460,8460,What is the main difference between simple regression and multiple regression
8461,8461,What is the area under the curve of a probability distribution
8462,8462,How do you find C in a probability density function
8463,8463,How do you find the conditional distribution
8464,8464,What is worse false positive or false negative
8465,8465,Can SVM be used for clustering
8466,8466,How do you describe a regression fit
8467,8467,What is the difference between the independent t test and the Mann Whitney U test
8468,8468,What is a Kruskal Wallis test used for
8469,8469,What's the difference between Wilcoxon and Mann Whitney
8470,8470,What impact do metaphors have
8471,8471,How does skewed data affect the mean
8472,8472,What is the importance of measure of skewness in assessing students performance
8473,8473,What is clustering explain K means algorithm with an example
8474,8474,What is meant by K means clustering
8475,8475,What are the steps in K means clustering
8476,8476,Does regression require normal distribution
8477,8477,Can logistic regression be used for non linear
8478,8478,Does logistic regression need scaling
8479,8479,Which is better supervised or unsupervised classification
8480,8480,How do you calculate quantile in statistics
8481,8481,Where is decision analysis used
8482,8482,What is decision analysis method
8483,8483,What are clusters in data
8484,8484,How do you control experimental bias
8485,8485,What is experimental bias and why can it be bad
8486,8486,What is data mining with real life examples
8487,8487,What is data mining explain
8488,8488,What is data mining and its types
8489,8489,Is a sample mean biased or unbiased
8490,8490,Why is standard deviation bad
8491,8491,What is the difference between independent and dependent events quizlet
8492,8492,What is the difference between independent and dependent events when calculating probability
8493,8493,How do random forests predict
8494,8494,How does random forest regression work
8495,8495,What is a non standard measurement tool
8496,8496,What is standard unit length
8497,8497,How do you work out the probability distribution
8498,8498,How do you convert data into a probability distribution
8499,8499,What is deep CNN
8500,8500,Is CNN a deep neural network
8501,8501,What is the difference between deep learning and CNN
8502,8502,How convolutional neural networks work in depth
8503,8503,What type of classifier is SVM
8504,8504,What is SVM linear
8505,8505,What Bandit means
8506,8506,How do you use bandit in a sentence
8507,8507,What is considered high inter rater reliability
8508,8508,How many types of hypothesis testing are there
8509,8509,Is covariance matrix Hermitian
8510,8510,What is unstructured covariance matrix
8511,8511,What is error covariance matrix
8512,8512,What is interobserver reliability
8513,8513,How do you calculate interrater reliability in SPSS
8514,8514,How is Intercoder reliability calculated
8515,8515,What does loss value mean
8516,8516,What plots can we use for categorical variables
8517,8517,Should I normalize categorical variables
8518,8518,What is threshold in machine learning
8519,8519,What is activation function in neural network
8520,8520,Is ridge regression A Bayesian
8521,8521,Is linear regression A probabilistic model
8522,8522,What exactly is linear regression
8523,8523,How is relative efficiency determined
8524,8524,Which estimator is more efficient
8525,8525,How do you calculate the efficiency of an estimator
8526,8526,Is R value the same as correlation coefficient
8527,8527,How do you calculate the correlation coefficient r
8528,8528,Is Pearson's r the same as R Squared
8529,8529,How do you find the most efficient estimator
8530,8530,How do I calculate the median
8531,8531,How do you find the median in statistics
8532,8532,What is the median of these numbers
8533,8533,How many types of recurrent neural networks are there in deep learning
8534,8534,Which algorithm is used in decision tree
8535,8535,What are fixed effects in panel data
8536,8536,What is P in logistic regression
8537,8537,What is r2 and p value
8538,8538,What is the purpose of a multiple regression
8539,8539,Why is multiple linear regression better than simple linear regression
8540,8540,How are Embeddings trained
8541,8541,Where is word2vec used
8542,8542,Is word2vec supervised or unsupervised
8543,8543,How is Knn calculated
8544,8544,What is the mean of lognormal distribution
8545,8545,How do you calculate lognormal distribution parameters
8546,8546,Why the mean of the lognormal distribution is larger than median
8547,8547,How do you deal with multicollinearity in regression
8548,8548,Does the best regression model have significant Multicollinearity
8549,8549,How do you find the mean for grouped and ungrouped data
8550,8550,What is the mean of ungrouped data
8551,8551,What is grouped and ungrouped data with example
8552,8552,How does machine learning deal with categorical data
8553,8553,What is a correction factor in statistics
8554,8554,Is one hidden layer enough
8555,8555,Why do we need hidden layers
8556,8556,What does one hot encoding do
8557,8557,What type of variable is a dummy variable
8558,8558,What is the difference between mutually exclusive and independent events
8559,8559,What is an example of mutually exclusive events
8560,8560,What is standard error in linear regression
8561,8561,How do I calculate the standard error
8562,8562,What is standard error of coefficient
8563,8563,What is the standard error of Y
8564,8564,How hidden layer is useful in pattern recognition and control problem
8565,8565,How does neural network determine hidden layers
8566,8566,What does the residual plot tell you
8567,8567,How do you read a residual plot
8568,8568,How do you tell if a residual plot is a good fit
8569,8569,What is feature extraction What are the advantages of feature extraction
8570,8570,Can the K nearest Neighbours technique be used for regression problems
8571,8571,What is binning in image processing
8572,8572,What does binning mean
8573,8573,What is the formula for calculating correlation
8574,8574,How do you compare signals
8575,8575,What is Maximin Minimax principle
8576,8576,What is Minimax theory
8577,8577,What is normalization in percentage
8578,8578,What does normalized mean
8579,8579,How do you calculate normalized value
8580,8580,Who belongs to non creamy layer
8581,8581,Can we use decision trees for multi class classification
8582,8582,Can decision trees be used for all classification tasks
8583,8583,What does a positive feedback do
8584,8584,Which of the following function is used to test goodness of fit of a continuous distribution to data in Python
8585,8585,What is a goodness of fit test what distribution is used to run the test
8586,8586,How do you do a goodness of fit test
8587,8587,What is an averaging filter
8588,8588,What is loss in CNN
8589,8589,How does loss function work
8590,8590,What is the purpose of using filters in CNN
8591,8591,What is the purpose of convolutional neural network
8592,8592,How do you find a Type 2 error
8593,8593,What is power Type 2 error
8594,8594,Can F test be one tailed
8595,8595,How do you know if it's a one tailed or two tailed test
8596,8596,What does the F test test
8597,8597,What is the difference between at test and an F test
8598,8598,Is NLP part of ML
8599,8599,What does range tell us in statistics
8600,8600,What does the range indicate
8601,8601,Which search algorithm imposes a fixed depth limit on nodes *
8602,8602,How do you find the z score for confidence intervals
8603,8603,What is the difference between inference summarizing and prediction
8604,8604,Is volume discrete or continuous
8605,8605,Is volume continuous data
8606,8606,Is the volume of an orange discrete or continuous
8607,8607,What are outlier detection methods
8608,8608,How do you analyze outliers in data
8609,8609,What is data structure explain
8610,8610,What is data structure and types of data structure
8611,8611,What is Gini index and entropy
8612,8612,Why do we use Gini index
8613,8613,What is the difference between linear and nonlinear correlation
8614,8614,What is meant by linear and nonlinear correlation
8615,8615,How is sense defined in Wordnet explain with example
8616,8616,What is word sense disambiguation write down the application of WSD
8617,8617,Which of the following is not an assumption of logistic regression
8618,8618,How do you plot a learning curve
8619,8619,How can I improve my learning curve
8620,8620,How do you plot accuracy
8621,8621,Why is convex optimization important in machine learning
8622,8622,Why is optimization necessary in machine learning
8623,8623,What does the cumulative probability distribution show
8624,8624,Why do we divide by N 1 for standard deviation
8625,8625,Why do we find the sample standard deviation we divide by N 1 but when we find the population standard deviation we divide by N
8626,8626,Why do we divide by the standard error when computing a test statistic
8627,8627,What does N stand for in standard deviation
8628,8628,What is Constraint Satisfaction in AI
8629,8629,How do I combine Lstm and CNN
8630,8630,What is the difference between ConvLSTM and CNN Lstm
8631,8631,What is matrix factorization explain with an example
8632,8632,Why are matrices used in machine learning
8633,8633,What is ALS in machine learning
8634,8634,Can we classify after dimensionality reduction
8635,8635,How do you choose machine learning algorithm
8636,8636,How would you describe bivariate data
8637,8637,How do you explain bivariate correlation
8638,8638,What is reinforcement imitation
8639,8639,Is reinforcement learning artificial intelligence
8640,8640,Where are hidden layers in neural network
8641,8641,What is stationary in time series data
8642,8642,Which activation function is more likely to cause a vanishing gradient
8643,8643,Do you need linear algebra for machine learning
8644,8644,Where linear algebra is used in machine learning
8645,8645,What is linear SVM classifier
8646,8646,What is a linear SVC
8647,8647,What is non linear SVM
8648,8648,What is a predictor variable
8649,8649,What is an example of a predictor variable
8650,8650,What is an independent variable in statistics
8651,8651,What are the two types of independent variables
8652,8652,How do you use classification embeds in Word
8653,8653,How do you use GloVe embeds
8654,8654,What is recommended in determining the sample size
8655,8655,Does the sample size matter
8656,8656,Why is sample size important in determining probability
8657,8657,What is iterator and iterable in python
8658,8658,What are the Iterables in Python
8659,8659,Why is the pooling layer used in convolution neural network
8660,8660,How do you decrease P value
8661,8661,What can change p value
8662,8662,What does a high P value mean in regression
8663,8663,What does a low P value mean in regression
8664,8664,How do you calculate odds ratio in logistic regression
8665,8665,How do you convert odds ratio to log odds
8666,8666,What does odds ratio mean in logistic regression
8667,8667,What is bias definition
8668,8668,What are features in ML
8669,8669,What is deep about deep learning
8670,8670,What is the input to a classifier
8671,8671,What is the shortcut formula for standard deviation
8672,8672,How do you find the standard deviation quickly
8673,8673,What are general limitations of back propagation rule
8674,8674,What is the product rule in probability
8675,8675,What is significance of entropy
8676,8676,What is meant by entropy in information theory
8677,8677,Is CNN a MLP
8678,8678,What is MLP in machine learning
8679,8679,What is a CNN model
8680,8680,Why do you use N 1 in sample standard deviation
8681,8681,What is the significance of N 1 degree of freedom
8682,8682,Why is neural machine translated
8683,8683,What is NMT model
8684,8684,How do I create a receiver operating characteristic curve in SPSS
8685,8685,How do you explain ROC curve
8686,8686,How would a receiver operating characteristics ROC curve plot be represented
8687,8687,How do you choose between Poisson and negative binomial
8688,8688,Why we use Adam Optimizer
8689,8689,Are neural networks Turing machines
8690,8690,How do you find the error term
8691,8691,What is the difference between errors and residuals
8692,8692,What are the assumptions of error term
8693,8693,How does deep neural network work
8694,8694,How do you evaluate ML performance
8695,8695,What is the relationship between sample mean and population mean
8696,8696,What is the relationship between the mean of a distribution and the expected value for the distribution
8697,8697,Could the value of the sample mean and the value of the population mean ever be the same Explain your answer
8698,8698,What is the difference between an expected value and a mean
8699,8699,Is standard deviation better than variance
8700,8700,Can PCA be used for classification
8701,8701,Why might performing dimensionality reduction using PCA be bad for a classification task
8702,8702,What is an autoregressive time series model
8703,8703,What is AR model in time series
8704,8704,What is kernel trick in SVM
8705,8705,How does a kernel Relate to feature vectors
8706,8706,Which variant of logistic regression is recommended when you have a categorical dependent variable with more than two values
8707,8707,When can logistic regression be used
8708,8708,Is K means a clustering algorithm
8709,8709,What are class limits in stats
8710,8710,What makes a good sample
8711,8711,What is a suitable sample size
8712,8712,What are the assumptions of logistic regression
8713,8713,How do you test if data is normally distributed
8714,8714,Why check if data is normally distributed
8715,8715,What is the test for normal distribution
8716,8716,What does the unsharp mask do
8717,8717,What do you mean by equal a priori probability
8718,8718,What is cluster sampling used for
8719,8719,What are the advantages of cluster sampling
8720,8720,Is computer vision AI or ML
8721,8721,How does TensorFlow Lite work
8722,8722,How do I run TensorFlow Lite
8723,8723,What is the difference between TensorFlow and TensorFlow Lite
8724,8724,How do I convert TensorFlow Lite to TensorFlow
8725,8725,What is the time series analysis
8726,8726,What is time series and its uses
8727,8727,What is the use of interpolation in GIS
8728,8728,What is decision boundary in machine learning
8729,8729,Which index measures the spatial autocorrelation in the data
8730,8730,Can you cite some examples where a false positive is important than a false negative
8731,8731,Why is deep learning called deep
8732,8732,Why use deep neural networks
8733,8733,What is Q value reinforcement
8734,8734,What is the Q Network
8735,8735,What can regression be used for
8736,8736,How do you interpret a regression equation
8737,8737,What is a gradient in machine learning
8738,8738,What is binary logistic regression
8739,8739,Does logistic regression have to be binary
8740,8740,Is Stanford CoreNLP open source
8741,8741,What is Stanford core NLP
8742,8742,What is validity of a test
8743,8743,Is the standard normal distribution a discrete distribution
8744,8744,Is the distribution a discrete probability distribution
8745,8745,What type of distribution is a normal distribution
8746,8746,What is interpolation and how do you use it
8747,8747,What is SVR in machine learning
8748,8748,Which machine learning use both labeled and unlabeled data for training
8749,8749,Does supervised learning require Labelled data
8750,8750,Which type of machine learning is best for Labelled data
8751,8751,How do you interpret bivariate correlation in SPSS
8752,8752,How do you find Covariance from correlation
8753,8753,What is the rule of covariance
8754,8754,How do you define an event
8755,8755,Is logistic regression robust to outliers
8756,8756,How do outliers affect the least squares regression line
8757,8757,Is Q learning deep learning
8758,8758,How do you find the sample size n
8759,8759,How do you find N in statistics
8760,8760,How is population proportion calculated
8761,8761,What is the meaning of trending now
8762,8762,How do you know if something is trending
8763,8763,What is equivalent von Mises stress
8764,8764,What is Mises stress in Abaqus
8765,8765,How do you estimate depth
8766,8766,What is depth of an image
8767,8767,What is depth information
8768,8768,What is the formula of frequency distribution
8769,8769,How do you find class frequency
8770,8770,What is the difference between a correlated subquery and a non correlated subquery
8771,8771,Are correlated subqueries bad
8772,8772,Why use subqueries instead of joins
8773,8773,Does NLP come under machine learning
8774,8774,What is difference between NLP and Machine Learning
8775,8775,How do you define a dependent variable
8776,8776,How do you know if two variables are independent or dependent
8777,8777,How is Alpha achiever batch of Allen
8778,8778,What is RPN in deep learning
8779,8779,What is RPN network
8780,8780,What is RPN in CNN
8781,8781,What is clone loss
8782,8782,What are the machine learning models
8783,8783,What does model refer to in machine learning
8784,8784,What is the use of POS tagging
8785,8785,Why does NLP require POS tag
8786,8786,How does NLTK POS tagger work
8787,8787,How do you find the maximum likelihood estimator in R
8788,8788,How do you derive the probability function
8789,8789,Why is bias used
8790,8790,Why is bias input needed
8791,8791,What is bias neuron
8792,8792,What statistical analysis should I use to compare three groups
8793,8793,What does having a larger sample size do
8794,8794,Does sample size impact effect size
8795,8795,How does SVM algorithm work
8796,8796,What is the difference between SVM and SVC
8797,8797,How do you choose the number of hidden layers
8798,8798,How many hidden layers can have a neural network
8799,8799,How do you interpret Poisson regression in SPSS
8800,8800,How do I change my learning rate
8801,8801,What is an informal unit of measurement
8802,8802,Is Cubit a standard unit of measurement
8803,8803,What are the benefits of the use of non standard units of measurement
8804,8804,What is Hermitian matrix with example
8805,8805,What does Hermitian matrix mean
8806,8806,How do you find the skew of a Hermitian matrix
8807,8807,What is skew symmetric matrix explain with an example
8808,8808,How do you find the best features of classification
8809,8809,What is Malcolm Gladwell's theory in outliers
8810,8810,What is Gladwell's claim in the article
8811,8811,What are the disadvantages of having a large sample size
8812,8812,Does increasing sample size increase statistical power
8813,8813,What effect does increasing sample size have on probability
8814,8814,What is complete linkage in hierarchical clustering
8815,8815,What is dimensional analysis good for
8816,8816,How do you prove two events are not mutually exclusive
8817,8817,What does it mean if two things are not mutually exclusive
8818,8818,Can two events be mutually exclusive
8819,8819,How do you prove two events are dependent
8820,8820,What are examples of continuous random variables
8821,8821,Which of the following is continuous random variable
8822,8822,Can R Squared be negative
8823,8823,Can coefficient of determination be negative
8824,8824,What does negative R2 score mean
8825,8825,What does R 2 value indicate
8826,8826,What do residuals tell us in regression
8827,8827,What's an event
8828,8828,Is ResNet better than Vgg
8829,8829,How can AI systems be biased give examples
8830,8830,What is AI bias
8831,8831,How do you minimize reporting bias
8832,8832,How do you remove bias
8833,8833,How does reinforcement affect learning
8834,8834,What would be the independent variable in an experiment
8835,8835,How do you describe the independent variable
8836,8836,What is the use of beam parameter in the local beam search algorithm
8837,8837,What is CTC decoder
8838,8838,What is the difference between Type I and Type II error
8839,8839,How do you remember Type 1 and Type 2 error
8840,8840,How do you determine a sample size from a population
8841,8841,What is moving average method in time series
8842,8842,Is moving average a time series model
8843,8843,What is moving average method
8844,8844,What is Ma model in time series
8845,8845,What is the linear programming explain in detail
8846,8846,What is the importance of regression
8847,8847,What are the disadvantages of regression analysis
8848,8848,What are hidden units in Lstm
8849,8849,How many hidden layers are there in Lstm
8850,8850,What is data cleaning in machine learning
8851,8851,Why Data cleaning is important in machine learning
8852,8852,How is data cleansing done
8853,8853,When can you use Pearson's correlation
8854,8854,How do you know when to use a correlation coefficient
8855,8855,When should you not use a Pearson correlation to measure the relationship between two variables in your data set
8856,8856,What is role of Markov decision process in reinforcement learning
8857,8857,What is MDP in reinforcement learning
8858,8858,What is experimental bias
8859,8859,Why is it important to note Correlation does not imply causation
8860,8860,What is a between subjects variable
8861,8861,What does between subjects mean in a between subjects experiment quizlet
8862,8862,What is the difference between a within groups and a between groups design
8863,8863,How is RBF kernel calculated
8864,8864,What is a non randomized trial
8865,8865,What does Randomised trial mean
8866,8866,How do you interpret logistic regression in SPSS
8867,8867,What does an odds ratio of 0.2 mean
8868,8868,What is a biased example
8869,8869,What is approximate Q learning
8870,8870,How do you find the mean of a moment generating function
8871,8871,What is Bayesian Modelling
8872,8872,What is padding in AES encryption
8873,8873,How do you find the scalar equation
8874,8874,How do you find the vector equation of a plane
8875,8875,Which algorithms are used in recommender systems
8876,8876,What is meant by variation in statistical analysis
8877,8877,How do you describe variation in statistics
8878,8878,How can you describe the variation of a data set
8879,8879,What is the standard deviation of the sampling distribution of the sample proportion
8880,8880,How do you find the standard deviation of the sampling distribution of X Bar
8881,8881,What are the mean and standard deviation of the sampling distribution of X Bar
8882,8882,What is the standard error of the difference
8883,8883,What does the standard error of the mean tell you
8884,8884,How do you find the difference in means
8885,8885,Why is decision tree used
8886,8886,Why is the XOR problem exceptionally interesting to neural network
8887,8887,What is a box plot made of
8888,8888,How do you answer box plots
8889,8889,What is box plot explain importance of Boxplot with example
8890,8890,What is the gradient descent update rule
8891,8891,Which learning update the connecting weight in a neural set
8892,8892,Why do we use Fourier series and Fourier transform
8893,8893,What does offline mean
8894,8894,What does ingroup and outgroup mean
8895,8895,How are decision trees pruned
8896,8896,How do you choose the maximum depth of a decision tree
8897,8897,Is the sampling distribution normally distributed
8898,8898,What is a normal sampling distribution
8899,8899,What is the difference between sampling distribution and normal distribution
8900,8900,What are the advantages and limitations of dimensional analysis
8901,8901,What are the limitations of dimensional analysis class 11
8902,8902,What is the importance of dimensional analysis
8903,8903,Is gamma distribution normal
8904,8904,How do you train a picture for face recognition
8905,8905,How do you make a face recognition in Python
8906,8906,What is trace of a matrix
8907,8907,What is trace of a matrix explain with example
8908,8908,Do we always need to do variable selection
8909,8909,What are variable selection methods
8910,8910,Can variable selection methods affect our inferences
8911,8911,How do you determine main effects and interactions
8912,8912,How do you report main effects and interactions
8913,8913,What is an interaction in statistics describe an example
8914,8914,What is transfer learning CNN
8915,8915,How do you handle data Drifting
8916,8916,What is drift data
8917,8917,What's another word for bandit
8918,8918,What is banditry mean
8919,8919,What are the causes of banditry
8920,8920,What is spectral density in time series
8921,8921,What is spectral analysis in astronomy
8922,8922,What is AI problem
8923,8923,What is attention in CNN
8924,8924,What is the attention model
8925,8925,What is a sample space in probability
8926,8926,How do you find the sample space in probability
8927,8927,What is validation loss and training loss
8928,8928,What is predictor variable in regression
8929,8929,What is meant by the independent effect of the predictor variables in a multiple linear regression
8930,8930,How do you choose a clustering algorithm
8931,8931,Which of the following algorithm S provides fastest clustering results
8932,8932,How do you find precision from standard deviation
8933,8933,How do you find the precision percentage
8934,8934,What is the relation between standard deviation and accuracy
8935,8935,Are Autoencoders deep learning
8936,8936,How do you determine a quantile
8937,8937,What is the difference between discrete and continuous sample space
8938,8938,Can you use dummy variables in linear regression
8939,8939,What is the expectation of a uniform distribution
8940,8940,Is Z distribution normal distribution
8941,8941,How does linear regression algorithm work
8942,8942,What is regression algorithm
8943,8943,What is gradient boosted decision trees
8944,8944,Does Sklearn use gradient descent
8945,8945,How many components are present in generalized linear models
8946,8946,How do you create a statistical model
8947,8947,What is statistical Modelling explain with example
8948,8948,Why do we want to develop statistical models
8949,8949,What is ML embedding
8950,8950,How do biases affect us
8951,8951,Is Normal distribution Exponential family
8952,8952,Why uniform distribution is not exponential family
8953,8953,Is logistic distribution Exponential family
8954,8954,Is Gaussian exponential
8955,8955,What data does computer vision use
8956,8956,What is machine vision in computer vision
8957,8957,What are the applications of machine learning in computer vision
8958,8958,How is human brain different from neural networks
8959,8959,What is a neural network in the brain
8960,8960,What does it mean if a test has low validity
8961,8961,How can test retest reliability be improved
8962,8962,What does it mean when variables are independent
8963,8963,How do you know if two variables are independent
8964,8964,What does independent variable mean in statistics
8965,8965,What is normal probability distribution statistics
8966,8966,What are time series used for
8967,8967,Why is it important to know about the statistical properties of time series variables
8968,8968,How do you know if a histogram is normally distributed
8969,8969,What does a normal distribution mean
8970,8970,How do you make a normal distribution histogram
8971,8971,How do you assess predictive models
8972,8972,What are the features extracted from an image
8973,8973,What is feature points in image processing
8974,8974,What is feature description
8975,8975,Is median filtering linear
8976,8976,Can random forest be used for continuous variable
8977,8977,How do you handle correlated variables
8978,8978,Is Econometrics a data science
8979,8979,Is statistics a part of economics
8980,8980,What is S curve and what is its significance
8981,8981,What does statistical significance at the .05 level mean
8982,8982,What is non convex function
8983,8983,Which tagger is more powerful
8984,8984,What is POS NLP
8985,8985,Why is data visualization important how visualizing data improve decision making
8986,8986,How does graphic representation of data help a decision maker
8987,8987,Why do we need visualization
8988,8988,What is gradient descent in linear regression
8989,8989,Can machine learning predict stock prices
8990,8990,When would you use a regression equation
8991,8991,How are the parameters updated during gradient descent process
8992,8992,How does gradient descent work in machine learning
8993,8993,What controls the magnitude of a step taken during gradient descent in machine learning
8994,8994,What is meant by LTI system
8995,8995,How do you use a regression decision tree
8996,8996,How do you know if its Type 1 or Type 2 error
8997,8997,What are type I and type II errors in statistics
8998,8998,Why does Type 2 error occur
8999,8999,What is the purpose of KNN
9000,9000,Why is sarsa on policy
9001,9001,What is bimodal situation in statistics
9002,9002,Which of the following is an example of a bimodal distribution
9003,9003,How can you tell if a histogram is bimodal
9004,9004,Who proposed expectation maximization EM algorithm
9005,9005,How does EM algorithm work
9006,9006,Why do we need gated mechanism in Lstm
9007,9007,What is PAC Learning explain with example
9008,9008,What is agnostic learning
9009,9009,What is the difference between a control and a control group
9010,9010,What are the Hyperparameters in neural network
9011,9011,Why is CVT bad
9012,9012,What are the pros and cons of CVT transmission
9013,9013,Where is TensorFlow mostly used
9014,9014,How do I use TensorFlow datasets
9015,9015,What type of machine learning platform is TensorFlow
9016,9016,What is neural network in computer
9017,9017,What are pros of neural networks over computers
9018,9018,How do you analyze a confounding variable
9019,9019,How do you explain the law of large numbers
9020,9020,Where are large numbers used
9021,9021,What are support vector machines used for
9022,9022,What is mAP metric
9023,9023,What is mAP detection
9024,9024,Why do we need activation functions in neural networks
9025,9025,Why is it necessary to introduce non linearities in a neural network
9026,9026,What is Mnist TensorFlow
9027,9027,What is meant by classification accuracy
9028,9028,How do you calculate overall accuracy
9029,9029,What is meant by statistical Modelling
9030,9030,What is data analytics and artificial intelligence
9031,9031,What is the difference between AI and analytics
9032,9032,Is data analysis part of machine learning
9033,9033,Is the random variable discrete or continuous
9034,9034,Is the random variable X discrete or continuous Choose the correct answer below
9035,9035,What type of random variable is X
9036,9036,Which is not a discrete random variable
9037,9037,What is particle filter clogging
9038,9038,Which algorithm is based on bootstrap aggregation
9039,9039,What is bagging used for
9040,9040,What does X represent in a equation
9041,9041,How do you solve an equation in terms of x
9042,9042,What is Bayes decision theory
9043,9043,What is experimental probability
9044,9044,Where is experimental probability used
9045,9045,What is the experimental probability of rolling a 4
9046,9046,What does a likelihood ratio mean
9047,9047,Why are algorithms bad
9048,9048,What is an attention network
9049,9049,What is maximum likelihood hypothesis
9050,9050,What is the formula for rate of diffusion
9051,9051,How do I know which statistical model to use
9052,9052,Why do different types of statistical models exist
9053,9053,What is the P value in statistics
9054,9054,What is the P value in at test
9055,9055,What is the dependent variable in a linear regression
9056,9056,How do you interpret a simple linear regression
9057,9057,What is regression analysis for dummies
9058,9058,Why is multiple regression better than simple regression
9059,9059,What is inference in artificial intelligence
9060,9060,What is the function of inference engine
9061,9061,What are the steps in data preprocessing
9062,9062,Is random sampling biased
9063,9063,What are the different types of classification algorithms
9064,9064,What is classification algorithm in machine learning
9065,9065,What are the limitations of chi square test
9066,9066,What are the assumptions of a chi square test
9067,9067,What is the key assumption for a chi square goodness of fit test
9068,9068,Does chi square test assume normal distribution
9069,9069,What is meant by experimental bias
9070,9070,What is meant by experimenter bias effect
9071,9071,How do you overcome experimenter bias
9072,9072,How do you find the expected value in a chi square test
9073,9073,Why is naive Bayes better than decision tree
9074,9074,Can we use naive Bayes for Regression
9075,9075,What is DTM in NLP
9076,9076,What is a 2 sided hypothesis test
9077,9077,How do you know if a hypothesis test is one or two sided
9078,9078,Is cluster sampling reliable
9079,9079,What are some real life examples of regression
9080,9080,What is linear regression used for in real world applications
9081,9081,What are AI techniques
9082,9082,Why is moment generating function useful
9083,9083,What is prescriptive data analytics
9084,9084,What is prescriptive analytics used for
9085,9085,When should we use Z test
9086,9086,Who invented the neural network
9087,9087,What is the definition of linear growth
9088,9088,What's the difference between linear and exponential growth
9089,9089,What are the two types of growth curves
9090,9090,How do you describe the growth curve
9091,9091,How do you calculate Bayesian posterior probability
9092,9092,What is agglomerative and divisive clustering
9093,9093,How do you do divisive hierarchical clustering
9094,9094,What does the P value mean
9095,9095,What is the difference between principal component analysis and factor analysis
9096,9096,What does Standardised difference mean
9097,9097,What does a correlation coefficient of 0.8 mean
9098,9098,How do you find the simple correlation coefficient
9099,9099,What is the standard error of the residuals
9100,9100,How do you estimate and interpret a residual
9101,9101,Which of the following is an advantage of backward chaining
9102,9102,Which of the following is an advantage of backward chaining quizlet
9103,9103,Why do we use t distribution for means
9104,9104,What's the difference between the normal distribution and the Student's t distribution
9105,9105,What is a left tailed test in statistics
9106,9106,How do I start learning data analysis
9107,9107,How hard is it to learn data analysis
9108,9108,What is meant by normalization
9109,9109,What is Survey Sampling Method
9110,9110,What sampling method should I use for surveys
9111,9111,Why is sample survey taken
9112,9112,Is the standard deviation an unbiased estimator
9113,9113,What are the clustering techniques
9114,9114,Why do we use N 1 instead of N in the formula of sample standard deviation
9115,9115,Why do we do n 1 in standard deviation
9116,9116,What is the standard normal distribution percentage
9117,9117,What does harmonic mean represent
9118,9118,What is relation between arithmetic mean and geometric mean
9119,9119,How do you measure classifier performance
9120,9120,What performance metrics are used for evaluating the performance of supervised classification algorithms
9121,9121,What are the types of random process
9122,9122,What is Markov chain simulation
9123,9123,How do you find the margin of error for a 99 confidence interval
9124,9124,How do you find the probability of dependent events
9125,9125,What are those different techniques in analyzing a text
9126,9126,What are some popular application areas of text mining
9127,9127,What is supervised and unsupervised image classification
9128,9128,What is the difference between one way and two way effect model
9129,9129,What is a fixed effect in a model
9130,9130,What does it mean if R2 is negative
9131,9131,What if coefficient of determination is negative
9132,9132,What does it mean when the regression coefficient is negative
9133,9133,What is the correct definition of a randomized controlled clinical trial quizlet
9134,9134,What does a randomized controlled trial mean
9135,9135,Is data science important for machine learning
9136,9136,How are AI and data science related
9137,9137,What is the relationship between big data and machine learning
9138,9138,Is random forest regression or classification
9139,9139,How can you calculate accuracy using a confusion matrix
9140,9140,What is imbalanced data classification
9141,9141,How do you find the mean of a uniform distribution
9142,9142,What is the mean of the standard uniform distribution
9143,9143,What is the mean and median of a uniform distribution
9144,9144,What is meant by representation
9145,9145,What is the difference between K mean and em
9146,9146,What is EM in machine learning
9147,9147,What is optimization neural network
9148,9148,How do you find the similarity between documents
9149,9149,What are the benefits of deep learning
9150,9150,What is Anova test used for
9151,9151,How do you classify the accuracy of an algorithm
9152,9152,What does the chi square statistic tell us
9153,9153,What is the purpose of a chi square test
9154,9154,How can generalization be improved
9155,9155,Which of the following are components of generalization error
9156,9156,What is generalization error in machine learning
9157,9157,How do you figure out a weighted grade
9158,9158,How is weighted performance score calculated
9159,9159,How would you calculate a weighted mean
9160,9160,What's a good RMSE score
9161,9161,What is logarithmic error
9162,9162,How do you determine an unbiased estimator
9163,9163,What is regression data Modelling
9164,9164,What is an example of outgroup
9165,9165,What are examples of Ingroups and Outgroups
9166,9166,What is an outgroup
9167,9167,What is maximum likelihood used for
9168,9168,How decision tree is used for classification
9169,9169,How classification process is carried out by decision tree induction
9170,9170,What is the role of decision tree in inductive learning
9171,9171,What is univariate and bivariate data
9172,9172,What is Bayesian probability how is it used in research
9173,9173,Is population variance the same as standard deviation
9174,9174,What is the formula for standard deviation of a population
9175,9175,Is standard deviation a population parameter
9176,9176,What technique is considered unsupervised learning quizlet
9177,9177,Which is an example of unsupervised learning
9178,9178,How do you swap variable values
9179,9179,What is an artificial neural network and how does it work
9180,9180,Where artificial neural network is used
9181,9181,What is Perceptron and how it is different from neural network
9182,9182,How are Embeddings learned
9183,9183,How do you use fastText
9184,9184,What is the concept of correlation
9185,9185,Is TensorFlow and keras same
9186,9186,How do I use keras in TensorFlow
9187,9187,How do you find the SVD of a matrix
9188,9188,What is Lift Association rule
9189,9189,How do you calculate support in data mining
9190,9190,What does Joint Distribution mean
9191,9191,What is weighted harmonic
9192,9192,What is the formula for harmonic mean
9193,9193,What is the statistic Moran's I used to measure
9194,9194,What is Local Moran's I
9195,9195,What does spatial autocorrelation tell us
9196,9196,What is the P value in hypothesis testing
9197,9197,What is a multivariate model
9198,9198,What is the difference between multivariate and multiple regression
9199,9199,What is dropout function
9200,9200,What does it mean to fit a model to data
9201,9201,Which regression model best fits the data set
9202,9202,What are analytical tools and techniques
9203,9203,Is residual standard error same as MSE
9204,9204,What is the difference between F distribution and Z distribution
9205,9205,How do you describe a correlation
9206,9206,What are the characteristics of the coefficient of correlation
9207,9207,What is the difference between the Kolmogorov Smirnov test and the chi squared test when should we use one instead of the other
9208,9208,How do you compare two means groups
9209,9209,Which test is used to compare two groups and one variable
9210,9210,What do you mean by gradient descent
9211,9211,What is the meaning of interpolate
9212,9212,What is the use of interpolation
9213,9213,Why is Lasso regression used
9214,9214,What is the difference between sample and sample size
9215,9215,What is sample size in statistics
9216,9216,How do you find the sample size
9217,9217,How do you interpret regression analysis results
9218,9218,Are arithmetic mean and mean different
9219,9219,Which of the following are principles of active learning
9220,9220,What are the four principles of learning
9221,9221,What is preferential bias
9222,9222,What are restriction biases and preference biases and differentiate between them
9223,9223,What are the types of bias
9224,9224,Is an inductor a low pass filter
9225,9225,What makes a high pass filter
9226,9226,How do inductors filter
9227,9227,Does the dependent variable have to be normally distributed
9228,9228,How do you deal with data that is not normally distributed
9229,9229,How can we reduce Overfitting in deep learning
9230,9230,How do you know if a time series is non stationary
9231,9231,What is a non stationary series
9232,9232,Why is preprocessing necessary in image processing
9233,9233,How do you show independence of a random variable
9234,9234,Which of the following is used to distinguish the false positive rate from the false negative rate
9235,9235,How do you create a facial recognition system
9236,9236,How does mutual information help understand meaning
9237,9237,How do you use mutual information
9238,9238,What does regression to the mean mean
9239,9239,What does non stationary mean
9240,9240,What is a non stationary time series
9241,9241,What is difference stationary process
9242,9242,What is meant by centripetal acceleration
9243,9243,How do you find centripetal acceleration
9244,9244,What is LDA in dimensionality reduction
9245,9245,Is Random Forest a classification
9246,9246,How do you use random forest classification
9247,9247,Is Random Forest a predictive model
9248,9248,How do you do a log rank test
9249,9249,What is the Logrank test when is it used and what is the benefit its use involves
9250,9250,How do you find the log rank in R
9251,9251,What does K mean in Knn
9252,9252,What is the condition for Hermitian matrix
9253,9253,Can a real matrix be Hermitian
9254,9254,How do you prove a skew Hermitian
9255,9255,How do you identify the null and alternative hypothesis
9256,9256,How do you define null hypothesis
9257,9257,What is a bad R2 value
9258,9258,How do you determine the reliability and validity of a survey
9259,9259,How do you ensure validity and reliability in assessment
9260,9260,What is the difference between simple random sampling and random sampling
9261,9261,What makes a good randomized controlled trial
9262,9262,What is a good sample size
9263,9263,How do you calculate effect size in RCT
9264,9264,When should I use Spearman correlation
9265,9265,What does stochastic mean
9266,9266,What is sampling error explain with an example
9267,9267,What is sampling error and standard error
9268,9268,What is a sampling universe
9269,9269,What is the difference between universe and population
9270,9270,What does universe mean in statistics
9271,9271,What defines a sample
9272,9272,How do you find the mean of a probability density function
9273,9273,What does the value of a probability density function denote
9274,9274,What is probability density function and its properties
9275,9275,What is true about probability density
9276,9276,What are the conditions for a function to be a probability density function
9277,9277,How do patterns contribute to problem solving
9278,9278,Why is pattern recognition important
9279,9279,What are the applications of pattern recognition
9280,9280,What is the objective of factor analysis
9281,9281,Is NLP deep learning
9282,9282,What is the difference between the Pearson correlation and the Spearman correlation
9283,9283,What is the difference between Spearman and Kendall correlation
9284,9284,What does Spearman correlation mean
9285,9285,When would you use Spearman rank correlation
9286,9286,Why is median better than mean
9287,9287,Why is the median better
9288,9288,When should I use median instead of average
9289,9289,Why is averaging more accurate
9290,9290,Why is SVM effective on high dimensional data
9291,9291,What is SVM What are the limitations of SVM
9292,9292,What's the difference between unconscious bias and implicit bias
9293,9293,Which is best described as descriptive statistics
9294,9294,What is inferential statistics quizlet
9295,9295,How you can decide if an algorithm is better than another algorithm
9296,9296,What makes an algorithm efficient
9297,9297,What are the two main measures for the efficiency of an algorithm
9298,9298,How would you improve the performance of your algorithm in terms of memory efficiency
9299,9299,How do you calculate error in measurement
9300,9300,What are the types of measurement errors
9301,9301,What are dropout layers
9302,9302,How does dropout standardization work
9303,9303,What is the difference between variance and standard error
9304,9304,What is another name for an independent variable in regression
9305,9305,What is the other term of independent variable
9306,9306,What is random walk method
9307,9307,Why is the Randu pseudo random number generator unacceptable
9308,9308,What is a random number generator in statistics
9309,9309,How do you know if normal approximation is appropriate
9310,9310,What are the 4 conditions of a binomial distribution
9311,9311,What is encoder in neural network
9312,9312,What is federated learning model
9313,9313,What is Federated averaging
9314,9314,What do mean by reward & utility function in MDP
9315,9315,What do voltmeters measure
9316,9316,Why is a Gaussian filter preferred to a box filter
9317,9317,How do you do systematic random sampling
9318,9318,What are the problems a decision tree solves
9319,9319,How do you evaluate the performance of a model
9320,9320,How do you evaluate the performance of a regression model
9321,9321,How do you enter data into multiple regression in SPSS
9322,9322,What is stepwise method
9323,9323,Are multicollinearity and autocorrelation the same thing
9324,9324,What is the meaning of autocorrelation
9325,9325,How do you explain Multicollinearity
9326,9326,What is classification accuracy in data mining
9327,9327,What is perplexity in machine learning
9328,9328,How do you evaluate a model in NLP
9329,9329,What is the batch size
9330,9330,How do you analyze logistic regression
9331,9331,Is LDA a generative model
9332,9332,What is correlation and regression analysis
9333,9333,What is meant by correlation analysis
9334,9334,What is the meaning of regression analysis
9335,9335,What is forecasting in ML
9336,9336,What are optimizers in machine learning
9337,9337,What is metric in deep learning
9338,9338,What is meta learning in machine learning
9339,9339,What are the data preprocessing steps
9340,9340,What is the curse of dimensionality and how do you tackle it
9341,9341,What is A and B in uniform distribution
9342,9342,Is Beta 1 a random variable
9343,9343,How do you calculate maximum likelihood
9344,9344,What is Backpropagation in CNN
9345,9345,What is Backpropagation in convolutional neural network
9346,9346,What is explained variance score
9347,9347,How much variance should be explained in factor analysis
9348,9348,How much variation is explained
9349,9349,What are temporal dynamics
9350,9350,How do you do a hierarchical cluster analysis
9351,9351,How do I do a cluster analysis in SPSS
9352,9352,How do you use hierarchical clustering
9353,9353,How do you select the number of clusters in hierarchical clustering
9354,9354,What is the purpose of dropout
9355,9355,How does Monty Hall problem work
9356,9356,What are the disadvantages of hypothesis
9357,9357,How can we minimize the limitations of hypothesis
9358,9358,Can you have a negative chi square value
9359,9359,How do you know if a function is not differentiable
9360,9360,What are the functions of indicators
9361,9361,How do you integrate an indicator function
9362,9362,What are the properties of exponential distribution
9363,9363,What is the purpose of probability distribution
9364,9364,What is stationarity in time series data
9365,9365,How many hidden layers does the following neural network have
9366,9366,Why do neural networks have hidden layers
9367,9367,How do you read a bell curve distribution
9368,9368,What is the bell curve rule
9369,9369,What is an example of bimodal distribution
9370,9370,What might bimodal distribution tell us about our data
9371,9371,Do you use mean or median for bimodal distribution
9372,9372,What does data wrangling mean
9373,9373,What does frequency distribution tell us
9374,9374,What is the value of the appropriate test statistic
9375,9375,What is the standard test statistic
9376,9376,Is the test statistic the Z score
9377,9377,Why is binning used
9378,9378,What is the meaning of binning
9379,9379,When should you do binning
9380,9380,How do you evaluate a clustering algorithm
9381,9381,What does the intercept mean in regression
9382,9382,What does the intercept mean in multiple regression
9383,9383,What is intercept in Excel regression
9384,9384,What is the symbol for the intercept of a regression equation
9385,9385,What are the deep learning frameworks
9386,9386,Is TensorFlow used for deep learning
9387,9387,What is regularization parameter tells in SVM
9388,9388,What is the C parameter in SVM
9389,9389,How statistics can be misleading examples
9390,9390,How can data analytics be misleading
9391,9391,How statistics can be misleading Ted
9392,9392,What is a kernel in machine learning
9393,9393,What are benefits of using kernels in SVM
9394,9394,What is N kg equal to
9395,9395,What unit is kg/m s2
9396,9396,What is neural network forecasting
9397,9397,What is the purpose of the decision tree used to predict the predicted outcome of a neural networks
9398,9398,What's the difference between t interval and z interval
9399,9399,What does t mean in statistics
9400,9400,How do you find the quartile deviation of a class interval
9401,9401,What is assertion rule mining
9402,9402,What is Apriori property discuss with example how this property is maintained in Apriori algorithm
9403,9403,What is the purpose of a vector
9404,9404,What is statistical classification in economics
9405,9405,What is the meaning of statistics
9406,9406,What is classification analysis
9407,9407,What do you mean by analysis of variance
9408,9408,How do you analyze variance
9409,9409,How do you find the probability of a continuous random variable
9410,9410,How do you know if a sample size is statistically valid
9411,9411,What is one tailed and two tailed test with example
9412,9412,When should a one tailed test be used
9413,9413,What is latent space in Gan
9414,9414,How do you do dimensional analysis conversions
9415,9415,How do you do dimensional analysis
9416,9416,How do you convert measurements from one unit to another
9417,9417,How do you find the correlation between two variables in R
9418,9418,How do you calculate correlation r
9419,9419,How do you calculate the relationship between two variables
9420,9420,How do you find correlation matrix in R
9421,9421,Is Arima A ML
9422,9422,Why is stochastic gradient descent
9423,9423,What is the difference between marginal and conditional distribution
9424,9424,What is marginal probability function
9425,9425,How do you know a vector is supported
9426,9426,What does Gini index mean
9427,9427,What is the joint probability distribution of X and Y
9428,9428,What is the joint pdf of X and Y
9429,9429,What is CNN filter
9430,9430,Is RBF linear
9431,9431,What is Gamma in RBF
9432,9432,What is dependent and independent variable in regression
9433,9433,How do you define sample space
9434,9434,How do you find the sample space in statistics
9435,9435,How do you interpret odds ratio in logit
9436,9436,Is logit the same as log odds
9437,9437,How do you convert odds to log odds
9438,9438,Why is coefficient of variation better than standard deviation
9439,9439,What does a high F value mean
9440,9440,How do you find the dissimilarity matrix
9441,9441,What is similarity and dissimilarity matrix
9442,9442,What is dissimilarity in data mining
9443,9443,What do Quantiles tell us
9444,9444,What does quantile measure mean
9445,9445,What is a quantile value
9446,9446,What is the meaning of stratified
9447,9447,What does unstandardized regression coefficient mean
9448,9448,What does the raw score regression coefficient tell you
9449,9449,What does the B coefficient mean in regression
9450,9450,How do you interpret multiple regression coefficients
9451,9451,What is meant by inferential statistics class 11
9452,9452,How do you find outliers in data mining
9453,9453,What are the advantages of reinforcement learning
9454,9454,Why modern deep neural networks work well
9455,9455,How do you find the median of a population
9456,9456,How do you calculate a median
9457,9457,What is median population
9458,9458,What is deep learning good at
9459,9459,How can I make money with deep learning
9460,9460,Should I learn Scikit learn or TensorFlow
9461,9461,What is AB testing and multivariate testing
9462,9462,When would you use a multivariate test
9463,9463,How do you conduct a multivariate test
9464,9464,What is probability explain with an example
9465,9465,What is the output of SVM
9466,9466,Can SVM be used for prediction
9467,9467,What is the formula of mean deviation about median
9468,9468,How do you find the mean median and standard deviation
9469,9469,How do you find the median deviation
9470,9470,How do you find the mean and median
9471,9471,What is the future of artificial intelligence and machine learning
9472,9472,How do you calculate decision rule
9473,9473,What is a decision rule in the context of hypothesis testing
9474,9474,What does it mean if you have a negative correlation coefficient
9475,9475,What is an example of negative correlation
9476,9476,What is Bag of Words NLP
9477,9477,What is the distribution of the random variable
9478,9478,What does the distribution of a variable tell us
9479,9479,What two things does the distribution of a variable describe
9480,9480,How do you find the p value in a permutation test
9481,9481,What is a permutation in statistics
9482,9482,When would you use a randomization test
9483,9483,What is the difference between the arithmetic mean and geometric mean
9484,9484,How does LBPH algorithm work
9485,9485,What is LBP in image processing
9486,9486,What are steps in K means algorithm
9487,9487,What is first moment and second moment
9488,9488,Is Variance The second moment
9489,9489,Why is the first central moment zero
9490,9490,What is the difference between a binomial random variable and a negative binomial random variable
9491,9491,What is a key difference between the binomial distribution and normal distribution
9492,9492,What is gradient in logistic regression
9493,9493,What is gradient descent in regression
9494,9494,How do you do gradient descent in logistic regression
9495,9495,What is meant by gradient descent
9496,9496,What is the difference between the formula for sample variance and population variance
9497,9497,Does sample variance equal population variance
9498,9498,What does population variance mean
9499,9499,What is the difference between sample and population in standard deviation
9500,9500,Is looking an action word
9501,9501,How can sampling and non sampling errors be reduced
9502,9502,How sampling errors can be reduced quizlet
9503,9503,How do you find y hat in linear regression
9504,9504,What is Y hat in regression equation
9505,9505,How do you calculate Y in regression
9506,9506,What is Y minus Y hat
9507,9507,What is meant by standard deviation in statistics
9508,9508,Does the mean affect standard deviation
9509,9509,What is the difference between regression analysis and correlation analysis
9510,9510,What is the difference between correlation and regression PDF
9511,9511,What is regression and correlation in statistics
9512,9512,What is difference between correlation and causation
9513,9513,How do you measure consistency of data in statistics
9514,9514,What is explainable AI example
9515,9515,What is explainable AI principle
9516,9516,What is transparency in machine learning
9517,9517,What is the purpose of metrics
9518,9518,How does SVM work in image processing
9519,9519,What is a good likelihood ratio
9520,9520,What is a neural network model
9521,9521,What is the meaning of selection bias
9522,9522,What are data preprocessing methods
9523,9523,What is pooling in neural network
9524,9524,What is pooling machine learning
9525,9525,Can SGD solve dimensionality reduction
9526,9526,Where can you find a lurking variable
9527,9527,Is gender a lurking variable
9528,9528,What is temporal data mining
9529,9529,What is spatial temporal data
9530,9530,What is spatial data mining
9531,9531,What is spatial and temporal variability
9532,9532,What is the impact of measurement error on studies
9533,9533,What causes error in measurements
9534,9534,How does measurement error affect reliability
9535,9535,How do you analyze a box plot
9536,9536,What can a box plot tell you
9537,9537,What are constraints in problem solving
9538,9538,How do you calculate FDR from P value
9539,9539,How do you analyze time series
9540,9540,How do you represent time series data
9541,9541,Why is p value important in statistics
9542,9542,What is the advantage of P value approach over critical value approach
9543,9543,What are the uses and limitations of P value
9544,9544,How do you predict a linear regression in R
9545,9545,How do you predict a value in linear regression
9546,9546,How do you interpret regression results in R
9547,9547,What does a kernel function do
9548,9548,What is the linear kernel
9549,9549,How do you know if its descriptive or inferential
9550,9550,When would you use inferential statistics
9551,9551,Why would one use descriptive statistics vs inferential statistics
9552,9552,Is mutual information a metric
9553,9553,How do you calculate information
9554,9554,What is the difference between regression and classification
9555,9555,Is logistic regression a linear classifier
9556,9556,Is logistic regression a classification method
9557,9557,How do you interpret principal component analysis
9558,9558,How do you interpret the principal component analysis in SPSS
9559,9559,How do you report the results of principal component analysis
9560,9560,What is a B testing used for
9561,9561,What is the difference between hypothesis and hypothesis testing
9562,9562,What is an output
9563,9563,How do you know if a function is input and output
9564,9564,How do you test for reliability
9565,9565,What is the loss function in regression
9566,9566,What are the different loss functions
9567,9567,What are the requirements for algorithms
9568,9568,How do you practice algorithms
9569,9569,How do you convert standard deviation to population standard deviation
9570,9570,How do you find the estimated standard deviation
9571,9571,How do you find the population standard deviation given the mean
9572,9572,What do you mean by instance based learning
9573,9573,What is instance in algorithm
9574,9574,What is a message queue and when would one be useful
9575,9575,What is the difference between a discrete and a continuous distribution
9576,9576,Is Poisson distribution discrete
9577,9577,Can normal distribution be discrete
9578,9578,What is difference between entropy and enthalpy
9579,9579,Why entropy is Q T
9580,9580,Is entropy positive or negative
9581,9581,What is the difference between a nerve and a neuron
9582,9582,What do chunking mean
9583,9583,What is chunking How does it work
9584,9584,What is chinking in NLP
9585,9585,What is Optimizer in machine learning
9586,9586,WHY A * is optimal
9587,9587,WHY A * algorithm is better than BFS
9588,9588,WHY A * algorithm is popular
9589,9589,When an A * search algorithm is optimal
9590,9590,Is deep learning unsupervised machine learning
9591,9591,What is a spatiotemporal model
9592,9592,What is spatiotemporal data
9593,9593,What is meant by linear time invariant system
9594,9594,What is considered a weak correlation
9595,9595,Is 0.2 A weak correlation
9596,9596,How does Association rule qualify & list out its measures
9597,9597,How does neural network determine activation function
9598,9598,How do you choose activation function
9599,9599,What are some examples of data analysis
9600,9600,How do you start an analysis
9601,9601,What is the relationship between machine learning and artificial intelligence
9602,9602,What is the difference between AI and ML quizlet
9603,9603,What is the purpose of using a hashing algorithm with files
9604,9604,How do you find theoretical and experimental probability
9605,9605,What is the theoretical probability of rolling a 4
9606,9606,What is the nonparametric equivalent to the t test
9607,9607,What is Bayesian statistics
9608,9608,How do you know if a sample is representative
9609,9609,How do you decide a sample size for a representative
9610,9610,What is representative sampling
9611,9611,What percentage is considered a representative sample
9612,9612,What is regression explain with example
9613,9613,What are two types of sampling errors
9614,9614,What are sampling errors in statistics
9615,9615,What are the sources of error in sampling
9616,9616,What is λ in math
9617,9617,What is lambda in Poisson
9618,9618,What is lambda in an exponential distribution
9619,9619,How does median filter work
9620,9620,How is deep learning algorithm implemented
9621,9621,How do you apply deep learning
9622,9622,What are deep learning methods
9623,9623,What is meant by decision tree
9624,9624,What is decision tree in data science
9625,9625,What is the use of sigmoid function
9626,9626,How does sigmoid work
9627,9627,Why sigmoid functions are used in logistic regression
9628,9628,What does a regression mean
9629,9629,What is an example of regression problem
9630,9630,What does the slope of a regression line tell us
9631,9631,Is the slope of the regression line positive or negative
9632,9632,What does it mean to interpret the slope
9633,9633,Why is backpropagation used
9634,9634,What is the true meaning of intelligence
9635,9635,What is the meaning of intelligent
9636,9636,What is adaptive noise cancellation beats
9637,9637,What is the difference between adaptive and active noise Cancelling
9638,9638,How do you find non probability sampling
9639,9639,How do you describe frequency distribution
9640,9640,How do you interpret relative frequency
9641,9641,What do you mean by association rules for what purpose it is being used explain with example
9642,9642,What is Association in unsupervised learning
9643,9643,What is Association in data mining
9644,9644,Is Association rule supervised or unsupervised
9645,9645,What makes a neural network convolutional
9646,9646,What are the steps in convolutional neural network
9647,9647,How can we prevent selection bias in research
9648,9648,How do you control for biases
9649,9649,How do you minimize selection bias in a case control study
9650,9650,What is logit value
9651,9651,What does a standard normal distribution tell us
9652,9652,What is the purpose of standard normal distribution
9653,9653,What are the main characteristics of standard normal distribution
9654,9654,What does Frequentist mean
9655,9655,Is machine learning frequentist or Bayesian
9656,9656,Is Gaussian process machine learning
9657,9657,Is Gaussian a Bayesian process
9658,9658,In which algorithm feature scaling is important
9659,9659,How do you find the p value for a Fisher's exact test
9660,9660,What is Fisher's P value
9661,9661,What is null hypothesis in epidemiology
9662,9662,How does neural net work
9663,9663,How a neural network is trained
9664,9664,How does a deep neural network work
9665,9665,How do you use a neural network
9666,9666,How does a histogram of oriented gradients work
9667,9667,How do you calculate the hog feature vector
9668,9668,What are the types of neural network
9669,9669,What is neural network architecture give its types and explain them
9670,9670,What are the benefits of BRCA testing
9671,9671,Which is worse BRCA1 or BRCA2
9672,9672,What is the role of BRCA1 and BRCA2
9673,9673,What is vanishing and exploding gradient problem
9674,9674,What is the use of K nearest neighbors algorithm
9675,9675,What are the characteristics of K NN algorithm
9676,9676,How do you find the eigenfunction of an operator
9677,9677,What is the difference between regular and conditional probability
9678,9678,What is the difference between P a B and P B A
9679,9679,Is AZ score a standard deviation
9680,9680,What are the characteristics of a normal curve in statistics
9681,9681,What does the term normal curve mean
9682,9682,What are the 4 conditions to be normal curve
9683,9683,How do you draw a normal curve
9684,9684,How do you know if its Binisial or poisson
9685,9685,What is supervised learning and unsupervised learning give examples of each
9686,9686,Is Random Forest is an example of unsupervised machine learning
9687,9687,What is the random error
9688,9688,How does a Markov chain work
9689,9689,Which is better Sklearn or TensorFlow
9690,9690,What is local minima problem
9691,9691,What is local minima in neural network
9692,9692,What is local and global minima
9693,9693,What do you mean by order statistics
9694,9694,Which filter has order statistics and averaging properties
9695,9695,Is Gan deep learning
9696,9696,What is the midrange in statistics
9697,9697,How do you find the mid range value
9698,9698,Where is the mid range
9699,9699,What is transformation in machine learning
9700,9700,What does features mean in machine learning
9701,9701,How do you calculate B or PA
9702,9702,How do you measure Gan
9703,9703,How do you train Gan
9704,9704,Who invented logistic regression
9705,9705,Why is it called logistic regression
9706,9706,Where logistic regression is used
9707,9707,How is logistic regression done
9708,9708,When would you use a nonparametric test
9709,9709,For what types of data would you use nonparametric versus parametric statistics
9710,9710,What is difference between Collinearity and correlation
9711,9711,Does correlation imply Collinearity
9712,9712,How do you identify Multicollinearity
9713,9713,How do you solve a vanishing gradient problem
9714,9714,What is DBN in deep learning
9715,9715,How do you calculate the expected value of a random variable
9716,9716,Are uncorrelated variables independent
9717,9717,What variable is uncorrelated but dependent
9718,9718,Is a normal distribution independent
9719,9719,What is the definition of quality according to Genichi Taguchi
9720,9720,What does the Wilcoxon rank sum test do
9721,9721,How does discrete wavelet transform work
9722,9722,What is the difference between continuous and discrete wavelet transform
9723,9723,What does the Z test statistic mean
9724,9724,Why do we use Z statistic
9725,9725,What specifically does a Z score of tell you about a data point
9726,9726,What is the purpose of factor analysis in the test construction process
9727,9727,What is the most common measure of distance used with K means clustering algorithms
9728,9728,How do you find the variance ratio
9729,9729,What is variance ratio test in statistics
9730,9730,Which test is also known as variance ratio test
9731,9731,What is the F factor in statistics
9732,9732,Does kaneki tell hide He's a ghoul
9733,9733,What is log normal return
9734,9734,Are log returns normally distributed
9735,9735,How is entropy calculated in information theory
9736,9736,What does it mean when something is central
9737,9737,How do you use Central in a sentence
9738,9738,What is the role of AI
9739,9739,What is the action of task environment in AI
9740,9740,What is neuroplasticity and how does it work
9741,9741,Do stock returns follow normal distribution
9742,9742,Why stock return distribution is not a normal curve
9743,9743,Are asset returns normally distributed
9744,9744,What is expected error
9745,9745,How do you calculate standard error and expected value
9746,9746,How do you calculate data error
9747,9747,What is the main difference between a T test and an F test in Anova
9748,9748,What is the key difference between one way Anova and a t test quizlet
9749,9749,Which noise is reduced by median filter
9750,9750,Why median filter is used in image processing
9751,9751,What are the discrete distributions
9752,9752,What is discrete probability distribution example
9753,9753,What is a chi square test used for
9754,9754,What does the chi square statistic mean
9755,9755,What is the advantage of using an odd value of k in binary classification problems using KNN algorithm
9756,9756,What is knowledge base in expert system
9757,9757,What is bad about big data
9758,9758,What is dataset in spark with example
9759,9759,What is difference between DataFrame and dataset
9760,9760,Can artificial intelligence replace human
9761,9761,What is a statistic in a study
9762,9762,What is an example of a statistical experiment
9763,9763,How do you find correlation coefficient on calculator
9764,9764,What is correlation and how do you calculate it
9765,9765,What are the consequences of Heteroskedasticity on the properties of the least squares estimators
9766,9766,Which algorithm is efficient
9767,9767,How do you know which algorithm is better
9768,9768,What does it mean to say one algorithm is more efficient than another
9769,9769,What is precision in machine learning
9770,9770,What is the difference between accuracy and precision
9771,9771,Why do we use bivariate correlation
9772,9772,Why do we use bivariate analysis
9773,9773,When should you use a correlation
9774,9774,What are the properties of distribution function
9775,9775,What is the range of values of the cumulative distribution function
9776,9776,How do you interpret a dummy variable in regression
9777,9777,What is the dummy variable trap
9778,9778,What is dummy coding in regression
9779,9779,How many dummy variables can I have in a regression
9780,9780,What is naive Bayes in machine learning
9781,9781,What machine learning task is the naive Bayes algorithm used for
9782,9782,What are common algorithms of deep learning
9783,9783,How do you interpret odds ratio in SPSS
9784,9784,How do you find the interval on a histogram
9785,9785,What does interval mean in histogram
9786,9786,Do histograms show intervals
9787,9787,What is an interval in a frequency table
9788,9788,Can TensorFlow be used for machine learning
9789,9789,What does SPSS stand for
9790,9790,What is a receptive field in CNN
9791,9791,How do you read ratio scales
9792,9792,Is neural network machine learning algorithm
9793,9793,What is neural learning
9794,9794,What is meant by real time processing
9795,9795,What is batch and real time processing
9796,9796,What is meant by real time
9797,9797,How do you remember precision and recall
9798,9798,When estimating the population mean with small sample
9799,9799,When estimating the population mean with a small sample the T distribution may be used with
9800,9800,How do you estimate the population standard deviation of a sample
9801,9801,How do you find the sample mean from population mean and standard deviation
9802,9802,What is hypothesis space in machine learning
9803,9803,Is IQ a ratio or interval
9804,9804,What is an example of an interval scale
9805,9805,Is IQ a ratio
9806,9806,How do you run a regression for a categorical variable
9807,9807,What is L1 and L2 loss
9808,9808,What is hierarchical method in data mining
9809,9809,What is hierarchical method for clustering explain Birch method
9810,9810,What is produced by hierarchical clustering
9811,9811,Why gradient boosting is better than random forest
9812,9812,What is the use of gradient descent
9813,9813,Why do neural networks use gradient descent
9814,9814,What is cost function and gradient descent
9815,9815,What is the reason of binocular disparity in visual sensation
9816,9816,How do you find depth from disparity
9817,9817,What is the use of multiset
9818,9818,What is partial least square method
9819,9819,Which of the following algorithm is used to predict continuous values
9820,9820,Should I use TensorFlow
9821,9821,What is the use of TensorFlow in Python
9822,9822,What is the role of planning in AI
9823,9823,What is planning in artificial intelligence
9824,9824,What are the components of planning system in AI
9825,9825,What is feature extraction in NLP
9826,9826,Can data be biased
9827,9827,What is probability mass function and probability density function
9828,9828,How do you combine probability
9829,9829,Can you add two normal distributions
9830,9830,How do you find the joint probability distribution function
9831,9831,What is geometric distribution formula
9832,9832,What is the purpose of support vector machines
9833,9833,What does Pvq mean
9834,9834,What is a regression test used for
9835,9835,What is the input variable called
9836,9836,What is an input value
9837,9837,Can we perform linear regression with a neural network
9838,9838,Is neural network a linear model
9839,9839,Which of the following distance metric is used in K means algorithm
9840,9840,What is true for K means algorithm
9841,9841,What is a gradient filter
9842,9842,How do you find the gradient of an image
9843,9843,What is Sobel filter in image processing
9844,9844,What causes a data set to be skewed
9845,9845,What does it mean if data is skewed left
9846,9846,What is the difference between security group and network ACL
9847,9847,What is the difference between NACLs and security groups
9848,9848,When would you utilize security groups rather than network ACLs
9849,9849,How do you compare two Bayesian models
9850,9850,How would you prepare text data for deep learning with keras
9851,9851,How does NLP prepare data
9852,9852,How do you handle text data
9853,9853,Is deep learning suitable for text analysis
9854,9854,What makes a good feature machine learning
9855,9855,How do you find the distance between two matrices
9856,9856,How do you find the similarity between two matrices
9857,9857,How do you explain Lasso regression
9858,9858,Is neural networks part of machine learning
9859,9859,Does all AI use neural networks
9860,9860,What is the main difference between parametric and nonparametric statistics
9861,9861,What is the meaning of parametric statistics
9862,9862,What is called calibration
9863,9863,What is calibration with example
9864,9864,What is meant by calibration of an instrument
9865,9865,What is the purpose of calibration
9866,9866,What is the use of covariance matrix
9867,9867,What kind of information do we get from covariance
9868,9868,When should one use covariance and correlation
9869,9869,What is the difference between variance and covariance
9870,9870,How do I do simple logistic regression in SPSS
9871,9871,What is a simple logistic regression
9872,9872,How do you write a logistic regression
9873,9873,How do you calculate odds ratio in logistic regression SPSS
9874,9874,What is information gap theory
9875,9875,What condition is available in decision theory
9876,9876,What is inference engine in expert system
9877,9877,What is the role of inference engine in expert system
9878,9878,Is PCA a type of factor analysis
9879,9879,What is the input to the machine learning model
9880,9880,What is a data point in machine learning
9881,9881,What is decomposition analysis statistics
9882,9882,What is classical decomposition
9883,9883,How does the batch size affect the training process
9884,9884,How do you write an association rule
9885,9885,What is Association mining used for
9886,9886,How are association rules mined large databases
9887,9887,How do you show an operator is linear
9888,9888,How do you find the norm of a linear functional function
9889,9889,What is the value of 1 sigma
9890,9890,What is the 3 sigma value
9891,9891,What is a good sigma score
9892,9892,What is an acceptable sigma level
9893,9893,What is the difference between an algorithm and a model in machine learning
9894,9894,What defines a random variable
9895,9895,Is loss a function
9896,9896,Why accuracy Cannot be used as a loss function
9897,9897,Does decision trees require normalization
9898,9898,Is it required to scale the data for the decision trees model Why
9899,9899,Is it necessary to normalize data for random forest
9900,9900,How is Bernoulli variance calculated
9901,9901,How do you find the variance of a binomial distribution
9902,9902,What is the difference between recursive and non recursive system
9903,9903,What does non recursive mean
9904,9904,What are non recursive procedures
9905,9905,What is unbiased estimator of population variance
9906,9906,How do you find the unbiased estimate of a population mean
9907,9907,What is the estimated population variance
9908,9908,What is the range of area under the ROC curve
9909,9909,How do you choose the threshold on a ROC curve
9910,9910,What can you conclude from a histogram
9911,9911,What do you mean by sampling
9912,9912,What is sampling in machine learning
9913,9913,What is sampling and types of sampling
9914,9914,What is sampling in big data
9915,9915,How does gradient boosting classifier work
9916,9916,Is gradient boosting supervised or unsupervised
9917,9917,How do I get started with predictive analytics
9918,9918,Where is the best place to use predictive analytics
9919,9919,How do you know if its correlation or causation
9920,9920,What is an example of correlation and causation
9921,9921,What correlation establishes causation
9922,9922,How can decision tree be improved
9923,9923,How can we improve random forest
9924,9924,What are the 2 types of learning in machine learning
9925,9925,What is the expected value of a random variable quizlet
9926,9926,What is convenience random sampling
9927,9927,Is a random sample really better than a convenience sample
9928,9928,What is the difference between a convenience sample and a representative sample
9929,9929,Is convenience sampling biased
9930,9930,Why Kalman filter is called a filter
9931,9931,What is innovation in Kalman filter
9932,9932,How do you know if its a two tailed test
9933,9933,What is correlation in statistics example
9934,9934,How is correlation calculated
9935,9935,What is correlation in statistics formula
9936,9936,What is the loss function used in logistic regression
9937,9937,What is receptive field
9938,9938,What is the purpose of the receptive field in a CNN
9939,9939,Why is randomness important in statistics
9940,9940,What is randomness in research
9941,9941,Which clustering algorithms are used to cluster large data set
9942,9942,What is meant by false positives
9943,9943,Is false positive rate the same as specificity
9944,9944,What is PCA feature extraction
9945,9945,What is moving average forecasting
9946,9946,What is moving average with example
9947,9947,What data is needed for regression analysis
9948,9948,Can I use linear regression for time series
9949,9949,What is regression analysis when would you use it
9950,9950,How do you convert discrete to continuous
9951,9951,How do you make a data continuous
9952,9952,Why Lstm is better than Arima
9953,9953,How is AUC ROC calculated
9954,9954,What is a log squared
9955,9955,Why do we use log2
9956,9956,What is log 2 to the base 10
9957,9957,What are the different fields of artificial intelligence
9958,9958,What are the careers in artificial intelligence
9959,9959,How can you improve location accuracy
9960,9960,Which of following is recursive system
9961,9961,What is recursive discrete time system
9962,9962,What makes multivariate analysis different from univariate analysis
9963,9963,What is univariate and bivariate
9964,9964,Is machine learning and neural networks the same thing
9965,9965,What is the relationship between AI and machine learning
9966,9966,How can predictive models be improved
9967,9967,Why are duplicate meta descriptions bad
9968,9968,Is AdaBoost an ensemble learning algorithm
9969,9969,What is the opposite of disparate
9970,9970,How are neural networks trained
9971,9971,Does Q learning use value based or policy based iteration
9972,9972,Is value iteration reinforcement learning
9973,9973,What is Q learning in reinforcement learning
9974,9974,What is validation in neural network
9975,9975,What is sequential search in data structure
9976,9976,What is selection in algorithm
9977,9977,What is spatial correlation in image processing
9978,9978,What does kappa value mean
9979,9979,What is kappa value in confusion matrix
9980,9980,What are linear operators
9981,9981,Why artificial neural network is used
9982,9982,What is an artificial neural network and for what types of problems can it be used
9983,9983,What is the function of a neural network
9984,9984,Why is Overfitting bad
9985,9985,What is an activation function in neural network
9986,9986,What is activation in machine learning
9987,9987,What is activation in CNN
9988,9988,Can SVM be used for image classification
9989,9989,What is inverse of covariance matrix
9990,9990,What is Covariation in statistics
9991,9991,What does the covariance matrix tell you
9992,9992,What is correlation and covariance in statistics
9993,9993,What is frequent itemset
9994,9994,How does Apriori algorithm find frequent Itemsets
9995,9995,What is CNN gradient
9996,9996,How do you calculate precision and recall for object detection
9997,9997,What is a two way chi square test
9998,9998,What is the difference between a chi square test of homogeneity and independence
9999,9999,What is chi square test and its application
10000,10000,What is ML inference
10001,10001,What is edit distance problem
10002,10002,What is string editing in DAA
10003,10003,Is Gradient the same as correlation coefficient
10004,10004,What is the relationship between slope and correlation
10005,10005,Is 0.79 A strong correlation
10006,10006,Why do we use stratified random sampling
10007,10007,How do you use stratified sampling
10008,10008,What is stratified sampling used to accurately estimate
10009,10009,How does Decision Tree Work example
10010,10010,How does the N armed bandit problem help with reinforcement learning
10011,10011,What is contextual bandit
10012,10012,Is a data visualization tool
10013,10013,How do you identify machine learning opportunities
10014,10014,How do you test a machine learning system
10015,10015,What do you know about machine learning
10016,10016,What is risk based algorithm
10017,10017,How do you find the risk function
10018,10018,What are the issues in machine learning
10019,10019,What is mean by estimating
10020,10020,What is Embeddings in NLP
10021,10021,What are Embeddings in machine learning
10022,10022,How word Embeddings are created
10023,10023,Is Random Forest an ensemble
10024,10024,Why random forest is considered as an ensemble approach
10025,10025,Which method is used for creating an ensemble of models in random forest
10026,10026,What is Bayesian modeling
10027,10027,What is the meaning of Bayesian
10028,10028,How will artificial intelligence affect the future
10029,10029,How variance is calculated
10030,10030,What is the symbol for variance in statistics
10031,10031,Which test is used for variance
10032,10032,What is difference between machine learning and data mining
10033,10033,Is deep learning a branch of data mining
10034,10034,Does data mining use machine learning
10035,10035,What is receptive field CNN
10036,10036,How does CNN calculate receptive fields
10037,10037,How does the matrix work
10038,10038,How do you reject the null hypothesis from Z test
10039,10039,How do you find the z score and rejection region
10040,10040,How do you interpret Fisher's exact test in SPSS
10041,10041,What is local minima and global minima
10042,10042,What is local minima in back propagation algorithm
10043,10043,Which one is the application of many to one recurrent neural networks
10044,10044,Why do we need federated learning
10045,10045,What are the two types of ethical theories
10046,10046,What is the difference between normative and descriptive ethics
10047,10047,What is the difference between regression and classification machine learning algorithms
10048,10048,How does Manova differ from Anova
10049,10049,When would you use a two way Anova
10050,10050,What is a regression effect
10051,10051,What are the six examples of fallacy
10052,10052,What is the property of representation of knowledge
10053,10053,What are the techniques of knowledge representation
10054,10054,What is term matrix and term matrix in NLP
10055,10055,How do you find a normal score
10056,10056,What is a good t score in statistics
10057,10057,Which is best for binary classification
10058,10058,What does binning mean in astrophotography
10059,10059,What is relative frequency table in statistics
10060,10060,Why is the standard deviation of Z scores 1
10061,10061,What is the z score of 1
10062,10062,How do you find the Z score with only the standard deviation
10063,10063,What is data reduction techniques
10064,10064,What is the example of data reduction algorithm
10065,10065,Why are data reduction techniques applied on a given dataset
10066,10066,What is the NLP used for
10067,10067,Which of these are NLP engines
10068,10068,What is difference between NLP and NLU
10069,10069,How do you use the exponential decay model
10070,10070,How do you find the exponential decay model
10071,10071,How do you calculate decay rate
10072,10072,What is the difference between mean and mean deviation
10073,10073,How do you find the mean absolute deviation
10074,10074,What is absolute variance
10075,10075,Is Topic modeling unsupervised
10076,10076,What are large datasets
10077,10077,Is OCR deep learning
10078,10078,How do you explain logistic regression for dummies
10079,10079,What is binning method in data mining
10080,10080,What are the types of binning techniques
10081,10081,What is binning in machine learning
10082,10082,Which is dependent variable
10083,10083,When would you use a high pass filter
10084,10084,What does a high pass filter do to an image
10085,10085,What does a multivariate analysis show
10086,10086,How do you describe population distribution in statistics
10087,10087,What is the meaning of population distribution
10088,10088,What are filters in deep learning
10089,10089,How do I select filters on CNN
10090,10090,How do I know what statistical test to use
10091,10091,What kind of statistical test should I use to compare two groups
10092,10092,How do I choose an appropriate statistical test in SPSS
10093,10093,What is the explanatory variable quizlet
10094,10094,What does response variable mean
10095,10095,Is the explanatory variable dependent
10096,10096,What is random signal analysis
10097,10097,How do you calculate accuracy of object detection
10098,10098,How is the formula for the sample variance different from that of the population variance
10099,10099,Why the formulas for sample variance and population variance are different
10100,10100,How do neural networks increase accuracy
10101,10101,How does a neural network work example
10102,10102,What is meant by K Nearest Neighbor algorithm
10103,10103,Which variable would you use as the explanatory variable
10104,10104,Which of the following best describes the term explanatory variable
10105,10105,What is an explanatory variable quizlet
10106,10106,How does a Gaussian process work
10107,10107,What is Embeddings in Tensorflow
10108,10108,What is embedding in CNN
10109,10109,What are the advantage of neural network
10110,10110,How do you find the probability from a frequency table
10111,10111,What is training error
10112,10112,What is the training error of the decision tree
10113,10113,What is the type of data for the dependent variable in a logistic regression
10114,10114,Is the dependent variable binary in logistic regression
10115,10115,What types of independent variables can be examined in a logistic regression model
10116,10116,Can you use categorical variables in logistic regression
10117,10117,What is linear smoothing filter
10118,10118,How do you define reward in reinforcement learning
10119,10119,What is voting in machine learning
10120,10120,How do you ensemble a machine learning model
10121,10121,What is a matrix in linear algebra
10122,10122,What does a matrix represent
10123,10123,What is matrix used for
10124,10124,How do you describe a matrix
10125,10125,Why is Max pooling used
10126,10126,What is pooling layer
10127,10127,What does unimodal and bimodal mean
10128,10128,What are examples of active learning
10129,10129,What is active learning strategy
10130,10130,What is an example of correlational research
10131,10131,What is a univariate time series
10132,10132,What is univariate and multivariate time series
10133,10133,What are time series forecasting methods
10134,10134,Is Knn a linear model
10135,10135,Is K nearest neighbors a linear classifier or non linear
10136,10136,What is the singularity theory
10137,10137,Is maximizing probability same as minimizing perplexity
10138,10138,What is batch size in Lstm
10139,10139,What does an R squared value of 0.6 mean
10140,10140,What is a good R squared value for linear regression
10141,10141,What is another name for dimensional analysis
10142,10142,Why is it called dimensional analysis
10143,10143,What is dimensional analysis class 11
10144,10144,What does lambda in statistics mean
10145,10145,What to do if Box's M is significant
10146,10146,What is a discriminant variable
10147,10147,Which of the following are the assumptions of discriminant analysis
10148,10148,What is scalar and vector with examples
10149,10149,What is a general linear model Anova
10150,10150,What is the difference between linear regression and general linear model
10151,10151,How does a decision tree make decisions
10152,10152,How do you make a decision tree model
10153,10153,What is the difference between inductive and deductive reasoning quizlet
10154,10154,How do I load Mnist data
10155,10155,How do I load Mnist dataset in PyTorch
10156,10156,Can bimodal data be normally distributed
10157,10157,What does it mean when data is bimodal
10158,10158,How do you transform data for equal variance
10159,10159,What is clustering and their different types
10160,10160,What is clustering and its types in data mining
10161,10161,How do you evaluate naive Bayes classifier
10162,10162,Why do naive Bayesian classifiers perform so well
10163,10163,What is the naive assumption in a naive Bayes classifier
10164,10164,Why is it important for a sampling distribution for sample means or sample proportions to be normal
10165,10165,What does AUC mean in statistics
10166,10166,What is a pattern in Machine Learning
10167,10167,Is Kronecker delta an isotropic tensor
10168,10168,What is the difference between Dirac delta and Kronecker delta
10169,10169,Is Levi Civita a tensor
10170,10170,What is Kronecker delta Orthonormality
10171,10171,Which generation uses the concept of AI
10172,10172,Who used the term artificial intelligence
10173,10173,What is data visualization techniques
10174,10174,What are the techniques of Visualisation
10175,10175,What are the two basic types of data visualization
10176,10176,What are the types of visualization
10177,10177,How do you compare two datasets with different sample sizes
10178,10178,How do you compare two groups
10179,10179,How do I match two data sets in R
10180,10180,What are the uses of algorithms
10181,10181,What is algorithm and its importance
10182,10182,Why do we use sampling distribution
10183,10183,What is Gamma in Q learning
10184,10184,How do we control variables
10185,10185,Is AlphaGo a machine learning
10186,10186,How does a multinomial distribution differ from a binomial distribution
10187,10187,Is D DX a linear operator
10188,10188,Are residuals uncorrelated
10189,10189,How do we measure the efficiency of an algorithm
10190,10190,What is the efficiency of an algorithm
10191,10191,What are the features of an efficient algorithm
10192,10192,Can mode be calculated for grouped data with unequal classes
10193,10193,What is the difference between uniform and non uniform quantization
10194,10194,What is uniform quantization process
10195,10195,Why non uniform quantization is preferred
10196,10196,What is non linear quantization
10197,10197,Can we use KNN for image classification
10198,10198,What is Knn in image processing
10199,10199,What does sampling frame represent
10200,10200,Why do we need a sampling frame
10201,10201,Which sampling method requires a frame
10202,10202,How do you convert a stationary to a non stationary time series
10203,10203,What is the difference between H0 and Ha
10204,10204,What is Synset in WordNet
10205,10205,What is WordNet in Python
10206,10206,Who invented WordNet
10207,10207,How is sense defined in WordNet explain with example
10208,10208,How is MMSE calculated
10209,10209,Can the mean square error of a linear predictor be zero
10210,10210,How is randomness measured
10211,10211,How do you calculate the CDF of a uniform distribution
10212,10212,How do you sample from a multivariate Gaussian
10213,10213,How do you calculate class boundaries
10214,10214,What are the class boundaries in statistics
10215,10215,How do I know if my data is bimodal
10216,10216,Which graph can show multimodal distribution
10217,10217,Where is the mean in a bimodal distribution
10218,10218,Why is sample proportion unbiased
10219,10219,Is standard deviation a biased estimator
10220,10220,What does RBF kernel do
10221,10221,How do you use the empirical rule example
10222,10222,Can you use the empirical rule for data distributions that are both normal and skewed
10223,10223,Can the empirical rule be applied to any distribution
10224,10224,Why does P value decrease as sample size increases
10225,10225,Does sample size affect P value
10226,10226,How does sample size affect probability
10227,10227,What is Ber in networking
10228,10228,How do you interpret Pearson correlation
10229,10229,What does it mean for two random variables to be independent
10230,10230,What does it mean if variables are independent
10231,10231,What is generative deep learning
10232,10232,Under which of the following conditions would you need to use the Fisher's exact test instead of the chi square test
10233,10233,What is the test statistic for Fisher exact test
10234,10234,What is the multiplication law in probability
10235,10235,What is state of the art in machine learning
10236,10236,What is a deep convolutional neural network
10237,10237,How CNN works in deep learning
10238,10238,What is a deep CNN
10239,10239,When did Bayesian inference become Bayesian
10240,10240,What is Bayes theorem and when can it be used
10241,10241,Is PCA a clustering algorithm
10242,10242,What type of machine learning is clustering
10243,10243,What is a good score for the 11 plus
10244,10244,Is the 11+ an IQ test
10245,10245,What is the use of gamma distribution
10246,10246,What does a gamma distribution model
10247,10247,What is post processing in data mining
10248,10248,What is the conjugate prior distribution of the hypergeometric model
10249,10249,What happens to standard error when sample size doubles
10250,10250,What factors affect standard error
10251,10251,How does sample size affect normal distribution
10252,10252,Is transfer learning supervised
10253,10253,Are neural networks supervised or unsupervised
10254,10254,What if independent variable is not significant
10255,10255,What if control variables are not significant
10256,10256,What does it mean when an interaction is not significant
10257,10257,What is partition based clustering
10258,10258,Which of the following algorithm is used for partitioning the cluster
10259,10259,What are the partitioning methods
10260,10260,How do you find the N in a binomial distribution
10261,10261,How do you find the P and Q of a binomial distribution
10262,10262,What does the R stand for in the binomial probability formula
10263,10263,Which of these forms is known as modus Ponens
10264,10264,What do you mean by expectation of a random variable
10265,10265,What are expectations of a function of random variables
10266,10266,What is supervised learning machine learning
10267,10267,What is the advantage of unsupervised learning
10268,10268,What does univariate mean in statistics
10269,10269,What is univariate analysis SPSS
10270,10270,How do you find the mean median and mode of a class interval
10271,10271,When should you use mode median and mode
10272,10272,How do you create a logistic model
10273,10273,What is logistic function in math
10274,10274,How moment of inertia is tensor
10275,10275,What is moment of inertia class 11
10276,10276,What is the difference between correlation and causation
10277,10277,What is the difference between Class ABC IP addresses
10278,10278,What is IP address and its classification
10279,10279,How do you use a TensorFlow Tensorboard
10280,10280,How do you view a Tensorboard
10281,10281,How do you visualize a graph in Tensorboard
10282,10282,Why is data collection Dangerous
10283,10283,What are some pros and cons to data mining
10284,10284,Is log a linear function
10285,10285,What are the parts of box model and discuss each parts
10286,10286,What does tensor mean
10287,10287,Is LDA generative or discriminative
10288,10288,How do you know if something is biased or unbiased
10289,10289,Is gradient descent linear regression
10290,10290,What is the meaning of quantized
10291,10291,How do you reduce dimensionality of data
10292,10292,What part of math is logarithms
10293,10293,Which problems comes under classification
10294,10294,What is classification and regression problem
10295,10295,What is classification in neural network
10296,10296,What is the purpose of at test
10297,10297,Why would you use at test instead of Az test
10298,10298,What is an example of at test
10299,10299,Is genetic algorithm AI
10300,10300,In what situations do we use nonparametric tests
10301,10301,What are the advantages and disadvantages of using a nonparametric test
10302,10302,Which of the following is a major difference between the binomial and the hypergeometric distributions
10303,10303,What is the difference between binomial and Poisson distribution
10304,10304,Which algorithm is used for learning in Perceptron multi layer neural network
10305,10305,What is difference between interval and ratio data
10306,10306,What is a ratio scale of measurement
10307,10307,Is interval a scale of measurement
10308,10308,What is the difference between cluster and stratified
10309,10309,Why is it important to study residuals
10310,10310,What tests is used to determine if two categorical variables are independent
10311,10311,How do you find the correlation between two categorical variables in Python
10312,10312,How do you determine an association between two variables
10313,10313,What is not a discrete variable
10314,10314,How do you report basic main effects
10315,10315,What is H value in Kruskal Wallis test
10316,10316,What is localization in machine learning
10317,10317,What is image Localisation
10318,10318,How is krippendorff Alpha calculated
10319,10319,Which of the following method is used for multiclass classification
10320,10320,How do you do multi class classification with random forest
10321,10321,What is a layer in neural network
10322,10322,Under what conditions is a t distribution used rather than a normal distribution
10323,10323,When would you use the Z and T distribution for confidence intervals
10324,10324,What does it mean for data to be paired
10325,10325,How do you know if a test is paired
10326,10326,How is data used in decision making
10327,10327,What is the role of data
10328,10328,How does data analysis support decision making
10329,10329,What is the input to a neural network
10330,10330,Why does the sample need to be representative of the population
10331,10331,Is one way of ensuring that a sample is representative of the population
10332,10332,Which of the following is an advantage of systematic sampling over random number sampling
10333,10333,What is the mean and variance of Z
10334,10334,How do you determine if a distribution is positively skewed
10335,10335,Why Poisson distribution is positively skewed
10336,10336,What does it mean when a histogram is positively skewed
10337,10337,What is a tensor in ML
10338,10338,What is ROC used for
10339,10339,What is an ROC
10340,10340,What does the ROC curve mean
10341,10341,What is the difference between univariate and multivariate
10342,10342,What is univariate regression
10343,10343,What is multivariate regression used for
10344,10344,What is the major difference between simple linear regression SLR and multiple linear regression MLR )
10345,10345,What does the law of averages mean
10346,10346,Who invented the law of large numbers
10347,10347,Is a factorial Anova a two way Anova
10348,10348,How do you do a factorial Anova
10349,10349,What is one way Anova used for
10350,10350,What does P value of 0.2 mean
10351,10351,Is P value of 0.03 Significant
10352,10352,How do you predict probability
10353,10353,How do you calculate predicted probability in R
10354,10354,What is the difference between K means and spectral clustering
10355,10355,How do you use an F test
10356,10356,Can you have clinical significance without statistical significance
10357,10357,What is the difference between insignificant and non significant
10358,10358,What is an uncorrelated subquery
10359,10359,What does signal processing mean
10360,10360,What is signal processing techniques
10361,10361,Why do we use autocorrelation
10362,10362,How do you prove a Markov chain is ergodic
10363,10363,What is ergodic state
10364,10364,How do I know if my Markov chain is irreducible
10365,10365,What is the difference between DFT and FFT
10366,10366,What is bootstrapped dataset
10367,10367,What is descriptive statistics quizlet
10368,10368,What are inferential statistics quizlet
10369,10369,What is descriptive and inferential statistics PDF
10370,10370,What is the relationship between the linear correlation coefficient r and the slope b1 of a regression line
10371,10371,What is the relationship between the linear correlation coefficient r and the slope of a regression line
10372,10372,What is the relationship between R and beta in a simple regression
10373,10373,What is the relationship between correlation coefficient and coefficient of determination
10374,10374,How do you find K in stats
10375,10375,What is the smallest value of k in Chebyshev's theorem
10376,10376,How do you use Chebyshev inequality
10377,10377,How do you deploy deep learning models in production
10378,10378,What are supervised learning problems
10379,10379,Which type of problems can be solved by supervised learning
10380,10380,What does log mean in statistics
10381,10381,What is the difference between a data analyst and a statistician
10382,10382,What is the difference between experimental and theoretical probability examples
10383,10383,Why there is a difference between theoretical and experimental analysis
10384,10384,How do you find the theoretical probability
10385,10385,What is experimental probability formula
10386,10386,What is linear operations
10387,10387,What is a linear operator linear algebra
10388,10388,What is prior knowledge in machine learning
10389,10389,What is unsupervised learning features of groups
10390,10390,What are the values that a Bernoulli variate can take
10391,10391,How do you find the expected value of an independent random variable
10392,10392,Is one way Anova univariate
10393,10393,Why are logarithms useful in real life
10394,10394,What is the difference between logarithmic and linear scale
10395,10395,How do you do linear regression step by step
10396,10396,How do you find an anomaly
10397,10397,What is an anomaly in statistics
10398,10398,What is the P value in Stata
10399,10399,How do you find the p value in linear regression
10400,10400,What should be the P value in regression
10401,10401,Why is CNN's better suited for computer vision over neural networks
10402,10402,Why convolutional neural network is better
10403,10403,Is CNN Computer Vision
10404,10404,Is NLP a machine learning algorithm
10405,10405,Which library is used in NLP
10406,10406,In which string algorithm hash function is used
10407,10407,How do you find the p value in a Poisson distribution
10408,10408,What symmetric means
10409,10409,How do you plot a cumulative frequency distribution
10410,10410,What do you plot on a cumulative frequency graph
10411,10411,Which plot is required for frequency distribution
10412,10412,How do you measure skewness
10413,10413,What causes a skew in statistical terms
10414,10414,When should I change my learning rate
10415,10415,How do you find the standardized residual
10416,10416,How do you find the mean of a residual
10417,10417,What qualifies as an AI
10418,10418,Is AI really AI
10419,10419,What is my independent variable
10420,10420,What are the applications of chi square test
10421,10421,What is an agent based system
10422,10422,What is the difference between system dynamics and agent based Modelling
10423,10423,What is the meaning of parametric and non parametric
10424,10424,What are the types of non parametric
10425,10425,What are the different activation functions
10426,10426,How is activation function calculated in neural network
10427,10427,How do you choose loss function when training deep learning neural networks
10428,10428,What is the starting point for null hypothesis significance testing
10429,10429,What does the null hypothesis tell you
10430,10430,What does it mean if your test result is statistically significant
10431,10431,How is sample standard deviation different from population
10432,10432,Why do we use kernel trick for SVM
10433,10433,What is the difference between Z and T
10434,10434,Which of the following is a fundamental difference between the T and Z statistic
10435,10435,What is an advantage of T scores over Z scores quizlet
10436,10436,What does adjusted R squared tell us
10437,10437,What is a good adjusted R squared value
10438,10438,What is a linear decision boundary
10439,10439,What is the main difference between linear and quadratic discriminant analysis LDA and QDA )
10440,10440,What is analysis of variance
10441,10441,Where is Poisson distribution used
10442,10442,What are time series forecasting techniques
10443,10443,What are different forecasting techniques
10444,10444,What is single layer Perceptron
10445,10445,What is Multilayer Perceptron model
10446,10446,What is single layer Perceptron model what is its limitation
10447,10447,What is the difference between exponential growth and logarithmic growth
10448,10448,What is logarithmic increment
10449,10449,What does logarithmic scale tell you
10450,10450,How do you tell if a logarithmic function is increasing or decreasing
10451,10451,What is data preparation in machine learning
10452,10452,How do you prepare the data for the ML model
10453,10453,What are the steps that should be taken for data preparation
10454,10454,Is SVM an algorithm
10455,10455,How do you calculate convolution output
10456,10456,What is the output of convolution
10457,10457,How many support vectors are there in SVM
10458,10458,How do you analyze stratified data
10459,10459,How does stratified random sampling work
10460,10460,What type of data is categorical
10461,10461,How do you determine if it is a probability distribution
10462,10462,Are probability distributions normal
10463,10463,What is latent semantic analysis used for
10464,10464,What is LSA in machine learning
10465,10465,Can a box plot have negative numbers
10466,10466,What does it mean if a Boxplot is negatively skewed
10467,10467,What Cannot be determined from a Boxplot
10468,10468,Is the uniform distribution discrete or continuous
10469,10469,What does it mean to interpolate data
10470,10470,What does bivariate mean *
10471,10471,What is the difference between a stratified sample and a quota sample
10472,10472,What is variance in simple words
10473,10473,How do you calculate the variance
10474,10474,Is r squared the same as R
10475,10475,What does R and R Squared mean in statistics
10476,10476,Should I report R or R Squared
10477,10477,Whats a good R squared value
10478,10478,How do you choose K in K means clustering
10479,10479,What is the elbow method for choosing value of K
10480,10480,How do you identify a binomial
10481,10481,What are the assumptions of one way Anova
10482,10482,What are the assumptions of a two way Anova
10483,10483,What is a factorial Anova
10484,10484,What are the assumptions of between subjects analysis of variance
10485,10485,What are classification rules in data mining
10486,10486,What is classifier in data mining
10487,10487,What is Porter Stemmer in NLP
10488,10488,What is generalization of a neural network model
10489,10489,What is generalization in machine learning
10490,10490,When was chaos theory discovered
10491,10491,What is the chaos theory equation
10492,10492,Do dependent variables need to be normally distributed
10493,10493,Is normality required for regression
10494,10494,How do you debug neural networks
10495,10495,How can I improve my deep learning model
10496,10496,How do you test a deep learning model
10497,10497,How linear regression is used in prediction
10498,10498,When should you use linear regression
10499,10499,Why MSE is not used in logistic regression
10500,10500,What's wrong with mean squared error
10501,10501,How good is Scikit
10502,10502,When would you use a binomial distribution
10503,10503,What would be the advantage of adding additional predictor variables into our regression model
10504,10504,How do you find multiple correlations
10505,10505,How many variables are in a correlation
10506,10506,What is lambda in elastic net
10507,10507,What is model loss
10508,10508,What is function approximation in neural network
10509,10509,Which neural network can approximate any continuous function
10510,10510,Can neural networks approximate discontinuous functions
10511,10511,Can neural networks extrapolate
10512,10512,How do you run a logistic regression in R
10513,10513,How is logistic regression fit
10514,10514,How do you improve the accuracy of a logistic regression model in R
10515,10515,How do you determine if a function is a probability density function
10516,10516,What are the conditions for a function to be a probability mass function
10517,10517,What are the three requirements for this to be a probability distribution
10518,10518,How do you speed up gradient descent
10519,10519,What is beta distribution used for
10520,10520,What are the two types of forecasting
10521,10521,How can spectral resolution be improved
10522,10522,How do you find frequency resolution
10523,10523,What is the frequency resolution of FFT
10524,10524,What does FFT do
10525,10525,What is normalized error
10526,10526,How do you Normalise an equation
10527,10527,What are the positives of robots
10528,10528,Can random variables be negative
10529,10529,What is clustering in big data
10530,10530,What is the effect of choosing a biased sample
10531,10531,What is bias in survey sampling
10532,10532,How do you overcome sampling bias
10533,10533,Is bias a sampling error
10534,10534,What are the signs of Delta H and Delta S
10535,10535,What is Delta G Delta H and Delta S
10536,10536,What is the cause of outliers
10537,10537,How might you determine outliers in the data
10538,10538,How do you remove outliers from data
10539,10539,What do you do when data is skewed right
10540,10540,How can we avoid skewness in data
10541,10541,When data is skewed to the right the mean is
10542,10542,What is the goal of neural network
10543,10543,What network is RNN
10544,10544,What is the difference between naive Bayes and a Bayes Theorem
10545,10545,Is naive Bayes Bayesian
10546,10546,Why is naïve Bayes called naïve
10547,10547,Why would we want to use the normal approximation to the binomial instead of just using the binomial distribution
10548,10548,How does Bayesian analysis work
10549,10549,What does multivariate analysis tell you
10550,10550,What is a good margin of error for a survey
10551,10551,What happens in clustering
10552,10552,How do you find the variance of a regression coefficient
10553,10553,What is variance in regression
10554,10554,How do you find the regression model
10555,10555,What is hierarchical modeling
10556,10556,What is reverse conditional probability
10557,10557,How do you flip conditional probability
10558,10558,How do you find inverse probability
10559,10559,What is conditional probability formula
10560,10560,Is linear regression continuous
10561,10561,What is BFS and DFS used for
10562,10562,Why is DFS used
10563,10563,What is an example of descriptive analytics
10564,10564,What is meant by descriptive analytics
10565,10565,What is descriptive analytics used for
10566,10566,What is descriptive analytics in big data
10567,10567,Can gradient boosting be used for classification
10568,10568,How do you increase a gradient boosting classifier
10569,10569,What is the use of dataset
10570,10570,What do you mean by dataset
10571,10571,How do I load a dataset in TensorFlow
10572,10572,What is frequency in statistics with example
10573,10573,What is Ma process
10574,10574,What are the different types of test statistics
10575,10575,What is meant by statistical test
10576,10576,What are the requirements for a distribution to be a probability distribution
10577,10577,How do shrinkage methods help to the bias variance tradeoff
10578,10578,Which of the following learning rule is used in Adaline training
10579,10579,How is machine learning model accuracy
10580,10580,What are the assumptions required for linear regression
10581,10581,Which loss function is used while training Autoencoder
10582,10582,What activation function does Autoencoder use
10583,10583,What is the loss function in a nn
10584,10584,What is bias in a neural network
10585,10585,What is interval scale
10586,10586,How do you do interval scales
10587,10587,What is an activation value in neural network
10588,10588,What is difference between deep learning and neural networks
10589,10589,Do we need feature extraction in deep learning
10590,10590,What are features in deep learning
10591,10591,How does batch normalization works
10592,10592,How many peaks does a bimodal distribution have
10593,10593,What is a good residual sum of squares
10594,10594,What does SSE mean in statistics
10595,10595,What does it mean if a sample is biased
10596,10596,What is biased and unbiased in statistics
10597,10597,What is the average score on Wechsler IQ test
10598,10598,Do I need to standardize dependent variable
10599,10599,What is the purpose of standardizing a variable
10600,10600,What is the difference between Collinearity and Multicollinearity
10601,10601,What is discrete data
10602,10602,How do you know if data is discrete or continuous
10603,10603,What is an example of a discrete data metric
10604,10604,How does machine learning deal with unbalanced data
10605,10605,How do unbalanced classes affect a machine learning model
10606,10606,What is data imbalance in machine learning
10607,10607,Why do we adjust p values
10608,10608,How are rules generated from decision trees
10609,10609,What is unordered rule list
10610,10610,What is the formula for the standard error of estimate
10611,10611,What does the standard error of measurement indicate
10612,10612,How do you know if its unimodal or bimodal
10613,10613,What is the unimodal and symmetric curve called
10614,10614,How do you calculate the Heisenberg Uncertainty Principle
10615,10615,How do I calculate uncertainty
10616,10616,What is the difference between classification and regression in machine learning
10617,10617,Why entropy is a property
10618,10618,What kind of property is entropy
10619,10619,What is a pseudo first order reaction
10620,10620,What is the difference between 1st and zero order rate reactions
10621,10621,What is the mean of the sampling distribution of the mean
10622,10622,What is the mean of the sampling distribution of the sample mean quizlet
10623,10623,What are the properties of the sampling distribution of sample mean
10624,10624,What's an entropy
10625,10625,What are the two types of growth
10626,10626,What are the growth curves
10627,10627,Is SVM A linear regression
10628,10628,What is the difference between Anova and chi square
10629,10629,What is the formula of mean median mode
10630,10630,What is the imperial relationship between mean median and mode
10631,10631,What is linear and nonlinear dataset
10632,10632,Why is smoothing useful when applying naive Bayes *
10633,10633,How do you optimize naive Bayes
10634,10634,What is the difference between NLU and NLG
10635,10635,How do you define your clustering is good clustering
10636,10636,What is the meaning of stochastic process
10637,10637,What is a stochastic process in time series
10638,10638,What are the conditions necessary for second order low pass filter
10639,10639,What is 2nd order high pass filter
10640,10640,What is the difference between first order and second order filters
10641,10641,What is the main difference between the Chi Square and the F distribution
10642,10642,What is the difference between F test and chi square test
10643,10643,What is the relationship between T and F
10644,10644,How do you calculate risk and return
10645,10645,How do you measure risk management
10646,10646,What is Kappa in confusion matrix
10647,10647,What is Kappa in random forest
10648,10648,Which is the explanatory variable
10649,10649,Which variable is the response variable
10650,10650,What is predictive mining
10651,10651,How do you find lambda
10652,10652,How do you interpret regression coefficients
10653,10653,What is the use of regression coefficient
10654,10654,What does coefficient mean
10655,10655,Is Perceptron generative or discriminative
10656,10656,Which mask is used for line detection
10657,10657,What's the difference between mean and weighted mean
10658,10658,Where is decision tree used
10659,10659,What are the main uses of decision trees in systems analysis
10660,10660,What is word Lemmatization
10661,10661,Why does an SVM model often perform better than a logistic regression model
10662,10662,What is the difference between logistic regression and SVM
10663,10663,Is logistic regression sensitive to outliers
10664,10664,What is the equation for a normal distribution
10665,10665,How do you find the area of a bell curve
10666,10666,How do you calculate ACF in a time series
10667,10667,How is autocorrelation calculated
10668,10668,How do you find the mean when given the frequency
10669,10669,How do you find the mean and median from a frequency table
10670,10670,What is the difference between a skewed distribution and a normal distribution
10671,10671,How do you determine if a skew is positive or negative
10672,10672,What is noise in machine learning
10673,10673,What is noise in deep learning
10674,10674,What is noise injection
10675,10675,How do you find the percentile of a distribution
10676,10676,What is the percentile of a normal distribution
10677,10677,What is the 80th percentile of a normal distribution
10678,10678,What is planning in AI
10679,10679,What is confidence interval in regression
10680,10680,What is confidence interval and how is it calculated
10681,10681,What is the confidence interval approach
10682,10682,What is unigram and bigram
10683,10683,What is unigram model
10684,10684,Can Random Forest take categorical variables
10685,10685,Can random forest handle character variables
10686,10686,How do you check for normal distribution in statistics
10687,10687,What does deep dream mean
10688,10688,What is robust variance
10689,10689,How do you interpret a Type 2 error
10690,10690,Why true AI is impossible
10691,10691,How do you find the derivative of a function with two variables
10692,10692,How do you differentiate an equation with both sides
10693,10693,What is vgg19
10694,10694,Which network has the highest accuracy on ImageNet dataset
10695,10695,How do you cluster analysis
10696,10696,Is naive Bayes regression
10697,10697,Is naive Bayes a linear model
10698,10698,How is systematic sampling done
10699,10699,What are frames in artificial intelligence How do they differ from semantic nets
10700,10700,How are semantic networks arranged
10701,10701,How does analysis of variance work
10702,10702,What are two common hash functions choose two
10703,10703,What are the different types of hash functions
10704,10704,What is the function of a hash
10705,10705,What is real time processing in technology
10706,10706,What is considered real time
10707,10707,What are the rules for dimensional analysis
10708,10708,What are the limitations of dimensional analysis
10709,10709,What is the use of Optimizer
10710,10710,What is the difference between a sample and a population quizlet
10711,10711,Why do we use decision trees
10712,10712,What is the V function
10713,10713,What is a value function in reinforcement learning
10714,10714,What is the difference between empirical theoretical and subjective probability
10715,10715,When the P value is used for hypothesis testing the null hypothesis is rejected if
10716,10716,What does the P value tell you about the null hypothesis
10717,10717,Does statistically significant means reject null hypothesis
10718,10718,Can categorical variables be normally distributed
10719,10719,Does categorical data have a distribution
10720,10720,What does the Q mean in statistics
10721,10721,In which of the following applications can we use deep learning to solve the problem
10722,10722,Which of the following libraries uses computations graph of deep learning
10723,10723,Which of the following is are the reasons for the recent take off of deep learning
10724,10724,Is NLP a data mining
10725,10725,What is a null and alternative hypothesis
10726,10726,How do you choose a null hypothesis
10727,10727,Is cluster sampling good
10728,10728,Which type of learning is used in the classification process
10729,10729,Why do we do multivariate analysis
10730,10730,What is drop out in CNN
10731,10731,What is the greedy choice property
10732,10732,What is Prewitt edge detection
10733,10733,What does Sobel filter do
10734,10734,What is considered a good variance
10735,10735,What is upper boundary in statistics
10736,10736,How do you find the LCB in statistics
10737,10737,How do you find the lower class limit in statistics
10738,10738,Why is data positively skewed
10739,10739,Why validation loss is less than training loss
10740,10740,What are some real life examples of probability
10741,10741,Why is mean of Z scores 0
10742,10742,What is the mean and standard deviation of a Z score
10743,10743,What is the mean and standard deviation of the distribution of z scores will this be true for any distribution of z scores
10744,10744,How many observations are in the training set
10745,10745,What are the requirements for machine learning
10746,10746,What are observations in machine learning
10747,10747,What is the meaning of geometric mean
10748,10748,How do you do image processing
10749,10749,How do you find the expected value of a decision tree
10750,10750,How do you optimize decision trees
10751,10751,What does T distribution tell us
10752,10752,What is the determinant of a matrix used for
10753,10753,What does the value of the determinant tell you
10754,10754,What is the use of determinants in real life
10755,10755,Is the mean an unbiased estimator
10756,10756,Is Standard Deviation an unbiased estimator
10757,10757,What are the disadvantages of decision tree
10758,10758,Under what circumstances would you recommend a probability sample
10759,10759,What is Turing machine in TOC
10760,10760,What are different types of Turing machine
10761,10761,How do you do permutation test
10762,10762,Is probability sampling biased or unbiased
10763,10763,Which sampling method is unbiased
10764,10764,Is TensorFlow a python
10765,10765,What does uncorrelated mean
10766,10766,Can two independent variables be correlated
10767,10767,What is the mean of negative binomial distribution
10768,10768,What is the difference between NLP and NLG
10769,10769,How do you interpret t test results in Stata
10770,10770,What is model interpretation
10771,10771,What are multivariate statistical techniques
10772,10772,Do you think that the bagging procedure can be useful to improve the performance of linear regression
10773,10773,Should I learn algorithms and data structures first
10774,10774,What are different types of agents
10775,10775,What are agents in AI
10776,10776,What is class balancing in machine learning
10777,10777,How do you solve class imbalance problems
10778,10778,Can a normal approximation be used for a sampling distribution of sample means
10779,10779,Why is normal distribution used in sampling distributions
10780,10780,What do you need for a binomial distribution
10781,10781,How do you interpret the standard error of estimate
10782,10782,What is standard error of the estimate in Linear Regression
10783,10783,What is a good standard error of estimate
10784,10784,How much standard error is acceptable in regression
10785,10785,What is training in neural network
10786,10786,What is training data in AI
10787,10787,What is the difference between training and testing data
10788,10788,How do you calculate conditional distribution
10789,10789,How do you find conditional probability
10790,10790,What is meant by conditional distribution
10791,10791,Is SVM an ensemble method
10792,10792,Which of the following algorithm is not an example of an ensemble method
10793,10793,What is the difference between correlation and regression analysis
10794,10794,Is there any relation between correlation and regression
10795,10795,What is the difference between content based filtering and collaborative filtering for recommender systems
10796,10796,How do you combine classes in unsupervised classification
10797,10797,What does it mean to log transform data
10798,10798,Why do we transform data
10799,10799,When should data be log transformed
10800,10800,What is the relationship between the linear correlation coefficient r and the slope b1
10801,10801,What is the function used to generate a random number based on normal distribution
10802,10802,How do you find statistical uncertainty
10803,10803,What is the formula for uncertainty
10804,10804,What is uncertainty in statistics
10805,10805,What is uncertainty and how is it measured
10806,10806,What is the best point estimate for the population variance
10807,10807,What is a residual for a multiple regression model
10808,10808,What is normal PP plot of regression standardized residual
10809,10809,How do you know if something is a Poisson distribution
10810,10810,Which clustering algorithm uses distance matrix
10811,10811,What is Distance Matrix API
10812,10812,How do you size a neural network
10813,10813,What is contingency table in statistics
10814,10814,What is the meaning of confounding in statistics
10815,10815,What is a confounding variable AP stats
10816,10816,How do you detect outliers
10817,10817,Why do we need outlier detection
10818,10818,Why would you include an outlier
10819,10819,What is the definition of median in statistics
10820,10820,Why is median used in statistics
10821,10821,What is object detection in image processing
10822,10822,How does CNN choose number of filters
10823,10823,How does CNN algorithm work
10824,10824,How do you find the mode of a distribution
10825,10825,What is the mode of distribution
10826,10826,How do you find the mode of data
10827,10827,What does the null hypothesis predict
10828,10828,What is the relationship between the null and alternative hypothesis
10829,10829,What are unstructured data sources
10830,10830,Is JSON unstructured data
10831,10831,Is CSV unstructured data
10832,10832,How do bins work in histograms
10833,10833,What does it mean to control for a variable in a regression
10834,10834,What is meant by random variable in probability
10835,10835,How do you state a random variable
10836,10836,How do you find the population variance
10837,10837,Why is population variance important
10838,10838,What is binary logit model
10839,10839,What is observation inference
10840,10840,What is the difference between an observation inference and a hypothesis
10841,10841,How do you use Spearman rank correlation
10842,10842,Why do we use Spearman correlation coefficient
10843,10843,How do you choose between Pearson and Spearman correlation
10844,10844,What does the R squared value tell you
10845,10845,What does an R2 value of 0.05 mean
10846,10846,Why should I use LVM
10847,10847,What is LVM partitioning
10848,10848,What is an example of an agent
10849,10849,What does an agent do
10850,10850,How do you find the sampling frequency of a signal
10851,10851,How do you calculate the frequency of a signal
10852,10852,How do you find the frequency of a Nyquist signal
10853,10853,How does sampling rate affect frequency
10854,10854,When should you use Anova instead of t tests
10855,10855,When can you use a two way analysis of variance
10856,10856,What assumptions are required for conducting analysis of variance
10857,10857,What is mean by quartile deviation
10858,10858,What is standard and quartile deviation
10859,10859,What is a word for learning quickly
10860,10860,What test is used to examine normality in our data distribution
10861,10861,What is McNemar's test used for
10862,10862,What is McNemar's chi square test
10863,10863,What is McNemar's test P value
10864,10864,What does a 0.05 level of significance mean
10865,10865,What is an example of non response bias
10866,10866,What is a non response bias in statistics
10867,10867,What is non response bias in market research
10868,10868,What is the difference between a response and a non response bias
10869,10869,What is specificity in confusion matrix
10870,10870,How do you calculate sensitivity and specificity
10871,10871,What does randomization mean
10872,10872,What is an example of randomization
10873,10873,What is randomization in experimental research
10874,10874,What is the reason that MSE is preferred over Mae for linear regression problem
10875,10875,What is a good root mean square error
10876,10876,What is the purpose of Kruskal Wallis test
10877,10877,Is UTA a villain
10878,10878,Who betrayed kaneki
10879,10879,How do you find the area under a ROC curve
10880,10880,What is intersection and union
10881,10881,Is logistic regression mainly used for regression
10882,10882,What are data errors
10883,10883,What are the types of data errors
10884,10884,How do you calculate error estimate
10885,10885,Why is random forest better than bagging
10886,10886,What is the use of interpolation in angular
10887,10887,What is string in angular
10888,10888,What is difference between property binding and interpolation
10889,10889,What is the numeric data type
10890,10890,What is an example of numeric
10891,10891,What is numeric and non numeric data
10892,10892,What is machine learning advantages and disadvantages
10893,10893,What are the limitations of machine learning
10894,10894,How do you deploy a TensorFlow model
10895,10895,How do you deploy machine learning models with TensorFlow
10896,10896,How would you train your own object detection with TensorFlow
10897,10897,What is a sampling unit
10898,10898,What is audit sampling and why sample is taken
10899,10899,What deals with audit sampling
10900,10900,What is a good sample size for audit
10901,10901,How do you interpret kappa scores
10902,10902,What is ratio of training validation and testing is advised
10903,10903,How do you do partial least squares regression
10904,10904,What is meant by spreading activation
10905,10905,What does the semantic network model imply for the structure of long term memory
10906,10906,What is variance used for in real life
10907,10907,What are some practical uses of knowing variation
10908,10908,What can variance tell us
10909,10909,How is standard deviation used in real life
10910,10910,What is a class limit
10911,10911,What is class and class interval
10912,10912,What is adaptive instruction
10913,10913,What are adaptive teaching methods
10914,10914,What is the goal of adaptive instruction
10915,10915,What is difference between tensor and matrix
10916,10916,What is vector and tensor analysis
10917,10917,What are the characteristics of the F distribution
10918,10918,What is the purpose of the F distribution
10919,10919,How do you know if a function is Eigenfunction
10920,10920,Is a linear combination of eigenvectors an eigenvector
10921,10921,What are eigenvalues and eigenfunctions
10922,10922,How do you show eigenfunctions are orthogonal
10923,10923,What is cosine similarity algorithm
10924,10924,What does the P value mean in context
10925,10925,What is empirical error
10926,10926,How is generalization error calculated
10927,10927,What is generalizability in machine learning
10928,10928,What is an advantage of L1 regularization over L2 regularization
10929,10929,What is L1 norm minimization
10930,10930,What is a vector in ML
10931,10931,What is vector in neural network
10932,10932,Why is IID important in machine learning
10933,10933,What is IID assumption
10934,10934,What is latent variable in statistics
10935,10935,How is AI related to neural networks
10936,10936,How can artificial neural network improve decision making give example
10937,10937,How do you find the likelihood ratio
10938,10938,How do you find the expected ratio in a chi square test
10939,10939,What is self training machine learning
10940,10940,What does a correlation coefficient of 0.2 mean
10941,10941,What does it mean if distribution is skewed
10942,10942,Is the distribution skewed or normal What does that mean is it a good skew
10943,10943,Can a normal distribution curve be skewed
10944,10944,What can logistic regression be used for
10945,10945,When would you not use logistic regression
10946,10946,How do you find the mean of a Gaussian distribution
10947,10947,What does it mean to be Gaussian
10948,10948,What is the mean and SD of a Z distribution
10949,10949,What are advantages of task scheduling algorithm
10950,10950,What are the advantages and disadvantages of FCFS
10951,10951,Which scheduling algorithm is best and why
10952,10952,What is a disadvantage of the FCFS scheduling algorithm
10953,10953,What kind of sample lets you generalize your findings to a larger population
10954,10954,What is convenience sampling according to
10955,10955,What is the advantage of convenience sampling
10956,10956,What is a binary model
10957,10957,What is binary response model
10958,10958,What is a binary logit model
10959,10959,What is a discrete choice model
10960,10960,How do you validate a clustering algorithm
10961,10961,How is cluster accuracy measured
10962,10962,What is an example of semi structured data
10963,10963,What is structured semi structured data
10964,10964,What is structured semi structured unstructured data give some examples to explain them
10965,10965,Why do we need image processing
10966,10966,What is image processing in GIS
10967,10967,What makes a bootstrap sample different from a random sample
10968,10968,Is the set N Z countable
10969,10969,Which tool is popular to handle unstructured data type
10970,10970,How is unstructured data structured
10971,10971,What are logarithms used for in real life
10972,10972,How do you find the difference between two probability distributions
10973,10973,How do you compare two frequency distributions
10974,10974,How do you do dimensional analysis stoichiometry
10975,10975,How can dimensional analysis help plan a stoichiometric pathway
10976,10976,How do you use stoichiometry
10977,10977,What is stoichiometric analysis
10978,10978,How does chaos theory work
10979,10979,What problems can machine learning solve
10980,10980,What are the interview questions for machine learning
10981,10981,What questions can data science answer
10982,10982,How do you deal with correlated variables
10983,10983,What happens if two variables are correlated
10984,10984,What are predictor and target variables in machine learning
10985,10985,What is the difference between random sampling and systematic sampling
10986,10986,What is the difference between backup and system image
10987,10987,What is image backup
10988,10988,What is the dependent variable in linear regression analysis
10989,10989,Which is the dependent variable
10990,10990,What does the dependent variable go on
10991,10991,What is mean by deep learning
10992,10992,What is ML and its types
10993,10993,What is the difference between bivariate data and univariate data
10994,10994,What is the difference between univariate data and bivariate data chegg
10995,10995,How do you find probability using Factorials
10996,10996,How do you find the number of probability
10997,10997,What is conditional probability in machine learning
10998,10998,What is a kernel in deep learning
10999,10999,What are channels and kernels
11000,11000,What is meant by kernel in image processing
11001,11001,What is meant by unlabeled data
11002,11002,What is the difference between labeled and unlabeled data
11003,11003,What does convergence in probability mean
11004,11004,What is serial correlation
11005,11005,What is serial correlation LM test
11006,11006,Is binomial distribution a normal distribution
11007,11007,How do you use the critical value approach
11008,11008,What does the F test tell you
11009,11009,What's the difference between t test and F test
11010,11010,What is the purpose of performing the overall F test select one
11011,11011,What does path coefficient mean
11012,11012,How do you find the marginal probability density function
11013,11013,In which neural network architecture does weight sharing occur
11014,11014,Which network has concept of weight sharing
11015,11015,What are the most popular neural network architectures
11016,11016,How does Minimax algorithm work
11017,11017,Why is it important in the Minimax algorithm to generate the values of the evaluation function bottom up rather than calculating them for each node when the node is visited first top down )? Minimax also works top down but the bottom up method is
11018,11018,What is frame population
11019,11019,Can sampling frame be larger than target population
11020,11020,Does machine learning require statistics
11021,11021,What are the general limitations of the backpropagation rule
11022,11022,What is non random variable
11023,11023,What is considered a random variable
11024,11024,Why do we use estimation
11025,11025,What is statistical estimate
11026,11026,How do you estimate in statistics
11027,11027,What is dense network
11028,11028,Is Hidden Markov model supervised or unsupervised
11029,11029,How do you know if outcomes are equally likely
11030,11030,What are the advantages and disadvantages of stratified sampling
11031,11031,What are the disadvantages of cluster sampling
11032,11032,What are the different techniques of data mining
11033,11033,What is data mining techniques PDF
11034,11034,How are ROC curves useful in model selection
11035,11035,What is the random variable in this experiment
11036,11036,What is an example of a binomial
11037,11037,How do you identify a binomial distribution
11038,11038,Is rolling a dice a binomial distribution
11039,11039,Is linear regression a classification algorithm
11040,11040,What is linear regression algorithm
11041,11041,How do you deal with missing values
11042,11042,How do you deal with missing data in data analysis
11043,11043,How do you deal with missing values in data science
11044,11044,What are the issue arising when the assumptions of a regression model are violated
11045,11045,How do you read sensitivity and specificity
11046,11046,Why is Lstm used
11047,11047,What problems can be solved by artificial intelligence
11048,11048,What problems can robots solve
11049,11049,How does a quasi experiment differ from a true experiment
11050,11050,How do you explain likelihood
11051,11051,How do I choose a logistic regression model
11052,11052,How do you choose a regression method
11053,11053,What does logistic regression predict
11054,11054,What is Matlab in image processing
11055,11055,What are the applications of image processing
11056,11056,How do you run a survival analysis in R
11057,11057,How do you set up data for a survival analysis
11058,11058,What is meant by selection bias
11059,11059,Why is selection bias a problem
11060,11060,What is logit and probit
11061,11061,What is RBF in neural network
11062,11062,What is reinforcement machine learning
11063,11063,What are prerequisites for deep learning
11064,11064,What is the random variable of interest
11065,11065,What does it mean when a cost function is non convex
11066,11066,How do you use thresholds in ImageJ
11067,11067,What is U and V in SVD
11068,11068,Which of the following assumptions are not required by the LR logistic regression )
11069,11069,What is the XOR problem
11070,11070,What are the problems that can be solved with perceptrons
11071,11071,What is the difference between linear regression and time series forecasting
11072,11072,Is linear regression a time series model
11073,11073,Can regression be used for categorical variables
11074,11074,What is meant by marginal distribution
11075,11075,How is AI developed
11076,11076,How is AI improving our lives
11077,11077,Do you think it is possible to combine time series and cross sectional data
11078,11078,What is the variance of the distribution of sample means
11079,11079,What is the variance distribution
11080,11080,What is the distribution of the sample standard deviation
11081,11081,What is the sampling distribution of the sample proportion
11082,11082,What is a hierarchical linear regression
11083,11083,What does standardized score mean in statistics
11084,11084,What exactly is an eigenvalue
11085,11085,What is eigenvalue in layman's terms
11086,11086,How do you explain eigenvalues and eigenvectors
11087,11087,What does it mean to be an eigenvector
11088,11088,How do you find the least squares line
11089,11089,What is the difference between standard deviation and interquartile range
11090,11090,Can't ridge regression perform variable selection
11091,11091,Can ridge regression be used for feature selection
11092,11092,Does deep learning need labeled data
11093,11093,What are labels in deep learning
11094,11094,Is an exponential probability distribution continuous distribution of discrete distribution
11095,11095,How do I report the results of Fisher's exact test
11096,11096,What is bootstrapping confidence interval
11097,11097,How does bootstrap calculate confidence intervals in R
11098,11098,How is bootstrap calculated
11099,11099,How do you interpret survival curves
11100,11100,How do you read Kaplan Meier curves
11101,11101,How do you analyze survival data
11102,11102,What is the difference between a normal t test and an F test
11103,11103,What is NAT and how does it work
11104,11104,What is a NAT rule
11105,11105,How is neural network like and different from computer network
11106,11106,What is a multiplicative model
11107,11107,What is additive decomposition
11108,11108,What is multiplicative model in time series
11109,11109,What is a log linear model used for
11110,11110,Why do we apply log
11111,11111,What is an effective way of evaluating a model's accuracy
11112,11112,How do you maintain model accuracy over time
11113,11113,What is accuracy in classification model
11114,11114,How do you use machine learning algorithms
11115,11115,What are the types of machine learning algorithms
11116,11116,What are the ethical issues in testing
11117,11117,What are the different types of datasets used in ML
11118,11118,What are the different types of ML
11119,11119,How do you describe a sampling distribution AP stats
11120,11120,What are the characteristics of sampling distribution
11121,11121,How is the sample mean distributed
11122,11122,What is posterior in Bayesian
11123,11123,Why is hidden Markov used in speech recognition
11124,11124,What are the two response variables
11125,11125,What is the response variable in an observational study
11126,11126,How can you tell if joint pdf is independent
11127,11127,How do I get joint PDF from joint CDF
11128,11128,How do you calculate entropy
11129,11129,How do you calculate entropy of text
11130,11130,Can you use at test with skewed data
11131,11131,How do you analyze non normal data
11132,11132,Does at test require a normal distribution
11133,11133,Is K means non hierarchical clustering
11134,11134,What does K refers in the K Means algorithm
11135,11135,Which clustering is referred to as K means clustering
11136,11136,What is time series design when is it used
11137,11137,Is maximum likelihood estimator unbiased
11138,11138,Why is MLE variance biased
11139,11139,What is correlated error
11140,11140,What are the consequences of serial correlation
11141,11141,What are the topics in statistics
11142,11142,What are the basic concepts of probability
11143,11143,What are error measures
11144,11144,What is measurement error in econometrics
11145,11145,What is the purpose of a decision tree
11146,11146,How do you analyze a decision tree
11147,11147,What is time variant and time invariant system
11148,11148,What is meant by time invariant system
11149,11149,Which of the following is time invariant system
11150,11150,What are the applications of K means clustering
11151,11151,How does kernel work in image processing
11152,11152,What is kernel size in Opencv
11153,11153,What is lambda in SPSS
11154,11154,What does lambda value mean
11155,11155,How do you interpret correlation results in SPSS
11156,11156,What is the need of POS tagging
11157,11157,How do you calculate a false positive rate
11158,11158,What is the relationship between specificity and false positive rate
11159,11159,What do similar matrices have in common
11160,11160,How do you know if matrices are similar
11161,11161,What is similarity transformation of a matrix
11162,11162,When would you not use random sampling
11163,11163,What is not a random sample
11164,11164,Is age a discrete or continuous variable
11165,11165,How do you know if a random variable is discrete or continuous
11166,11166,What is resampling in image processing
11167,11167,How do you interpret integration in terms of area
11168,11168,What is the geometrical meaning of derivative
11169,11169,What criteria does a tree based algorithm use to decide on a split
11170,11170,What is best split in decision tree
11171,11171,What is the difference between dense and sparse
11172,11172,What is sparse vector
11173,11173,What is image threshold
11174,11174,What does cv2 threshold do
11175,11175,Which machine learning models use gradient descent
11176,11176,What is sampling and sampling error
11177,11177,What is a sampling error quizlet Chapter 7
11178,11178,Why does stratified sampling decrease the probable sampling error
11179,11179,What is pooling in neural networks
11180,11180,What is pooling in machine learning
11181,11181,How do you convert categorical variables to continuous
11182,11182,What is machine learning problem definition
11183,11183,What is AR in Arima
11184,11184,What are the differences between AutoRegressive and moving average models
11185,11185,What is the difference between VAR and SVAR
11186,11186,How do you write an exponential distribution
11187,11187,How do you know if data is exponentially distributed
11188,11188,Which sampling methods are biased
11189,11189,Which type of sampling is most at risk for sample bias
11190,11190,Does stratified sampling have selection bias
11191,11191,What is the predictor variable
11192,11192,What is sift descriptor
11193,11193,How is sift scale invariant
11194,11194,What are the limitations of convenience sampling
11195,11195,What is a posterior probability in Bayes Theorem
11196,11196,Can logistic regression be used for regression problems
11197,11197,Why isn't logistic regression called logistic classification
11198,11198,What is the correct regression equation
11199,11199,How is r2 calculated
11200,11200,Should you standardize dummy variables
11201,11201,Do I need to normalize categorical data
11202,11202,Does Standardised scaling affect the values of dummy variables
11203,11203,What type of algorithm is Perceptron Mcq
11204,11204,Is Perceptron a logistic regression
11205,11205,Why is Perceptron linear classifier
11206,11206,What is the example of multimodal text
11207,11207,How do you use multimodal in a sentence
11208,11208,How do you find the similarity between two text files
11209,11209,What is a second order tensor
11210,11210,Is pressure a second order tensor
11211,11211,Is a second order tensor A Matrix
11212,11212,What does bias mean in research
11213,11213,What is the meaning of tensor
11214,11214,What is sequential model in neural network
11215,11215,What is sequential model in TensorFlow
11216,11216,What is the difference between ROC and AUC
11217,11217,What is ROC curve learning
11218,11218,What type of variable is weight
11219,11219,Is birth weight discrete or continuous
11220,11220,How do you find C in mean value theorem
11221,11221,How do you find C in mean value theorem for integrals
11222,11222,How do you find C in Rolle's theorem
11223,11223,Who invented the convolutional neural network
11224,11224,What are illusory correlations and what is regression toward the mean
11225,11225,How do you find best K for K means
11226,11226,Which of the following method is used for finding optimal of cluster in K mean algorithm
11227,11227,How does the K Means algorithm work
11228,11228,What are examples of a one hot encoded vector
11229,11229,What is a hot vector
11230,11230,How does machine learning determine Overfitting
11231,11231,What is parameter and Hyperparameter
11232,11232,What does neural net mean
11233,11233,Are X and Y independent
11234,11234,How will you know which machine learning algorithm to choose for your classification problem
11235,11235,What is a two sided test in statistics
11236,11236,How do you know if it is a one or two tailed test
11237,11237,What is a box plot used for
11238,11238,Who uses box plots
11239,11239,Is logistic regression a discriminative or generative model
11240,11240,Is standard error the same as standard deviation
11241,11241,Is Standard Error An estimate of standard deviation
11242,11242,Should you use standard error or standard deviation for error bars
11243,11243,Is standard error same as standard error of the mean
11244,11244,What is the field of NLP
11245,11245,What does 2nd quartile mean
11246,11246,How do you explain regression analysis
11247,11247,Is integral calculus the opposite of differential calculus
11248,11248,How do you calculate probability in logistic regression
11249,11249,How do you find probability with log odds
11250,11250,How do you find ancillary statistics
11251,11251,What is ancillary analysis
11252,11252,How do you show that a statistic is complete
11253,11253,What is a minimal sufficient statistic
11254,11254,How do you handle non normally distributed data
11255,11255,What if variable is not normally distributed
11256,11256,What is meant by univariate data in statistics
11257,11257,What is a gradient step
11258,11258,Where is linear regression used
11259,11259,When should we use linear regression
11260,11260,When can regression be used
11261,11261,What is convenience sampling
11262,11262,When did Picard become Locutus
11263,11263,Why are Picard implants Borg
11264,11264,How do you find the Z value in a normal distribution table
11265,11265,How do you find the Z score
11266,11266,Are z scores for normal distributions where 0 or 1
11267,11267,What is the difference between Fourier transform and wavelet transform
11268,11268,Why DWT is better than DCT
11269,11269,How is kernel size calculated
11270,11270,What is kernel size in Conv2D
11271,11271,What are the different clustering methods
11272,11272,What are clustering techniques in data mining
11273,11273,What is the difference between testing and validation
11274,11274,Is train test split cross validation
11275,11275,What is the difference between evaluation of training and validation of training
11276,11276,What is censoring in Kaplan Meier
11277,11277,How do you deal with censored data
11278,11278,What is machine learning being used for
11279,11279,How is machine learning used in real life
11280,11280,Where is machine learning used the most
11281,11281,What is splitting variable
11282,11282,What is split in decision tree
11283,11283,How do you find the critical value of Z
11284,11284,How do you find the Z value
11285,11285,Is TensorFlow a deep learning framework
11286,11286,What are AI frameworks
11287,11287,Is the uncertainty principle wrong
11288,11288,What does uncertainty principle mean
11289,11289,Why is the uncertainty principle true
11290,11290,What is UiPath process mining
11291,11291,What is Process Mining
11292,11292,What is the difference between supervised & unsupervised learning
11293,11293,How does bagging help in improving the classification performance
11294,11294,How does bagging help in designing better classifiers Nptel
11295,11295,What is Z Score model
11296,11296,Is the time series stationary
11297,11297,What is difference between instance variable and class variable
11298,11298,What is difference between instance and object
11299,11299,Why does sample variance have N 1
11300,11300,Why do you divide by N 1 when calculating standard deviation
11301,11301,What is variance divided by n
11302,11302,What does N represent in the formula for the sample variance
11303,11303,When can we say a learning algorithm is a consistent learner
11304,11304,How do we find the stability in machine learning model
11305,11305,What is the function of statistical learner
11306,11306,Why is cosine similarity used
11307,11307,What are the steps of the statistical process
11308,11308,What are the 4 basic steps in problem solving
11309,11309,What are the four steps in a statistical investigation
11310,11310,Can we called measure of average as measure of location why or why not
11311,11311,What is the purpose of a measure of location
11312,11312,What do you mean by measures of central tendency
11313,11313,What does spectral analysis do
11314,11314,How do you approach data
11315,11315,How do you use a dataset
11316,11316,Can dummy variables be used as independent variables in OLS regression
11317,11317,Why are dummy variables used in regression
11318,11318,What is the use of regression
11319,11319,Is Adam stochastic gradient descent
11320,11320,Which are the types of gradient descent
11321,11321,What is naive Bayes classifier used for
11322,11322,How does naive Bayes classification work its application
11323,11323,What is the benefit of naive Bayes in machine learning
11324,11324,What are used in backward chaining algorithm
11325,11325,Which approaches are used in backward chaining
11326,11326,What is backward chaining inference method
11327,11327,Is the distribution of sample means always normal
11328,11328,How does CNN can be used in object detection
11329,11329,What subjects are needed for artificial intelligence
11330,11330,What is N_estimators in XGBoost
11331,11331,What is Min_samples_split in random forest
11332,11332,What variable is the output of a function
11333,11333,How do you find the output value of a function
11334,11334,Are outputs range and dependent variable
11335,11335,Why are sensitivity and specificity inversely related
11336,11336,What qualifies as an outlier
11337,11337,How do you identify outliers in data
11338,11338,What is outlier definition and example
11339,11339,What is false positive detection
11340,11340,What is decision node
11341,11341,What does a decision tree show
11342,11342,What does a non leaf node represent in a decision tree
11343,11343,What is the algorithm used for pattern searching
11344,11344,What is pattern matching explain with algorithm and example
11345,11345,What is pattern matching algorithm in data structure
11346,11346,What is the mean of discrete uniform distribution
11347,11347,How do you find the mean of a discrete distribution
11348,11348,What is the mean of a discrete probability distribution
11349,11349,How does Perceptron algorithm work
11350,11350,What does logistic regression measure
11351,11351,What is a good mean squared error
11352,11352,What is a good root mean squared error
11353,11353,What is a good Rmsle score
11354,11354,Why do iterative methods work
11355,11355,What is the limitation of Gauss Seidel method
11356,11356,What do you mean by streaming process
11357,11357,How do you handle streaming data efficiently
11358,11358,Can we use RNN for image classification
11359,11359,What is columnar data format
11360,11360,What are the two axis on the perceptual map Capsim
11361,11361,What is artificial neural network in machine learning
11362,11362,What is artificial neural network and also write its application
11363,11363,Is SVM regression or classification
11364,11364,Is support vector regression linear
11365,11365,Is SVM logistic regression
11366,11366,What does quantile mean
11367,11367,How do you know if a regression model is useful
11368,11368,What is the difference between Gaussian and normal distribution
11369,11369,What if TB Gold test is positive
11370,11370,Can QuantiFERON test false positive
11371,11371,What does QuantiFERON TB test for
11372,11372,How do you read QuantiFERON results
11373,11373,What should my standard error be
11374,11374,Why is standard error of the mean used
11375,11375,What does standard error of difference mean
11376,11376,What is bigdata and Hadoop
11377,11377,Is Hadoop a big data tool
11378,11378,Why Hadoop is used in big data
11379,11379,How is object detection done
11380,11380,How can sensors be used to detect objects
11381,11381,What is mean of discrete probability distribution
11382,11382,What is discrete and continuous probability distribution
11383,11383,How do you know if a probability distribution is discrete
11384,11384,What do you mean by stratified random sampling
11385,11385,What is the difference between a random sample and a stratified sample
11386,11386,What is an interval scale
11387,11387,What is interval and ratio level data
11388,11388,How do you find the sampling error
11389,11389,What is sampling error and non sampling error
11390,11390,What are the benefits of hierarchical clustering over K means clustering What are the disadvantages
11391,11391,Can you add confidence intervals
11392,11392,How do I calculate confidence intervals
11393,11393,What is the z score for 99.7 confidence interval
11394,11394,What is objective function in machine learning
11395,11395,What is objective function in deep learning
11396,11396,What is non linear time
11397,11397,What is a linear time series
11398,11398,What is non linear dataset
11399,11399,What is linearity and nonlinearity
11400,11400,How do you determine nonlinearity
11401,11401,How do you define activity level
11402,11402,What is my activity level based on steps
11403,11403,What is continuous and discrete system
11404,11404,What are two types of control systems
11405,11405,What is a population moment
11406,11406,What is raw moment and central moment
11407,11407,How do you find the correlation between two signals in Matlab
11408,11408,What is random walk process
11409,11409,What is the proof of random walk occurrence
11410,11410,What examples of random variables closely follow a normal distribution
11411,11411,How do you cluster
11412,11412,What the joint probability of two random variables represents
11413,11413,How do you find the density of a random variable
11414,11414,How do you find the joint probability of two events
11415,11415,Why Matlab is used in image processing
11416,11416,How do you use a moment generating function
11417,11417,How do you find the moment generating function in a normal distribution
11418,11418,What is multi layer Perceptron model
11419,11419,What is the purpose of sampling distribution
11420,11420,How do you find the null and alternative hypothesis
11421,11421,What is vectorization in machine learning
11422,11422,Why do we need vectorization
11423,11423,How do you vectorize text
11424,11424,What is TF IDF vectorization
11425,11425,What is AIC used for
11426,11426,When should you normalize data
11427,11427,When should you not normalize data
11428,11428,Which type of learning uses imitation
11429,11429,Does Facebook use AI
11430,11430,Is Social Media artificial intelligence
11431,11431,How do you find the standardized mean difference
11432,11432,What is SMD statistics
11433,11433,What is propensity matched analysis
11434,11434,What is sparse representation based classification
11435,11435,Why and when do we use sparse representation
11436,11436,Can clustering be done on categorical variables
11437,11437,How do you handle categorical variables in clustering
11438,11438,Is the correlation between X and Y the same as Y and X
11439,11439,When there is no correlation between X and Y then
11440,11440,Why is convenience sampling bad
11441,11441,What are some problems with the sampling technique
11442,11442,What does logit transformation do
11443,11443,What is connectivity clustering
11444,11444,How do you find the bias of a model
11445,11445,What is model variance
11446,11446,What is the difference in bias and variance
11447,11447,How do you validate a predictive model
11448,11448,What is the accuracy of a model
11449,11449,Do we need to normalize data for Knn
11450,11450,What happens if we do not normalize our dataset before performing classification using KNN algorithm
11451,11451,Why do we standardize data in machine learning
11452,11452,What are randomized algorithms explain
11453,11453,What is the difference between a deterministic algorithm and a randomized algorithm
11454,11454,What is randomized selection
11455,11455,What is the counting rule in statistics
11456,11456,What is the additive rule of probability
11457,11457,How do you interpret beta coefficient in logistic regression
11458,11458,How do you know whether a random variable is continuous or discrete
11459,11459,What are the types of random variable
11460,11460,What's the meaning of bandits
11461,11461,What is feature in image processing
11462,11462,Which machine learning algorithm can minimize both the bias and variance error
11463,11463,How much memory is needed for deep learning
11464,11464,What type of data is used in deep learning
11465,11465,How do you interpret logistic regression coefficients
11466,11466,What does negative coefficient mean in logistic regression
11467,11467,What does quartile INC mean
11468,11468,What is the difference between percentile EXC and percentile Inc
11469,11469,When we calculate the quartiles using quartile Inc () formula which of the quartile values is equal to the median
11470,11470,What sample statistic is used to estimate a population mean μ
11471,11471,What is the value of the sample statistic
11472,11472,How do you estimate the value of the population proportion
11473,11473,What does hidden means in hidden Markov model
11474,11474,What is the difference between logistic regression and PCA
11475,11475,How does Lstm prevent the vanishing gradient problem
11476,11476,How do you find the interquartile range of a data set
11477,11477,What does the Iqr tell you about a data set
11478,11478,What is the interquartile range rule
11479,11479,What is the difference between probability and relative frequency
11480,11480,What is the relative frequency definition of probability
11481,11481,What is the classical method of probability
11482,11482,What is the difference between Sklearn and Scikit learn
11483,11483,What is robot accuracy
11484,11484,How do you measure robot accuracy
11485,11485,What is accuracy and repeatability
11486,11486,What is a stochastic process
11487,11487,What is stochastic processes and their applications
11488,11488,How do you avoid Underfitting in linear regression
11489,11489,What is frequency in Fourier Transform
11490,11490,What is spatial domain and frequency domain
11491,11491,What is frequency domain in control system
11492,11492,Which method used time series data
11493,11493,What are the methods of estimating trend in a time series
11494,11494,What is the meaning of sampling frame
11495,11495,What are the uses of statistics in the real world
11496,11496,What are the advantages and disadvantages of non random sampling
11497,11497,What is sampling and its advantages and disadvantages
11498,11498,What is the difference between t test and Student's t test
11499,11499,What are the basic assumptions considered in linear discriminant analysis
11500,11500,How did they use the Hebbian learning in neural network
11501,11501,What is a Hebbian synapse
11502,11502,Why is entropy maximum at equilibrium
11503,11503,Which distribution has highest entropy
11504,11504,What is dimensionality reduction in data science
11505,11505,What is multivariate testing and how it is different from a B testing
11506,11506,What are multivariate tests in SPSS
11507,11507,What is NLP give an example of NLP
11508,11508,What are the NLP techniques
11509,11509,What is the y axis in a density plot
11510,11510,What is the Y axis of a probability distribution
11511,11511,What does the y axis mean on a bell curve
11512,11512,What is Double Q
11513,11513,What is double deep Q learning
11514,11514,How do you control a confounding variable
11515,11515,What is confusion matrix in ML
11516,11516,What is the frequency domain of an image
11517,11517,Is image processing a domain
11518,11518,What is frequency domain representation
11519,11519,What are the advantages of discriminative classifier
11520,11520,What is the difference between autocorrelation and cross correlation
11521,11521,What is the difference between autocorrelation and multicollinearity
11522,11522,When should probability sampling be used
11523,11523,What is the main advantage of using probability samples
11524,11524,What are the features of probability sampling
11525,11525,What is a training set used for
11526,11526,What is a good IQ score
11527,11527,Can you calculate covariance from variance
11528,11528,What is covariance divided by variance
11529,11529,What is the difference between mean and variance
11530,11530,Can QuantiFERON be false positive
11531,11531,What is IoU in Yolo
11532,11532,Where is artificial neural network used
11533,11533,What is parameters in machine learning
11534,11534,What does parameter mean
11535,11535,How do I learn statistics for data science
11536,11536,What is correlation in data mining
11537,11537,Is current a tensor quantity
11538,11538,Can two events be disjoint and independent
11539,11539,How can you tell from a Venn diagram that two events are not disjoint
11540,11540,What is the relation between Fourier transform and Fourier series
11541,11541,What is the difference between Fourier series and transform
11542,11542,What is the purpose of Fourier Series
11543,11543,Is confusion matrix a performance evaluation measure
11544,11544,What is the probable approach when dealing with exploding gradient problem in RNNs
11545,11545,What is word2vec embedding
11546,11546,What is word2vec explain with example
11547,11547,What is entropy loss
11548,11548,What is simulation and why it is used
11549,11549,What is the class imbalance problem
11550,11550,What is class imbalance and how do you deal with it
11551,11551,What conditions must be met to use the normal distribution to approximate the binomial distribution
11552,11552,What are the conditions for using the normal approximation for a sampling distribution of means
11553,11553,What is quantile regression used for
11554,11554,What is quantile on quantile regression
11555,11555,What regression analysis tells us
11556,11556,How do you calculate joint probability density
11557,11557,How do you find the expected value of a joint density function
11558,11558,What is the difference between fuzzy logic and neural networks
11559,11559,Can K means be used for categorization of text data
11560,11560,How do you convert class intervals to mid values
11561,11561,What is mid value of class interval
11562,11562,How do you find the median of a class interval
11563,11563,What is the advantage of hierarchical clustering over K means clustering
11564,11564,What is better hierarchical clustering or K means
11565,11565,What is the disadvantage of hierarchical clustering
11566,11566,Why median filter is not linear
11567,11567,Is average filter linear
11568,11568,What is pseudo order reaction give example
11569,11569,What is a pseudo rate constant
11570,11570,How do you calculate Gaussian distribution
11571,11571,How do you calculate normal distribution
11572,11572,What is alternate form reliability
11573,11573,What is unstructured data in big data
11574,11574,What is structured data and unstructured data explain with example
11575,11575,Is big data structured or unstructured
11576,11576,Which method is used to treat outliers
11577,11577,How do you know if an element in any data set is an outlier
11578,11578,Is at test a correlation
11579,11579,How does the brain or neural network works
11580,11580,What is object detection model
11581,11581,How do neural networks reduce bias
11582,11582,What is the order of a moving average
11583,11583,What is the coefficient in linear regression
11584,11584,What is the formula for line of regression
11585,11585,How do you explain a regression coefficient
11586,11586,What is the difference between standard deviation and standard error
11587,11587,What is the difference between standard deviation and margin of error
11588,11588,What does the standard error measure quizlet
11589,11589,How do you make a regression model better
11590,11590,How do you know if a linear regression model is accurate
11591,11591,How Artificial Intelligence is helpful to the world
11592,11592,Why is artificial intelligence so important
11593,11593,Is sample size standard deviation
11594,11594,What is the difference between one way Anova and t test
11595,11595,How is bias updated in neural network
11596,11596,What is bias in backpropagation
11597,11597,When would you use parametric and nonparametric tests
11598,11598,Does Elon Musk support AI
11599,11599,What does Bill Gates think of AI
11600,11600,Is Elon Musk an AI robot
11601,11601,Why do we need sigmoid function in logistic regression
11602,11602,When can the divergence theorem be used
11603,11603,Which of Theorem uses divergence operations
11604,11604,What does the skewness value mean
11605,11605,What is a median in statistics
11606,11606,How do you find the sample mean in statistics
11607,11607,How do you find the median of a set of data
11608,11608,What is the example of non numeric data
11609,11609,What is Numeric Data
11610,11610,What is the difference between numerical data and categorical data
11611,11611,What is a suggested evaluation measure for a ranking problem
11612,11612,What is a ranking algorithm
11613,11613,How do you create a rank algorithm
11614,11614,What is Keypoint descriptor in sift
11615,11615,What are descriptors in image processing
11616,11616,What is topic modeling in NLP
11617,11617,How do you use topic modeling for classification
11618,11618,How do you read Fisher's exact test
11619,11619,What are the four assumptions of multiple linear regression
11620,11620,Which of the following is not an assumption for a linear regression model
11621,11621,What is the margin of error of the sample mean
11622,11622,How do you calculate sampling error
11623,11623,How do you find the margin of error for two samples
11624,11624,How do you find the margin of error from the confidence interval for the sample mean
11625,11625,How do you find the trend line
11626,11626,How do you find the trendline of a scatter plot in Excel
11627,11627,What is a trendline equation
11628,11628,Why do we use a bell curve to assess the normality of a variable as opposed to a square triangle or some other symmetrical shape
11629,11629,When would you use a loss function
11630,11630,Can linear regression be used for time series forecasting
11631,11631,Is time series a regression
11632,11632,Can I use OLS for time series
11633,11633,How do you reconstruct a signal from its samples
11634,11634,How do you reconstruct a signal from its sample in Matlab
11635,11635,What is the condition for sampling theorem
11636,11636,What are features in CNN
11637,11637,What is feature vector in image processing
11638,11638,What is a univariate analysis of variance
11639,11639,How does maximum likelihood classification work
11640,11640,What is model parameter in machine learning
11641,11641,What do model based learning algorithms search for
11642,11642,How do you ensemble a neural network
11643,11643,What is random forest explain with example
11644,11644,How do you calculate random forest
11645,11645,What is random forest in machine learning
11646,11646,How do you find the MGF of gamma distribution
11647,11647,What does gamma distribution model
11648,11648,What is the MGF of geometric distribution
11649,11649,How is adjusted R squared calculated
11650,11650,What is the difference between R2 and adjusted R2
11651,11651,How do you find the adjusted coefficient of determination
11652,11652,What is univariate normality
11653,11653,What are the applications of outlier detection
11654,11654,What are outliers discuss the methods adopted for outlier detection
11655,11655,What are the challenges of outlier detection
11656,11656,What is the difference between stochastic gradient descent SGD and gradient descent GD )
11657,11657,How do you find the sample mean
11658,11658,Why isn't the mean of a sample always the same as the mean of a population
11659,11659,What is episode in reinforcement learning
11660,11660,What is RL agent
11661,11661,What is the use of mean square error
11662,11662,What is the time complexity of BFS
11663,11663,Why is time complexity of DFS o v e
11664,11664,What is the time complexity of the BFS algorithm If the graph is represented by the adjacency matrix
11665,11665,What is a benefit of applying a binning transformation to a field
11666,11666,What is binning in data mining
11667,11667,What are the applications of fuzzy inference systems Mcq
11668,11668,Where has fuzzy inference systems been implemented *
11669,11669,What is the log likelihood of a model
11670,11670,Which of the following is the limitation of collaborative filtering
11671,11671,What are the challenges of collaborative filtering
11672,11672,Which is the biggest advantage of a collaborative filtering recommender system
11673,11673,Is a covariance matrix invertible
11674,11674,What does covariance matrix tell us
11675,11675,How do you calculate the inverse of a matrix
11676,11676,Is the covariance matrix positive definite
11677,11677,What is outlier in data science
11678,11678,How do you solve outliers in a data set
11679,11679,What are the properties of probability distribution function
11680,11680,What is non stochastic effect
11681,11681,What is a non stochastic variable
11682,11682,What are 2 types of stochastic effects
11683,11683,What does stochastic effects mean
11684,11684,What is clustering in deep learning
11685,11685,What is the difference between Anova and linear regression
11686,11686,Why Anova and regression are the same
11687,11687,Is an Anova a regression
11688,11688,Is Anova a general linear model
11689,11689,Is r 2 correlation squared
11690,11690,What does R and R 2 mean
11691,11691,What is data in artificial intelligence
11692,11692,How does AI use data
11693,11693,Why AI is needed
11694,11694,What test is most applicable to test the convergence or divergence of the series
11695,11695,How do you check if a series is convergent or divergent
11696,11696,How do I know which series test to use
11697,11697,How do you know if a series is Harmonic
11698,11698,Which of the following is true about bagging
11699,11699,What is meant by growth curve
11700,11700,What is the meaning of discretions
11701,11701,What is the purpose of discretion
11702,11702,Is Arima considered machine learning
11703,11703,Is Time Series Analysis supervised or unsupervised
11704,11704,Is Time Series Analysis Machine Learning
11705,11705,How do you do stepwise regression in SPSS
11706,11706,How do you do bivariate regression in SPSS
11707,11707,What is an Autoencoder used for
11708,11708,How do you preprocess data for clustering
11709,11709,What does the hidden Markov model is used
11710,11710,What is difference between universe and sample
11711,11711,What is the meaning of universe in statistics
11712,11712,What's meant by sampling
11713,11713,What is population and sampling
11714,11714,What does kurtosis mean
11715,11715,What is kurtosis with example
11716,11716,What is kurtosis how is it calculated
11717,11717,What is the role of knowledge representation in artificial intelligence
11718,11718,What do you mean by knowledge in AI
11719,11719,What is the role of knowledge in intelligence behavior
11720,11720,Why do we need data pipeline
11721,11721,Which of the following is a eager learning method
11722,11722,What is the difference between data analytics and data analysis
11723,11723,What is the difference between stratified sampling and stratified random sampling
11724,11724,What is collaborative filtering in big data
11725,11725,What is collaborative filtering quizlet
11726,11726,Is it appropriate to use the one proportion z test
11727,11727,What is a 2 Prop Z test
11728,11728,What does the least squares regression line show
11729,11729,What does the regression line tell you
11730,11730,How do you use LSRL to predict
11731,11731,How is PA and B calculated
11732,11732,What does Y represent in statistics
11733,11733,What is Overfitting And how do you ensure you're not Overfitting with a model
11734,11734,What is the difference between ordinary least squares regression analysis and multiple regression analysis
11735,11735,What is confusion matrix in random forest
11736,11736,How many weights does a neural network have
11737,11737,What are Variates
11738,11738,How do you generate random variates
11739,11739,What is a z score and how are z scores used
11740,11740,What do z scores tell you
11741,11741,What is a 1D CNN
11742,11742,How do you test population proportion
11743,11743,What test statistic do we use when testing a population mean
11744,11744,What is population proportion statistics
11745,11745,How is neural network implemented in TensorFlow
11746,11746,Is TensorFlow a neural network
11747,11747,What is gradient descent batch size
11748,11748,What is the meaning of sigma in statistics
11749,11749,What does ∑ mean in statistics
11750,11750,How do you find sigma in statistics
11751,11751,What is the difference between standard deviation and Sigma
11752,11752,Is CNN a deep learning algorithm
11753,11753,Is hierarchical clustering unsupervised learning
11754,11754,Why is hierarchical clustering considered as an unsupervised machine learning algorithm
11755,11755,Is hierarchical clustering deterministic
11756,11756,What are parametric assumptions
11757,11757,What is Z test and t test
11758,11758,What is the meaning of NLU
11759,11759,What is NLU model
11760,11760,What is the full form of NLU in AI
11761,11761,What measures of variability can be used to compare two data sets
11762,11762,How do you measure variability in data
11763,11763,What is the variability of a data set
11764,11764,Can we use the standard deviation to compare variability of two or more datasets
11765,11765,Which type of problems are best suited for logistic regression
11766,11766,What is the best fit regression equation
11767,11767,Which of the following methods do we use to find the best fit line for data in linear regression
11768,11768,What are binary data types
11769,11769,How do you read binary data
11770,11770,What are binary files used for
11771,11771,What does a binary file look like
11772,11772,What is T interval in statistics
11773,11773,What is an example of a sampling frame
11774,11774,How do you define sampling frame
11775,11775,How do you teach reinforcement
11776,11776,What is reinforcement in teaching and learning
11777,11777,What are reinforcing techniques
11778,11778,What are the pros and cons of naive Bayes
11779,11779,What are the disadvantages of naive Bayesian classifier
11780,11780,How do you calculate the Sharpe ratio
11781,11781,What is an average Sharpe ratio
11782,11782,What is the difference between PD and LGD
11783,11783,How is Lgd calculated
11784,11784,Where is standard deviation used in real life
11785,11785,Where do we use variance
11786,11786,Why do we use power spectral density
11787,11787,Is K means an example of a deterministic algorithm
11788,11788,What are the difficulties faced in hierarchical clustering
11789,11789,What are the disadvantages of clustering
11790,11790,What is the difference between a one sample t test and a 2 sample t test
11791,11791,What is the main difference between the t test for dependent samples and the t test for independent samples
11792,11792,What are the advantages of real time processing
11793,11793,What is data distribution
11794,11794,What are the types of data distribution
11795,11795,How do you determine data distribution
11796,11796,What is data distribution in machine learning
11797,11797,Why is the central limit theorem so important to the study of sampling distributions quizlet
11798,11798,What does the central limit theorem tell us about a sampling distribution
11799,11799,What is the importance of studying sampling distributions
11800,11800,What is Sklearn linear regression
11801,11801,Does Scikit learn linear regression use gradient descent
11802,11802,Which library we used for linear regression
11803,11803,What two characteristics does the correlation coefficient r tell you
11804,11804,What are the two types of correlation
11805,11805,What factors affect the correlation coefficient
11806,11806,What is SVD in data science
11807,11807,How do you know if it's one or two tailed test
11808,11808,How do you know if a test is left tailed
11809,11809,How do you know which parameter is being tested
11810,11810,Why Taguchi method is used
11811,11811,What is a Taguchi diagram
11812,11812,What is the difference between path analysis and structural equation modeling
11813,11813,Is SEM a regression
11814,11814,How do you find eigenvectors
11815,11815,What is eigenvector of matrix
11816,11816,What is a linear image
11817,11817,How many variables are in a regression model
11818,11818,How many variables are used with linear regression analysis
11819,11819,How many variables should be
11820,11820,What is secondary sampling unit
11821,11821,What do you mean by multistage sampling
11822,11822,What is meant by assumptions for a statistical test
11823,11823,Which of the following assumptions do we make when applying a statistical test
11824,11824,Are the assumptions required for statistical inference satisfied
11825,11825,Which residual plot shows that the model is a good fit for the data
11826,11826,Does the residual plot show that the line of best fit is appropriate for the data
11827,11827,Which residual plot is the correct one for the data
11828,11828,Which statements describe a residual plot for a line of best fit
11829,11829,How does a naive Bayes classifier use Bayes rule
11830,11830,Why is naïve Bayes classifier naïve
11831,11831,What is the meaning of offline classes
11832,11832,How does random forest handle categorical variables
11833,11833,How do you handle categorical variables in regression
11834,11834,Can you use categorical variables in SVM
11835,11835,What distribution should be used
11836,11836,What statistics are used to test a hypothesis
11837,11837,What does the normal distribution represent in the hypothesis testing
11838,11838,What distribution should be used for hypothesis test for the mean of population standard deviation is known
11839,11839,What are the similarities and differences between the logit model for binary data and the probit model for binary data
11840,11840,What is the difference between discrete and random variables
11841,11841,What is the definition of a discrete random variable
11842,11842,How do you forecast data
11843,11843,Which of the following are types of estimation in statistics
11844,11844,What is estimation and its types
11845,11845,What is estimation method in statistics
11846,11846,What are the methods of estimating
11847,11847,What is the meaning of greedy algorithm
11848,11848,Who invented greedy algorithm
11849,11849,What is the role of NLP in text mining
11850,11850,What is NLP in data mining
11851,11851,What is the difference between text mining and NLP
11852,11852,How do you find assumptions in logistic regression
11853,11853,How do you check linearity assumption in logistic regression SPSS
11854,11854,How do you test for linearity
11855,11855,What are the assumptions for logistic and linear regression
11856,11856,In which examples could binomial distribution be used
11857,11857,What does binomial distribution tell us
11858,11858,When can the binomial distribution be used to sample without replacement
11859,11859,What is an individual outcome in the sample space
11860,11860,What is SVD in PCA
11861,11861,Is Lstm a neural network
11862,11862,Is Lstm a reinforcement learning
11863,11863,What is the difference between parametric and nonparametric models
11864,11864,What is parametric and nonparametric methods
11865,11865,What are parametric models give an example
11866,11866,What is the moment generating function of uniform distribution
11867,11867,What is the function of normal distribution
11868,11868,Is PDF a derivative of CDF
11869,11869,What is the relation between CDF and PDF
11870,11870,What is the relation between correlation and covariance
11871,11871,How do you find the correlation between two variables
11872,11872,What is Sklearn in Python
11873,11873,What is the difference between TensorFlow and Sklearn
11874,11874,How does Scikit learn work
11875,11875,What is the loss function for classification
11876,11876,What is the purpose of exploratory data analysis
11877,11877,What are the two main categories of techniques for exploring data
11878,11878,What four things are accomplished in exploratory data analysis
11879,11879,What are the advantages of exploratory data analysis
11880,11880,When can normal distribution be used
11881,11881,What is early stopping in neural network training
11882,11882,What is early stopping in machine learning
11883,11883,What is the difference between endogenous and exogenous variable
11884,11884,What is random experiment give an example
11885,11885,What is deterministic experiment
11886,11886,How does learning rate effect gradient descent
11887,11887,What is the role of learning rate alpha in gradient descent method
11888,11888,How do you calculate mean absolute error
11889,11889,What is the definition of a binomial
11890,11890,What is binomial distribution and its characteristics
11891,11891,What is a good accuracy score
11892,11892,How do you test for significant difference
11893,11893,How do you compare two samples
11894,11894,Is PCA the same as SVD
11895,11895,Why is K means better
11896,11896,How can you prevent a clustering algorithm
11897,11897,What is the difference between Multilabel and multiclass
11898,11898,How do you do the Multilabel classification
11899,11899,What is the difference between numeric data type and non numeric data type
11900,11900,What is the difference between numerical and categorical data
11901,11901,How do you control a variable
11902,11902,What does it mean to control a variable in an experiment
11903,11903,Why do we control variables
11904,11904,What percentile is new IIM call
11905,11905,What does normal distribution tell us
11906,11906,What is 2nd order derivative
11907,11907,Which order of the derivative signify the presence of the edge at a point
11908,11908,Why second derivatives are used
11909,11909,What is the relevance of bias in learning system
11910,11910,What are the weights and bias for the and Perceptron
11911,11911,Which is weight updation formula of Perceptron network
11912,11912,What is distributional evidence
11913,11913,Where are decision trees used
11914,11914,Can I use regression for Likert scale
11915,11915,How do you do regression Likert scale data
11916,11916,What is the converse of P → Q
11917,11917,How do you determine statistical treatment
11918,11918,Is logistic regression more appropriate than linear regression for a binary response variable
11919,11919,What is binary dependent variable
11920,11920,What does loss represent in neural network
11921,11921,When would you use a Poisson distribution
11922,11922,Under what conditions will you use the Poisson and the binomial probability distributions
11923,11923,How do I choose the right model
11924,11924,How do you know what classifier to use
11925,11925,How do you reduce high variance in machine learning
11926,11926,How does neural network reduce variance
11927,11927,What is TensorFlow in machine learning
11928,11928,What is capacity in machine learning
11929,11929,What is Modelling in machine learning
11930,11930,What is model complexity in machine learning
11931,11931,What is ab value in statistics
11932,11932,What is AB testing in machine learning
11933,11933,Why do we use natural logarithms
11934,11934,What can a neural network be used for
11935,11935,What is the difference between correlation and multiple regression
11936,11936,What is the difference between multiple R and R Squared
11937,11937,What is the independent variable in sociology
11938,11938,What is the meaning of dependent variable
11939,11939,When would you use a parametric test
11940,11940,What is one advantage to using nonparametric statistics instead of parametric statistics
11941,11941,What is the benefit of inferential statistics
11942,11942,What are the two types of inferential statistics
11943,11943,What do you mean by inferential statistics
11944,11944,Is Multicollinearity a problem in decision trees
11945,11945,What is the problem with Multicollinearity
11946,11946,What are the advantages and disadvantages of a box plot
11947,11947,What is linear regression indicator
11948,11948,How do you use linear regression indicator
11949,11949,How does collaborative filtering filter information
11950,11950,How do you find the empirical distribution
11951,11951,What is an empirical discrete probability distribution
11952,11952,What is the difference between an empirical and probability distribution
11953,11953,What are the limitations of logistic regression
11954,11954,What is weighted average in machine learning
11955,11955,What is clustering explain with examples
11956,11956,What is the difference between text classification and text clustering
11957,11957,What is clustering of data distinguish supervised and unsupervised classification with example
11958,11958,What is chi square test write its formula
11959,11959,What does the chi square statistic calculate
11960,11960,Is the expectation of a random variable random
11961,11961,What are the conditions for a function to be a random variable
11962,11962,Why is standard deviation better than average deviation
11963,11963,What is average deviation
11964,11964,Is standard deviation and mean the same
11965,11965,How does artificial intelligence help us
11966,11966,What is the primary reason for using cluster sampling
11967,11967,What does multinomial mean
11968,11968,Which is a binomial distribution
11969,11969,Why do we select variables
11970,11970,What is selection variable in regression SPSS
11971,11971,Is computer vision part of AI
11972,11972,What does it mean if probability is independent
11973,11973,Which filter is used in adaptive equalizer block diagram is
11974,11974,Which mechanism is used in the block diagram of adaptive filter
11975,11975,What are the modes of adaptive equalizer
11976,11976,What is meant by adaptive filter
11977,11977,What does LSH mean
11978,11978,What is the significance in Rabin Karp algorithm
11979,11979,Which of the following is correct about Rabin Karp algorithm
11980,11980,What is a Poisson distribution simple explanation
11981,11981,What is the variance of a chi squared distribution
11982,11982,How do you interpret chi squared
11983,11983,What is quota sampling Class 11
11984,11984,What is quota sampling PDF
11985,11985,What is association rule mining What are the different types of association rules
11986,11986,How do you solve Wilcoxon signed rank test
11987,11987,When should you use the Wilcoxon rank sum test
11988,11988,How do you train artificial neural networks
11989,11989,How do you train a network
11990,11990,How do you solve Z score problems
11991,11991,How do you find the z score of a word problem
11992,11992,How do you make an object detection model
11993,11993,What is object detection used for
11994,11994,What is object detection in deep learning
11995,11995,How do you get a representative sample
11996,11996,What is the partitioning method in maths
11997,11997,How do I choose the best number of K in K means clustering
11998,11998,Is it possible that assignment of observations to clusters does not change between successive iterations in K means
11999,11999,What does intra rater reliability mean
12000,12000,How do you measure intra rater reliability
12001,12001,Why is intra rater reliability important
12002,12002,What is the difference between correlational and quasi experimental research
12003,12003,What is a difference between correlational and quasi experimental research quizlet
12004,12004,What are the main differences between correlation and experiment
12005,12005,What does converge mean in machine learning
12006,12006,Is neural network good for regression
12007,12007,Why Bayesian learning methods are relevant to machine learning
12008,12008,What are the features of Bayesian learning methods
12009,12009,What is the difference between univariate bivariate and multivariate analysis
12010,12010,How does gradient descent avoid local minima
12011,12011,What is local gradient
12012,12012,What is inspection and acceptance sampling
12013,12013,What are the approaches in AI
12014,12014,What does bounding box mean
12015,12015,What is bounding box regression
12016,12016,What is a bounding box quizlet
12017,12017,What is a first order Markov chain
12018,12018,What is one limitation of the Markov model
12019,12019,How do you test the significance of a variable
12020,12020,How do you test the significance of regression coefficients
12021,12021,Why take the log of a variable in a regression
12022,12022,How many hidden layers are in deep neural network
12023,12023,What does backward chaining mean
12024,12024,What is sparse data give an example
12025,12025,What is the relationship between the precision and the uncertainty of a measurement
12026,12026,How do you calculate accuracy and precision
12027,12027,Why is the T distribution used
12028,12028,What is the difference between a relative frequency histogram and a density scale histogram
12029,12029,How do you find relative frequency density
12030,12030,How do you find the frequency density in a histogram
12031,12031,How does spiking neural networks work
12032,12032,How do you test a population proportion hypothesis
12033,12033,How do you find the test statistic for a proportion
12034,12034,What is the test statistic in hypothesis testing
12035,12035,What do you mean by sparse matrix
12036,12036,Why do we use sparse matrix
12037,12037,How do you know if a variable is quantitative or categorical
12038,12038,Is postal code qualitative
12039,12039,What does Q represent in probability
12040,12040,What does Q stand for in statistics
12041,12041,What is P and Q in probability
12042,12042,What is Q in the binomial probability formula
12043,12043,What does T value and p value mean
12044,12044,What is an acceptable P value for t test
12045,12045,What does p value less than 0.05 mean
12046,12046,How do you assign a weight to a variable
12047,12047,How do you determine weightage
12048,12048,How do you use weighting factors
12049,12049,What is weighting method
12050,12050,What are the types of event
12051,12051,What does event type mean
12052,12052,What is Event Management and its types
12053,12053,Why do we use gradient descent for linear regression
12054,12054,What is the gradient of the regression line
12055,12055,How do you test validity
12056,12056,WHAT IS environment in reinforcement learning
12057,12057,Where did morality come from
12058,12058,What makes a neural network deep versus not deep
12059,12059,Are neural networks deep learning
12060,12060,What is considered a small sample size in statistics
12061,12061,What is the minimum sample size required
12062,12062,Which of the following are the methods that we use for dimension reduction
12063,12063,What is the covariance of three random variables
12064,12064,How do you calculate multivariate covariance
12065,12065,What is a representation in machine learning
12066,12066,What is representation ML
12067,12067,How do you compare two interquartile ranges
12068,12068,How are range and interquartile range IQR the same
12069,12069,How do you interpret interquartile range
12070,12070,What is the Fourier transform of an impulse train
12071,12071,What is the function of a Fourier transform
12072,12072,What is the Fourier transform of delta function
12073,12073,What is Fourier transform of a signal
12074,12074,What makes a variable endogenous
12075,12075,What does Epsilon stand for
12076,12076,What is the function of Epsilon
12077,12077,What is Epsilon in convergent sequence
12078,12078,How do you find the probability of a uniform distribution
12079,12079,How do you solve continuous probability distribution problems
12080,12080,How do you find the percentile of a uniform distribution
12081,12081,What is the mean in statistics
12082,12082,What is the purpose of mean in statistics
12083,12083,What is mixed effects regression
12084,12084,What is the difference between security group and network ACL in AWS
12085,12085,What is the difference between network ACL and security group
12086,12086,What is the use of nacl in AWS
12087,12087,Why does the outlier affect the standard deviation
12088,12088,How do outliers affect the mean median and standard deviation
12089,12089,How many standard deviations away from the mean is an outlier
12090,12090,Do you include outliers in standard deviation
12091,12091,Can you reject the null and alternative hypothesis
12092,12092,How do you frame a null and alternative hypothesis
12093,12093,When should you reject the null hypothesis
12094,12094,What is the probability density function of a continuous random variable
12095,12095,How are probabilities calculated for continuous random variables
12096,12096,Is probability density function continuous
12097,12097,Why is linear equation called linear
12098,12098,What does linear mean in algebra
12099,12099,What is called linear
12100,12100,Who invented linear algebra
12101,12101,How do you choose a non parametric test
12102,12102,Which nonparametric test should you use to compare the results
12103,12103,Which non parametric test would you use to assess whether there is a significant difference between the mean ranks of two conditions
12104,12104,Why is principal component analysis used
12105,12105,What is PCA and LDA
12106,12106,What kind of learning algorithm is used for facial identities
12107,12107,What are the 2 types of bias
12108,12108,Why is stratified sampling better than random sampling
12109,12109,Is stratified sampling random
12110,12110,What does AUC ROC mean
12111,12111,What is the purpose of using regression analysis
12112,12112,Should I know data structures and algorithms for machine learning
12113,12113,How do you deal with missing data in regression analysis
12114,12114,Is CNN part of machine learning
12115,12115,What is CNN image classification
12116,12116,How do you interpret dimensional analysis
12117,12117,How do you find the probability when given the mean and standard deviation
12118,12118,How do you find the probability given the mean
12119,12119,How do you find the probability with mean and standard deviation on a TI 84
12120,12120,How do you find the Z score when given the mean and standard deviation
12121,12121,What is the cost function in SVM
12122,12122,What is gamma parameter in SVM
12123,12123,What is measure of central location in statistics
12124,12124,What does center mean in statistics
12125,12125,Which of the following is a measure of central location
12126,12126,Can you use nominal data in regression
12127,12127,What does the T score mean in statistics
12128,12128,How do you find the T score
12129,12129,Is T score the same as Z score
12130,12130,Is T score a standard score
12131,12131,What is exploration in reinforcement learning
12132,12132,How do you calculate FDR
12133,12133,What do we use dimensional analysis for
12134,12134,How does K Nearest Neighbor algorithm work
12135,12135,What is automatic modulation classification
12136,12136,What are different modulation techniques
12137,12137,What do you mean by amplitude modulation
12138,12138,How can model generalization be improved
12139,12139,Why is random sampling important in an experiment
12140,12140,Why was augmented reality created
12141,12141,When was augmented reality created
12142,12142,How do you read a survival plot
12143,12143,What is a tracking filter
12144,12144,How does object tracking work
12145,12145,What is unscented Kalman filter
12146,12146,What is the point of least squares regression line
12147,12147,What do you mean by binomial theorem
12148,12148,How do you measure regression accuracy
12149,12149,How correlation is calculated
12150,12150,What is another word for coefficient
12151,12151,How do you find the coefficient of a term
12152,12152,What are the two types of heuristics
12153,12153,Is artificial intelligence a science or engineering
12154,12154,What are the 2 types of artificial intelligence
12155,12155,How do you solve sampling distributions
12156,12156,How do you find the distribution of data
12157,12157,What are good learning styles
12158,12158,What is the difference between random variables and random process
12159,12159,What is deep in deep learning
12160,12160,How do you extract information from unstructured data
12161,12161,How will you extract relevant information
12162,12162,How do I extract keywords from text
12163,12163,What is the difference between bagging and random forest
12164,12164,Why do we use standard deviation and variance
12165,12165,What is the use of standard deviation
12166,12166,What is more useful variance or standard deviation
12167,12167,What are the consequences of autocorrelation
12168,12168,What does negative serial correlation mean
12169,12169,Does Random Forest reduce variance
12170,12170,Is random forest better than decision tree
12171,12171,What is Perceptron in artificial neural network
12172,12172,Which statistical procedure will you follow to find out the difference between the overall pretest and posttest scores
12173,12173,Which test is used for samples of two different times namely pre and post
12174,12174,How do you know which statistical test to use
12175,12175,How many parameters are in the convolutional layer
12176,12176,How many parameters does ResNet have
12177,12177,What is variance estimation
12178,12178,What is the estimated variance of the error terms
12179,12179,How does a computer recognize images
12180,12180,What is ReLU function in deep learning
12181,12181,What are the advantages and disadvantages of using one tailed vs two tailed tests
12182,12182,What statistical test should you run if one of your variables is categorical and you want to test an association claim
12183,12183,What is entropy in communication
12184,12184,What is the relation between entropy and mutual information
12185,12185,What are the filters in CNN
12186,12186,What will happen if we set all the weights to zero instead of random weight initializations in NN for a classification task
12187,12187,How does Word2vec deal with unknown words
12188,12188,What are the major limitation of statistics
12189,12189,Which of the following is a limitation of descriptive statistics compared to inferential statistics
12190,12190,What is inferential problem
12191,12191,What is the normal probability density function
12192,12192,Is normal distribution a density curve
12193,12193,What is the difference between DNN and CNN
12194,12194,Why is CNN good for image classification
12195,12195,What does a sigmoidal curve indicate
12196,12196,What are phases of sigmoid curve
12197,12197,Are neural networks Bayesian
12198,12198,Is the correlation coefficient The slope
12199,12199,How do you find slope from correlation coefficient
12200,12200,What would it mean if the slope of the regression line were equal to 0
12201,12201,What is meant by deep neural network
12202,12202,How Do You Measure K means performance
12203,12203,How do you validate K means clustering
12204,12204,What K score means
12205,12205,What is difference between supervised learning and unsupervised learning
12206,12206,What is the difference between supervised learning and reinforcement learning
12207,12207,What is the advantage of systematic random sampling
12208,12208,What are the advantages and disadvantages of random sampling
12209,12209,What is stratified sampling advantages and disadvantages
12210,12210,Who invented reinforcement learning
12211,12211,How do you combine normal random variables
12212,12212,What happens when you add two normal distributions
12213,12213,Is the sum of two independent random variables independent
12214,12214,Why is the sum of independent normal random variables normal
12215,12215,What is future of artificial intelligence
12216,12216,What are the properties of maximum likelihood estimator
12217,12217,How do you program machine learning
12218,12218,Which programming language is used for machine learning
12219,12219,Is there coding in machine learning
12220,12220,How are AI programmed
12221,12221,What does entropy mean
12222,12222,What is purpose of entropy in data analysis
12223,12223,What is enthalpy and entropy with example
12224,12224,What is the relationship between enthalpy and entropy
12225,12225,Why can't we use linear regression for classification
12226,12226,Can we use regression for classification problems
12227,12227,Can linear regression be used for binary classification
12228,12228,How do you measure test accuracy
12229,12229,What is the accuracy of a test
12230,12230,How do you find P value from Z score
12231,12231,How do you find P value from Z test in Excel
12232,12232,Why do we use cross entropy
12233,12233,What is an image matching technique
12234,12234,How do you apply reinforcement to learning
12235,12235,What is random forest used for
12236,12236,Can random forest be used for classification
12237,12237,What is the activation function used in Perceptron network
12238,12238,What is the purpose of the activation function in a multi layer Perceptron
12239,12239,Is the correlation coefficient r or r2
12240,12240,What does r2 correlation mean
12241,12241,What is R vs r2
12242,12242,Why is it called error function
12243,12243,How do you find error function
12244,12244,What does the error function do in Matlab
12245,12245,How do attention mechanisms work
12246,12246,How are attention weights calculated
12247,12247,Is machine learning iterative
12248,12248,Are the steps in the machine learning process apply once or iterative
12249,12249,What is Turing machine
12250,12250,What is an MDS plot
12251,12251,Why is the correlation coefficient less than 1
12252,12252,What does a correlation of mean what does a correlation of +1 mean what does a correlation of 0 mean
12253,12253,What does a correlation coefficient near +1 mean
12254,12254,How are word Embeddings created
12255,12255,Who invented word Embeddings
12256,12256,What causes high entropy
12257,12257,What does an increase in entropy mean
12258,12258,Which reaction shows an increase in entropy
12259,12259,How do you tell if there is an increase or decrease in entropy
12260,12260,Can continuous data be measured
12261,12261,What is structural equation Modelling
12262,12262,What is structural equation modeling PPT
12263,12263,Can we use L2 regularization for feature selection
12264,12264,What are the conditions for regression
12265,12265,Why regression analysis is used in research
12266,12266,What is the importance of regression analysis
12267,12267,How do you measure integrity
12268,12268,How do you know if data is non parametric
12269,12269,What is non parametric data
12270,12270,What are the measures for parametric and non parametric data
12271,12271,What does it mean for a variable to be exogenous
12272,12272,What is an exogenous variable in statistics
12273,12273,What is the best neural network model
12274,12274,In which model neural network is used
12275,12275,What is an advantage of the correlation coefficient over the covariance
12276,12276,What are the strengths and weaknesses of correlation analysis
12277,12277,How do you do multiclass classification with random forest
12278,12278,What is Test loss
12279,12279,Why can't we use accuracy as a loss function
12280,12280,Why do we need unsupervised learning
12281,12281,What is the mean of a T score distribution
12282,12282,What is the relationship between naïve Bayes and Bayesian networks What is the process of developing a Bayesian networks model
12283,12283,What is the use of image processing
12284,12284,What is unbiased estimator in statistics
12285,12285,How should we define S 2 to make sure that it is an unbiased estimator of σ 2
12286,12286,Why do we use convenience sampling
12287,12287,How do you calculate precision and recall accuracy
12288,12288,What does learning rate mean in machine learning
12289,12289,How is the chaos theory used today
12290,12290,Who created chaos theory
12291,12291,Why a linear regression is also called a least squares regression model
12292,12292,Why do we use log likelihood instead of likelihood
12293,12293,Is Pearson r the same as correlation coefficient
12294,12294,Where is the mean on a normal distribution curve
12295,12295,How do you find the dissimilarity between objects described by binary variables
12296,12296,What is correlation definition
12297,12297,What is low rank matrix
12298,12298,What is matrix factorization in machine learning
12299,12299,What are the stationary assumptions that meet with the stochastic process of time series
12300,12300,What does stationary mean in statistics
12301,12301,What is stationarity and nonstationarity
12302,12302,Why is E used in logarithms
12303,12303,Is Log Base E the same as LN
12304,12304,What does vectorization mean in Matlab
12305,12305,What does the vectorize command do
12306,12306,What is meant by vectorization
12307,12307,How do you write a vector code
12308,12308,What is stochastic in machine learning
12309,12309,What is the difference between R square and adjusted R Square
12310,12310,Why adjusted R squared is better
12311,12311,What does the R2 statistic tell you
12312,12312,What is threshold value in logistic regression
12313,12313,How do you set threshold value in machine learning
12314,12314,When should you consider logistic regression
12315,12315,What is consistency of data in statistics
12316,12316,What does multimodal mean in statistics
12317,12317,What is a multimodal model
12318,12318,How agents can be used in AI
12319,12319,What are rational agents in AI
12320,12320,What is pixel shading
12321,12321,How do you find the frequency from relative frequency
12322,12322,What's a relative frequency distribution
12323,12323,What are the measures of skewness and kurtosis
12324,12324,What is skewness explain methods of studying skewness
12325,12325,How do you determine skewness
12326,12326,What is true negative
12327,12327,Why autocorrelation is a problem
12328,12328,What are the effects of autocorrelation
12329,12329,How do you calculate recall from confusion matrix
12330,12330,How do you calculate multiclass of a confusion matrix
12331,12331,What are types of probability sampling
12332,12332,What is the easiest and most common type of probability sampling
12333,12333,What is the difference between simple random sampling and stratified random sampling
12334,12334,How relative frequency is related to probability distributions
12335,12335,Is relative frequency probability
12336,12336,What is joint probability statistics
12337,12337,How does AI genetic algorithm work
12338,12338,Why do we use Bayesian statistics
12339,12339,Is the predictor variable The independent variable
12340,12340,What does predictor variable mean
12341,12341,What is an independent predictor
12342,12342,What is the same as the independent variable
12343,12343,Why do we need regression
12344,12344,What does AI mean
12345,12345,Who invented the term AI
12346,12346,How do you deal with high imbalanced data
12347,12347,What is considered an imbalanced dataset
12348,12348,How does the least squares method work
12349,12349,What does the regression line represent
12350,12350,Which function S can you call to reshape a PyTorch tensor
12351,12351,What are the characteristics of binomial distribution
12352,12352,What makes a binomial distribution
12353,12353,What is the difference between repeatability and precision
12354,12354,What does mean and standard deviation show
12355,12355,What do standard deviation results mean
12356,12356,What do the symbols in standard deviation mean
12357,12357,What is homogeneity test in statistics
12358,12358,What problems does Heteroskedasticity cause
12359,12359,How do you test for heteroskedasticity in R
12360,12360,What is experimental research used for
12361,12361,Where is true experimental design used
12362,12362,What is an associative network
12363,12363,What is associative network in artificial intelligence
12364,12364,What describes an auto associative network
12365,12365,What are Optimizers
12366,12366,What is learning theory in machine learning
12367,12367,What is multiclass classification problem
12368,12368,What is adaptive filter in image processing
12369,12369,What is LMS adaptive filter
12370,12370,What is residual correlation
12371,12371,What happens if the Regressors are correlated
12372,12372,How do you check if residuals are correlated
12373,12373,What does partitioning mean explain and illustrate
12374,12374,What is the purpose of partitioning
12375,12375,What is the difference between one way and factorial Anova
12376,12376,What is one way Anova
12377,12377,How do you do a depth first search
12378,12378,Why is DFS o v e
12379,12379,What does it mean for a matrix A to be invertible
12380,12380,Why do we use random sampling
12381,12381,What is random sampling and why is it used
12382,12382,What is the key feature of random sampling
12383,12383,What are marginal effects in regression
12384,12384,How is marginal impact calculated
12385,12385,Under what conditions is the center of gravity and center of mass coincide
12386,12386,What is the relationship between the center of mass and the pivot point
12387,12387,What is example of isolated system
12388,12388,Can observational studies show causation
12389,12389,What type of study can show causation
12390,12390,Can causation be determined from a survey
12391,12391,What is kernel trick and how is it useful
12392,12392,What is a kernel explain the kernel trick
12393,12393,What are kernels used for
12394,12394,What is the difference between Word2vec and doc2vec
12395,12395,What is the difference between computer vision and image processing
12396,12396,What is computer vision in image processing
12397,12397,What is meant by computer vision
12398,12398,What should be practiced to avoid algorithmic bias
12399,12399,Is Word2vec deep learning
12400,12400,What is Word2vec used for
12401,12401,Is Word2vec supervised or unsupervised
12402,12402,Is Word2vec a language model
12403,12403,Is Regression a non parametric test
12404,12404,Are regression trees Parametric
12405,12405,Why precision and accuracy are determined and compared
12406,12406,How do accuracy and precision relate to reporting information
12407,12407,What does a lower significance level mean
12408,12408,What happens if the p value is low
12409,12409,Is Boosting ensemble a learning
12410,12410,How is R2 value calculated
12411,12411,What is coefficient of determination and why is it calculated
12412,12412,How do you handle uncertainty in artificial intelligence
12413,12413,What are the sources of uncertainty in artificial intelligence
12414,12414,Why does uncertainty arise in AI
12415,12415,What problems do artificial intelligence systems include
12416,12416,How do you do marginal distribution
12417,12417,What is marginal distribution in statistics
12418,12418,Which country will use artificial intelligence
12419,12419,What is cluster analysis explain different types of clusters
12420,12420,What is big data and examples
12421,12421,How do you find the number of events in a sample space
12422,12422,How many sample points are in the sample space
12423,12423,How many elements are in a sample space
12424,12424,What are disjoint sets examples
12425,12425,What does it mean if events are disjoint
12426,12426,What is an example of a independent event
12427,12427,How do you interpret odds ratios in logistic regression
12428,12428,How do you interpret a logistic regression coefficient
12429,12429,What is the significance of using masks in edge detection
12430,12430,Which edge detection method is effective
12431,12431,What is the law of large numbers with respect to histogram
12432,12432,What does it mean by false negative
12433,12433,What is the difference between false positive and false negative in security
12434,12434,What does the sum of squares error represent
12435,12435,What does the sum of squares tell you
12436,12436,Do we need fully connected output layers in convolutional networks
12437,12437,How can you determine if a regression model is good enough
12438,12438,How do you know which predictor is better
12439,12439,What is the basic difference between best first search and A * search algorithms
12440,12440,What is difference between A * and AO * algorithm
12441,12441,Is a star a greedy algorithm
12442,12442,What is bootstrapping explain with example
12443,12443,What is the difference between T and F test
12444,12444,What is meant by LDA
12445,12445,What is GLM test
12446,12446,What is hinge loss formulation for SVM
12447,12447,What is the loss function of SVM
12448,12448,What is the purpose of median in statistics
12449,12449,What is the use of median in real life
12450,12450,Is it better to use median or average
12451,12451,What are the tools for data analysis
12452,12452,What are the basic approaches of collaborative filtering
12453,12453,What is true about content based filtering
12454,12454,What causes overfitting in neural network
12455,12455,How does OLS regression work
12456,12456,What is dissimilarity matrix
12457,12457,Is machine learning computer science or statistics
12458,12458,What does inference mean in statistics
12459,12459,What is the difference between multiple regression and stepwise regression
12460,12460,How do you calculate accuracy example
12461,12461,What is transfer learning in AI
12462,12462,What is the equation for multiple regression
12463,12463,What can be said about the eigenvalues of a unitary matrix
12464,12464,What is eigen value of a matrix
12465,12465,What are the possible eigenvalues of an idempotent matrix
12466,12466,How do you find the mean of a continuous series
12467,12467,How do you find the standard deviation of a continuous series
12468,12468,What is the formula to find mean deviation
12469,12469,How do you find the mean deviation for group data
12470,12470,What is the difference between big data and data mining
12471,12471,Is data mining part of data analytics
12472,12472,What comes under big data
12473,12473,What is the role of big data in data mining
12474,12474,What does the mid range tell us
12475,12475,What is medium range
12476,12476,How do you find the mid range
12477,12477,What is the moment generating function for binomial distribution
12478,12478,How do you find the expected variable
12479,12479,Why is the mean important in statistics
12480,12480,How do I find the mean in statistics
12481,12481,How do you know if an event is dependent or independent
12482,12482,What does it mean when events are independent
12483,12483,What is the second moment about mean
12484,12484,How do you create adversarial example
12485,12485,What is Time Series in machine learning
12486,12486,What is Time Series Analysis & how is it used
12487,12487,How is a linear relationship between two variables measured in statistics quizlet
12488,12488,How do you measure the strength of the linear relationship between the two variables
12489,12489,How do you find the relationship between two variables in statistics
12490,12490,What is time series analysis and how is it used
12491,12491,What is one type of time series forecasting
12492,12492,What is artificial intelligence with example
12493,12493,What can artificial general intelligence do
12494,12494,How do you find the continuous variable
12495,12495,How do you identify a continuous and discrete random variable
12496,12496,Is linear discriminant analysis a form of clustering
12497,12497,What is the meaning of cluster analysis
12498,12498,How do you create a dataset for image classification
12499,12499,What is Logits in machine learning
12500,12500,What is Logits in neural network
12501,12501,What is uncertainty in artificial intelligence
12502,12502,What is noise in linear regression
12503,12503,What is TensorFlow and how is it used
12504,12504,What's the use of TensorFlow
12505,12505,What is TensorFlow based on
12506,12506,What is test retest validity
12507,12507,How do you find the probability of a Type II error
12508,12508,What happens to the probability of making a Type II error as the level of significance decreases Why
12509,12509,What causes Type 2 error
12510,12510,What is the main disadvantage of classification of data
12511,12511,What are the problems of classification
12512,12512,How can I train myself to multitask
12513,12513,How can I improve my multitasking skills
12514,12514,Why is it hard to multitask
12515,12515,How does autocorrelation affect regression
12516,12516,Why is autocorrelation bad in regression
12517,12517,How do you deal with autocorrelation in linear regression
12518,12518,What is interpretation in machine learning
12519,12519,What is interpretable AI
12520,12520,What does the kappa statistic measure
12521,12521,How do you create an empirical distribution
12522,12522,What box plot represents the data
12523,12523,What are the benefits of using a box plot
12524,12524,How do you interpret positive skewness
12525,12525,How do you interpret skewness in SPSS
12526,12526,What is inductive bias in ML
12527,12527,When should we use harmonic mean
12528,12528,What is the advantage of using the harmonic mean rather than averaging using the arithmetic mean )
12529,12529,What does the r2 value explain
12530,12530,How do you interpret a coefficient of determination equal to
12531,12531,How is the coefficient of determination calculated
12532,12532,What does autocorrelation mean
12533,12533,What is ACF in forecasting
12534,12534,What is autocorrelation in probability
12535,12535,What are the goals of statistics
12536,12536,What is the purpose of learning statistics
12537,12537,What is the importance of statistics in real life
12538,12538,Why do we need statistics
12539,12539,What is Bayesian thinking
12540,12540,How does stepwise selection work
12541,12541,Why do we use SSE instead of r2 in non linear regression
12542,12542,What are the limitations of the least square method
12543,12543,What is meant by signal processing
12544,12544,What is the quantization of energy
12545,12545,Why do we use convolutional neural networks
12546,12546,Why should we use CNN
12547,12547,What does density mean in a histogram
12548,12548,What is the relationship between density curves and normal distribution
12549,12549,What are the advantages of using density curves instead of Histogram
12550,12550,What is a density curve
12551,12551,What is Knn and its application
12552,12552,Can categorical variables be used in linear regression
12553,12553,What is a regression variable
12554,12554,What is linear regression one variable
12555,12555,Can cosine distance be negative
12556,12556,What is the shape of the T distribution
12557,12557,How does the shape of a T distribution change as the sample size increases explain
12558,12558,What is the sum of the probabilities in a uniform probability distribution
12559,12559,How is learning rate calculated
12560,12560,What are the signs of deception
12561,12561,What are examples of deception
12562,12562,What are three deception signs
12563,12563,How is KNN algorithm implemented
12564,12564,How does Knn determine value of K
12565,12565,What is the opposite of stochastic
12566,12566,What is stochastic and deterministic
12567,12567,What is considered a normal distribution
12568,12568,What industry uses AI
12569,12569,In what fields are AI applied
12570,12570,How does the Gaussian filter work
12571,12571,What does average deviation tell you
12572,12572,Has the Monty Hall problem been tested
12573,12573,What is naive in naive Bayes algorithm
12574,12574,What is recommendation system in machine learning
12575,12575,What is classification in image processing
12576,12576,Which is better linear or logistic regression
12577,12577,What is the difference between a ratio scale of measurement and an interval scale of measurement
12578,12578,What is the difference between interval and ratio data
12579,12579,How do you get a sample to estimate a population mean
12580,12580,What are sample statistics used to estimate
12581,12581,When estimating the population mean with a small sample
12582,12582,Which is a type of entropy coding
12583,12583,What does K signifies in K means algorithm
12584,12584,When to use K means
12585,12585,Is median affected by extreme values
12586,12586,What does the covariance tell us
12587,12587,What does covariance correlation measure
12588,12588,What is a high covariance value
12589,12589,How does AI improve humanity
12590,12590,How does AI affect human rights
12591,12591,What is the loss function used for logistic regression
12592,12592,What is the normal approximation to the binomial distribution
12593,12593,What are two characteristics of artificial intelligence
12594,12594,What is network analysis
12595,12595,What is network analysis in data science
12596,12596,How do you analyze network data
12597,12597,Are simulations needed for reinforcement learning
12598,12598,What is the difference between local and global minima Maxima
12599,12599,How do the mean and median compare
12600,12600,How does the mean and median compare in a uniform distribution
12601,12601,What is the relationship between mean mode and median for a distribution
12602,12602,What is a P value and how is it used to make a decision about the null hypothesis
12603,12603,What a P value tells you about statistical significance
12604,12604,What does a P value mean
12605,12605,Why do you log transform data
12606,12606,How do you know when to transform data
12607,12607,How do you report log transformed data
12608,12608,How do you reverse a log transformation
12609,12609,Does a simple linear regression model appear to be appropriate
12610,12610,What is considered a high coefficient of variation
12611,12611,How do you know if a model is statistically significant
12612,12612,What is strata in data
12613,12613,What is Strata size
12614,12614,What is the difference between strata and cluster
12615,12615,How do you create an expert system
12616,12616,What is expert system with example
12617,12617,What are the two parameters of a lognormal distribution
12618,12618,What is temporal data in GIS
12619,12619,How do you know if a regression model is statistically significant
12620,12620,How do you determine if a coefficient is statistically significant
12621,12621,What does lowering learning rate in gradient descent leads to gradient overshooting
12622,12622,How do you interpret the area under the ROC curve
12623,12623,What is smoothing in naive Bayes
12624,12624,How does the naive Bayesian classification works explain
12625,12625,How do you explain sample size
12626,12626,How do you determine if there is a correlation between two variables
12627,12627,What statistical test is used for correlations
12628,12628,Which kind of test can be applied for correlation analysis
12629,12629,How do you interpret Jaccard's coefficient
12630,12630,What is meant by similarity index
12631,12631,What does the T value tell you
12632,12632,What is significance level in t test
12633,12633,Why do we use bootstrap in statistics
12634,12634,What is the use of neural network
12635,12635,Are the mean and variance equal in the Poisson distribution
12636,12636,Which distribution has mean and variance same
12637,12637,How do you find the variance of a Poisson distribution
12638,12638,How do I convert a text file to data
12639,12639,Which file formats are supported by Weka
12640,12640,What type of analysis is chi square
12641,12641,Is t test a univariate analysis
12642,12642,How do you find corresponding z scores
12643,12643,What is the z score corresponding to the mean
12644,12644,How do you find the area of a shaded Z score
12645,12645,Can a regression be nonlinear
12646,12646,What is nonlinear regression analysis
12647,12647,What is a neuron in AI
12648,12648,What is the role of a neuron in a neural network
12649,12649,What is batch learning
12650,12650,How do you interpret probability
12651,12651,What is density and how is it measured
12652,12652,What does density measure mean
12653,12653,How do you find the density
12654,12654,Does a scale measure density
12655,12655,What is binning technique
12656,12656,Is Google considered AI
12657,12657,What are the examples of AI
12658,12658,What are the degrees of freedom in a chi square test
12659,12659,What are the degrees of freedom for a chi square test of independence conducted on a 5x4 contingency table
12660,12660,How do you find the degrees of freedom for a chi square goodness of fit test
12661,12661,What is an image based backup
12662,12662,What is the difference between a backup and a system image
12663,12663,What is image level
12664,12664,When should a paired t test be performed instead of a two sample t test a paired t test should be performed instead of a two sample t test when the variable of interest is categorical a paired t test should be performed instead of a two sample t
12665,12665,When would you use a paired sample t test
12666,12666,When should a paired t test be performed choose the correct answer below a A paired t test should be performed when the variable of interest is quantitative There are two groups being compared and the samples taken are independent B A paired t test should be performed when the variable
12667,12667,What are the conditions for a paired t test
12668,12668,How do you know if a variable is discrete
12669,12669,How can I learn algorithms faster
12670,12670,How can I improve my algorithm skills
12671,12671,What is AI translation
12672,12672,What is machine translation and its types
12673,12673,How do you determine the number of neurons in an output layer
12674,12674,How many neurons are there in output layer of artificial neural network
12675,12675,What is the definition of binomial probability distribution
12676,12676,What is a log log transformation
12677,12677,Which of the following analysis is done when you have two dependent variables
12678,12678,How do you compare two dependent variables in SPSS
12679,12679,What is a two variable analysis
12680,12680,Can Z scores be used for skewed
12681,12681,What can Z scores be used for
12682,12682,What does Association mean in statistics
12683,12683,What is Association and correlation
12684,12684,How do you know if you have an association
12685,12685,What is CA in statistics
12686,12686,What is the meaning of non parametric test
12687,12687,Can we use XGBoost for regression
12688,12688,How does XGBoost work for regression
12689,12689,Is XGBoost a classification or regression
12690,12690,Is gradient boosting linear regression
12691,12691,Which type of series have class interval
12692,12692,How is time series different from the usual regression problem
12693,12693,What is the difference between regression and forecasting
12694,12694,What does time series mean
12695,12695,How do you analyze cluster analysis
12696,12696,How can Investigations prevent bias
12697,12697,Why should we eliminate bias in our investigations
12698,12698,What is the difference between standard deviation and coefficient of variation
12699,12699,How do you interpret standard deviation and variance
12700,12700,What does the mean and standard deviation tell you
12701,12701,What is the metric system simple definition
12702,12702,What are the example of metric system
12703,12703,How do I make my neural network better
12704,12704,How can CNN model be improved
12705,12705,How can I speed up my neural network training
12706,12706,Why is neural network better
12707,12707,What are CNN models
12708,12708,What is Laplacian of Gaussian in image processing
12709,12709,Why Laplacian operator is normally used for image sharpening operations
12710,12710,What is the purpose of the kernel trick in SVM
12711,12711,What is kernel scale in SVM
12712,12712,What is SVM discuss support vector kernel types
12713,12713,What is meant by batch size
12714,12714,What does anomaly detection mean
12715,12715,What is unsupervised learning method
12716,12716,What is the difference between a standard normal distribution and a normal distribution
12717,12717,How do you convert uniform distribution to normal distribution
12718,12718,Which algorithm is used in supervised learning
12719,12719,How does a machine learning algorithm work
12720,12720,How does deep learning algorithm work
12721,12721,What does a significance of 0.000 mean
12722,12722,How do you know what level of significance to use
12723,12723,What determines a normal distribution
12724,12724,What is a normal distribution and what conditions make a distribution normal
12725,12725,Does reinforcement learning need training data
12726,12726,What is offline reinforcement learning
12727,12727,What is meant by regression model
12728,12728,What is batch normalization used for
12729,12729,What are the advantages and disadvantages of clustering data
12730,12730,What conditions are required by the central limit theorem before a confidence interval of the population mean may be created
12731,12731,Is gradient descent deterministic
12732,12732,What does a continuous variable mean
12733,12733,Is a random variable always continuous
12734,12734,What is input and output unit with example
12735,12735,What is an IO unit
12736,12736,How do you interpret a negative regression coefficient
12737,12737,What does a negative coefficient mean
12738,12738,How do you find the critical and rejection region on a TI 84
12739,12739,How do you improve linear regression model
12740,12740,How do you evaluate the accuracy of a regression model
12741,12741,What makes a good linear regression model
12742,12742,What are the 2 types of inferential statistics
12743,12743,How many types of inferential tests are there
12744,12744,What are the two main methods used in inferential statistics
12745,12745,Why is odds ratio used in case control studies
12746,12746,How do you find the odds ratio
12747,12747,Is the standard deviation a measure of central tendency or dispersion
12748,12748,Which are examples of a measure of central tendency
12749,12749,Why is validation necessary in machine learning
12750,12750,Is the Gini Coefficient a good measure of inequality
12751,12751,What is the relationship between probability and inferential statistics
12752,12752,What is the relationship between probability and statistics
12753,12753,What is probability and statistical inference
12754,12754,How do statisticians use probability
12755,12755,What is included in exploratory data analysis
12756,12756,What is the use of explanatory data analysis
12757,12757,What is meant by time series
12758,12758,What are types of convolution
12759,12759,What are the different types of CNN
12760,12760,How many types of convolutional neural networks are there
12761,12761,What are the different types of data structures
12762,12762,What is the basic concept of estimation
12763,12763,What is theory of estimation in statistics
12764,12764,How do you read a standardized score
12765,12765,What are covariates in a study
12766,12766,What is the difference between a covariate and an independent variable
12767,12767,What are the two main reasons for including covariates in Anova
12768,12768,What are the different regularization techniques to overcome over fitting
12769,12769,Which is not a regularization method
12770,12770,Does a histogram show the median
12771,12771,How do we find the median
12772,12772,What is descriptive statistics in statistics
12773,12773,How do you know if its a statistic or parameter
12774,12774,What is the difference between statistic and statistics
12775,12775,What is amplitude spectrum
12776,12776,How do you find Fourier amplitude
12777,12777,How do you find the amplitude of a spectrum
12778,12778,What is FFT magnitude
12779,12779,Is P value and significance the same
12780,12780,Why do we use frequency analysis
12781,12781,What is a cell in Lstm
12782,12782,What are the benefits of multimodal learning
12783,12783,What is loss value in deep learning
12784,12784,What is epoch and batch in deep learning
12785,12785,What is epoch in deep learning
12786,12786,What does it mean when something is variable
12787,12787,What is considered a strong correlation coefficient
12788,12788,What does a correlation coefficient of 0.3 mean
12789,12789,How do you calculate relative frequency in Excel
12790,12790,What does validity mean in assessment
12791,12791,What is validity and reliability in assessment
12792,12792,How do you ensure validity in assessment
12793,12793,What is the difference between validity and reliability in assessment
12794,12794,Why is ReLU so popular
12795,12795,What is the critical value at the 0.02 level of significance
12796,12796,What is meant by the phrase association is not causation
12797,12797,How do you normalize bounding box coordinates
12798,12798,What is a basis function in machine learning
12799,12799,What is filter in image processing
12800,12800,What is smoothing filter in image processing
12801,12801,How do you use a decision tree
12802,12802,What is a decision tree in ML
12803,12803,When should you use random forest
12804,12804,When use neural network vs random forest
12805,12805,Is random number generator an example of AI
12806,12806,What is a fallacy example
12807,12807,What is meant by the term curse of dimensionality
12808,12808,How do you find the dataset
12809,12809,How do you find the datasets for machine learning
12810,12810,What is TF IDF model
12811,12811,What can you do with computer vision
12812,12812,Why do you like computer vision
12813,12813,Why is P value of 0.05 Significant
12814,12814,What is recall in confusion matrix
12815,12815,How can you tell if two events are independent or dependent
12816,12816,Are A and a complement independent events
12817,12817,What are different types of classification algorithms
12818,12818,What are the Hyperparameters of SVM
12819,12819,What is the purpose of class boundaries
12820,12820,What is the difference between a class limit and a class boundary
12821,12821,What is AUC formula
12822,12822,How do you calculate AUC from TPR to FPR
12823,12823,What are the characteristics of international communication
12824,12824,How do you communicate internationally
12825,12825,What is a randomized quicksort
12826,12826,Why is quicksort randomized
12827,12827,What is randomized quicksort Analyse the expected running time of randomized quicksort with the help of a suitable example
12828,12828,Why IIR filter is unstable
12829,12829,What does an IIR filter do
12830,12830,How do you calculate flux using the divergence theorem
12831,12831,Is divergence the same as flux
12832,12832,What does divergence theorem tell us
12833,12833,How do I choose an ARMA model
12834,12834,How do you interpret normality
12835,12835,What P value indicates normality
12836,12836,What is a uniform distribution in statistics
12837,12837,What is boosting vs bagging
12838,12838,How do you improve classification
12839,12839,How do you classify an image
12840,12840,Which are the important image classification aspects
12841,12841,Is SPSS a statistical test
12842,12842,How are confidence intervals used in real life
12843,12843,How do you find the p of a binomial distribution
12844,12844,How do you find probability with N and P
12845,12845,What is LDA in text mining
12846,12846,When should a one tailed test be used a two tailed test
12847,12847,How do you know if a test is one tailed or two tailed
12848,12848,Do we need to normalize data for linear regression
12849,12849,What is normalize in linear regression
12850,12850,Can temporal difference and Q learning learn representation a mean field theory
12851,12851,What is Hyperparameter optimization in machine learning
12852,12852,How is the grid search method used in Hyperparameter optimization
12853,12853,Which dataset you would use for Hyperparameter tuning
12854,12854,When did AI start
12855,12855,How do you create a deep learning model
12856,12856,How do you make a deep neural network from scratch
12857,12857,What is deep learning model
12858,12858,What is the difference between T and F statistic
12859,12859,What is data partitioning used for
12860,12860,What does finite mean in statistics
12861,12861,What are neural networks in AI
12862,12862,What is artificial neural network explain with an example
12863,12863,What does Least squares mean in LSRL
12864,12864,What is label in image
12865,12865,What are connected components in image processing
12866,12866,What is label matrix in Matlab
12867,12867,Are implicit bias and unconscious bias the same thing
12868,12868,What is unconscious bias mean
12869,12869,How is entropy related to information
12870,12870,What is meant by entropy of an image
12871,12871,How do you find the population mean from the sample mean
12872,12872,How do you calculate population and sample
12873,12873,How do you calculate population mean from sample mean in Excel
12874,12874,Is range a measure
12875,12875,Is range a measure of center or spread
12876,12876,What does measure of location mean
12877,12877,What is a least squares estimate
12878,12878,What is generalization neural network
12879,12879,What is meant by model generalization
12880,12880,What do AIC and BIC mean
12881,12881,What is AIC in statistics
12882,12882,What is AIC and BIC in machine learning
12883,12883,What does BIC mean in statistics
12884,12884,What is clustering used for in machine learning
12885,12885,What are the characteristics of a binomial experiment
12886,12886,What is Max pooling used for
12887,12887,What is covariance and correlation in statistics
12888,12888,How do you find covariance in statistics
12889,12889,What is inference engine in artificial intelligence
12890,12890,Why is expert system needed
12891,12891,What level of statistics is needed for data science
12892,12892,How statistics is used in data science
12893,12893,What is the best regression algorithm
12894,12894,How do you find the maximum likelihood
12895,12895,What is maximum likelihood classification
12896,12896,What is the difference between discriminant analysis and logistic regression
12897,12897,What is the use of discriminant analysis
12898,12898,What is Anova and its uses
12899,12899,What is the basic principle of Anova
12900,12900,Is GLM linear
12901,12901,What causes bias in statistics
12902,12902,How do you remove sample bias
12903,12903,How is statistics used in anthropology
12904,12904,How can we reduce learning rate
12905,12905,What are the limitations of intelligence
12906,12906,Is it safe to assume that the sampling distribution
12907,12907,Why is it important for a sampling distribution to be normal
12908,12908,Why do we use exploratory factor analysis
12909,12909,What are the main objectives of factor analysis
12910,12910,What are advancements in artificial intelligence
12911,12911,What is vector model in information retrieval
12912,12912,What is a vector model
12913,12913,What is the meaning of vector space
12914,12914,What type of model is used for text retrieval
12915,12915,How many types of image segmentation are there
12916,12916,What do you mean by image segmentation
12917,12917,What is the need of image segmentation
12918,12918,What is image segmentation in Matlab
12919,12919,Is sample variance the same as standard deviation
12920,12920,What is the meaning of sample variance
12921,12921,What is central tendency in statistics
12922,12922,How do you find the central value
12923,12923,How does NLP work in machine learning
12924,12924,Why is probability sampling not applicable to qualitative research
12925,12925,Why is non probability sampling used
12926,12926,Why are probability sampling methods important for qualitative research
12927,12927,How do I encrypt a message with RSA
12928,12928,What is a mode interval
12929,12929,How do I calculate the mode
12930,12930,When was AI first invented
12931,12931,How do you find the simple matching coefficient
12932,12932,What is segmentation in machine learning
12933,12933,Why segmentation is important in image processing
12934,12934,What is a segmentation mask
12935,12935,Which are the ensemble techniques
12936,12936,Is K means an ensemble method
12937,12937,What is the purpose of a paired t test
12938,12938,Which of the following is a good example of when we would use a paired t test
12939,12939,What are the advantages of dimensionality reduction
12940,12940,What's the difference between random forest and gradient boosting
12941,12941,How does random forest reduce variance
12942,12942,Why is batch normalization used
12943,12943,What is jackknife regression
12944,12944,What is the best measure of spread for a skewed distribution
12945,12945,How do you deal with a skewed distribution
12946,12946,What is padding in CNN
12947,12947,How does CNN calculate number of filters
12948,12948,How do you change a target variable
12949,12949,Do we need to scale target variable
12950,12950,What is hidden option in Task Scheduler
12951,12951,What does 0x2 mean in Task Scheduler
12952,12952,Why do we have to identify the variables
12953,12953,How do you find the saddle point of a matrix
12954,12954,What is saddle point example
12955,12955,How many saddle points can a matrix have
12956,12956,How do you calculate cluster accuracy
12957,12957,What is true about K means clustering
12958,12958,What does a density plot tell you
12959,12959,How do you graph probability density function
12960,12960,What is significance level in regression
12961,12961,What does it mean if a variable is statistically significant
12962,12962,What is the difference between actual and formal parameter explain with example
12963,12963,How do you find the probability of a probability distribution
12964,12964,What is a discriminative classifier
12965,12965,Why do we use Fourier analysis
12966,12966,What is the Fourier series used for
12967,12967,How does Fourier analysis work
12968,12968,How do you solve conditional probability
12969,12969,What is conditional problem solving explain with an example
12970,12970,How do you solve PA and B
12971,12971,What is bivariate and multivariate
12972,12972,What is Scikit used for
12973,12973,What does Scikit stand for
12974,12974,What is Scikit in Python
12975,12975,How is the efficient frontier determined
12976,12976,What does it mean if a variable is continuous
12977,12977,How do you compare two continuous variables in SPSS
12978,12978,How is the Z test different from Z score analysis Course Hero
12979,12979,What is the difference between z score and z value
12980,12980,What is the use of kurtosis
12981,12981,What does the kurtosis value tell us
12982,12982,How do classifiers work
12983,12983,What is the difference between term frequency and TF IDF
12984,12984,What is a precision recall curve
12985,12985,What is intelligence quizlet
12986,12986,What is the difference between feedforward neural network and backpropagation
12987,12987,What is the importance of scatter plot
12988,12988,What is the role of scatter diagram in the theory of regression
12989,12989,What is scatter plot in regression
12990,12990,How is the shape of the F distribution affected by the degrees of freedom
12991,12991,What is K means in data mining
12992,12992,Why is the normal distribution not a good model
12993,12993,Under what circumstances is the distribution of sample means not normal
12994,12994,When was random forest invented
12995,12995,Why is backward chaining used for diagnostic problems
12996,12996,What is the difference between sample mean and population mean called
12997,12997,What describes an Autoassociative network
12998,12998,What is auto associative network in AI
12999,12999,Is there any error in linear Autoassociative networks
13000,13000,What are predicted values in regression
13001,13001,Why do we use the linear regression equation when predicting
13002,13002,Can you correlate categorical variables
13003,13003,How do you convert categorical variables to continuous variables
13004,13004,What are the principles of simple random sampling
13005,13005,What is Delta Rule explain
13006,13006,For which of the following cases could you use logistic regression
13007,13007,What are the statistical tools used in testing hypothesis
13008,13008,What are statistical tests used for
13009,13009,What is the purpose of hypothesis testing using statistics
13010,13010,What is the test statistic used in the hypothesis test for the difference between the two population means
13011,13011,What is simple linear regression and why is it useful
13012,13012,What do we mean when we say that a simple regression model is statistically useful
13013,13013,Why is linear regression useful
13014,13014,How does sample size affect a study
13015,13015,How does sample size affect the size of the standard error for the sample mean difference
13016,13016,How does small sample size effect results
13017,13017,What is the normal curve used for
13018,13018,How do you tell if a curve is normally distributed
13019,13019,How do you use clustering
13020,13020,What is oof in machine learning
13021,13021,What is multiple regression used for
13022,13022,What is multi target regression
13023,13023,What is multiple regression in machine learning
13024,13024,Is multiple regression linear
13025,13025,Are support vector machines machine learning
13026,13026,What is a vector in neural network
13027,13027,What is reconstruction error in Autoencoder
13028,13028,Who invented Autoencoders
13029,13029,Is AI or big data better
13030,13030,Is Big Data a part of artificial intelligence
13031,13031,What is the logistics growth model
13032,13032,What is logistic population growth
13033,13033,What is an assumption of the logistic model of population growth
13034,13034,What is the equation for population growth
13035,13035,How do you use control variables
13036,13036,What is Tokenize in NLP
13037,13037,What does unbiased mean
13038,13038,What is data analysis in simple words
13039,13039,What is data analysis with example
13040,13040,What are the types of data analysis
13041,13041,Why is data analysis important
13042,13042,Why are errors normally distributed
13043,13043,Why is it important for residuals to be normally distributed
13044,13044,How do you find a simple random sample
13045,13045,Why do we use simple random sampling
13046,13046,What is the difference between simple random and systematic sampling
13047,13047,What is the difference between binomial distribution and geometric distribution
13048,13048,What is the difference between CNN and DNN
13049,13049,Why is the likelihood function not a probability
13050,13050,How do you find the cumulative probability distribution
13051,13051,How do you test for Multicollinearity in logistic regression SPSS
13052,13052,How does logistic regression handle Multicollinearity
13053,13053,How do you handle Multicollinearity in logistic regression in R
13054,13054,What do you mean by decision analysis
13055,13055,What is tabular reinforcement learning
13056,13056,Which type of learning approaches the Q learning algorithm
13057,13057,What does the T critical value mean
13058,13058,How do you calculate model lift
13059,13059,What are the topics in data structures and algorithms
13060,13060,What is the goal of regression
13061,13061,What is correlation in simple words
13062,13062,What is the definition of correlational
13063,13063,What does weighted mean difference mean
13064,13064,Is the mean difference the effect size
13065,13065,What is Bandit testing
13066,13066,How does Thompson sampling work
13067,13067,How is ACF calculated
13068,13068,How do you calculate cross correlation
13069,13069,How do you determine your learning rate
13070,13070,Why are convolutions useful for images
13071,13071,How many convolutions are there
13072,13072,What are the applications of supervised machine learning
13073,13073,How can machine learning be improved
13074,13074,What is model tuning in machine learning
13075,13075,How do you develop a model in machine learning
13076,13076,What is the difference between probability and probability density function
13077,13077,How is Bayesian statistics different
13078,13078,Is Bayesian statistics machine learning
13079,13079,How hard is Bayesian statistics
13080,13080,How do you determine if there is an outlier
13081,13081,What is an outlier in a data set
13082,13082,Which of the following fill algorithm is used for filling with different type of colors
13083,13083,What is the meaning of statistics and probability
13084,13084,What is entropy of an information source
13085,13085,What is data entropy
13086,13086,What is mean and standard deviation
13087,13087,How do you know if data is independent
13088,13088,Is a random variable independent of itself
13089,13089,What does it mean for two variables to be independent
13090,13090,What does higher entropy mean
13091,13091,What is an example of high entropy
13092,13092,How do you know which substance has higher entropy
13093,13093,What is a tag in Python
13094,13094,What are the applications of linear algebra in real life
13095,13095,What are the application of linear algebra in computer science
13096,13096,What are the applications of linear equations
13097,13097,What are typical applications of matrices
13098,13098,Can we use regression for classification
13099,13099,What are the conditions for using the normal approximation for a sampling distribution of proportions
13100,13100,What is the difference between chi square and t test
13101,13101,How does a classification tree work
13102,13102,How do you read a decision tree
13103,13103,What is a modified Boxplot
13104,13104,What is the difference between a Boxplot and a modified Boxplot
13105,13105,How do you read a modified box plot
13106,13106,When would you use a box plot
13107,13107,What does it mean if your model has Overfit the data
13108,13108,Is Z test better than t test
13109,13109,Why are t tests more variable than Z tests
13110,13110,How do you identify a hypergeometric distribution
13111,13111,How does a Canny edge detector work
13112,13112,Why is Canny edge detected
13113,13113,How do you explain Poisson distribution
13114,13114,What is Poisson distribution explain the characteristics and formula for Poisson distribution
13115,13115,What is lambda in a Poisson distribution
13116,13116,What type of variables are used in logistic regression
13117,13117,What is multicollinearity problem in regression
13118,13118,What is naive Bayes in data mining
13119,13119,What is Bayesian classifier in data mining
13120,13120,How do you test the relationship between variables
13121,13121,Which statistical methods are used to find measures of relationship
13122,13122,What type of research provides a statistical analysis of the relationships among variables
13123,13123,What is the difference between nominal and ordinal levels of measurement
13124,13124,What is the difference between data measured on an interval scale and data measured on a ratio scale
13125,13125,What is the difference between ordinal and interval data
13126,13126,Why is it important to understand the different levels of measurement
13127,13127,What is the difference between Y and Y hat
13128,13128,Is Huber loss differentiable
13129,13129,How do you explain conditional probability
13130,13130,What is the law of averages mean
13131,13131,What is belief network in artificial intelligence
13132,13132,What is feature engineering for machine learning
13133,13133,When can you use Z test
13134,13134,What is Markov model in data compression
13135,13135,Why do you mean by classification
13136,13136,What is smoothing of data
13137,13137,What is smoothing of image
13138,13138,What is smoothing in machine learning
13139,13139,What does value mean in decision tree
13140,13140,What is expected value in decision tree
13141,13141,What is the value of a chance node in a decision tree
13142,13142,What is reasoning and types
13143,13143,What is reasoning in machine learning
13144,13144,What is Knowledge Representation and Reasoning in AI
13145,13145,How can participant bias affect the outcome of a study
13146,13146,How can Investigator effects be reduced
13147,13147,How do you do sampling
13148,13148,How do you sample a multivariate normal distribution
13149,13149,What is the difference between R and r2
13150,13150,What is the meaning of cross sectional analysis
13151,13151,Is squared error loss convex
13152,13152,What is SGD in Python
13153,13153,What are the advantages of using mean in statistics
13154,13154,What resolution is 48MP
13155,13155,How is weighted mean score calculated
13156,13156,How do you calculate weights
13157,13157,Why is SVD useful
13158,13158,Can SVD be used for dimensionality reduction of non linear data
13159,13159,Which of the following is an example of quota sampling
13160,13160,Where is quota
13161,13161,Is quota sampling purposive
13162,13162,What is WordNet in NLP
13163,13163,How do you create a WordNet
13164,13164,Is normal distribution a probability distribution
13165,13165,How are probabilities involving the normal distribution computed
13166,13166,How is the normal distribution related to t distributions
13167,13167,Which is true about test retest reliability
13168,13168,What is acceptable test retest reliability
13169,13169,What does test retest reliability really indicate
13170,13170,What is a true mean in statistics
13171,13171,What is the mean of the sample means equal to
13172,13172,What is the set of all possible outcomes of a probability experiment called
13173,13173,What is possible outcome in probability
13174,13174,When would you use analysis of variance
13175,13175,Is Root MSE the standard deviation
13176,13176,How do you find the root mean square standard deviation
13177,13177,What is root mean square in statistics
13178,13178,How much data do you need to train a model
13179,13179,Is the median the same as the second quartile
13180,13180,What does the second quartile represent
13181,13181,What are neurons in a neural network
13182,13182,Is time a categorical variable
13183,13183,How do you find the median of a continuous distribution
13184,13184,How do you find the precise median of a continuous variable
13185,13185,How do you find the median on a cumulative frequency table
13186,13186,What is the formula to find the median of the data
13187,13187,Who introduced artificial intelligence
13188,13188,When was Artificial Intelligence AI born
13189,13189,What causes sampling error
13190,13190,How can sampling errors be prevented
13191,13191,Can statistics be used as evidence
13192,13192,Who said you can prove anything with statistics
13193,13193,What can statistics be used for
13194,13194,Why is the pooling layer used in a convolutional neural network
13195,13195,What is the classification error
13196,13196,How is machine learning accuracy calculated
13197,13197,How do you measure the accuracy of a ML model
13198,13198,How do you find the accuracy of a model
13199,13199,How do you calculate principal components in R
13200,13200,How do you conduct a principal component analysis
13201,13201,How do I check social media analytics
13202,13202,Is there a tool that does it all social analytics )
13203,13203,What we can do for social media analytics
13204,13204,What is a social media analytics tool
13205,13205,What is batch normalization Tensorflow
13206,13206,What is the Predict function in R
13207,13207,How do you predict probabilities in R
13208,13208,What does sparse coding of nerve impulses imply
13209,13209,What is the other name of regularization in linear regression
13210,13210,Why is maximizing likelihood equivalent to maximizing the log likelihood
13211,13211,What is sample space and event
13212,13212,What is the difference between Word2Vec and doc2vec
13213,13213,What does the t test tell you
13214,13214,What does LSI keywords mean
13215,13215,How do I find LSI keywords
13216,13216,What is the definition of normal distribution in statistics
13217,13217,What is a normal distribution used for
13218,13218,What are the disadvantages of the linear regression model
13219,13219,What is lambda in exponential distribution
13220,13220,How do you find the parameter of an exponential distribution
13221,13221,Is machine learning neural networks
13222,13222,What is TensorFlow built on
13223,13223,What is multiple imputation method
13224,13224,What TensorFlow 2
13225,13225,How do machine learning algorithms compare
13226,13226,How do you compare two algorithms
13227,13227,How do you find the exact probability
13228,13228,What determines the exact shape of a normal distribution curve
13229,13229,Is predictive analytics part of AI
13230,13230,What is predictive AI
13231,13231,What are the three types of normal distribution
13232,13232,What is the difference between normal distribution and Poisson distribution
13233,13233,What is feature matrix
13234,13234,What is a feature space in machine learning
13235,13235,How do I optimize meta description
13236,13236,What is K in clustering
13237,13237,What is the assumption made in naive Bayes algorithm
13238,13238,Which assumption makes the naïve Bayesian classifier different from the general Bayesian model
13239,13239,What is the naive assumption in a naive Bayes classifier Mcq
13240,13240,Why a naive Bayes classifier is with the assumption of independence between the features
13241,13241,What are the limitations of the semantic networks
13242,13242,What is MU in normal distribution
13243,13243,What does μ represent in the Z score formula
13244,13244,What are the mean μ and variance σ2 of the standard normal random variable
13245,13245,What is the difference between a class boundary and a class limit quizlet
13246,13246,How do you identify the class boundaries
13247,13247,What do you mean by parametric test
13248,13248,What is vector and vector space
13249,13249,What is difference between vector space and field
13250,13250,What defines a vector space
13251,13251,What is offset in linear regression
13252,13252,What is offset variable in Stata
13253,13253,How many laws of probability are there
13254,13254,How do you tell if a integral converges or diverges
13255,13255,How do you find the sum of squared residuals
13256,13256,How do you find the sum of residuals
13257,13257,How is sum of squares calculated
13258,13258,How do you find the mean square of residuals
13259,13259,What is the main difference between a T test and an Anova
13260,13260,What is social engineering in hacking
13261,13261,Why is zero initialization not recommended for weight initialization
13262,13262,Where do we use standard deviation
13263,13263,Is RMS equal to standard deviation
13264,13264,What does RMS mean in statistics
13265,13265,What does RMS deviation mean
13266,13266,What is the difference between random and stratified sampling
13267,13267,What is the difference between a random sample and simple random sample
13268,13268,What is sampling discuss random and stratified types of sampling
13269,13269,What is stratified sampling quizlet
13270,13270,What is convolution integral and where do we use it
13271,13271,What are the properties of convolution integral
13272,13272,What is convolution in Laplace transforms
13273,13273,What is Thorndike's theory of learning
13274,13274,How do Skinner and Thorndike describe learning
13275,13275,What is F test used for
13276,13276,Why do residuals need to be normally distributed
13277,13277,What is not hierarchical clustering
13278,13278,How do you do a kappa statistic in SPSS
13279,13279,How do you calculate Intercoder reliability in SPSS
13280,13280,How do you write a decision tree example
13281,13281,What is embedding machine learning
13282,13282,What is the difference between a frequency table and a contingency table
13283,13283,What is the truth value of P ∨ Q
13284,13284,What does Q mean in logic
13285,13285,What is the inverse of P → Q
13286,13286,Where do we use expert systems
13287,13287,What is an embedding vector
13288,13288,What is analytics and why it is used
13289,13289,What is residual deviance in GLM
13290,13290,What is the function to get both eigenvalues and eigenvectors of a matrix select one
13291,13291,What is the function of eigenvalues and eigenvectors
13292,13292,Can an eigenvalue have two eigenvectors
13293,13293,What are the causes of sampling error
13294,13294,What determines sampling error
13295,13295,What are the problems with sampling
13296,13296,What is sampling error based on
13297,13297,In which learning Markov process concept is used
13298,13298,What is discount factor in MDP
13299,13299,Why is deep learning called deep learning
13300,13300,What is decision function in SVM
13301,13301,How are t test and F test related
13302,13302,What is difference between t test and Anova
13303,13303,What are parameters of a distribution
13304,13304,What is lognormal distribution used for
13305,13305,What is a Cauchy random variable
13306,13306,How the inferential statistics helps to make decisions out of it
13307,13307,How does statistics help in decision making
13308,13308,What is the most useful distribution in inferential statistics
13309,13309,How do you calculate similarities
13310,13310,How do you calculate similarity score
13311,13311,Does standard error increase with confidence interval
13312,13312,How does Standard Deviation affect confidence interval
13313,13313,What is the relationship between confidence interval and margin of error
13314,13314,How do you create an association rule
13315,13315,What does Central Limit Theorem tell us about the sampling distribution of the sample mean
13316,13316,How do you use machine learning for sentiment analysis
13317,13317,How do you evaluate attention
13318,13318,What is attention and concentration
13319,13319,What are attention skills
13320,13320,What means glove
13321,13321,What are the uses of gloves
13322,13322,What is interval data
13323,13323,What is interval data examples
13324,13324,What is interval ratio in statistics
13325,13325,Which is controlled by a positive feedback loop
13326,13326,Is positive feedback controlled by the hypothalamus
13327,13327,What is positive feedback regulation give an example
13328,13328,What is the null hypothesis of F test
13329,13329,What is the null hypothesis of Levene's equality of variances hypothesis test
13330,13330,What is the null hypothesis for an analysis of variance
13331,13331,How do you choose membership function in fuzzy logic
13332,13332,What is the meaning of T value in regression analysis
13333,13333,What does a correlation matrix tell you
13334,13334,How do you interpret a correlation chart
13335,13335,What does a correlation of 0.85 mean
13336,13336,What does a correlation of 0.48 mean
13337,13337,What is a hidden unit in neural network
13338,13338,How many hidden units are there
13339,13339,What does hidden layer do
13340,13340,What is spark ML
13341,13341,What is MLlib
13342,13342,What are the different components of spark
13343,13343,Is Bayesian a maximum likelihood estimation
13344,13344,What's the difference between MLE and MAP inference
13345,13345,What is Bayesian parameter estimation
13346,13346,What is the difference between t test and Z test
13347,13347,What is the purpose of the t statistic
13348,13348,How do you Analyse a discrete choice experiment
13349,13349,What is discrete choice analysis
13350,13350,What is the formula for calculating sample size
13351,13351,What are the methods of determining sample size
13352,13352,How do you calculate deep learning mAP
13353,13353,What type of error would be considered a false positive
13354,13354,What is the basis of the Fourier transform
13355,13355,Why do we use Fourier transformation
13356,13356,Do you need to standardize data for random forest
13357,13357,What do you understand by unsupervised learning
13358,13358,Why is it important to data classification
13359,13359,What type of data is count data
13360,13360,What is count data in regression
13361,13361,What does count data mean
13362,13362,Is count data normally distributed
13363,13363,What do you understand by Fourier series
13364,13364,How do you use Fourier series
13365,13365,What are the 2 types of Fourier series
13366,13366,What does R Squared mean in statistics
13367,13367,How do you interpret P value and R Squared
13368,13368,What is r in machine learning
13369,13369,Can I use R for machine learning
13370,13370,How do you calculate misclassification in R
13371,13371,How is keras different from TensorFlow
13372,13372,Is keras a TensorFlow
13373,13373,Why we use supervised machine learning
13374,13374,What is kernel in machine learning
13375,13375,How is a weighted score model calculated
13376,13376,How do I calculate a weighted test
13377,13377,What is symbol based machine learning
13378,13378,What is Eigen value
13379,13379,What is sparsity in image processing
13380,13380,What is gradient in machine learning
13381,13381,How do you write a covariance matrix
13382,13382,How data is used in machine learning
13383,13383,What is data in machine learning
13384,13384,What is K in binomial distribution
13385,13385,How do you find K in binomial distribution
13386,13386,What is r in negative binomial distribution
13387,13387,How do you find the inverse of a transformation
13388,13388,What is inverse transformation explain with an example
13389,13389,How do you translate inverse functions
13390,13390,What is the inverse of a transformation matrix
13391,13391,How do I load Iris dataset from Sklearn
13392,13392,How does Matlab solve optimization problems
13393,13393,What is Matlab and how it works
13394,13394,What are codes categories and themes in qualitative research
13395,13395,What are codes in data analysis
13396,13396,What does NIST stand for
13397,13397,What is a NIST security assessment
13398,13398,How do you do linear regression on Excel
13399,13399,What are the methods for solving linear regression
13400,13400,Is linear regression A graphic method
13401,13401,How do you find the linear equation in Excel
13402,13402,What is AI coded in
13403,13403,How do you create an artificial intelligence
13404,13404,Is coding required for artificial intelligence
13405,13405,What real world applications are there for logarithms
13406,13406,What is an example of a logarithmic function
13407,13407,What are some applications of exponential functions
13408,13408,What is actuator in AI
13409,13409,What is a linear kernel
13410,13410,How do you select important variables in Python
13411,13411,What is feature selection in Python
13412,13412,What is linear and non linear regression
13413,13413,Can we model a non linear relationship with a linear regression
13414,13414,How do you find a nonlinear regression equation
13415,13415,What situations are best modeled by a logistic equation
13416,13416,Why is RELU better and more often used than sigmoid in neural networks
13417,13417,Which method is the method of interpolation and extrapolation
13418,13418,Which method can be used in any question of interpolation
13419,13419,What is interpolation numerical method
13420,13420,What does relative frequency tell you
13421,13421,What is a shift in data
13422,13422,What are the two types of construct validity
13423,13423,What is an example of a collaborative filtering application
13424,13424,Which of following test statistics is used in Wilcoxon rank sum test
13425,13425,What is the standard deviation of normal distribution
13426,13426,What is the variance of a uniform distribution
13427,13427,Why would a uniform distribution have a larger standard deviation than a normal distribution
13428,13428,Which type of dataset is used for logistic regression
13429,13429,What are the three types of data that are used in regression
13430,13430,What are marginals
13431,13431,How do you find the margin of error given the confidence interval
13432,13432,How is the margin of error related to the confidence interval
13433,13433,How do you do sentiment analysis on Twitter data
13434,13434,How do you get data from a sentiment analysis
13435,13435,How is sentiment analysis done
13436,13436,What are the key differences between univariate and multivariate analysis
13437,13437,What is dropout in deep learning
13438,13438,What is at test used for
13439,13439,What is the difference between AZ test and at test
13440,13440,How does a calibration curve work
13441,13441,What does calibration mean
13442,13442,How do you make a calibration curve
13443,13443,What is the loss function for random forest
13444,13444,Does random forest fall under unsupervised learning
13445,13445,Does batch normalization have trainable parameters
13446,13446,What is the use of batch normalization
13447,13447,How many parameters does a batch normalization layer
13448,13448,What is gamma and beta in batch normalization
13449,13449,How do you find the sensitivity of a confusion matrix
13450,13450,What is test sensitivity
13451,13451,How does a machine learning model learn
13452,13452,What does a machine learning model do
13453,13453,What is mAP for object detection
13454,13454,How do I get started with algorithms
13455,13455,What is needed to learn algorithms
13456,13456,Why cosine distance is always in the range between 0 and 1
13457,13457,What is the definition of cosine
13458,13458,What is quantile function in statistics
13459,13459,What is the distribution of a random variable
13460,13460,What is the mean of the random variable X
13461,13461,What is the distribution of X
13462,13462,Can RMS be equal to the average
13463,13463,What is PAC model
13464,13464,What is a knowledge based system explain
13465,13465,Which system can be seen as knowledge based system
13466,13466,How do you develop a knowledge based system
13467,13467,Is exponential distribution discrete
13468,13468,What is the P value method
13469,13469,What are the different types of statistical test
13470,13470,What does the Z value mean in Wilcoxon test
13471,13471,How do you find the critical value for Wilcoxon rank sum test
13472,13472,What is the ending of Bandish bandits
13473,13473,Who is the voice of Radhe in Bandish bandits
13474,13474,What do the coefficients in a multiple regression mean
13475,13475,Why do regression coefficients have wrong signs
13476,13476,How does the interpretation of the regression coefficients differ in multiple regression and simple linear regression
13477,13477,Why adding more variables to a regression model
13478,13478,Is omitted variable bias Endogeneity
13479,13479,What is CNN output layer
13480,13480,What does the one sample chi square test determine
13481,13481,What does an odds ratio of 0.80 mean
13482,13482,What software is used for artificial intelligence
13483,13483,What factors influence the size of the receptive field
13484,13484,What is effective receptive field
13485,13485,What is the relationship between the accuracy and uncertainty of a measurement quizlet
13486,13486,What is accuracy in measurement
13487,13487,What does uncertainty in measurement mean
13488,13488,What is the similarity between accuracy and precision
13489,13489,What does it mean if a regression is not significant
13490,13490,What does the intercept of a regression tell
13491,13491,What does a statistically significant intercept mean
13492,13492,How is classification error rate calculated
13493,13493,What is classification problem in machine learning
13494,13494,Do Neural networks use gradient descent
13495,13495,What is meant by serial correlation
13496,13496,What is a variable in a qualitative study
13497,13497,Do qualitative studies have variables
13498,13498,What is considered a qualitative study
13499,13499,What is parameter learning
13500,13500,What is data level parallelism give example
13501,13501,How does data parallelism algorithm work
13502,13502,Does the least squares regression line pass through the mean
13503,13503,When regression line passes through the origin then intercept is
13504,13504,What is meant by system simulation
13505,13505,How do you know if two events are dependent
13506,13506,What is Kafka data streaming
13507,13507,What does K defines in K NN algorithm
13508,13508,How are transits and orbits related
13509,13509,What is the relationship between orbital period and distance from the star
13510,13510,What is transit depth
13511,13511,What is data outlier
13512,13512,What is convolutional layer in CNN
13513,13513,What is the use of convolution layer
13514,13514,How do you identify patterns
13515,13515,How do you develop a pattern recognition
13516,13516,What part of the brain sees patterns
13517,13517,What is inter cluster and intra cluster similarity
13518,13518,What is inter cluster
13519,13519,What is sift feature extraction
13520,13520,What is feature descriptor
13521,13521,What are the steps for conducting a regression analysis
13522,13522,How do you analyze a regression model
13523,13523,How do you interpret AUC scores
13524,13524,How do you find the eigenvectors of a matrix
13525,13525,What are eigenvalues and eigenvectors of a matrix
13526,13526,How is R Squared calculated
13527,13527,What is r squared value
13528,13528,What is Bayesian inference used for
13529,13529,What is posterior and prior
13530,13530,What is expected deviation rate
13531,13531,What is the relationship between sample size and sampling error
13532,13532,What is the relationship between sampling error and sample size quizlet
13533,13533,What is the relationship between margin of error confidence interval and sample size
13534,13534,What is the difference between discrete and continuous distributions
13535,13535,How do you create a training set
13536,13536,How do you sample a distribution
13537,13537,How do you find the probability of a sampling distribution
13538,13538,How do you calculate probability sampling
13539,13539,How do you find the value of TensorFlow variable
13540,13540,How do you predict using TensorFlow model
13541,13541,Why are larger sample sizes more accurate
13542,13542,How does sample size impact results of a study
13543,13543,How does a small sample size affect reliability
13544,13544,How do you build a neural network model
13545,13545,How do I make CNN TensorFlow
13546,13546,What are data anomalies
13547,13547,Which clustering method is best
13548,13548,What is a normal distribution curve in statistics
13549,13549,What is normality distribution
13550,13550,How do you draw a normal distribution curve
13551,13551,How do you explain integration
13552,13552,How do you determine a large population sample size
13553,13553,What causes response bias
13554,13554,Why are mean and median different
13555,13555,What is the difference mean and median
13556,13556,Do decision trees have high bias
13557,13557,Are decision trees sensitive to outliers
13558,13558,Are decision trees interpretable
13559,13559,Why is stratified sampling better
13560,13560,What are the disadvantages of simple random sampling
13561,13561,Why is feature normalization important
13562,13562,What is normalization and why do we use it
13563,13563,What are AI problems
13564,13564,What are the fears of AI
13565,13565,Why AI is a threat
13566,13566,What is conjoint analysis
13567,13567,What is choice based conjoint analysis
13568,13568,Why is the F distribution used for the analysis of variance Anova )
13569,13569,Is gradient descent technique for solving optimization problem
13570,13570,Does more data make for a better model
13571,13571,How do you train a dataset
13572,13572,How do you find the optimal threshold
13573,13573,Is probability threshold in logistic regression a Hyperparameter
13574,13574,How do you find the expected value of a discrete probability distribution
13575,13575,How do you find the expected value of a distribution
13576,13576,How do you calculate expected discrete
13577,13577,What does it mean if the expected value is 0
13578,13578,What is self awareness in artificial intelligence
13579,13579,What is a valid effect in statistics
13580,13580,How do you validate a statistical question
13581,13581,How statistics can be misleading
13582,13582,How can numbers and statistics be misleading
13583,13583,Why can the measure of the mean of the data be misleading
13584,13584,How can data be misinterpreted
13585,13585,What is logit function in logistic regression
13586,13586,What is the range of the logit function
13587,13587,What's the difference between NLP and NLU
13588,13588,How do you find the sampling distribution in statistics
13589,13589,Is Association rules mining used in recommender systems approach
13590,13590,What is meant by an association rule
13591,13591,Which algorithm is best for recommender system
13592,13592,Is a neural network linear
13593,13593,What is linear layer in neural network
13594,13594,How does NLU work in AI
13595,13595,What is anomaly detection algorithms
13596,13596,Which of the following fields can Anomaly Detection be applied
13597,13597,How is clustering used in anomaly detection
13598,13598,What do you say when comparing box plots
13599,13599,Which of the following is a difference between the T distribution and the standard normal Z distribution
13600,13600,What is hashing algorithm and explain briefly how it works
13601,13601,What are the types of hashing algorithm
13602,13602,What is the best hashing algorithm
13603,13603,What is the slope of the regression line
13604,13604,Is the R value the slope
13605,13605,What is R in a regression line
13606,13606,Is the correlation coefficient The slope of the regression line
13607,13607,What is the value of partial autocorrelation function of lag order 1
13608,13608,What do you mean by temporal classification
13609,13609,What is quantitative classification
13610,13610,What is CTC in machine learning
13611,13611,How does transfer learning works
13612,13612,What is chunking in Python
13613,13613,What does NLTK Pos_tag do
13614,13614,What is the objective of hashing
13615,13615,What is meant by the law of large numbers
13616,13616,What is the law of large numbers chegg
13617,13617,Why do we use geometric distribution
13618,13618,How can I remove noisy data
13619,13619,What causes noise in data communication
13620,13620,What is the difference between noise and outliers
13621,13621,How does noisy data influence accuracy
13622,13622,What is sampling frequency in ADC
13623,13623,How do you calculate sample sampling frequency
13624,13624,How does ADC sampling work
13625,13625,What are the matching type that birst employs while searching data in cache
13626,13626,How does caching work in searching for information
13627,13627,What are the limitations of multiple regression analysis
13628,13628,How do you differentiate a logistic function
13629,13629,What determines logistic growth
13630,13630,What is the limiting value of a logistic function
13631,13631,How do you solve logistic growth function
13632,13632,What are deep learning frameworks
13633,13633,Which deep learning framework should I learn
13634,13634,Is PyTorch a deep learning framework
13635,13635,What is deep learning useful for
13636,13636,Should I learn deep learning
13637,13637,What is multi class SVM
13638,13638,What is convolution and correlation
13639,13639,What is a correlation filter
13640,13640,What is the difference between correlation and cross correlation
13641,13641,What is a good Altman Z score
13642,13642,Is Altman Z score useful
13643,13643,What does a negative Altman Z score mean
13644,13644,How do you find normal probability
13645,13645,What is classification and prediction in data mining
13646,13646,What is the meaning of mean and standard deviation
13647,13647,How do you find marginal density
13648,13648,What is the marginal probability density function
13649,13649,How do you find the marginal probability function
13650,13650,What does IID stand for police
13651,13651,How do implicit bias tests work
13652,13652,How accurate is the implicit bias test
13653,13653,What test checks for implicit bias
13654,13654,How do you measure implicit attitude
13655,13655,Which is better for screening sensitivity or specificity
13656,13656,What is sensitivity
13657,13657,Which of the following are Treisman's two stages of feature integration
13658,13658,What is the difference between R Squared and adjusted R squared
13659,13659,What is a good value for adjusted R squared
13660,13660,What is activation function Ann
13661,13661,What is hypothesis in machine learning
13662,13662,What is the difference between a variable and a parameter
13663,13663,What is the difference between a field and a local variable
13664,13664,What is nonresponse bias in statistics
13665,13665,What is an example of undercoverage bias
13666,13666,What happens if the learning rate is too high
13667,13667,How does batch size affect Overfitting
13668,13668,How do you interpret logistic regression coefficients in SPSS
13669,13669,What does log mean in regression
13670,13670,Why do we take natural log of data
13671,13671,When should you optimize code
13672,13672,Is categorical data numeric or nonnumeric
13673,13673,What is OLS mean
13674,13674,Which algorithm is used in layered feed forward neural network
13675,13675,Is it possible to design a logistic regression algorithm using a neural network algorithm
13676,13676,What is n gram language model
13677,13677,Is SRE and DevOps same
13678,13678,What does SRE stand for in DevOps
13679,13679,Why do we need tokenization in NLP
13680,13680,What does a convolution do
13681,13681,How do you know if a variable is exogenous
13682,13682,What is the difference between a parameter and a variable
13683,13683,Is exogenous variable the same as independent variable
13684,13684,How does sift achieve scale invariance
13685,13685,How do you solve stratified random sampling
13686,13686,How many stratas are in stratified sampling
13687,13687,Is affine function linear
13688,13688,Is affine transformation linear
13689,13689,How is Ancova different from Anova
13690,13690,What assumption does Ancova have that Anova does not
13691,13691,What is univariate and bivariate analysis
13692,13692,What is the univariate concept
13693,13693,What is class limit and class boundary
13694,13694,How do you find the class limit of data
13695,13695,What is meant by convolution
13696,13696,What is the convolution theorem in image processing
13697,13697,How do you find the intercept of b0
13698,13698,How do you interpret b0 in regression
13699,13699,What does Beta 0 and beta 1 represent in linear regression
13700,13700,Is Markov process stationary
13701,13701,Is unit step function causal
13702,13702,Is the unit step function continuous
13703,13703,Is unit step function linear
13704,13704,What is feature map in CNN
13705,13705,How do you do a two tailed test
13706,13706,When would you use a two tailed test
13707,13707,What is Matlab coded in
13708,13708,What are weights and biases in neural network
13709,13709,How do you add bias to a neural network
13710,13710,What is map in machine learning
13711,13711,What is Bayes theorem and maximum posterior hypothesis
13712,13712,What does standard error depend on
13713,13713,What affects the standard error of the regression slope
13714,13714,How do you interpret the standard error of the mean
13715,13715,What are the advantages of exponential smoothing
13716,13716,When using exponential smoothing a smoothing constant must be used the value for
13717,13717,What are the distinguishing features of simple random sampling
13718,13718,What is the purpose for using a model in regression analysis
13719,13719,How is regression analysis used in real life
13720,13720,What is a false positive in it
13721,13721,What is a false positive called
13722,13722,Is the least squares regression line the same as the regression line
13723,13723,What is decision tree in machine learning with example
13724,13724,What does K mean in data
13725,13725,How do you find the mean from a frequency table
13726,13726,How do you find the range of a frequency table with intervals
13727,13727,How do you know if a 3d vector field is conservative
13728,13728,How do you determine if a vector field is a gradient field
13729,13729,What is conservative field give example
13730,13730,What is conservative force field
13731,13731,How do you find greater than cumulative frequency
13732,13732,What is a less than cumulative frequency curve
13733,13733,What is the z score for the third quartile of a standard normal distribution
13734,13734,What percentage of a distribution is covered by the interquartile range
13735,13735,What is algorithmic model
13736,13736,What is meant by model in machine learning
13737,13737,Why do we use standardized regression coefficients
13738,13738,What does the standardized coefficient tell you
13739,13739,Should I use standardized or unstandardized coefficients
13740,13740,Is standardization required for linear regression
13741,13741,Is there a difference between AI and robots
13742,13742,Does robots use artificial intelligence
13743,13743,How do AI robots work
13744,13744,Is P value of 0.07 Significant
13745,13745,What does P value of 0.8 mean
13746,13746,How do you reduce the sum of squared errors
13747,13747,Is binary search a divide and conquer algorithm
13748,13748,How do you identify greedy algorithm
13749,13749,What is the difference between backpropagation algorithm and backpropagation Throughtime Bptt algorithm
13750,13750,What is CAC ratio
13751,13751,What is the difference between partitioning and bucketing
13752,13752,Who created the signal detection theory
13753,13753,What is bootstrap sampling in machine learning
13754,13754,What is bootstrapping sampling
13755,13755,What is the experimental bias
13756,13756,What is an example of bias in a study
13757,13757,How does boosting work machine learning
13758,13758,What kind of boosting is the following
13759,13759,How do you determine if a vector is a basis
13760,13760,Can a single vector be a basis
13761,13761,How do you write the results of a logistic regression
13762,13762,How do you describe regression results
13763,13763,How do you describe logistic regression
13764,13764,How do you write a regression equation
13765,13765,What is the relationship between Type II error and statistical power
13766,13766,Is correlation and correlation coefficient the same
13767,13767,How do you describe the correlation of a scatter plot
13768,13768,Is T distribution the same as normal
13769,13769,Do you need normal distribution for t test
13770,13770,What does layer normalization do
13771,13771,Why do you need to normalize the data
13772,13772,Why do we need to normalize images
13773,13773,How do you perform a residual analysis
13774,13774,How do you calculate standard normal distribution
13775,13775,What is meant by a standard normal distribution
13776,13776,How do you find the standard normal curve
13777,13777,What are some limitations of linear regression
13778,13778,What is meant by Simpson's paradox
13779,13779,What is data paradox
13780,13780,Which is a common application of cluster analysis
13781,13781,What will happen if we do not use activation function in artificial neural networks
13782,13782,How do you explain likelihood ratios
13783,13783,What does a likelihood ratio tell you
13784,13784,What is LR+ and LR
13785,13785,What does geometric distribution tell you
13786,13786,How do you find the geometric distribution
13787,13787,Why is it called geometric distribution
13788,13788,What is statistical heterogeneity in meta analysis
13789,13789,What does the least squares method indicate
13790,13790,Why use convolutional neural networks
13791,13791,What are examples of exponentially distributed random variables in real life
13792,13792,Why is stratified sampling better than cluster
13793,13793,What is the class width formula
13794,13794,What is the width of a class interval
13795,13795,What is RNN in neural network
13796,13796,What happens in a positive and negative skewed distribution
13797,13797,Do outliers affect skewness
13798,13798,What does it mean when a distribution is negatively skewed
13799,13799,What does statistical learning involve
13800,13800,What is the formula for independent events
13801,13801,How do you know if data is correlated
13802,13802,What is the purpose of the permutation test
13803,13803,Can factor analysis be used on categorical data
13804,13804,What does scaling data mean
13805,13805,How do you know if something is a discrete probability distribution
13806,13806,What is stream data processing
13807,13807,What is the difference between batch and stream processing
13808,13808,Why AlphaGo is such a big deal
13809,13809,How does randomization reduce confounding
13810,13810,What does random assignment control for
13811,13811,How do you control for confounding variables
13812,13812,How does random assignment determine cause and effect
13813,13813,How do I type the X Bar symbol in Word
13814,13814,How do you insert a population symbol in Word
13815,13815,How do you put an X in a Word document
13816,13816,What is interpolation and extrapolation with examples
13817,13817,Where is interpolation used
13818,13818,What are the types of interpolation
13819,13819,How do you do interpolation
13820,13820,Is sample variance consistent
13821,13821,How many layers should a neural network have
13822,13822,What are order statistics used for
13823,13823,What is order statistics in algorithms
13824,13824,What is ingroup and outgroup
13825,13825,What is the purpose of sample variance
13826,13826,What is the difference between multiple regression and binary logistic regression
13827,13827,What is standard normal cumulative distribution function
13828,13828,What is CDF of normal distribution
13829,13829,What is marginal probability mass function
13830,13830,On what type of data can a non parametric test be used
13831,13831,How do you know if a matrix is hermitian
13832,13832,What is greedy algorithm and its types
13833,13833,How does standard error relate to sampling error
13834,13834,How do you find the standard error of a sample size
13835,13835,Is ReLU a non linear activation function
13836,13836,Can activation function be linear
13837,13837,How does activation function introduce non linearity
13838,13838,How do you select data for a linear regression
13839,13839,What types of data do we model with logistic regression
13840,13840,Is logit model the same as logistic regression
13841,13841,Is logistic regression a binomial
13842,13842,How can I learn neural networks
13843,13843,Is a tensor a vector
13844,13844,How do you use a binomial distribution table
13845,13845,How do you write an analysis of an image
13846,13846,What is the importance of photo analysis
13847,13847,What are the features of Poisson distribution
13848,13848,Why is Poisson distribution suitable
13849,13849,What are the challenges of NLP
13850,13850,Why is NLP interesting
13851,13851,What Does It Mean If A and B are mutually exclusive
13852,13852,What are the various ways to measure the distance between two clusters in agglomerative hierarchical clustering
13853,13853,What are the different types of hypothesis
13854,13854,Is machine learning necessary for deep learning
13855,13855,Which of the following describes a difference between neural networks and genetic algorithms
13856,13856,What is the difference between neural network and social network
13857,13857,What is AdaBoost algorithm for face detection
13858,13858,What does YUV stand for
13859,13859,Is YUV a word
13860,13860,What could be the possible reason for producing two different Dendrograms using agglomerative clustering algorithm for the same dataset
13861,13861,Why is agglomerative clustering used
13862,13862,What does P value mean in probability
13863,13863,How do you find the normal distribution of MGF
13864,13864,How do you derive a normal distribution function
13865,13865,How do you interpret ordinal logistic regression in SPSS
13866,13866,How do I interpret odds ratios in logistic regression
13867,13867,What is the relationship between confidence level and significance level
13868,13868,What is the means of cluster
13869,13869,What is the sentence of cluster
13870,13870,Why is normalization necessary in machine learning
13871,13871,How do I merge two neural networks
13872,13872,What increases the complexity of a neural network model
13873,13873,What is the hidden layer in neural network
13874,13874,Which part of a neural network is responsible for learning
13875,13875,How do you increase the accuracy of CNN
13876,13876,What causes OLS estimators to be biased
13877,13877,Are the OLS estimators likely to be biased and inconsistent
13878,13878,What are two potential sources of bias in linear regression
13879,13879,What is the NLP technique
13880,13880,What is the purpose of a model in AI and machine learning
13881,13881,Does batch normalization prevent vanishing gradient
13882,13882,Which of the following metrics can be used for evaluating regression model
13883,13883,Which models can you use to solve a regression problem
13884,13884,What is forward chaining and backward chaining in AI
13885,13885,What is better than logistic regression
13886,13886,What is the biggest weakness of decision trees compared to logistic regression classifiers
13887,13887,Is random forest better than logistic regression
13888,13888,What is statistics and its importance
13889,13889,What is P AIB
13890,13890,What does it mean if a correlation coefficient is 0
13891,13891,What does an R value of zero mean
13892,13892,What does the correlation coefficient r tell you
13893,13893,What does a coefficient of correlation of 0.80 indicate
13894,13894,What is the difference between sample space and event space
13895,13895,What is continuous machine learning
13896,13896,What is cross loss
13897,13897,What do you mean by random sample
13898,13898,What are the 4 types of random sampling
13899,13899,How do you balance bias and variance
13900,13900,What use does multivariate analysis of variance have if any
13901,13901,How do you determine if a problem can be solved using backtracking
13902,13902,Is backtracking important for interview
13903,13903,How do you calculate the cutoff frequency of a high pass filter
13904,13904,How do you calculate the cutoff frequency of a low pass filter
13905,13905,How do you calculate cutoff frequency
13906,13906,What is the cutoff frequency of a Normalised filter
13907,13907,How do you calculate entropy and information gain
13908,13908,What is binomial and Poisson distribution with example
13909,13909,How is Poisson calculated
13910,13910,How do you find the probability of a moment generating function
13911,13911,What is a good PR curve
13912,13912,Why do we use log in regression
13913,13913,What is the purpose of log transformation
13914,13914,Why do we use log in econometrics
13915,13915,What does it mean to describe something as quantized
13916,13916,Why energy is quantized
13917,13917,Is normality an assumption of linear regression
13918,13918,What do you mean by linear
13919,13919,What does the term linear mean in math
13920,13920,How do you use linear in a sentence
13921,13921,What is the opposite of linear
13922,13922,What is the goal of machine learning
13923,13923,Which of the following algorithm can be used for reducing the dimensionality of data
13924,13924,What are the functions of output unit
13925,13925,What is meant by output unit
13926,13926,What is the function of input and output unit
13927,13927,How do you find the hyperplane
13928,13928,What can Sentiment analysis be used for
13929,13929,How do you find the class width and boundaries
13930,13930,What is class limit in statistics
13931,13931,What kernel function is taken in default for SVM
13932,13932,Why do we need dimensionality reduction
13933,13933,How do you find the probability of a generating function
13934,13934,How do you assess the performance of a model
13935,13935,What is model validation in machine learning
13936,13936,What is Arima Modelling
13937,13937,How do you use ARMA models
13938,13938,How do you use linear regression to predict values
13939,13939,What is predicted value in regression
13940,13940,How is a simple linear regression model used to predict the response variable using the predictor variable
13941,13941,What does Cohen's d effect size mean
13942,13942,What does D value mean in statistics
13943,13943,What does an effect size of 0.8 mean
13944,13944,What is LDA ML
13945,13945,What is the meaning of the expected value of a variable
13946,13946,How do moments work
13947,13947,How many types of informed search methods are in AI
13948,13948,How do you calculate random sampling
13949,13949,What is the formula for sample
13950,13950,What is the formula of stratified random sampling
13951,13951,What is loopy belief propagation
13952,13952,How does machine learning affect AI
13953,13953,What type of thinking could be described as taking different directions in search of a
13954,13954,What do we call the hypothesis that language influences what we think group of answer choices
13955,13955,Why is deep learning useful
13956,13956,What is regression tree used for
13957,13957,Why iterator is used instead of for loop
13958,13958,Why iterator is used in Python
13959,13959,What is a batch normalization layer
13960,13960,What is layer normalization
13961,13961,How do you account for omitted variable bias
13962,13962,What causes eye convergence
13963,13963,How do you fix eye convergence
13964,13964,What is a binomial experiment and what are its properties
13965,13965,What makes the binomial distribution unique What are its characteristics
13966,13966,How do we use dimensional analysis
13967,13967,What is meant by dimensional analysis
13968,13968,What is the difference between a control and a controlled variable
13969,13969,What is a control and a variable
13970,13970,Is Multicollinearity a problem in classification
13971,13971,What are the different method of classification
13972,13972,Which method of classification do you find the best Why
13973,13973,Which Optimizer is best for binary classification
13974,13974,What is a recommendation systems in AI and machine learning
13975,13975,What is recommendation systems clearly explain two applications for recommendation systems
13976,13976,Is the standard deviation of a sampling distribution
13977,13977,When we estimate the standard deviation of a sampling distribution
13978,13978,What is estimated standard deviation
13979,13979,What are the mean and standard deviation of the sampling distribution
13980,13980,How do you avoid selection bias in RCT
13981,13981,How do you minimize selection bias
13982,13982,How is bias Minimised in clinical trials
13983,13983,Which matrix multiplication is defined
13984,13984,When the product of two matrices A and B is defined
13985,13985,What operations are defined for these matrices
13986,13986,What is a not defined matrix
13987,13987,How statistical techniques are helpful in data analysis
13988,13988,How do you create a matrix item in NetSuite
13989,13989,What is non inventory item
13990,13990,What is Z value
13991,13991,What is the standard deviation of the sample means
13992,13992,What is the standard deviation of the sample means called What is the formula
13993,13993,What is the standard deviation of the sampling distribution called quizlet
13994,13994,What is the mean and standard deviation of the sampling distribution
13995,13995,Which five strategies can be used to reduce the impact of implicit bias
13996,13996,Why is negative sampling used in Word2Vec
13997,13997,What are negative samples
13998,13998,What is negative sampling when training the skip gram model
13999,13999,What is the difference between GLoVe and Word2Vec
14000,14000,What factors affect P value
14001,14001,What happens when you increase effect size
14002,14002,How do you find an estimate in statistics
14003,14003,What is the formula of estimation
14004,14004,Is it always optimal to add more features to a regression model
14005,14005,What are the steps of binary search
14006,14006,What is the order of binary search algorithm
14007,14007,What is binary search Explain with algorithm
14008,14008,What is the difference between T value and Z value
14009,14009,What is the purpose of the convolution unit at the start of a convolutional neural network
14010,14010,What is the purpose of neural networks
14011,14011,What does it mean if a scatter plot has a positive a negative or no association
14012,14012,How can you tell if a scatter plot is positive or negative
14013,14013,Can a scatter plot be negative
14014,14014,Which scatter plot shows a positive linear association
14015,14015,What is artificial neural networks explain briefly
14016,14016,What is the output of Lstm layer
14017,14017,How do you make a decision tree diagram
14018,14018,Why do we use standard deviation instead of variance
14019,14019,Why is the standard deviation used more frequently than the variance choose the correct answer below
14020,14020,Why is it better to use standard deviation than range
14021,14021,What happens to the mean when the sample size increases
14022,14022,What does a bigger sample size mean
14023,14023,What does POS tag JJ stand for
14024,14024,What is NNP in POS tagging
14025,14025,What is NNP in NLTK
14026,14026,What is the limitation behind rule generation in Apriori algorithm
14027,14027,What is the effect of increased disease prevalence of specificity
14028,14028,What does increase sensitivity mean
14029,14029,How is slo defined
14030,14030,What is an SLO vs SLA
14031,14031,How do you make an SLO
14032,14032,What is the meaning of latent
14033,14033,Is boosting an example of ensemble learning
14034,14034,Which are ensemble techniques
14035,14035,How do you use proportionate stratified random sampling
14036,14036,What does the slope of a least squares regression line represent
14037,14037,How do you interpret the slope of a regression line
14038,14038,Is the slope of the least squares regression line
14039,14039,How do you find the point estimate of standard deviation
14040,14040,What is the point of standard deviation
14041,14041,What are the classification of image
14042,14042,What do you mean by multidimensional analysis
14043,14043,What is multidimensional data give two examples
14044,14044,What is multidimensional data model explain
14045,14045,Is correlation same as convolution
14046,14046,What is the relation between cross correlation and auto correlation
14047,14047,How do you find the correlation coefficient of two random variables
14048,14048,What does a skewness of 0 mean
14049,14049,Why does the margin of error increase
14050,14050,What happens to margin of error as confidence increases
14051,14051,Does margin of error increase with standard deviation
14052,14052,How does Lstm deal with vanishing gradient
14053,14053,What is a covariance stationary process
14054,14054,Is random walk covariance stationary
14055,14055,What is Data and Big Data
14056,14056,What is the difference between big data and regular data
14057,14057,What is the difference between data and data
14058,14058,What is the difference between discrete series and continuous series
14059,14059,What is the difference between quantitative discrete and continuous
14060,14060,What is central tendency of data set explain with example
14061,14061,How do you find the measure of central tendency
14062,14062,Which of the following is not a machine learning algorithm
14063,14063,What is the difference between time series and panel data
14064,14064,What is Precision vs Recall
14065,14065,How is 11 plus calculated
14066,14066,How do you do Estimation in Agile
14067,14067,How do you do Effort Estimation in Agile
14068,14068,What are Kalman filters used for
14069,14069,What is convolution theorem in signals and system
14070,14070,What are the properties of convolution
14071,14071,What is the difference between batch and stochastic gradient descent
14072,14072,What is the importance of a normal curve
14073,14073,How do you make a survival curve
14074,14074,What is an acceptable ICC for inter rater reliability
14075,14075,How do you find the MLE of an exponential function
14076,14076,What is the variance of normal distribution
14077,14077,What is space in machine learning
14078,14078,How do you find the trace of a matrix
14079,14079,What is the trace of a 2x2 matrix
14080,14080,What can you say the solution space of a linear system if there are more unknowns than equations and at least one solution exists
14081,14081,What are type selectors
14082,14082,What is the use of selector
14083,14083,Why do we partition data
14084,14084,What is difference between neural networks and deep learning
14085,14085,What is the difference between AI and neural network
14086,14086,How do you find the variance in statistics
14087,14087,What is variance and standard deviation
14088,14088,How do you do weighted regression on Excel
14089,14089,How do you calculate linear regression weight
14090,14090,What is weighted logistic regression
14091,14091,How do you test for independence between two variables
14092,14092,How do you test the association between two continuous variables
14093,14093,Why is systematic sampling not always possible
14094,14094,Why is the sampling in a not simple random sampling
14095,14095,What is normal distribution used for
14096,14096,Who invented a B testing
14097,14097,Is AB testing a hypothesis test
14098,14098,How machine learning algorithms make predictions for data sets
14099,14099,What type of machine learning algorithm makes predictions
14100,14100,What is a time series regression
14101,14101,Why linear regression is not suitable for time series
14102,14102,What is random forest method
14103,14103,What is an intelligent algorithm
14104,14104,WHAT IS A * algorithm in artificial intelligence
14105,14105,How is cut off value calculated
14106,14106,How do you find the threshold value of a ROC curve
14107,14107,What is the difference between classification and clustering in machine learning
14108,14108,How do you find the critical value on a TI 84 Plus
14109,14109,Is the sum of random variables A random variable
14110,14110,Are Poisson random variables independent
14111,14111,How do you sum random variables
14112,14112,What is the difference between TensorFlow keras and keras
14113,14113,What is RL action
14114,14114,What is RL in machine learning
14115,14115,What is RL State
14116,14116,How do you find the conditional distribution of a joint distribution
14117,14117,How do you interpret the slope and intercept of a regression line
14118,14118,Is it reasonable to interpret the Y intercept
14119,14119,How do you state the null hypothesis in words
14120,14120,How do you show the null hypothesis
14121,14121,How smart is AI now
14122,14122,What is the probability of getting at least one 6 when six dice are rolled
14123,14123,What are the chances of rolling a 6 with 6 dice
14124,14124,What does it mean for a population to be normally distributed
14125,14125,How do you know if population is normally distributed
14126,14126,What is normal distribution and its properties
14127,14127,What is an AI strategy
14128,14128,Why is developing an AI strategy
14129,14129,What are eigenvalues and eigenvectors machine learning
14130,14130,What is the meaning of in group and out group
14131,14131,What is meant by in group and out group how is in group connected to primary group how is out group connected to secondary group
14132,14132,What is the difference between probability density function and probability mass function
14133,14133,What is the difference between a theme and a category
14134,14134,How do you code and theme qualitative data
14135,14135,How do you choose your learning rate
14136,14136,How do you use association rule mining
14137,14137,Is data mining part of AI
14138,14138,How do you know if a variable is continuous
14139,14139,What is a continuous predictor variable
14140,14140,What is gradient descent algorithm in machine learning
14141,14141,What is gradient based method
14142,14142,How many standard deviations is outlier
14143,14143,What is affected by outliers in statistics
14144,14144,How do you find the hash of a string
14145,14145,What is hash function explain with an example
14146,14146,Why is intelligence so attractive
14147,14147,What determines attractiveness
14148,14148,How can I be more perceived as intelligent
14149,14149,What is sigmoid in machine learning
14150,14150,What makes a simple random sample
14151,14151,What are two requirements for a sample to be considered a random sample
14152,14152,What is latent data
14153,14153,What is sigmoid cross entropy
14154,14154,Is cross entropy a metric
14155,14155,What does a permutation test do
14156,14156,What is TF keras datasets Mnist
14157,14157,What is Mnist in TensorFlow
14158,14158,How do I import Mnist dataset from keras
14159,14159,How do you find the function of a PDF
14160,14160,How K mean clustering works
14161,14161,What is K means clustering explain with an example
14162,14162,How do you interpret loadings in factor analysis
14163,14163,What are eigenvalues in factor analysis
14164,14164,What is the predictor variable in regression analysis
14165,14165,What is a predictor variable example
14166,14166,What is a predictor in linear regression
14167,14167,What is parameter estimation methods
14168,14168,What is the variance of a function
14169,14169,How do you find the variance step by step
14170,14170,How do you find variance and deviation
14171,14171,How do you calculate prediction intervals in R
14172,14172,How do you find the confidence interval in R
14173,14173,Why do we use transfer learning
14174,14174,Why should transfer learning work in NLP
14175,14175,How do you find the marginal density of X
14176,14176,What is the distribution function of x
14177,14177,How does energy affect entropy
14178,14178,Does entropy increase when energy is transformed
14179,14179,What process decreases entropy
14180,14180,What is the basic difference between FIR and IIR filters
14181,14181,Why finite impulse response is non recursive filter
14182,14182,What do you do when homogeneity of variance is violated
14183,14183,What if variance is not homogeneous
14184,14184,What does homogeneity of variance mean
14185,14185,What does a test for homogeneity of variances tell us
14186,14186,Is ReLu a linear function
14187,14187,What does logistic regression tell you
14188,14188,What does logit stand for
14189,14189,What is the difference between stratified sampling and blocking
14190,14190,What is blocking in experimental design
14191,14191,How is a randomized block design in experiments similar to a stratified sample
14192,14192,What is block sampling
14193,14193,What do you mean by complexity of an algorithm explain with the help of suitable example
14194,14194,When did artificial intelligence become popular
14195,14195,Who started artificial intelligence
14196,14196,What is standard deviation in simple words
14197,14197,What is standard deviation explain with example
14198,14198,Why multiple regression is important
14199,14199,What is meant by multiple regression analysis
14200,14200,Why do you test for normality
14201,14201,How do you find the mean of a Bernoulli distribution
14202,14202,What causes bias in machine learning
14203,14203,How does neural network algorithm work
14204,14204,Is face recognition computer vision
14205,14205,What kind of data does facial recognition use
14206,14206,Can Face Recognition Tech see through mask
14207,14207,Is facial recognition regression or classification
14208,14208,Are experimental studies randomized
14209,14209,Is a randomized controlled trial a quantitative study
14210,14210,Can we change the value of static variable in C
14211,14211,How do you evaluate a time series model
14212,14212,How do you forecast an Arima model
14213,14213,What does a covariance tell you
14214,14214,What is a high covariance
14215,14215,What does correlation and covariance tell you
14216,14216,How do you calculate false positive from sensitivity and specificity
14217,14217,How do you calculate PPV from sensitivity and specificity
14218,14218,How do you read sensitivity and specificity results
14219,14219,How do you calculate combined sensitivity and specificity
14220,14220,What is passive and active learning
14221,14221,How do you simulate a Markov chain
14222,14222,What does an alpha level of .05 mean
14223,14223,Is P value the same as Alpha
14224,14224,What does 1 minus alpha mean
14225,14225,What is non linear processing
14226,14226,What is the true value of a parameter
14227,14227,What does parameters mean in statistics
14228,14228,How do you find parameters
14229,14229,Can neural networks be used in unsupervised learning environments
14230,14230,Can CNN be used for unsupervised learning
14231,14231,What is the difference between a left tailed two tailed and right tailed test
14232,14232,How do you find the mean of a discrete random variable
14233,14233,What do you mean by discrete variable
14234,14234,What is true positive in confusion matrix
14235,14235,How do you read a confusion matrix
14236,14236,Why is chi square skewed right
14237,14237,What is word embedding model
14238,14238,Can Bert be used for topic modeling
14239,14239,What are the types of layers in deep learning
14240,14240,What is threshold value in machine learning
14241,14241,Is CNN deep learning
14242,14242,How is the coefficient correlation r related to the scatterplot
14243,14243,When the correlation coefficient is zero the points on the scatter plot
14244,14244,How do you find the density of a histogram
14245,14245,What is the scale of a histogram
14246,14246,What is a null hypothesis in statistics
14247,14247,What is an alternative hypothesis in statistics
14248,14248,What is null hypothesis in simple words
14249,14249,Why is deep learning so robust to noise
14250,14250,What is downside deviation
14251,14251,How is downside risk calculated
14252,14252,What makes a positive skew
14253,14253,Do we need statistics while learning machine learning
14254,14254,Is data analytics related to machine learning
14255,14255,What does bin and frequency mean in a histogram
14256,14256,How do you read a histogram bin
14257,14257,Why does Stata omit dummy variables
14258,14258,What is sparsity neural network
14259,14259,What does it mean to have a weak correlation
14260,14260,Is 0.08 a weak correlation
14261,14261,How do you find the linear classifier
14262,14262,How do you use image processing
14263,14263,What is image processing in deep learning
14264,14264,What is image processing in AI
14265,14265,Why is the least squares line the best fitting
14266,14266,How do you use least square method
14267,14267,What two mathematical conditions are satisfied when using the method of least squares
14268,14268,How do you interpret z test results
14269,14269,What does the Z in Z test represent what similarity does it have to a simple Z or standard score
14270,14270,What is Z in statistics
14271,14271,What is the z score symbol
14272,14272,Why do we need probability distribution
14273,14273,What is the importance of a probability distribution in statistics
14274,14274,What does the probability distribution tell us
14275,14275,How do we use probability in real life
14276,14276,Why do we need clusters
14277,14277,Where is cluster computing used
14278,14278,Why do you calculate z score
14279,14279,What is Z score equal to
14280,14280,How do you find the Z score between two numbers
14281,14281,How do you solve chain rule
14282,14282,How is sift algorithm implemented
14283,14283,Why do we use GLM
14284,14284,What does GLM do in R
14285,14285,What does it mean for variables to be independent
14286,14286,How do you know if a variable is independent or dependent
14287,14287,Why do we use Gaussian distribution
14288,14288,What does a universal Turing machine do
14289,14289,What does a high log likelihood mean
14290,14290,What is a TensorFlow model
14291,14291,Where are the receptive fields for Vision located
14292,14292,What is topic Modelling in Python
14293,14293,What is uncertainty and why does it matter
14294,14294,How does uncertainty affect data
14295,14295,What does uncertainty mean in statistics
14296,14296,What is Multicollinearity and how you can overcome it
14297,14297,What are the consequences of multicollinearity
14298,14298,What is an OLS regression model
14299,14299,What do you understand by information theory
14300,14300,What is information according to Shannon
14301,14301,Can you use machine learning to predict stock market
14302,14302,Is sample variance a biased estimator
14303,14303,What is Knn and its applications
14304,14304,How is the noisy data handled
14305,14305,What is the purpose of binning data
14306,14306,How does Weka handle noisy data
14307,14307,Why Anova is called analysis of variance instead of analysis of means
14308,14308,Why does Anova use variance
14309,14309,How do you choose between precision and recall
14310,14310,What is F1 precision recall and support
14311,14311,What are the benefits of inductive reasoning
14312,14312,What are the disadvantages of inductive method
14313,14313,Why is inductive reasoning bad
14314,14314,What p value do you reject
14315,14315,Is P value 0.02 Significant
14316,14316,What are the benefits of dimensional analysis
14317,14317,How do you know if a function is divergent
14318,14318,What does it mean for a function to diverge
14319,14319,Which is preferred metric for evaluation IR system
14320,14320,How does word2vec algorithm work
14321,14321,What is word2vec used for
14322,14322,How is noise measured in data
14323,14323,What is the purpose of kernel trick
14324,14324,Can we apply the kernel trick to logistic regression why is it not used in practice then
14325,14325,What is the Chebyshev theorem in statistics
14326,14326,How do you find the independent variable in an equation
14327,14327,How do you identify a variable
14328,14328,What is an independent event in probability
14329,14329,What are independent dependent events
14330,14330,Which algorithm falls under unsupervised
14331,14331,What are the benefits of social networking
14332,14332,What is social media and its importance
14333,14333,What is the role of radial basis function in separating nonlinear patterns
14334,14334,What is a sample size in statistics
14335,14335,What is the default component change detection strategy
14336,14336,How many standard deviations is az score
14337,14337,What does Z score tell you
14338,14338,What is the mean and standard deviation of AZ distribution
14339,14339,What is the standard deviation of the Z distribution
14340,14340,Is business analytics a part of data science
14341,14341,What makes Ancova different to Anova
14342,14342,How does power effect sample size
14343,14343,What happens to power when you increase sample size
14344,14344,What is a power analysis for sample size
14345,14345,How does effect size affect statistical power
14346,14346,What is the partitioning strategy
14347,14347,How can Multicollinearity be detected
14348,14348,How do you test for Multicollinearity in SPSS
14349,14349,Which command is used in R to check the multicollinearity problem
14350,14350,What does PDF mean in probability
14351,14351,What is the difference between local minimum and global minimum
14352,14352,Can global extrema be local extrema
14353,14353,Which of the following are discrete random variables
14354,14354,Which of the following is a discrete variable
14355,14355,Which is better Knn or logistic regression
14356,14356,Which is not a performance testing type
14357,14357,How do you remember the difference between type1 and type 2 errors
14358,14358,What is Mohr method
14359,14359,Which indicator is used in Mohr method
14360,14360,Is it possible for the mean and median to have the same value
14361,14361,What does it mean if the mean and median are almost the same
14362,14362,Is a false positive or false negative pregnancy test more likely
14363,14363,Is it likely to have a false negative pregnancy test
14364,14364,What is bias weight in neural network
14365,14365,What distribution do we use with linear regression
14366,14366,What does the chi square test of independence really test
14367,14367,What are the assumptions for a chi square test of independence
14368,14368,How can you determine if the association on a scatter plot is strong or weak
14369,14369,How do you determine the strength of a linear relationship
14370,14370,What is a weak positive linear association
14371,14371,What is continuous distribution
14372,14372,How do you find the median of a beta distribution
14373,14373,How do I find the mean of a probability distribution
14374,14374,What is the formula for variance in beta distribution
14375,14375,Can you calculate the mean mode median from all data sets
14376,14376,How do I find the mode of a data set
14377,14377,What is the formula of mean and mode
14378,14378,Is age an interval variable
14379,14379,What does covariance matrix tell you
14380,14380,How do you find the covariance of a matrix
14381,14381,What is sample covariance matrix
14382,14382,What can Boxplots be used to detect
14383,14383,Are box plots affected by outliers
14384,14384,Why do we choose Boxplot method than other for outlier detection and removal
14385,14385,What do outliers on a box plot indicate
14386,14386,What is VC dimension used for
14387,14387,When should you use at distribution
14388,14388,What is the difference between z and t test
14389,14389,What do you learn in big data
14390,14390,What are the characteristics of decision tree
14391,14391,Which algorithm is used for decision tree induction
14392,14392,What is decision tree induction
14393,14393,How do you find the finite population correction factor
14394,14394,How does confidence make you more attractive
14395,14395,How can a man be confident and seductive
14396,14396,How do you reduce the mean square error
14397,14397,Can training error be higher than test error
14398,14398,What is a KTH
14399,14399,Is Data Analytics the same as data science
14400,14400,What field of study is data analytics
14401,14401,What is the definition for probability
14402,14402,What is the difference between random variable and random process
14403,14403,How do you define random
14404,14404,Is NLP machine learning or deep learning
14405,14405,What is AI and NLP
14406,14406,What is the difference between convolutional layers and locally connected layers
14407,14407,What are some practical problems with the sigmoidal activation function in neural nets
14408,14408,Why is RELU preferred over sigmoid
14409,14409,What is the difference between part and partial correlation
14410,14410,How are partial and Semipartial correlations similar and different
14411,14411,What is partial correlation in statistics
14412,14412,How do you know if population standard deviation is known unknown
14413,14413,Which distribution do you use when you are testing a population mean and the standard deviation is known assume sample size is large
14414,14414,When the standard deviations are equal but unknown
14415,14415,When the population mean is known but the population standard deviation is not known which statistic is used to compare a sample to the population
14416,14416,Is feature scaling necessary for linear regression
14417,14417,What are the two steps of association rule mining
14418,14418,Where can you use association rule based algorithms
14419,14419,What are the topics in deep learning
14420,14420,What does convolution layer do
14421,14421,What is deconvolution in deep learning
14422,14422,What does deconvolution mean
14423,14423,Is the deconvolution layer the same as a convolutional layer
14424,14424,Which of the following is an advantage of logistic regression over classification trees
14425,14425,Which technique is proper for solving collaborative filtering problem
14426,14426,What does the output unit do
14427,14427,What is the use of input unit and output unit
14428,14428,What is output and example
14429,14429,What statistics are robust to outliers
14430,14430,What does it mean that the F statistic is robust
14431,14431,What does kurtosis represent
14432,14432,What are pooling layers in CNN
14433,14433,What is hazard ratio confidence interval
14434,14434,What does a hazard ratio mean
14435,14435,Which is known as greedy algorithm
14436,14436,How many degrees of freedom are there
14437,14437,What is the difference between label encoding and one hot encoding
14438,14438,What is difference between one hot encoding and a binary bow
14439,14439,What do you mean by local Global and adaptive thresholding
14440,14440,Does scaling affect linear regression
14441,14441,What is probability density function of a random variable
14442,14442,How do you find the probability density function of a discrete random variable
14443,14443,What is the least square estimator
14444,14444,How do you find the least square estimate
14445,14445,What is learning problem in machine learning
14446,14446,What are the advantages to using a K means clustering algorithm
14447,14447,What is AUC used for
14448,14448,What is non stationary Poisson process
14449,14449,What is Poisson process in simulation
14450,14450,What's the difference between local and absolute extrema
14451,14451,What is the difference between a relative minimum and an absolute minimum
14452,14452,What is the difference between global minimum and local minimum
14453,14453,How do you find the regression line by hand
14454,14454,How do you find the regression line on a sheet
14455,14455,What is the formula for finding the slope of the regression line
14456,14456,What does the K in K means stand for
14457,14457,What is SVM explain advantages and disadvantages of support vector machine
14458,14458,What are the limitations of SVM
14459,14459,Which features are most suitable for object boundaries and occlusion detection in image sequence
14460,14460,What are the uses and abuses of statistics
14461,14461,How does batch size affect learning
14462,14462,What is the use of batch size in neural network
14463,14463,What is the role of TNF alpha
14464,14464,What is TNF alpha blood test
14465,14465,Why Markov chain is called random walk model
14466,14466,Are you working hand in glove
14467,14467,What does hand in glove mean
14468,14468,What does it mean to glove someone
14469,14469,What is Bandit feedback
14470,14470,What is a stratified random sample in statistics
14471,14471,What is statistical stratification
14472,14472,What is the difference between a stratified sample and a cluster sample
14473,14473,How do you create a stratified sample
14474,14474,What is receptive field neural network
14475,14475,What is receptive field machine learning
14476,14476,Why Gaussian distribution is widely used in communication
14477,14477,What is the difference between white noise and Gaussian noise
14478,14478,What is moving average time series
14479,14479,What are the two branches of statistical methods
14480,14480,How do you know if MLE is unbiased
14481,14481,What is meant by frequency distribution
14482,14482,What is the role of sample size in Central Limit Theorem
14483,14483,When should you use a relative frequency histogram instead of a frequency histogram
14484,14484,What is a relative histogram
14485,14485,How do you find the relative frequency in a histogram
14486,14486,What is the difference between a frequency distribution and a histogram
14487,14487,What is Deseasonalization of time series data
14488,14488,Who invented F distribution
14489,14489,What is the history behind F distribution
14490,14490,What does PID stand for
14491,14491,How do you write a regression
14492,14492,Why is gradient descent stochastic
14493,14493,Is stochastic gradient descent iterative
14494,14494,What is an AUC curve
14495,14495,How Adaline is different from other networks
14496,14496,What do tensors do
14497,14497,Why are tensors important for deep learning
14498,14498,What are the limitations of dimensional method
14499,14499,What are the limitations of dimensional formula Class 11
14500,14500,What is labeled data and unlabeled data
14501,14501,What is a standard score in assessment
14502,14502,How do you select best features in machine learning
14503,14503,What is unlabelled data in machine learning
14504,14504,What is Artificial Intelligence explain its application with current scenario
14505,14505,What is meant by analysis of variance
14506,14506,Why do we analyze variance
14507,14507,Why do we analyze variance when trying to determine difference between treatment means
14508,14508,Does Anova compare means or variance
14509,14509,What's a good AUC score
14510,14510,How do you do multidimensional scaling
14511,14511,What is input gate in Lstm
14512,14512,What is a parametric regression
14513,14513,What is noise in a dataset
14514,14514,How can I reduce noise signal
14515,14515,Is data augmentation a regularization method
14516,14516,What is dataset augmentation
14517,14517,What is augmentation in CNN
14518,14518,What is naive in naive Bayes
14519,14519,What is naive assumption in naive Bayes classifier
14520,14520,What characterizes a Perceptron in machine learning
14521,14521,Is PyTorch catching TensorFlow
14522,14522,What are the conditions for a 2 sample t test
14523,14523,What is an example of layering remarketing with audience exclusions
14524,14524,What is narrow targeting
14525,14525,How do you do the chain rule step by step
14526,14526,Why lasso can be used for feature selection
14527,14527,What is the difference between reliability and validity in statistics
14528,14528,How do you calculate LR
14529,14529,What is a good positive likelihood ratio
14530,14530,What is Heteroscedasticity in statistics
14531,14531,How do you find Homoscedasticity in statistics
14532,14532,Can random forest be used for regression
14533,14533,What can random forest be used for
14534,14534,Is time series data random
14535,14535,What causes higher entropy
14536,14536,Is higher entropy favored
14537,14537,Why does PPV increase with prevalence
14538,14538,What is the difference between sensitivity and positive predictive value
14539,14539,Can PCA be used for regression
14540,14540,How do you do principal component in regression
14541,14541,How does principal component analysis work
14542,14542,What is loss function
14543,14543,What is density of data
14544,14544,Why do histograms use frequency density
14545,14545,What does F mean in linear algebra
14546,14546,What is an expert system explain with example
14547,14547,Where are expert systems used
14548,14548,How do expert systems work
14549,14549,Where is uniform distribution used
14550,14550,What is standard uniform distribution
14551,14551,What does it mean when an event is independent
14552,14552,How do you find the uncertainty
14553,14553,How do you find the uncertainty of a single measurement
14554,14554,How do you prove two random variables are uncorrelated
14555,14555,Can correlated variables be independent
14556,14556,How does Decision Tree help in decision making
14557,14557,What is the purpose of decision tree analysis
14558,14558,What is the expected value of a sum
14559,14559,What does a pattern in a residual plot mean
14560,14560,What does it mean if a residual plot has no pattern
14561,14561,Is probability or Nonprobability sampling better
14562,14562,What is the difference between probability and Nonprobability
14563,14563,What factors should be considered in choosing between probability and Nonprobability sampling
14564,14564,How do you use binomial distribution in real life
14565,14565,What is fitting of binomial distribution
14566,14566,What is hot encoding in Python
14567,14567,What is coefficient and intercept in linear regression
14568,14568,How do you calculate r2 in linear regression
14569,14569,What types of data can be handled by decision tree
14570,14570,In which situation does binomial distribution tends to Poisson distribution
14571,14571,How do you know when to use Poisson or binomial
14572,14572,What is hidden state
14573,14573,What is another word for learning
14574,14574,What is an adjective for learning
14575,14575,Who invented machine learning
14576,14576,Are test scores ratio or interval
14577,14577,Is a test score a continuous variable
14578,14578,What does a normal QQ plot tell you
14579,14579,What are QQ plots useful for
14580,14580,How do you analyze a QQ plot
14581,14581,Should the target variable be scaled
14582,14582,Should you standardize dependent variable
14583,14583,Is AI a part of machine learning
14584,14584,Why do we use robust standard errors
14585,14585,Why is it important to use clustered standard errors for the regression
14586,14586,What is heteroskedasticity robust standard error
14587,14587,How do you do convolution on Origin
14588,14588,What's the difference between gradient descent and stochastic gradient descent
14589,14589,Who discovered backpropagation of error
14590,14590,When was back propagation invented
14591,14591,Who invented deep neural networks
14592,14592,Why is IIR recursive
14593,14593,What is filter realization
14594,14594,What is target attribute in decision tree
14595,14595,What is variable importance in decision tree
14596,14596,Are decision trees always binary
14597,14597,How do you know if events are mutually exclusive
14598,14598,How do you tell if an event is independent or mutually exclusive
14599,14599,How do you choose Z test or t test
14600,14600,What is the difference between bagging and boosting
14601,14601,What is method of moments estimator
14602,14602,How do you find the method of moments
14603,14603,What are the methods of estimation
14604,14604,Is the method of moments estimator unbiased
14605,14605,How do you interpret Cox regression in SPSS
14606,14606,What is TensorFlow vs keras
14607,14607,What is keras in machine learning
14608,14608,How do you find the null hypothesis
14609,14609,What is the accuracy recall and precision
14610,14610,What is TP and FP
14611,14611,Can accuracy and F1 score be same
14612,14612,What AI is not machine learning
14613,14613,Is time series supervised or unsupervised
14614,14614,Does unsupervised learning works on unlabelled data
14615,14615,What is Q in binomial probability
14616,14616,How do you find P and Q in statistics
14617,14617,How do you set the objective as minimize the value
14618,14618,How do you use optimization on solver
14619,14619,How do control variables work
14620,14620,What does controlling for the effects of other variables mean
14621,14621,What's worse false positive or false negative
14622,14622,What is the difference between true positive and false positive
14623,14623,What part of the brain is responsible for intelligence
14624,14624,How is intelligence defined
14625,14625,What makes the brain smarter
14626,14626,How is time series data stored
14627,14627,What are n grams in NLP
14628,14628,What is label in ML
14629,14629,Which is an ensemble method
14630,14630,How do you calculate receptive field size
14631,14631,Why are there different sizes of receptive fields
14632,14632,What is a Ks value
14633,14633,How do you find a hazard function
14634,14634,Which MBTI test is the most accurate
14635,14635,What are measures of goodness of fit for regressions
14636,14636,What goodness of fit measure is commonly used to evaluate a multiple regression function
14637,14637,What is meant by Bayesian classifiers
14638,14638,How does a Bayesian classifier work
14639,14639,What does a linear model look like
14640,14640,How do you make a linear model
14641,14641,How do you choose optimal number of clusters
14642,14642,What metric can be used to find an optimal number of clusters
14643,14643,How do you count clusters
14644,14644,What is the impact of artificial intelligence on society
14645,14645,What are some common benefits of artificial intelligence technology
14646,14646,What is mean by cluster analysis
14647,14647,What is statistical manipulation
14648,14648,Can statistics be manipulated for those who really understand the subject matter
14649,14649,Why is it so easy to lie with statistics
14650,14650,How do you prove disparate impact
14651,14651,What is batch normalization in CNN
14652,14652,What is data mining with examples PDF
14653,14653,Which methods are examples of data mining
14654,14654,How data structures are used in real world
14655,14655,Where do I start learning TensorFlow
14656,14656,What is an example of a non parametric test
14657,14657,How do you know which parametric test to use
14658,14658,How do you derive the mean of a binomial distribution
14659,14659,What is the mean of a binomial random variable
14660,14660,How do you find the mean and standard deviation of a binomial distribution in Excel
14661,14661,Which measure of central tendency is affected by outliers quizlet
14662,14662,What is most influenced by outliers
14663,14663,Is the mean the measure of central tendency most likely to be affected by an outlier
14664,14664,What is random generator
14665,14665,What does positive feedback mean
14666,14666,Why is LU decomposition useful
14667,14667,What is LU decomposition of matrix
14668,14668,What does a Type 2 error mean
14669,14669,Why do we use GD&T
14670,14670,How many GD&T symbols are there
14671,14671,How do you know if you have an optimization problem
14672,14672,What is the importance of probability theory
14673,14673,What is AR in time series
14674,14674,What can regression analysis be used for
14675,14675,What does Eigen mean
14676,14676,What are eigenvalues used for
14677,14677,What is Eigen function and eigenvalues
14678,14678,What do you mean by eigenvalue spectrum
14679,14679,How do you find the percentage between two z scores
14680,14680,What is the area between z 0 and z 1
14681,14681,How do you find percentile from Z score
14682,14682,How long does it take to master data structures and algorithms
14683,14683,How hard is it to learn data structures and algorithms
14684,14684,What is mean absolute error in linear regression
14685,14685,What does mean absolute percentage error tell you
14686,14686,How do you use K mean to predict
14687,14687,How is K means clustering used
14688,14688,How does Knn work in face recognition
14689,14689,What is KNN classifier in machine learning
14690,14690,What are the advantages of chi square test
14691,14691,Is 0.26 A strong correlation
14692,14692,How do you calculate eigenvectors from eigenvalues
14693,14693,What is Eigen value eigen vector
14694,14694,How does neural network learn explain
14695,14695,How are neural networks created
14696,14696,What is unbalanced data set
14697,14697,Why accuracy is not always correct measure for model evaluation explain with example
14698,14698,What is expert system how it works
14699,14699,How R is used in data analysis
14700,14700,What is false positive in statistics
14701,14701,Why is negatively skewed
14702,14702,What are the characteristics of agents
14703,14703,What is the test statistic for the Wilcoxon signed rank test
14704,14704,What is the disadvantage of neural network
14705,14705,What neural networks Cannot do
14706,14706,What is the principle of a greedy algorithm
14707,14707,Why are greedy algorithms called greedy
14708,14708,What is a decision tree mention its advantages and disadvantages
14709,14709,What is the concept of decision tree
14710,14710,Who invented the law of averages
14711,14711,What do you mean by the learning rate
14712,14712,What is learning rate in linear regression
14713,14713,What is partitioning method in clustering
14714,14714,How do you find the median percentage
14715,14715,How do you calculate the median of a sample
14716,14716,How do you find the median between 2 numbers
14717,14717,How do you randomize a study
14718,14718,How do you deal with class imbalance in classification
14719,14719,What is the issue of using accuracy when evaluating models under class imbalance
14720,14720,Which evaluation measure is best if we need a balance between precision and recall
14721,14721,How do you describe a sampling frame
14722,14722,How do you convert covariance to correlation
14723,14723,What is the relation between covariance and correlation
14724,14724,How do you make a correlation matrix
14725,14725,How do you calculate covariance matrix in R
14726,14726,Why email is unstructured data
14727,14727,How do you handle imbalanced classification problems in machine learning
14728,14728,What is categorical data type
14729,14729,Does ReLU have vanishing gradient
14730,14730,How can local minima be avoided
14731,14731,What is local minima problem in neural network
14732,14732,How do you evaluate the median
14733,14733,How do you interpret the mean and median
14734,14734,What is the difference between median and mean
14735,14735,What is the shape parameter in a gamma distribution
14736,14736,Is 0.4 A good correlation
14737,14737,Which techniques are used in pattern recognition
14738,14738,Is logistic regression used for regression
14739,14739,Why logistic regression is called regression
14740,14740,What is logistic regression widely used for
14741,14741,What is difference between logistic regression and linear regression
14742,14742,What is the relationship between sample size and standard deviation
14743,14743,Is standard deviation dependent on sample size
14744,14744,How does the standard deviation change
14745,14745,What are the methods of analysis
14746,14746,What are the basic data analysis methods
14747,14747,What are the two main methods of data analysis
14748,14748,What are the various types of data analysis
14749,14749,What is the use of threshold in image processing
14750,14750,How do you find the threshold of an image
14751,14751,What does a correlation of .2 mean
14752,14752,How do you use Weka to predict
14753,14753,What is the benefit of streaming data
14754,14754,How do you Analyse streaming data
14755,14755,How does multi label classification work
14756,14756,Which technique is used in cure to detect outlier
14757,14757,How do you remove outliers from average
14758,14758,What is the difference between variance and bias
14759,14759,Is variance a biased estimator
14760,14760,What is variance of estimator
14761,14761,What biased mean
14762,14762,How do you find Q1 and Q3 from mean and standard deviation
14763,14763,How do you determine the IQR
14764,14764,How do you compare Iqr and standard deviation
14765,14765,Which indicator is used in Mohr's method
14766,14766,How do you find the class interval and class width
14767,14767,Is class interval and class size the same
14768,14768,What is the class width
14769,14769,Why data should be normalized before training a neural network
14770,14770,How is random error eliminated or Minimised
14771,14771,How do you minimize systematic and random errors
14772,14772,How do you interpret a weighted kappa
14773,14773,What is kappa statistic used for
14774,14774,Why is tree pruning useful in decision tree induction
14775,14775,What does Quantised mean
14776,14776,What does quantization mean
14777,14777,What is another word for quantized
14778,14778,What does hypergeometric distribution mean
14779,14779,How do you use the hypergeometric distribution formula
14780,14780,What is GLM in SPSS
14781,14781,How do you do a generalized linear model in SPSS
14782,14782,How do you find posterior
14783,14783,What does T score and Z score mean
14784,14784,What are the advantages of CNN
14785,14785,How do you run a conjoint analysis in R
14786,14786,Can SurveyMonkey do conjoint analysis
14787,14787,Is Anova parametric or non parametric
14788,14788,What is an ingroup vs outgroup
14789,14789,Why do we use multivariate analysis
14790,14790,What is common sense in AI
14791,14791,What is motivation Short answer
14792,14792,What is motivation and its types
14793,14793,What is motivation explain types of motivation
14794,14794,Why do we engage in causal analysis
14795,14795,How do you tell if a range is a function
14796,14796,What does Range mean in statistics
14797,14797,What decision boundary can logistic regression provide
14798,14798,Why logistic regression has a linear decision boundary
14799,14799,Does a normal distribution have to be symmetrical
14800,14800,Which distribution is skewed right
14801,14801,What issue does weighted least squares try to handle
14802,14802,What is the difference between deep learning and neural networks
14803,14803,What is machine learning neural networks
14804,14804,What is the outcome variable dependent variable in this experiment
14805,14805,What's a outcome variable
14806,14806,Is hazard ratio the same as odds ratio
14807,14807,What is the predictive analysis in machine learning
14808,14808,What is machine learning
14809,14809,How artificial intelligence will change the future
14810,14810,What is considered a part of NLU
14811,14811,Is PCA supervised or unsupervised learning
14812,14812,What is the Matrix speech
14813,14813,Who does Morpheus represent in the Matrix
14814,14814,How do you convert P value to z score
14815,14815,How do you convert a data value to a Z score
14816,14816,How do you convert probability to Z score in Excel
14817,14817,What is the probability of Z score
14818,14818,What is an image computer vision
14819,14819,How do you calculate lift and confidence
14820,14820,What is true of the lift value in association rule
14821,14821,What is ImageNet in deep learning
14822,14822,What is ImageNet machine learning
14823,14823,How many GB is ImageNet
14824,14824,How does SVM evaluate performance
14825,14825,Is lognormal distribution continuous
14826,14826,What is the difference between the chi square test for goodness of fit and the chi square test for independence
14827,14827,Do we normalize categorical data
14828,14828,What is misclassification rate
14829,14829,Is artificial intelligence a good degree
14830,14830,Is it worth doing masters in artificial intelligence
14831,14831,Are neural networks hard to learn
14832,14832,How do you calculate error
14833,14833,How do you interpret an analysis of variance
14834,14834,Why do we need dummy variables
14835,14835,What is the difference between binary variable and dummy variable
14836,14836,What is supervised learning in machine learning
14837,14837,What is Sobel in image processing
14838,14838,What is edge detection in image processing
14839,14839,How do you choose a cluster sample
14840,14840,What are clustering algorithms used for
14841,14841,What is probability histogram
14842,14842,What is the formula for histograms
14843,14843,How do you write a linear model
14844,14844,How can you tell if a model is linear
14845,14845,How do you calculate log normal distribution in Excel
14846,14846,How do you calculate lognormal standard deviation
14847,14847,Where do we use linear regression
14848,14848,Why is linear regression important
14849,14849,What's true for drive reinforcement learning
14850,14850,Does all machine learning use neural networks
14851,14851,What is logistic regression towards data science
14852,14852,What is meant by logistic regression
14853,14853,Why it is called logistic regression
14854,14854,How do you do weighted averages
14855,14855,How do you calculate a weighted average in Excel
14856,14856,How weighted grades are calculated
14857,14857,How do you find the marginal effect
14858,14858,What are marginal effects in logistic regression
14859,14859,What are average marginal effects
14860,14860,What is a one sample sign test
14861,14861,What is the meaning of random in probability
14862,14862,What image recognition technology is and how it works
14863,14863,What is bagging and boosting in machine learning
14864,14864,How do you run a generalized linear mixed model in SPSS
14865,14865,Is the implicit association test reliable
14866,14866,Is it possible for a test to have good reliability but poor validity
14867,14867,What is the importance of algorithm
14868,14868,What are the advantages of using algorithms
14869,14869,Why do algorithms matter
14870,14870,What is production and its types
14871,14871,What is the meaning of production system
14872,14872,What is a normal z score
14873,14873,What is considered a high z score
14874,14874,What is the difference between t test equal variance and unequal variance
14875,14875,How do you know if variances are equal or unequal
14876,14876,What is a t test two sample assuming unequal variances
14877,14877,What does factorial Anova mean
14878,14878,How do you analyze a factorial design
14879,14879,How do you read precision
14880,14880,What is meant by a statistical hypothesis
14881,14881,How is cluster sampling used
14882,14882,Why is machine learning important
14883,14883,What do you mean by sentiment analysis
14884,14884,What is sentiment analysis explain with help of an example
14885,14885,How do you write a sentiment analysis
14886,14886,What is a inverse statement
14887,14887,Is it hard to learn artificial intelligence
14888,14888,What are the properties of hypergeometric distribution
14889,14889,What is the range of hypergeometric distribution
14890,14890,What is the relationship between language and thinking
14891,14891,What is the relationship between language and thinking quizlet
14892,14892,What is the relationship between language and culture and human thought patterns
14893,14893,What is Fourier used for
14894,14894,What are Fourier terms
14895,14895,What is meant by Fourier analysis
14896,14896,What is Fourier series example
14897,14897,What is the correlation coefficient in regression analysis
14898,14898,What is correlation in linear regression
14899,14899,How do you find the correlation coefficient in a linear regression
14900,14900,What is the coefficient of linear correlation
14901,14901,How is hysteresis measured
14902,14902,What is hysteresis used for
14903,14903,What is mid range statistics
14904,14904,What is the formula of median in statistics
14905,14905,Is mid range a measure of center
14906,14906,What is the sample midrange
14907,14907,Is Hmm deep learning
14908,14908,How do you conduct a concept analysis
14909,14909,What does concept analysis mean
14910,14910,What is conceptual analysis and how does it work
14911,14911,How does an artificial neural network model the brain
14912,14912,How does machine learning work similar to a brain
14913,14913,What are data visualization techniques
14914,14914,What is data Visualisation mention two data Visualisation techniques
14915,14915,What is data visualization and why is it important
14916,14916,What are the uses of F test
14917,14917,What is the degrees of freedom for F test
14918,14918,Is deep learning the same as AI
14919,14919,What is cross entropy function
14920,14920,What does it mean to hash something out
14921,14921,What is the purpose of hashing
14922,14922,What is hashing with example
14923,14923,What is GoogLeNet
14924,14924,What is AlexNet CNN
14925,14925,What functions are used for regression analysis
14926,14926,Which function is used for regression relation
14927,14927,What statistical model is assumed in the regression analysis
14928,14928,How is Anova related to regression
14929,14929,What is the difference between correlation and causation quizlet
14930,14930,What is regularization in regression
14931,14931,How is pseudo random different from random
14932,14932,Why do we convert normal distribution to standard normal distribution
14933,14933,What is the importance of standard normal distribution
14934,14934,Why do we use normal distribution
14935,14935,Is there a difference between normal distribution and standard normal distribution
14936,14936,What are the types of predictive analytics
14937,14937,What is the difference between machine learning and statistical learning
14938,14938,How is dropout implemented
14939,14939,Is an absorbing state periodic
14940,14940,How do you prove a Markov chain is recurrent
14941,14941,Is Word2vec a neural network
14942,14942,How was Word2vec trained
14943,14943,What is meant by K means algorithm
14944,14944,How is K means clustering algorithm used
14945,14945,How do you calculate variance covariance matrix by hand
14946,14946,How is covariance measured
14947,14947,Why we use ensemble methods
14948,14948,Is null hypothesis positive or negative
14949,14949,Why is a null hypothesis important
14950,14950,Is the null hypothesis rejected
14951,14951,What does calibration mean in statistics
14952,14952,How do you find the weighted total
14953,14953,Where is weighted mean used
14954,14954,What is Gru and Lstm
14955,14955,What does invariance mean
14956,14956,What is principle of invariance
14957,14957,What is the invariance property of MLE
14958,14958,What is location invariant
14959,14959,What does the determinant say about a matrix
14960,14960,How do you interpret a correlation coefficient matrix
14961,14961,What is correlation matrix in statistics
14962,14962,How are word Embeddings usually evaluated qualitatively or quantitively )
14963,14963,How are word Embeddings learned
14964,14964,What is extrinsic evaluation
14965,14965,What is normalized histogram
14966,14966,What is normalization of an image
14967,14967,What is a normalized plot
14968,14968,What is the difference between a binomial experiment and a binomial distribution
14969,14969,What is the difference between probability distribution and binomial distribution
14970,14970,What is N dimensional vector space
14971,14971,What does N mean in vectors
14972,14972,What happens when you learn something new
14973,14973,Do you feel motivated when learning something new
14974,14974,What are the benefits of learning something new
14975,14975,What can you learn from new things
14976,14976,What do normal distribution curves show
14977,14977,What is true about a normal curve
14978,14978,What is sample design explain different types of sample design
14979,14979,What is AI and where it is used
14980,14980,What are the four main areas of artificial intelligence
14981,14981,What is the range of the random variable
14982,14982,What are continuous random variables
14983,14983,Which is a range of a discrete random variable X
14984,14984,When X is a continuous random variable P x A is
14985,14985,Is collaborative filtering supervised learning
14986,14986,How do you find the least squares regression equation
14987,14987,Why Quick Select is O N
14988,14988,Is randomized quicksort stable
14989,14989,Is GLM machine learning
14990,14990,How do you develop image recognition
14991,14991,Should I learn Scikit learn or Tensorflow
14992,14992,How do you find K in probability density function
14993,14993,What is a constant in probability
14994,14994,What is exact difference between accuracy and precision
14995,14995,What is error accuracy and precision
14996,14996,What is the difference between accuracy precision and tolerance
14997,14997,What is the difference between one tailed and two tailed hypothesis
14998,14998,How does Gaussian blur work
14999,14999,How do you implement Gaussian blur
15000,15000,Which strategy is used for tuning Hyperparameters
15001,15001,What is tuning in machine learning
15002,15002,What are metrics
15003,15003,What is an Anova test used for
15004,15004,What is the meaning of one way Anova
15005,15005,Is Mean Deviation the same as standard deviation
15006,15006,What are the properties of a continuous random variable
15007,15007,How do you evaluate Gan performance
15008,15008,How do you convert categorical data to numeric
15009,15009,How do you convert categorical string variables to labeled numeric variables
15010,15010,How do you convert non numeric data to numeric data
15011,15011,What is dropout in Tensorflow
15012,15012,Can a probability distribution be negative
15013,15013,How do you find the probability less than
15014,15014,How do you treat categorical variables in machine learning
15015,15015,What is pooling in image processing
15016,15016,What is weight in machine learning
15017,15017,What is inverse transform technique in simulation
15018,15018,What is the inverse of the normal cumulative distribution
15019,15019,What is the minimum sample size for experimental design
15020,15020,What does effective sample size mean
15021,15021,Is it good to have a high z score
15022,15022,What is hazard ratio in survival analysis
15023,15023,What do you mean by tensor of zero rank
15024,15024,Is Gamma an exponential family distribution
15025,15025,What is the difference between exponential and Poisson distribution
15026,15026,How do you choose optimal K in K means
15027,15027,Which of the following is are possible exit conditions for K means
15028,15028,What is the goal of the K Means algorithms
15029,15029,Are machine learning and data science related
15030,15030,Is data science related to coding
15031,15031,How do you calculate cross sectional data
15032,15032,What is bagging in ensemble
15033,15033,Should I use multiple R squared or adjusted R squared
15034,15034,What is the difference between R 2 and adjusted R 2
15035,15035,Why do you think it is better to use adjusted R squared In the case of multiple linear regression
15036,15036,How do you measure categorical data
15037,15037,How do you create a dataset for machine learning
15038,15038,Is it appropriate to use the normal distribution to find probabilities for
15039,15039,What are non parametric tests in statistics
15040,15040,What does it mean if something is normally distributed
15041,15041,What is data level parallelism give an example
15042,15042,What are the two types of parallelism
15043,15043,How does SPSS calculate weighted kappa
15044,15044,How do you encode data
15045,15045,Is one hot encoding feature engineering
15046,15046,What is off policy reinforcement learning
15047,15047,Is Dqn a off policy
15048,15048,Which of the following is an example of reinforcement learning
15049,15049,What is B in correlation
15050,15050,What is b0 and b1 in linear regression
15051,15051,What is the B in Y ax B
15052,15052,How do you know if a matrix is symmetric
15053,15053,What is a symmetric matrix with example
15054,15054,Is maximum likelihood useful for representation learning
15055,15055,What is the difference between confidence interval and probability
15056,15056,How do data implants work
15057,15057,What is univariate and bivariate distribution
15058,15058,Is Cronbach's alpha a measure of test retest reliability
15059,15059,Which method can be used to estimate reliability of test
15060,15060,How do you know if you accept or reject the null hypothesis
15061,15061,What is the criteria used to reject a null hypothesis
15062,15062,How do you accept or reject the null hypothesis t test
15063,15063,What is precision recall and F1 score in machine learning
15064,15064,What is Precision Recall F1
15065,15065,Why would you use Anova instead of at test
15066,15066,What is the purpose of Anova in data analysis
15067,15067,What is the difference between class boundary and class limit
15068,15068,What is the difference between class interval and Class Mark
15069,15069,What does the loss function mean
15070,15070,How do you create a predictive model
15071,15071,How do you do predictive analytics in R
15072,15072,How do you compare two proportions
15073,15073,Can you use at test to compare proportions
15074,15074,Are two proportions statistically different
15075,15075,What does regularized mean
15076,15076,Is ReLU differentiable at 0
15077,15077,How do you find the interaction between variables
15078,15078,What is an interaction between two variables
15079,15079,Can the CLT be applied to a random sample from a discrete distribution
15080,15080,Should data be normally distributed
15081,15081,Why are normal distributions so common with data
15082,15082,Can Kafka be used for batch processing
15083,15083,Can Kafka be used for ETL
15084,15084,Why is discounted reward necessary in reinforcement learning
15085,15085,What is discount factor in Q learning
15086,15086,What does sound mean in statistics
15087,15087,What does white noise mean in statistics
15088,15088,What's the difference between population and sample standard deviation
15089,15089,What is the difference between big data and Hadoop
15090,15090,Why are algorithms biased
15091,15091,How do you know what type of t test to use
15092,15092,What is a good t test value
15093,15093,What relationship holds between F and T values
15094,15094,What can image recognition be used for
15095,15095,How do you get rid of bias
15096,15096,How do you stop perceptual bias
15097,15097,What does the spectral theorem say
15098,15098,What is spectral mapping
15099,15099,Is a spectrum linear
15100,15100,Is a variable discrete or continuous
15101,15101,How many fields are in a QFT
15102,15102,What are activation functions used for
15103,15103,Why and when do we use parametric tools
15104,15104,How do you know if data is positively skewed
15105,15105,What do you optimize in designing a SVM classifier
15106,15106,How does unsupervised deep learning work
15107,15107,Can neural networks be unsupervised
15108,15108,How does social media use artificial intelligence
15109,15109,Which tool is used as deep learning tool for Facebook
15110,15110,Is AlphaGo artificial intelligence
15111,15111,What is the purpose of AI in DeepMind
15112,15112,Is AlphaZero AI
15113,15113,How do you do vector autoregression
15114,15114,Who uses logistic regression
15115,15115,How can body language convey emotion
15116,15116,How can you tell if someone is happy in body language
15117,15117,How do you write a decision rule
15118,15118,Can you disprove a null hypothesis
15119,15119,How do you check the validity of a model
15120,15120,Which are methods used for validating models
15121,15121,What are dependent and independent events
15122,15122,How do you identify independent and dependent events
15123,15123,Is F test one sided
15124,15124,What is sigmoid in neural network
15125,15125,What is sigmoid used for
15126,15126,What is sigmoid equation
15127,15127,How do you find the singular value decomposition
15128,15128,What is the significance of covariance
15129,15129,Why do you use coefficient of correlation instead of covariance
15130,15130,Is the expected number the mean
15131,15131,Is expected value the same as median
15132,15132,What is statistical inference used for
15133,15133,What is included in inferential statistics
15134,15134,What is term frequency matrix
15135,15135,How do you find the probability
15136,15136,What does sample proportion mean in statistics
15137,15137,What is a sampling proportion
15138,15138,How do you find the sample proportion in statistics
15139,15139,What is the difference between sample proportion and sample mean
15140,15140,How do you solve Bayesian probability
15141,15141,What are optimization techniques
15142,15142,What is the use of activation function in CNN
15143,15143,What can TensorFlow be used for
15144,15144,What IID normal
15145,15145,Are residuals IID
15146,15146,What is Endogeneity in regression
15147,15147,What is mutual information and KL divergence
15148,15148,What are attention networks
15149,15149,What are the assumptions of chi square test
15150,15150,What do you mean by chi square test explain the conditions for the application of chi square test
15151,15151,When would you use a goodness of fit test
15152,15152,How do you find bias in statistics
15153,15153,What is the meaning of bias in statistics
15154,15154,What is the difference between normal and Poisson distribution
15155,15155,How do you know if a distribution is binomial
15156,15156,When binomial distribution is normal
15157,15157,How does AdaBoost improve classifier accuracy
15158,15158,Can AdaBoost be used for classification
15159,15159,Why accuracy is not good for imbalanced dataset
15160,15160,How do you deal with imbalanced data
15161,15161,Which of the following does not apply to cluster analysis
15162,15162,What are the issues in knowledge representation
15163,15163,What does it mean when data is not normally distributed
15164,15164,How is significance level related to probability
15165,15165,How do you find the expected sample mean
15166,15166,What is the cost function used in linear regression
15167,15167,What is linear cost function
15168,15168,Is cost function same as loss function
15169,15169,What is class interval
15170,15170,What does an R2 value of 0.2 mean
15171,15171,How do you improve linear regression performance
15172,15172,How do you determine the accuracy of a regression model
15173,15173,How do you deal with vanishing gradient problems
15174,15174,What is serial correlation in panel data
15175,15175,What is the role of loss function in machine learning
15176,15176,Is an unbiased estimator for P
15177,15177,What is the difference between H0 and H1
15178,15178,What is the significance of correlation coefficient
15179,15179,When a correlation is statistically significant We know that it quizlet
15180,15180,What are the challenges of querying on large data stream
15181,15181,What is a good R squared value for correlation
15182,15182,How do you know if it is a probability distribution
15183,15183,How is a machine learning model stored
15184,15184,What is Q learning algorithm
15185,15185,What is Q table in reinforcement learning
15186,15186,Can you use non parametric tests on normal data
15187,15187,How do you calculate random error
15188,15188,How do you limit random errors
15189,15189,What does a density plot tell us
15190,15190,What is the difference between density and frequency
15191,15191,What is tensor matrix
15192,15192,Can decision trees be used for prediction
15193,15193,How do you find the class interval size
15194,15194,What is the difference between class interval and class size
15195,15195,How do you represent a random variable
15196,15196,What is the common notation for random variables
15197,15197,What is indicator random variable
15198,15198,How do you construct a Lorenz curve example
15199,15199,What is the relationship between the Lorenz curve
15200,15200,What is the purpose of stratified sampling
15201,15201,When would you use a stratified random sample
15202,15202,How do you use conditional probability formula
15203,15203,How do you increase fairness in AI
15204,15204,How does the normal curve relate to the normal distribution
15205,15205,What is back propagation method
15206,15206,Can we use neural networks for regression
15207,15207,How do you choose Alpha in gradient descent
15208,15208,What is the use of TensorFlow
15209,15209,What is the advantage of TensorFlow
15210,15210,What is dataset analysis
15211,15211,How do you analyze good data
15212,15212,What do you mean by quota sampling what are its merits
15213,15213,Why is prescriptive analytics important
15214,15214,What is Wilcoxon signed rank test used for
15215,15215,How do you know whether to use a Wilcoxon signed rank test or a Wilcoxon rank sum test
15216,15216,Can you do at test with unequal sample sizes
15217,15217,How does sample size affect data
15218,15218,Why are unequal sample sizes a problem
15219,15219,When should you use classification over regression
15220,15220,What is the difference between regression and classification in machine learning
15221,15221,Is chi squared always right tailed
15222,15222,Is Chi Square at test
15223,15223,What is a hierarchical multiple regression analysis
15224,15224,What does hierarchical regression show
15225,15225,What is hierarchical logistic regression
15226,15226,What does it mean when you use a 0.05 level of significance
15227,15227,When should you reject the null hypothesis there are two correct answers
15228,15228,Is age an ordinal variable
15229,15229,What is considered ordinal data
15230,15230,What is the purpose of AB testing
15231,15231,What can you test with a B testing
15232,15232,Why is random sampling the best method
15233,15233,Why are random samples so important in statistics
15234,15234,Why is it important to select samples from a population using random selection
15235,15235,How do you receive payments on stripe
15236,15236,How many dependent variables are there
15237,15237,How does an activation function work
15238,15238,How can object detection accuracy be improved
15239,15239,Why are kernel functions used
15240,15240,Why do we calculate odds ratio
15241,15241,What is the function of a normal curve
15242,15242,What is the purpose of an information criterion
15243,15243,How do you get good at algorithms
15244,15244,Why is it called receiver operating characteristic
15245,15245,What does the receiver operating characteristic ROC curve show
15246,15246,Why are energy levels quantized
15247,15247,What is quantized energy
15248,15248,What causes quantization
15249,15249,What is the minimum point of AVC
15250,15250,What is the lowest point on the average variable cost curve
15251,15251,What is the minimum level of average variable cost
15252,15252,What are analytical tools used for
15253,15253,What does a residual plot determine
15254,15254,How do you determine if a model is a good fit
15255,15255,What kind of residual values would indicate that the line is a good fit for the data
15256,15256,What are the various algorithms used in swarm intelligence
15257,15257,How do you treat missing values in a data set
15258,15258,What is the best imputation method you would consider for replacing missing values in a numerical feature
15259,15259,What are all the components of deep learning
15260,15260,What is deep learning theory
15261,15261,What does Gaussian blur mean
15262,15262,What makes a good hash function
15263,15263,What is the mean of a set of z scores
15264,15264,What does Z test tell you
15265,15265,How is a positional index different from an inverted index
15266,15266,What type of algorithm is naive Bayes
15267,15267,What is the difference between additive and multiplicative model
15268,15268,What is a decomposition model
15269,15269,Can you use at test with ordinal data
15270,15270,How do you test ordinal data
15271,15271,What are the methods of measuring correlation
15272,15272,How do you compare log likelihood values
15273,15273,Why do we need non uniform quantization
15274,15274,Why do we need quantization
15275,15275,What is the difference between biased and unbiased estimators
15276,15276,What is Sobel operator used for
15277,15277,How do you create a linear regression model
15278,15278,How do regression models work
15279,15279,What does standardizing variables do to correlation
15280,15280,When should you standardize variables
15281,15281,Why is it important to have standardized variables in your experiment
15282,15282,Why is translation not a linear transformation
15283,15283,Why is f called a linear function
15284,15284,What does linear mean in linear algebra
15285,15285,Why does standard deviation not change with sample size
15286,15286,How do you train a machine learning model
15287,15287,What do you mean by stochastic process
15288,15288,What makes an estimator efficient
15289,15289,What is the region of rejection for a one tail Z Test
15290,15290,How is semi supervised learning implemented
15291,15291,What are Logits in deep learning
15292,15292,What are Logits in TensorFlow
15293,15293,Is Z value the same as critical value
15294,15294,How do you find the critical value of a Z table
15295,15295,What is Bayes theorem show how it is used for classification
15296,15296,How is Bayesian algorithm useful in classification
15297,15297,What is the difference between machine learning and data mining
15298,15298,What is the difference between data mining and statistics
15299,15299,Is data mining part of artificial intelligence
15300,15300,Do you know the difference between data analytics and AI machine learning
15301,15301,What is character N gram
15302,15302,Does M stand for mean or median
15303,15303,What is capital M in statistics
15304,15304,When to use median vs mean
15305,15305,What type of clustering is K means
15306,15306,Why K means is considered a means of unsupervised learning
15307,15307,What is dependent in probability
15308,15308,Where do machine learning models deploy
15309,15309,How is machine learning model in production used
15310,15310,How many machine learning models are there
15311,15311,What does it mean for an estimator to be unbiased
15312,15312,How do you do causal analysis
15313,15313,How is causal analysis applied in analyzing problems and solutions
15314,15314,What is the probability of observing any particular exact value of a continuous random variable
15315,15315,What is sift used for
15316,15316,Why quantization is needed
15317,15317,What is the need for non uniform quantization
15318,15318,What quantization means
15319,15319,Why do we quantize the data samples
15320,15320,What does predictive model mean
15321,15321,What is a Type 1 statistical error
15322,15322,What is the probability of type 1 error
15323,15323,Which statistical test can be used to measure the importance of categorical features when the output variable is numerical
15324,15324,What is chi square test for categorical data
15325,15325,What is KNN imputation
15326,15326,How do you impute missing values in R using Knn
15327,15327,Can Knn be used to impute missing values for categorical and continuous variables
15328,15328,What is log odds in logistic regression
15329,15329,Why do we take log of odds in logistic regression
15330,15330,How confusion matrix is calculated
15331,15331,What are the advantages of quota sampling
15332,15332,What is a disadvantage of quota sampling quizlet
15333,15333,What are the advantages and disadvantages of systematic sample selection
15334,15334,What is feature detection
15335,15335,What is feature matching in image processing
15336,15336,Is unsupervised learning the same as deep learning
15337,15337,Is an independent t test parametric or nonparametric
15338,15338,What is a non parametric t test
15339,15339,How do you describe a decision tree
15340,15340,What is decision tree explain with an example
15341,15341,How do you interpret a correlation matrix in SPSS
15342,15342,What information does the correlation coefficient r tell us
15343,15343,How do you interpret a correlation plot
15344,15344,What does time invariant mean
15345,15345,What is finite population correction factor
15346,15346,What is training a model
15347,15347,Why do we use gradient descent in machine learning
15348,15348,What is accomplished by gradient descent algorithm in machine learning
15349,15349,Why is gradient descent method is adopted to minimize error
15350,15350,What does it mean to calibrate a model
15351,15351,What is GLM () in R
15352,15352,What package is GLM in
15353,15353,How do I know my kernel size
15354,15354,What is the kernel size in CNN
15355,15355,What is kernel size in keras
15356,15356,What is the difference between a sample proportion and a population proportion
15357,15357,How do you know if a sample proportion is normally distributed
15358,15358,What is meant by sentiment analysis
15359,15359,What is sentiment analysis in machine learning
15360,15360,What's the relationship between variance and standard deviation
15361,15361,Is sample mean the same as standard deviation
15362,15362,Why is boosting so effective
15363,15363,What inverse binomial
15364,15364,What is gradient descent function
15365,15365,What is exclusive series in statistics
15366,15366,What are the types of class intervals
15367,15367,What is model in artificial intelligence
15368,15368,How do you fix autocorrelation when using a linear regression model
15369,15369,What is the problem of autocorrelation
15370,15370,How is autocorrelation problem detected
15371,15371,What are remedial for autocorrelation
15372,15372,What is estimation and types of estimation
15373,15373,What is a sample estimate in statistics
15374,15374,What is the p value for t statistic
15375,15375,How is the p value related to the test statistic
15376,15376,What is a good P value for a t test
15377,15377,What is PSD in vibration analysis
15378,15378,What is asymptotic analysis of an algorithm
15379,15379,What are asymptotic notations explain with examples
15380,15380,What is machine learning and how does it relate to AI
15381,15381,Is deep learning part of artificial intelligence
15382,15382,What is variable What is the difference between discrete and continuous variable
15383,15383,Can decision trees be used for continuous data
15384,15384,What is optimization algorithm in machine learning
15385,15385,What does it mean to sample with replacement
15386,15386,What is the difference between sampling with replacement and sampling without replacement
15387,15387,What is negative binomial probability distribution
15388,15388,What is meant by sampling units in statistics
15389,15389,What is sampling methods of sampling
15390,15390,How are hashes calculated
15391,15391,How do you solve a hash function
15392,15392,What is hash function example
15393,15393,What does variability mean in statistics
15394,15394,How do you calculate variability in Excel
15395,15395,How do you calculate variation of data
15396,15396,How do you explain variability
15397,15397,Why is artificial intelligence the future
15398,15398,Is artificial intelligence growing
15399,15399,What does a B testing mean
15400,15400,What is a B testing and why is this important
15401,15401,What is the difference between standard deviation and deviation
15402,15402,What is a deviation
15403,15403,Is Autoencoder neural network
15404,15404,What is the difference between neural network and deep neural network
15405,15405,What's the difference between Anova and Manova
15406,15406,What function is used by logistic regression
15407,15407,Is the cost function of logistic regression convex
15408,15408,What does AUC score mean
15409,15409,What is difference between ML and DL
15410,15410,How do you solve Lagrange multipliers with two constraints
15411,15411,How would you interpret a correlation coefficient of 1
15412,15412,What does it mean if a coefficient is negative
15413,15413,What is the advantage of using gradient descent algorithm
15414,15414,Which distribution is used for a testing hypothesis
15415,15415,How do I know if data is normally distributed
15416,15416,How do you find the expectation of a random variable
15417,15417,How do you find the expected value of two random variables
15418,15418,What are the principle of sampling
15419,15419,What are the 4 basic sampling methods
15420,15420,How do you find prior probability
15421,15421,How does facial recognition work step by step
15422,15422,How well does facial recognition work
15423,15423,What is the science behind facial recognition
15424,15424,How does the variance of the sample mean compared to the variance of the population
15425,15425,Is variance affected by sample size
15426,15426,Is the sample mean always smaller than the population mean
15427,15427,What is cosine similarity used for
15428,15428,What is cosine similarity Python
15429,15429,What is W in regression
15430,15430,How do you interpret logistic regression
15431,15431,What are the parameters in logistic regression
15432,15432,Why is E used in logistic regression
15433,15433,What is non response bias in statistics
15434,15434,Which is better correlation or covariance
15435,15435,Why is correlation sometimes more useful than covariance
15436,15436,Why do we use covariance
15437,15437,How do you find the class boundaries and class limits
15438,15438,What does it mean to bootstrap
15439,15439,Under what circumstances would you use at test rather than AZ test
15440,15440,Why is the Z test more powerful than the t test
15441,15441,What conditions are necessary in order to use the Z test to test the difference between two population means
15442,15442,Why do we use Z tests for proportions
15443,15443,What is multiple regression example
15444,15444,What is Bayes test
15445,15445,Does pooling affect backpropagation
15446,15446,What is the effect of using pooling layers in convolutional neural networks
15447,15447,How do you find cross correlation between two signals
15448,15448,What tools are used for data mining
15449,15449,What are text analyzing tools
15450,15450,What is ML pipeline
15451,15451,How is mean rank calculated
15452,15452,Is keras and TensorFlow same
15453,15453,What is keras tensor
15454,15454,What is the formula for regression analysis
15455,15455,What is the meaning of random forest
15456,15456,Does selection bias affect validity
15457,15457,What is the weakness of a correlational research method
15458,15458,What is the major disadvantage of a correlational study
15459,15459,What does a multiple regression analysis tell you
15460,15460,What is the meaning of law of average
15461,15461,Is year a continuous or categorical variable
15462,15462,What is a sequence in machine learning
15463,15463,How do you draw a decision tree
15464,15464,What is AGI system
15465,15465,What is the difference between ANI and AGI
15466,15466,What does the Adam Optimizer do
15467,15467,What is Adagrad Optimizer
15468,15468,What is Backpropagation
15469,15469,What is Attention layer
15470,15470,How do you determine if something is an eigenvalue of a matrix
15471,15471,Is an eigenvector of a matrix
15472,15472,What type of ML algorithm is suitable for predicting the continuous dependent variable
15473,15473,What is a continuous dependent variable
15474,15474,How do you find the centroid of a cluster analysis
15475,15475,How do you convert log odds to probabilities
15476,15476,How are type I and type II errors related
15477,15477,What is the difference between Type 1 error and Type 2 error
15478,15478,What is the formula for class size
15479,15479,What is literary parallelism
15480,15480,How do you do descriptive statistics
15481,15481,What is the purpose of descriptive statistics
15482,15482,What is descriptive statistics and inferential statistics
15483,15483,What does random error mean
15484,15484,What degree do you need to work in artificial intelligence
15485,15485,What is Gan Ai
15486,15486,Is the law of averages real
15487,15487,Who came up with the law of large numbers
15488,15488,How is likelihood different from probability
15489,15489,What is likelihood in Bayes Theorem
15490,15490,How do you calculate likelihood
15491,15491,Can we use TensorFlow for machine learning
15492,15492,Is TensorFlow used for machine learning or deep learning
15493,15493,What is a positively skewed distribution
15494,15494,Why is Kappa so popular
15495,15495,How do you find the convolution of two functions
15496,15496,How do you find the output value
15497,15497,Which neural network architecture is most widely used for time series analysis
15498,15498,Which neural network architecture is best suited for predicting time series sequences
15499,15499,How do you find how many standard deviations from the mean
15500,15500,How do you calculate 3 standard deviations from the mean
15501,15501,How many standard deviations from the mean is normal
15502,15502,How many units of standard deviation from the mean
15503,15503,What is training loss
15504,15504,What is the relationship between the PDF and the CDF of a continuous random variable
15505,15505,Why is the SI system metric
15506,15506,What is considered a metric unit
15507,15507,What is a Word2vec model
15508,15508,Which is the best model used in Word2vec algorithm for word embedding
15509,15509,What do second order partial derivatives mean
15510,15510,What does the second derivative tell you
15511,15511,Why do we use second derivative test
15512,15512,What is ML Optimizer
15513,15513,What is the difference between BRCA 1 and 2
15514,15514,Does BRCA2 skip a generation
15515,15515,What is the goal of random sampling with replacement
15516,15516,What is the purpose of selecting the survey targets randomly
15517,15517,How do you get Cohen's kappa
15518,15518,How do you prove independence of two random variables
15519,15519,What does b1 mean in linear regression
15520,15520,What does B represent in regression
15521,15521,What is a coefficient in regression
15522,15522,What does an r2 value tell us
15523,15523,How many types of objective functions are there
15524,15524,How neural networks are used in deep learning
15525,15525,What is Network in deep learning
15526,15526,How do neural networks learn
15527,15527,When researchers randomly assign subjects to groups it means that
15528,15528,Why are subjects randomly assigned to experimental and control groups
15529,15529,What are the pros and cons of stratified sampling
15530,15530,What are the advantages and disadvantages of sampling techniques
15531,15531,What is a decision tree and how are they developed
15532,15532,What are the steps in decision tree analysis
15533,15533,What are the different types of distribution
15534,15534,What is N point
15535,15535,How do you calculate N point DFT
15536,15536,What is the DFT of x n
15537,15537,What is K in DFT
15538,15538,Is Anova the same as multiple regression
15539,15539,Why do we use Anova in regression
15540,15540,Is Anova a form of multiple linear regression
15541,15541,How can Multicollinearity affect regression models
15542,15542,How do you perform multiple regression analysis
15543,15543,How do you analyze multiple linear regression
15544,15544,What is the difference between the critical value of Z and the observed value of Z
15545,15545,Is critical value the same as P value
15546,15546,What causes a positively skewed distribution
15547,15547,What does it mean if your data is positively skewed
15548,15548,What causes a skew in statistics terms
15549,15549,Why is cluster sampling used
15550,15550,What programming language is used for deep learning
15551,15551,What are deep learning techniques
15552,15552,What is the definition of a false positive
15553,15553,Is it possible to test positive while not pregnant
15554,15554,How do you find the entropy of a source
15555,15555,What is an entropy source Randonautica
15556,15556,What does multinomial logistic regression do
15557,15557,How do you analyze data from a survey
15558,15558,How do you analyze qualitative survey data
15559,15559,How do you analyze survey data with multiple responses
15560,15560,What are the main differences between discrete and continuous probability distributions
15561,15561,How does K nearest KNN algorithm work
15562,15562,What does the K in Knn indicate
15563,15563,What do feature detectors help you to perceive
15564,15564,Where are feature detectors located and what do they do
15565,15565,How do feature detectors help the brain process visual information
15566,15566,What are feature detectors quizlet
15567,15567,What is downsampling an image
15568,15568,What is the purpose of downsampling
15569,15569,How do I reduce the quality of a picture
15570,15570,What is inverse geometry example
15571,15571,What does loss mean in deep learning
15572,15572,How do I know if my data is parametric or nonparametric
15573,15573,What is the z score for a 95% confidence interval
15574,15574,What is the sampling method in qualitative research
15575,15575,What are probability estimates
15576,15576,How do you do estimation in statistics
15577,15577,What is degrees of freedom in Chi square distribution
15578,15578,How do you find the degrees of freedom for a chi square test
15579,15579,What is the difference between machine learning and reinforcement learning
15580,15580,What is control in reinforcement learning
15581,15581,Is Reinforcement a learning optimization
15582,15582,What is a pooling layer in CNN
15583,15583,Can statistics be misused explain with two examples
15584,15584,What is segmentation in object detection
15585,15585,What is scene segmentation
15586,15586,Why do we interpolate data
15587,15587,How do you calculate z test statistic
15588,15588,What is a single sample z test
15589,15589,What is the formula for the single sample t statistic
15590,15590,How do you find the sample value of a test statistic
15591,15591,What is a standard regression
15592,15592,Which type of sampling is biased
15593,15593,Are some selection devices biased
15594,15594,Why is logistic regression called a linear model
15595,15595,Is logistic regression the same as linear regression
15596,15596,Is logistic regression A regression model
15597,15597,Is linear regression a linear model
15598,15598,What's the difference between blocking and non blocking functions
15599,15599,What is the difference between asynchronous and non blocking Nodejs
15600,15600,Does random forest use bootstrap
15601,15601,When to use boosting vs bagging
15602,15602,What do you understand by the concept of learning
15603,15603,How does concept learning occur
15604,15604,What split criteria
15605,15605,What is splitting variable in big data
15606,15606,What is the criterion to select nodes for splitting in a decision tree
15607,15607,How are ml and AI related
15608,15608,Is machine learning part of AI
15609,15609,How do you interpret the p value in a chi square test
15610,15610,What is sequential transfer of learning
15611,15611,What is sequential behavior
15612,15612,What is sensitivity in signal detection theory
15613,15613,What is criterion in signal detection theory
15614,15614,What is an example of signal detection theory
15615,15615,How do you plot a ROC curve
15616,15616,What is ROC curve in logistic regression
15617,15617,Why are eigenvalues and eigenvectors important
15618,15618,What is machine learning coding
15619,15619,Is coding related to AI
15620,15620,What is meant by Fourier transform
15621,15621,What is FFT in image processing
15622,15622,Why should we develop AI
15623,15623,What is AI advantages and disadvantages
15624,15624,What does the variance tell us in statistics
15625,15625,How do you interpret variance in descriptive statistics
15626,15626,What is the link between Poisson and exponential distribution
15627,15627,How is Poisson derived from exponential distribution
15628,15628,Is the Poisson distribution is a special case of the exponential distribution
15629,15629,What does quantile mean in statistics
15630,15630,How do you find Quantiles in statistics
15631,15631,What do ACF plots tell us
15632,15632,What are ACF and PACF plots
15633,15633,What is autocorrelation in machine learning
15634,15634,What is the null hypothesis for a Wilcoxon signed rank test
15635,15635,What does the P value measure
15636,15636,In what ways are the distributions of the Z statistic and t test statistic alike how do they differ
15637,15637,Why do we use the t distribution and not the Z distribution
15638,15638,What are activation function used in hidden layer
15639,15639,Why ReLU is used in hidden layers
15640,15640,Which activation function is used in calculation of output of the hidden layer
15641,15641,What is naive Bayes probability
15642,15642,What does the P stand for in Bayes Theorem
15643,15643,What data is best for a histogram
15644,15644,Are histograms used for qualitative data
15645,15645,What does a distribution show us about a data set
15646,15646,How do you interpret data distribution
15647,15647,What does a distribution represent
15648,15648,What does a Z test tell you
15649,15649,What is the one sample z test used to compare
15650,15650,Why is it important to know if data has bias
15651,15651,How can bias affect a statistical study
15652,15652,Why is it important to use an unbiased sample in your study
15653,15653,Why Artificial Intelligence is a threat
15654,15654,What are the dangers of artificial intelligence
15655,15655,What things in nature follow a normal distribution
15656,15656,How do you determine the shape of a sampling distribution
15657,15657,What is the expected shape of the distribution of the sample mean
15658,15658,How is the shape of the sampling distribution affected by sample size
15659,15659,What is the shape of the sampling distribution of the means if random samples of size n become larger
15660,15660,What does cross sectional study mean
15661,15661,What are the pros and cons of decision tree analysis
15662,15662,Which algorithm is gradient descent technique for solving optimization problem
15663,15663,What does LS TM stands for
15664,15664,How do you choose variables in logistic regression
15665,15665,What is the purpose of cluster analysis in data warehouse
15666,15666,What does it mean when a null hypothesis is rejected
15667,15667,What is ReLU machine learning
15668,15668,What's confidence level in statistics
15669,15669,How does machine learning preprocess data
15670,15670,What are the steps of data preprocessing
15671,15671,What are cumulative distribution function used for
15672,15672,What is cluster analysis used for
15673,15673,Why Clustering is important in real life
15674,15674,How do you find the interaction effect in SPSS
15675,15675,How do you find interaction in statistics
15676,15676,How is AI being used
15677,15677,What are ML applications
15678,15678,Which of the following are application of machine learning and deep learning
15679,15679,What is the decision rule use the 0.05 significance level
15680,15680,What are the advantages of random sampling
15681,15681,How is facial recognition used today
15682,15682,How is machine learning related to data mining
15683,15683,What is meant by machine learning in data mining
15684,15684,How does machine learning use data
15685,15685,What does the average deviation tell you
15686,15686,What is clustering in machine learning with example
15687,15687,What is the formula to find the mean in statistics
15688,15688,Is Z test and z score the same
15689,15689,Is normality required for T test
15690,15690,Is a one sample t test robust
15691,15691,How can I change the position of a picture
15692,15692,How do I move an image to the right side in CSS
15693,15693,How do you do binomial expansion
15694,15694,How do you interpret binomial theorem
15695,15695,What is RNN in machine learning
15696,15696,How do you find the linearity of a multiple regression
15697,15697,How do you find the linearity assumption of a linear regression
15698,15698,How do you check for linearity in multiple regression in SPSS
15699,15699,Is CNN a feedforward network
15700,15700,What is the difference between a feedforward neural network and RNN
15701,15701,What is a dense layer in machine learning
15702,15702,What is the difference between PCA and CCA
15703,15703,What is CCA in statistics
15704,15704,What are advantages of non probability sampling
15705,15705,What are curves in photography
15706,15706,Who created the S curve
15707,15707,What does inverted index mean
15708,15708,What is the difference between forward indexing and backward indexing in list
15709,15709,What is weighted KNN
15710,15710,What is entropy related to
15711,15711,What is the standard error of the difference between means
15712,15712,How do you interpret Pointwise mutual information
15713,15713,What is PMI in algorithm
15714,15714,What are the type of problems in which artificial neural network can be applied
15715,15715,How do you graph a probability distribution
15716,15716,What does kernel mean in linear algebra
15717,15717,What is the kernel of a transformation
15718,15718,What is the kernel of a vector
15719,15719,How do you find the basis of a kernel
15720,15720,What do you mean by learning in neural networks
15721,15721,How do we define learning
15722,15722,What is learning in machine learning
15723,15723,How do you find the semantic similarity between two sentences
15724,15724,What is the role of transfer learning in zero shot learning
15725,15725,How do you find the variance of a square
15726,15726,What is sum squared deviation
15727,15727,How does naive Bayes learn
15728,15728,How is Bayesian probability used in research
15729,15729,Is the sum of normal distributions normal
15730,15730,Is the difference of two normal distributions normal
15731,15731,How do you combine two normal distributions
15732,15732,What is multivariate regression analysis
15733,15733,How do you do multivariate Cox regression in SPSS
15734,15734,What does multivariate regression mean
15735,15735,What is a simple regression analysis
15736,15736,How do you calculate sample size in random sampling
15737,15737,How do you find K in systematic sampling
15738,15738,What is the purpose of the log function
15739,15739,Why log base 2 is used to measure the entropy
15740,15740,How do you find the probability density function of x
15741,15741,How do you test a joint density function
15742,15742,Why Gaussian filter is used in image processing
15743,15743,What is the difference between Gaussian blur and lens blur
15744,15744,What is the advantage of using Gaussian blur
15745,15745,What does class boundaries mean in statistics
15746,15746,In which classes limits are boundaries
15747,15747,What is the class boundary of 0 9
15748,15748,What is Judgemental sampling with example
15749,15749,How does K mean
15750,15750,How do you know if a system is isolated
15751,15751,When X and Y are statistically independent then I x Y is
15752,15752,What is the mean of a geometric distribution
15753,15753,How do you find the mean and standard deviation of a geometric distribution
15754,15754,What is the formula for finding the mean of a binomial distribution
15755,15755,What is outlier in machine learning
15756,15756,What are the unsupervised learning techniques
15757,15757,What does condition mean in statistics
15758,15758,What is a conditional variable in statistics
15759,15759,How do you improve validation accuracy
15760,15760,What is non linear model of communication
15761,15761,What is the output of a logistic regression algorithm
15762,15762,How do you interpret logistic regression output
15763,15763,What is the output of a regression
15764,15764,What are applications of artificial intelligence
15765,15765,What are the differences between Minimax algorithm and Alphabeta with examples )
15766,15766,What is the limit of factor loadings
15767,15767,What is a good factor loading score
15768,15768,What is the acceptable range for factor loading in SEM
15769,15769,What is an acceptable Delta E for color
15770,15770,What is Delta E mean
15771,15771,How do you read a Delta E report
15772,15772,What is Delta E in monitor
15773,15773,How do you prove a transformation is linear
15774,15774,How do you prove a map is linear
15775,15775,How do you show a matrix is a linear transformation
15776,15776,What is TFX
15777,15777,What is pipeline in TensorFlow
15778,15778,How do you know if a population is normally distributed
15779,15779,Is logistic regression a classifier
15780,15780,Why is logistic regression a linear classifier
15781,15781,What is a wavelet transform used for
15782,15782,Why we use wavelet transform in image processing
15783,15783,How do you find X in a regression equation
15784,15784,How do you find the regression line of X on Y
15785,15785,What is synchronous vs asynchronous learning
15786,15786,Which is an example for asynchronous learning
15787,15787,What does asynchronous learning mean
15788,15788,What is synchronous learning
15789,15789,What is stepwise model selection
15790,15790,What is K in hypergeometric distribution
15791,15791,Is hypergeometric distribution with replacement
15792,15792,What are different types of probability sampling
15793,15793,What are the three types of probability sampling
15794,15794,What is false alarm
15795,15795,Which of the following constitutes a false alarm in signal detection theory
15796,15796,How do I report Poisson regression in SPSS
15797,15797,How do you do Poisson regression
15798,15798,How do uncertainties arise in measurements
15799,15799,What affects the value of the uncertainty during measurement
15800,15800,What happens to uncertainty when you add
15801,15801,Is a normal distribution continuous or discrete
15802,15802,Is statistical inference machine learning
15803,15803,Why validation accuracy is higher than training accuracy
15804,15804,What is a Subhazard ratio
15805,15805,How is machine learning different from regression
15806,15806,Is AI a regression
15807,15807,What does P value of 0.000 mean
15808,15808,How do you explain entropy
15809,15809,What is entropy and why does it matter
15810,15810,Is entropy good or bad
15811,15811,What is Word2vec model
15812,15812,What is Gamma distribution function
15813,15813,What are the different types of random variables
15814,15814,What is an example of logistic growth
15815,15815,Can neural networks be used for regression
15816,15816,What is regression in deep learning
15817,15817,Is linear regression deep learning
15818,15818,How do you know if Alpha is significant
15819,15819,What is Alpha and P value
15820,15820,How does sample size affect the mean
15821,15821,Why is a smaller sample size bad
15822,15822,What is an example of an outgroup
15823,15823,What is logit in machine learning
15824,15824,Which method is used to build the decision tree model
15825,15825,What is decision tree in algorithm
15826,15826,Which of the following algorithm is used for decision tree induction
15827,15827,What is dissimilarity in machine learning
15828,15828,Is R Squared just correlation squared
15829,15829,Is the correlation coefficient R or R 2
15830,15830,What does R Squared mean
15831,15831,How do you calculate sample proportion
15832,15832,What is the sampling proportion
15833,15833,How do you find the sample proportion of a confidence interval
15834,15834,What is the sample proportion P̂
15835,15835,How is LDA model tested
15836,15836,What does a robust test mean
15837,15837,How is robustness measured
15838,15838,How do you know if data is Gaussian
15839,15839,How do you test for Gaussian distribution
15840,15840,What is characteristic of a Gaussian distribution
15841,15841,How do you interpret skewness and kurtosis
15842,15842,What is the difference between big data and data
15843,15843,How do you define big data
15844,15844,What is big data and types of big data
15845,15845,What is the meaning of bottleneck
15846,15846,What is meant by paired data
15847,15847,What is a paired sample
15848,15848,Is sampling error and margin of error the same
15849,15849,What is the difference between sampling error and measurement error
15850,15850,How do you find standard error and margin of error
15851,15851,What is the difference between sampling errors and non sampling errors
15852,15852,How do you read a survival analysis
15853,15853,What is the loss for binary data
15854,15854,Why does sample size decrease as effect size increases
15855,15855,How does increasing effect size affect the required sample size for a certain level of power
15856,15856,How does increasing sample size effect Cohen's d
15857,15857,Can Knn be used for classification and regression
15858,15858,What is the use of cross correlation
15859,15859,What does a correlation value tell you
15860,15860,What do you mean by knowledge based system
15861,15861,What is the U symbol in probability
15862,15862,What is the upside down U in probability
15863,15863,What does the N symbol mean in probability
15864,15864,How does Bigram work
15865,15865,What are the components of reinforcement learning
15866,15866,What is a experiment in statistics
15867,15867,How do you find the difference between proportions
15868,15868,How do you compare two sample proportions
15869,15869,What are common inferential statistics
15870,15870,Does logistic regression work with categorical variables
15871,15871,Can logistic regression be used for regression
15872,15872,What is random grid search
15873,15873,What happens to R square when we move from simple linear regression to multiple linear regression
15874,15874,What does R Squared tell you in linear regression
15875,15875,What happens to correlation when variables are switched
15876,15876,Does the dependent variable change based on the independent variable
15877,15877,What do you mean by data wrangling and warehousing explain the difference
15878,15878,Which of the following might be valid reasons for preferring an SVM over a neural network
15879,15879,How do you create a custom dataset for object detection
15880,15880,How do you make an object detection
15881,15881,How are algorithms discriminated
15882,15882,What are some strategies for avoiding prediction bias
15883,15883,What does bins mean in statistics
15884,15884,What is raw moment in statistics
15885,15885,What is pit testing
15886,15886,How can mutation scores be improved
15887,15887,What are the main benefits of mini batch gradient descent
15888,15888,What type of data is needed for a correlation analysis
15889,15889,Can Pearson correlation be used for ordinal data
15890,15890,What is Pearson's correlation coefficient used for
15891,15891,What is the expected value of XY
15892,15892,What is XY in probability
15893,15893,Is MongoDB good for big data
15894,15894,Is MongoDB good for analytics
15895,15895,Is MongoDB a time series database
15896,15896,How do you know if data is dependent or independent
15897,15897,What does the central limit theorem predict about a sampling distribution of means
15898,15898,What is the mean of the sampling distribution of the sample mean
15899,15899,Why is cluster sampling better than simple random sampling
15900,15900,What is ML and its application
15901,15901,What is the difference between discrete Fourier series and discrete Fourier transform
15902,15902,Why median filter is nonlinear
15903,15903,Can skewed distribution be normal
15904,15904,What is B in logistic regression
15905,15905,What does beta value mean in logistic regression
15906,15906,How do you find B0 and B1 in logistic regression
15907,15907,What are the goals of AI
15908,15908,What are the techniques of artificial intelligence
15909,15909,What is false discovery rate in microarray data
15910,15910,What statistic should be used to find out whether there is a relationship between two variables where at least one variable is ordinal consists of rankings )
15911,15911,What is the main function of logarithm
15912,15912,What is logarithmic function
15913,15913,Why does Anova require normal distribution
15914,15914,What to do if residuals are not normally distributed Anova
15915,15915,What is Type I and Type II error in statistics
15916,15916,How do you find a type 1 error in statistics
15917,15917,How do you show a function is a probability density function
15918,15918,What is meant by noise probability density function
15919,15919,Is a Likert scale a categorical variable
15920,15920,What is difference between probability sampling and non probability sampling
15921,15921,What are the advantages of probability sampling
15922,15922,What is the formula for a permutation
15923,15923,What is the permutation of 12
15924,15924,How Lstm is better than RNN
15925,15925,What are benefits of machine learning
15926,15926,What is perception in artificial intelligence
15927,15927,What is perception in machine learning
15928,15928,What does it mean to center a variable
15929,15929,What is centering in regression
15930,15930,When should you center variables
15931,15931,Why would you mean center the dependent variable
15932,15932,Is Bayes Theorem the same as conditional probability
15933,15933,What are generating functions used for
15934,15934,What is generating function in statistics
15935,15935,How does statistics relate to data science
15936,15936,Do you need statistics for data science
15937,15937,What is the relationship between mean and standard deviation
15938,15938,Does variance increase with mean
15939,15939,What is accuracy predictive model
15940,15940,What is a Turing machine used for
15941,15941,Which pairs of events are independent
15942,15942,Which is better angular react or VUE
15943,15943,Which is better react or angular
15944,15944,How do you explain binomial expansion
15945,15945,What is binomial expansion used for
15946,15946,How do you expand a binomial product
15947,15947,What evidence supports the idea of feature detectors
15948,15948,Where are feature detector cells found
15949,15949,How do you find the threshold value of an image
15950,15950,What is threshold value of an image
15951,15951,Can I use Anova to compare two means
15952,15952,How many groups are in a one way Anova
15953,15953,How do you establish a relationship between two variables
15954,15954,How do you find the relationship between two numerical variables
15955,15955,Is used to show the relationship between two variables
15956,15956,Which is required by K means clustering
15957,15957,What are assumptions for logistic regression
15958,15958,How do you prevent false positives
15959,15959,What is false positive in machine learning
15960,15960,What is meant by extrapolation
15961,15961,What does squashing mean
15962,15962,What is Tanh activation function
15963,15963,What is linear decision boundary
15964,15964,What is non linear classification
15965,15965,Is decision tree linear or nonlinear
15966,15966,How do you do a regression with multiple variables in Excel
15967,15967,What is the difference between P value and significance level
15968,15968,What does alpha level tell you
15969,15969,What alpha value should I use
15970,15970,What is probabilistic linear discriminant analysis
15971,15971,What is entropy in deep learning
15972,15972,What is cross entropy in Tensorflow
15973,15973,What is cross entropy loss in machine learning
15974,15974,What is an image dataset
15975,15975,Why do we do back propagation
15976,15976,How do you calculate standard error in multiple regression
15977,15977,What is standard error in multiple regression
15978,15978,How do you find the standard error of a linear regression
15979,15979,How do you calculate precision and recall from classification report
15980,15980,How do you compare two normal distributions
15981,15981,Under what circumstances can you use the exponential distribution
15982,15982,How do you calculate Cohen's kappa coefficient
15983,15983,How are kappa scores calculated
15984,15984,What are the properties of a normal curve
15985,15985,What is the meaning of linear transformation
15986,15986,What is the difference between linear transformation and matrix transformation
15987,15987,What is the difference between linear and nonlinear transformation
15988,15988,What is interactive decision tree
15989,15989,How do you create a decision tree
15990,15990,What is knowledge in artificial intelligence
15991,15991,What is knowledge and types of knowledge in AI
15992,15992,How do you represent facts and knowledge in AI
15993,15993,What is statistical conclusion validity in research
15994,15994,What does hashed mean
15995,15995,What is the sum of two random variables
15996,15996,What is the convolution sum
15997,15997,How many agents there is in Artificial Intelligence AI )
15998,15998,How do you develop deep learning models with keras
15999,15999,What is an activation value in artificial neuron
16000,16000,What is training accuracy and validation accuracy
16001,16001,What is training and testing accuracy
16002,16002,What is the smallest alpha that you can reject the null hypothesis under when you have a P value of 049
16003,16003,What is the smallest level of significance at which you would be willing to reject the null hypothesis
16004,16004,How do you choose alpha value
16005,16005,What is the main objective of clustering
16006,16006,What is class and object difference between class and object
16007,16007,What does it mean to normalize data in statistics
16008,16008,Do we normalize test data
16009,16009,What is feature space in machine learning
16010,16010,How do you find the derivative of a chain rule
16011,16011,How do you find the second derivative using the chain rule
16012,16012,How do you calculate the confidence measure for an association rule
16013,16013,How much RAM is needed for deep learning
16014,16014,Do we need GPU for deep learning
16015,16015,What makes deep learning deep
16016,16016,What does beta mean in multiple linear regression
16017,16017,Is Beta same as correlation
16018,16018,What do beta values represent
16019,16019,What is parametric test in SPSS
16020,16020,What are the major differences between parametric and nonparametric tests
16021,16021,What is ACF in Arima
16022,16022,How do you identify a sampling frame
16023,16023,What does reinforcement learning mean
16024,16024,What does it mean to normalize a distribution
16025,16025,How do you normalize a distribution function
16026,16026,How do you normalize a data distribution
16027,16027,Why is ReLU popular
16028,16028,What is Sobel edge detection algorithm
16029,16029,Which of the following algorithm is used for object detection
16030,16030,What is Type 2 error in hypothesis testing
16031,16031,How face is detected
16032,16032,What does a cumulative probability density function show
16033,16033,What univariate analysis tells us
16034,16034,Is Random Forest a boosting algorithm
16035,16035,Is Random Forest a linear model
16036,16036,Is Random Forest a binary classifier
16037,16037,How do you find the critical value in hypothesis testing
16038,16038,What is the Turing test for AI
16039,16039,How do you test for artificial intelligence
16040,16040,Which statement is logically equivalent to P → Q
16041,16041,What is logically equivalent to p implies q
16042,16042,How does random forest handle missing values
16043,16043,How do you deal with missing random data
16044,16044,What does it mean if correlation is 0
16045,16045,What does it mean if R 0 quizlet
16046,16046,What does R 0 look like
16047,16047,When R 0 The two regression lines are
16048,16048,How do you calculate the correlation between two variables
16049,16049,What is a regression task
16050,16050,What is FCN network
16051,16051,How do you calculate Frobenius Norm
16052,16052,What is the Frobenius norm of a matrix
16053,16053,What is the spectral norm of a matrix
16054,16054,How do you find the magnitude of a matrix
16055,16055,Do all variables need to be normally distributed in linear regression
16056,16056,Which of the following are the metrics for model evaluation
16057,16057,Which metrics will you use in selecting the best classification model
16058,16058,What is the notation for population variance
16059,16059,What does it mean for a data set to have a normal distribution
16060,16060,Which type of test is the Wilcoxon rank sum test
16061,16061,Is Wilcoxon a test
16062,16062,Which classification algorithm is best
16063,16063,How will you determine the machine learning algorithm that is suitable for your problem
16064,16064,How do you do a causal analysis
16065,16065,How is causal analysis applied in Analysing problems and solutions
16066,16066,How do you read an Anderson Darling normality test
16067,16067,How do you read a normality test
16068,16068,How is Anderson Darling statistic calculated
16069,16069,What is Anderson Darling p value
16070,16070,Can ordinal data be used in regression
16071,16071,Did the estimated regression equation provide a good fit
16072,16072,How do you interpret the coefficient of negative binomial regression
16073,16073,Is SPSS available for Mac
16074,16074,What platforms does TensorFlow Lite support
16075,16075,How do neurons work step by step
16076,16076,How does a neuron function
16077,16077,How does a neuron become activated
16078,16078,What is uncertainty in AI
16079,16079,What is inference in deep learning
16080,16080,What happened to Lee sedol
16081,16081,What is the difference between sample variance and population variance
16082,16082,How do you find the sample variance of differences
16083,16083,Is one metric for evaluating classification models
16084,16084,What is a metric how does it differ from loss
16085,16085,What is loss function in decision tree
16086,16086,Is logistic regression prone to outliers
16087,16087,Does a logistic regression model have a closed form solution
16088,16088,Which type of problems are best for logistic regression
16089,16089,How are distribution and variation important in any statistical study
16090,16090,What is predictor in data mining
16091,16091,How do you generate randomness
16092,16092,What are labels in machine learning
16093,16093,What is the purpose of the discriminant
16094,16094,How do you do dimensional analysis easily
16095,16095,What is difference between recursive and nonrecursive
16096,16096,What does the rank of a matrix mean
16097,16097,How do you know the rank of a matrix
16098,16098,Can a matrix have rank 0
16099,16099,What are the Hyperparameters of decision tree
16100,16100,What is a unigram model
16101,16101,What is unigram distribution
16102,16102,How do you find sample variance and standard deviation
16103,16103,How do you find sample variance on TI 84 Plus
16104,16104,How do you find the sample variance in Excel
16105,16105,How do you choose a prediction model
16106,16106,How do you predict a model
16107,16107,Does converting to Z scores affect the shape of distribution
16108,16108,What effect does standardizing into Z scores have on the shape of the distribution of a variable
16109,16109,What is the shape of a distribution of z scores
16110,16110,How do you read a decision tree in R
16111,16111,How do you calculate survival rate
16112,16112,What is a Type I error in hypothesis testing
16113,16113,What is the definition of Type I error when does it occur How is it related with level of significance explain
16114,16114,What is a feature matrix
16115,16115,Why is mean square error a bad measure of model performance
16116,16116,How do you find the z score for a 96 confidence interval
16117,16117,What is negative entropy in communication
16118,16118,Is the decision boundary of logistic regression linear
16119,16119,How do I know if a linear model is appropriate
16120,16120,What does an r2 value of 0.1 mean
16121,16121,When events A and B are said to be independent What does that mean
16122,16122,What does it mean if events are independent
16123,16123,How do you determine independent and dependent events
16124,16124,What is factorial Anova
16125,16125,Is another name for a factorial Anova
16126,16126,What is localization computer vision
16127,16127,How do I get around Facebook algorithm
16128,16128,What is normalization and standardization in machine learning
16129,16129,What is data science and what is the relationship between data science and statistics
16130,16130,How do statistics relate to data science
16131,16131,What is the derivative of the ReLU function
16132,16132,Is Tanh differentiable
16133,16133,Is Random Forest supervised learning
16134,16134,Is decision tree ensemble learning
16135,16135,What is the interaction effect in a two way Anova
16136,16136,What is FIR and IIR filters
16137,16137,How do I know if my FIR filter is IIR
16138,16138,What does cumulative distribution function show
16139,16139,What is meant by the term cumulative distribution function and how would you apply it example to the concept of discrete probability
16140,16140,What is VAR model in time series
16141,16141,How do you calculate the relative frequency
16142,16142,How do you calculate relative frequency and percentage
16143,16143,Where is Gan used
16144,16144,How do you find the periodic function of Fourier series
16145,16145,Is K nearest neighbor a neural network
16146,16146,How do you interpret R Squared in statistics
16147,16147,Does unsupervised learning needs labeled data for training
16148,16148,Which type of machine learning uses both input and output data to develop predictive models
16149,16149,What is the nonparametric equivalent of a two way Anova
16150,16150,What is difference between local and global features of image
16151,16151,What are low level features of an image
16152,16152,What is random variable in probability
16153,16153,Are robots conscious
16154,16154,Are there neural correlates of consciousness
16155,16155,What are neural networks based on
16156,16156,What is the function of the activation function
16157,16157,What is automatic feature engineering
16158,16158,What makes a Markov chain regular
16159,16159,What are the parametric assumptions
16160,16160,What are the assumptions of Anova
16161,16161,What type of data is a box plot
16162,16162,Do box plots show standard deviation
16163,16163,Do regular Bloom filters support deletion
16164,16164,Which function is used for Bloom filter in FAP
16165,16165,What are 4 possible ways to test a hypothesis
16166,16166,Which one is the application of deep learning
16167,16167,What makes a distribution bimodal
16168,16168,Can decision trees be used for classification tasks Sanfoundry
16169,16169,Is decision tree a classifier
16170,16170,How do you find the hash value of a string
16171,16171,What does hashed value mean
16172,16172,How do you know if an association is linear
16173,16173,How do we determine when a linear model is an appropriate model for a scatterplot
16174,16174,What is the difference between exploratory and explanatory analysis
16175,16175,What is exploratory data analysis explain with an example
16176,16176,What are the measures of location
16177,16177,What is the location of a distribution
16178,16178,Why is anomaly detected
16179,16179,How do you find the joint probability distribution of two random variables
16180,16180,What is feature construction in machine learning
16181,16181,How do you interpret the coefficient of determination
16182,16182,How do you interpret multiple coefficients of determination
16183,16183,How is r2 value calculated
16184,16184,Is time a dependent variable
16185,16185,Is interquartile range the same as range
16186,16186,Is Quartile the same as median
16187,16187,What is Word2Vec algorithm
16188,16188,What is Word2Vec size
16189,16189,How do you find variance of expected return
16190,16190,How do you calculate the expected return and variance of a portfolio
16191,16191,What is return variance
16192,16192,What is 2SLS regression
16193,16193,What is order condition for identification
16194,16194,How do you write the results of descriptive statistics
16195,16195,How do you know if its a binomial distribution
16196,16196,Does random forest use gradient descent
16197,16197,Is Manova the same as factorial Anova
16198,16198,What is IID data
16199,16199,Are returns IID
16200,16200,What is feature in dataset
16201,16201,What is features in machine learning
16202,16202,How do you calculate Bayesian Information Criterion
16203,16203,How are AIC and BIC calculated
16204,16204,What is AIC value in logistic regression
16205,16205,How is threshold value calculated in image processing in Matlab
16206,16206,What is threshold in image segmentation
16207,16207,When would you use K means cluster
16208,16208,How do I know which clustering technique to use
16209,16209,What is normalization layer in CNN
16210,16210,How does DCT compression work
16211,16211,What is DCT in image compression
16212,16212,What is real in the Matrix
16213,16213,Is the real world in the matrix another matrix
16214,16214,What happened to the humans in the Matrix
16215,16215,How does Alpha relate to p value
16216,16216,What is the value of alpha
16217,16217,How is naive Bayes algorithm implemented
16218,16218,How is classification done using Bayes classifier
16219,16219,Why does the naive Bayes classifier tend to work well in practice
16220,16220,What is ranking loss
16221,16221,How do you optimize metadata
16222,16222,How do you optimize tags
16223,16223,What are independent events in probability
16224,16224,What does it mean to be statistically independent
16225,16225,How do you prove something is statistically independent
16226,16226,How do you find intervals on a histogram
16227,16227,What is an interval on a histogram
16228,16228,What makes an artificial neuron
16229,16229,What is performance in machine learning
16230,16230,What is the measure of standard performance for machine learning
16231,16231,How do you measure classification of performance
16232,16232,What is performance measure in artificial intelligence
16233,16233,Why it is called deep learning
16234,16234,What is difference between deep learning and shallow learning
16235,16235,What is latent dimensionality
16236,16236,Is standard normal distribution the same as normal distribution
16237,16237,How is the normal distribution curve related to standard deviation
16238,16238,How is the empirical distribution related to the normal distribution
16239,16239,What is H0 in statistics
16240,16240,Is null hypothesis H0 or Ho
16241,16241,What is TensorFlow algorithm
16242,16242,What is regression effect
16243,16243,What does batch size mean
16244,16244,How do you define a distribution
16245,16245,What is an example of simple random sampling
16246,16246,How do you interpret a correlation matrix in python
16247,16247,How do you calculate error matrix
16248,16248,Can ordinal data be treated as interval data
16249,16249,What does it mean when covariance is negative
16250,16250,Why is it important to examine a residual plot even if a scatter plot appears to be linear
16251,16251,What does a residual plot show us
16252,16252,What is meant by likelihood function
16253,16253,What are the benefits of independent learning
16254,16254,How do you promote autonomous learning
16255,16255,What are the advantages of offline classes
16256,16256,What are the advantages and disadvantages of offline classes
16257,16257,What are the disadvantages of offline classes
16258,16258,Are T scores and Z scores the same
16259,16259,What is the differences similarities between Z and T distributions
16260,16260,Why you should stop using the ROC curve
16261,16261,What is the role of optimizer in neural network
16262,16262,What is epoch and batch size
16263,16263,What does Epoch mean in neural network
16264,16264,What is sample frame example
16265,16265,What is kernel function
16266,16266,What is kernel and types of kernel
16267,16267,What is kernel with example
16268,16268,Why is it called kernel
16269,16269,How does probit work
16270,16270,How do you find probability density function
16271,16271,What is probability density function in statistics
16272,16272,What makes a function a probability density function
16273,16273,How do you find the probability function
16274,16274,What is the difference between supervised machine learning and unsupervised machine learning
16275,16275,What is supervised machine learning
16276,16276,What does sensitivity and specificity of a test mean
16277,16277,What does it mean when a distribution is positively skewed
16278,16278,What does positively skewed data tell you about your mean
16279,16279,Are scores with a mean of 0 and a standard deviation of 1
16280,16280,What is a normal distribution with a mean of 0 and a standard deviation of 1 called
16281,16281,What is 1 standard deviation from the mean
16282,16282,What is PAC learning in machine learning
16283,16283,What is sample complexity in machine learning
16284,16284,What is an example of multitasking
16285,16285,How do you demonstrate multitasking skills
16286,16286,How do you multitask in life
16287,16287,What is model evaluation in machine learning
16288,16288,What are the different approaches of machine learning
16289,16289,How is a field experiment different from a quasi experiment
16290,16290,What kind of distribution is the binomial distribution
16291,16291,What kind of distribution are the binomial and Poisson distributions
16292,16292,What are different types of distribution
16293,16293,What are the degrees of freedom for the F statistic
16294,16294,How do you find the degrees of freedom for an F distribution
16295,16295,What is the degrees of freedom for at test
16296,16296,How do you work out the scale of a histogram
16297,16297,Do we write scale in histogram
16298,16298,What are the differences between forecast measures of accuracy and forecast measures of bias
16299,16299,How do you calculate forecast accuracy and bias
16300,16300,What is bias in forecast accuracy
16301,16301,What does forecast bias mean
16302,16302,How do you represent uniform distribution
16303,16303,What is the application of normal distribution
16304,16304,How do you accept or reject the null hypothesis
16305,16305,What is the null hypothesis for a t test
16306,16306,What does reject the null hypothesis mean
16307,16307,Whats the difference between binomial and geometric
16308,16308,What's the difference between binomial and normal distribution
16309,16309,What percentage constitutes a representative sample
16310,16310,Why should we be concerned about the time complexity of an algorithm
16311,16311,What does the term bias refers in machine learning algorithms
16312,16312,How do you convert a non normal distribution to a standard normal distribution
16313,16313,How do you convert a normal distribution to a standard normal distribution
16314,16314,What is the difference between standard normal distribution and nonstandard normal distribution
16315,16315,What creates a normal distribution
16316,16316,What is cross validation in neural networks
16317,16317,What is the disadvantage of using non standard units of measurement
16318,16318,What are non standard units
16319,16319,Why is classification important in data mining
16320,16320,What does the Bayesian network provides
16321,16321,What is Bayesian network analysis
16322,16322,What are the features of NLP in AI
16323,16323,What are the input and output of NLP system
16324,16324,What is joint probability formula
16325,16325,What is the joint probability of two independent events
16326,16326,Is decision tree supervised or unsupervised
16327,16327,What is the difference between union and intersection
16328,16328,What does ∩ mean in statistics
16329,16329,Is school culture a hidden curriculum
16330,16330,How does the hidden curriculum affect students
16331,16331,What are the disadvantages of hidden curriculum
16332,16332,What is hidden or implicit curriculum
16333,16333,What is CNN algorithm
16334,16334,Why CNN algorithm is used
16335,16335,How does increasing the sample size affect the sampling error
16336,16336,What happens to T when sample size increases
16337,16337,Why do we use structural equation modeling
16338,16338,What is the coefficient in logistic regression
16339,16339,What does a negative beta coefficient mean in regression analysis
16340,16340,Which algorithm is best for text classification
16341,16341,How do I compress a TensorFlow model
16342,16342,How do I optimize a TensorFlow model
16343,16343,What is quantized model
16344,16344,What is quantization TensorFlow
16345,16345,What is a covariate
16346,16346,What are false positives and false negatives
16347,16347,What does sensitivity and specificity tell you
16348,16348,What is mean by blended learning
16349,16349,What is an example of blended learning
16350,16350,How do you calculate the population variance
16351,16351,What is the difference between the normal distribution and the t distribution
16352,16352,What is the difference between a model parameter and a learning algorithm's Hyperparameter
16353,16353,What is meant by hyper parameters
16354,16354,How do you become a deep learning model
16355,16355,How is beta diversity calculated
16356,16356,How is alpha diversity measured
16357,16357,What is the difference between Type 1 and Type 2 errors
16358,16358,Which is better Knn or decision tree
16359,16359,How do you know if something is independent or dependent probability
16360,16360,How do you test for independence
16361,16361,Can you use divergence test on alternating series
16362,16362,When can the alternating series test be used
16363,16363,What is histogram stretching in image processing
16364,16364,How do you identify a stock chart pattern
16365,16365,What type of model is a decision tree
16366,16366,Are decision trees linear models
16367,16367,How do you normalize data in a Neural Network
16368,16368,Is normalization necessary for neural networks
16369,16369,What is Time series analysis in data science
16370,16370,How does machine learning deal with time series data
16371,16371,Why do we use learning rate
16372,16372,What is Softmax function in deep learning
16373,16373,What is Softmax in TensorFlow
16374,16374,What are some examples of AI in use
16375,16375,What is considered skewed data
16376,16376,What are the types of skewed data
16377,16377,What is right skewed data
16378,16378,What is multinomial regression and a choice model
16379,16379,What is the purpose of message queue
16380,16380,What are the types of time series analysis
16381,16381,What is time series regression analysis
16382,16382,How does AI help sustainable development
16383,16383,How AI can enable a sustainable future
16384,16384,What does interquartile mean
16385,16385,What is the difference between J curve and S curve
16386,16386,What is J shaped curve
16387,16387,Why would you use a linear model
16388,16388,Why do adversarial examples exist
16389,16389,Which of these are examples of adversarial attacks on an AI system
16390,16390,How does adversarial attack work
16391,16391,What is adversarial AI
16392,16392,How do you find probability with frequency
16393,16393,What is the define of frequency
16394,16394,How do you pronounce LDA
16395,16395,What is the use of data structure in real life
16396,16396,Which data structure is used when
16397,16397,Why is it good to use data structures in the main
16398,16398,What is probability and statistics in math
16399,16399,What grade level is statistics and probability
16400,16400,How do you know when to use geometric or binomial
16401,16401,How do you find the mode of a geometric distribution
16402,16402,What is a geometric random sample
16403,16403,What do we mean by multimodal
16404,16404,What does multimodal mean in writing
16405,16405,What are the types of multimodal text
16406,16406,What are data preprocessing techniques
16407,16407,What is the difference between correlation and relation
16408,16408,How do you do multiple logistic regression in Excel
16409,16409,How do you calculate multiple logistic regression in SPSS
16410,16410,What is N grams in NLP
16411,16411,Why do we calculate relative frequency
16412,16412,What is meant by exogenous variable
16413,16413,What is the formula of Graham's law of diffusion
16414,16414,What does NMF stand for
16415,16415,What is model calibration in machine learning
16416,16416,How is predictive analytics different
16417,16417,What is the range of linear activation function
16418,16418,What is EZ Flash GBA
16419,16419,How do I use EZ Update
16420,16420,What are features in neural network
16421,16421,What does reactive work mean
16422,16422,What is DFS and BFS algorithm
16423,16423,What is DFS in algorithm
16424,16424,What is BFS algorithm example
16425,16425,How are two sided and confidence intervals hypothesis related
16426,16426,When should a hypothesis test be used over a confidence interval
16427,16427,Do confidence intervals give more information than hypothesis tests
16428,16428,What happens to the shape of the sampling distribution as sample size increases
16429,16429,What does the shape of the T distribution depend on
16430,16430,How does the shape of the T distribution compare to the normal distribution
16431,16431,What is multinomial data
16432,16432,What algorithm does spacy use
16433,16433,How does spacy ner model work
16434,16434,What is batch reinforcement learning
16435,16435,How does GAN network work
16436,16436,How do you calculate stratified random sampling
16437,16437,How do you stratify a population
16438,16438,What is proportionate stratified random sampling
16439,16439,Which clustering algorithm is more suitable for non convex data
16440,16440,What are the steps of association rule mining
16441,16441,What is Q learning used for
16442,16442,What is T score used for
16443,16443,What is an advantage of T scores over z scores
16444,16444,What does activation function do in CNN
16445,16445,How does a principal component analysis work
16446,16446,What is the normal probability distribution
16447,16447,What is cosine similarity in information retrieval
16448,16448,How is kappa value calculated
16449,16449,What is defined by membership function
16450,16450,What is fuzzy membership
16451,16451,What is Gaussian membership function in fuzzy logic
16452,16452,What is meant by density function
16453,16453,How do you control a variable in regression
16454,16454,How do you adjust variables in SPSS
16455,16455,What is the area under the curve between Z
16456,16456,What is the area under the normal curve to the right of Z
16457,16457,How do you find the area under a normal distribution curve
16458,16458,How do you find the area between two z values
16459,16459,What are convolutions in CNN
16460,16460,How do you find the marginal distribution of a joint distribution
16461,16461,What is joint and marginal distribution
16462,16462,What is the sample mean
16463,16463,What is the probability that the mean of a random sample
16464,16464,Should the dependent variable be normally distributed
16465,16465,What is disproportionate stratified sampling
16466,16466,What is the advantage of stratified sampling
16467,16467,How is CNN implemented
16468,16468,How do you increase image classification accuracy on CNN
16469,16469,Where can I practice data structures and algorithms
16470,16470,What is precision in logistic regression
16471,16471,What is precision and recall curve
16472,16472,What is the difference between a null hypothesis and a research hypothesis
16473,16473,Why is acquisition more important than learning
16474,16474,How many respondents do you need to be statistically significant
16475,16475,How many observations are needed for statistical significance
16476,16476,How do you differentiate fxy
16477,16477,What is the partial derivative of XY
16478,16478,How is the rejection region defined and how is that related to the P value
16479,16479,What is the relationship between T statistic and p value
16480,16480,What is the difference between SE and SD
16481,16481,Do you use standard deviation or standard error for error bars
16482,16482,When would I use a standard error instead of a standard deviation
16483,16483,Are X and Y independent explain
16484,16484,Where is a sampling distribution centered
16485,16485,What is bootstrap distribution
16486,16486,How are bootstrap distributions and randomization distributions different
16487,16487,What is a uniform random number
16488,16488,What does NP random permutation do
16489,16489,What is NP random
16490,16490,What are eigenvalues of a matrix
16491,16491,How do you find eigenvectors and eigenvalues of a matrix
16492,16492,What is the importance of probability
16493,16493,What is the significance of the mean of probability distribution
16494,16494,Which statement is an example of a null hypothesis
16495,16495,What does the null hypothesis mean
16496,16496,How do you perform a conjoint analysis
16497,16497,What if training accuracy is low and testing accuracy is high
16498,16498,What is training error and testing error
16499,16499,What do you mean by feature vector
16500,16500,What does vectorization mean
16501,16501,What are the four primary assumptions of multiple linear regression
16502,16502,Where neural networks are used
16503,16503,What are neural networks in the brain
16504,16504,What is classification in data mining
16505,16505,How does Kmeans algorithm work
16506,16506,What K means
16507,16507,How do you find the median of a histogram
16508,16508,How do you find the mean median and mode on a histogram
16509,16509,What is mean and median in histogram
16510,16510,What is the purpose of inferential statistics quizlet
16511,16511,What is the meaning of inferential statistics
16512,16512,How many different outcomes are possible after rolling all six dice
16513,16513,What is the probability to get a 6 when you roll a die
16514,16514,What does high variance mean
16515,16515,Is data science and data mining same
16516,16516,Are all neural networks deep learning
16517,16517,Are normal distributions continuous or discrete
16518,16518,What are the algorithm used for sentiment analysis
16519,16519,What methods can be used for sentiment analysis
16520,16520,Can we use SVM to classify non linearly separable data
16521,16521,What are the function of an agent
16522,16522,Why is fuzzy set
16523,16523,What is fuzzy method
16524,16524,What does L2 norm mean
16525,16525,What is the L2 norm of a vector
16526,16526,Why is L2 better than L1
16527,16527,What is the difference between L1 L2 regularization
16528,16528,What are feature values
16529,16529,What does gamma value mean
16530,16530,What is gamma correlation
16531,16531,What does a negative gamma mean statistics
16532,16532,What is the difference between Skip gram and continuous bag of words CBOW in the word2vec model
16533,16533,What is bag of words model in NLP
16534,16534,What is K in logistic equation
16535,16535,Who defeated AlphaGo
16536,16536,Did Lee sedol beat AlphaGo
16537,16537,When did AlphaGo beat human
16538,16538,What is the meaning of systematic sampling
16539,16539,What is the difference between random sampling and purposive sampling
16540,16540,Why do we use mean square error
16541,16541,What is a machine learning Pipeline
16542,16542,Why are activation functions used
16543,16543,Is Anova a linear mixed model
16544,16544,What is a mixed effects Anova
16545,16545,How do you find the proportion in statistics
16546,16546,How do you compare proportions statistically
16547,16547,Can you use at test for proportions
16548,16548,How do you do a one sample proportion test
16549,16549,What is the opposite of descriptive statistics
16550,16550,What are the primary advantages of using descriptive statistics
16551,16551,What are the different types of classifiers in ASL
16552,16552,What are the different classification techniques
16553,16553,What does a box plot tell us
16554,16554,How do you examine a box plot
16555,16555,How do you use systematic sampling
16556,16556,When should sampling be used
16557,16557,What is a frequency spectrum plot
16558,16558,What is frequency spectrum and bandwidth
16559,16559,Why is logistic regression only used for binary classification
16560,16560,Why ReLU is non linear
16561,16561,How does bias affect data
16562,16562,How does bias affect data collection
16563,16563,What is structural equation modeling
16564,16564,What is entropy in one word
16565,16565,What is entropy and enthalpy
16566,16566,Why are ensemble methods superior to individual models Mcq
16567,16567,How do you tell if a difference is statistically significant
16568,16568,How do you determine if a study is statistically significant
16569,16569,What does marginal effect mean
16570,16570,Is reinforcement learning part of machine learning
16571,16571,What percentage of scores fall within 1 standard deviation SD of the mean
16572,16572,How do you find the percentage of a score within the standard deviation
16573,16573,What percentile is 1 standard deviation above the mean
16574,16574,What can cause a false positive
16575,16575,What are the limitations of time series analysis
16576,16576,What are the applications of time series analysis in real field
16577,16577,Can you do structural equation modeling in SPSS
16578,16578,Why is an estimator unbiased
16579,16579,How do you find the eigenvector of a covariance matrix
16580,16580,Why do we use eigenvectors in covariance matrix
16581,16581,Is dimensional analysis the same as stoichiometry
16582,16582,How do you test conceptual understanding
16583,16583,How do you understand a topic
16584,16584,What does Π mean in statistics
16585,16585,What is the big pi symbol
16586,16586,What are different types of activation function
16587,16587,What are the types of neural network architecture
16588,16588,What is neural network explain in detail
16589,16589,What is the assumption of error in linear regression
16590,16590,What is a training dataset
16591,16591,What is the range in statistic
16592,16592,What is true error in machine learning
16593,16593,What is classification error rate
16594,16594,What is Bayes theorem in machine learning
16595,16595,What is Bayes theorem how is it useful in a machine learning context
16596,16596,How do you remember the confusion matrix
16597,16597,What does gradient of a vector field mean
16598,16598,How do you find the gradient of a vector
16599,16599,Can vectors have gradients
16600,16600,What are the applications of learning curve
16601,16601,What does 80 learning curve mean
16602,16602,What is denying the antecedent in philosophy
16603,16603,Which of the following tests is used to analyze nominal data
16604,16604,Is Chi Square used for nominal data
16605,16605,How does machine learning deal with imbalanced classes
16606,16606,What is difference between variance and standard deviation
16607,16607,Should I use variance or standard deviation
16608,16608,How do you calculate exponential smoothing
16609,16609,What is the exponential smoothing method
16610,16610,How do you find the alpha exponential smoothing
16611,16611,What exponential smoothing tells us
16612,16612,What is ground truth in image processing
16613,16613,What is ground truth in machine learning
16614,16614,How difficult is deep learning
16615,16615,What kind of classifier is K nearest neighbor
16616,16616,What is a utility based agent and how is it different from goal based agents
16617,16617,What is goal based agent in artificial intelligence
16618,16618,What is segmentation in statistics
16619,16619,Where the hidden Markov model is used
16620,16620,What is sampling and why is it important
16621,16621,What is alpha stage of mind
16622,16622,How do I get to the alpha state of mind
16623,16623,What does alpha state mean
16624,16624,What happens to the critical value for a chi square test if the size of the sample is increased
16625,16625,Is standard deviation a measure of central tendency
16626,16626,What is the difference between measure of central tendency and measure of dispersion
16627,16627,What measure of central tendency do you use with standard deviation
16628,16628,What is the difference between the various measures of central tendency
16629,16629,What can cause a false positive result
16630,16630,How do you calculate the mean square
16631,16631,How is MSE accuracy calculated
16632,16632,What is temporal model
16633,16633,What is the relation between probability and normal distribution
16634,16634,What is the probability of normal distribution
16635,16635,How do you find the mean of a normal probability distribution
16636,16636,How weka is used in machine learning
16637,16637,Does regression require normally distributed data
16638,16638,Is linear regression normal distribution
16639,16639,What are the disadvantages of probability sampling
16640,16640,What are the advantages of non random sampling
16641,16641,What is the difference between a relative frequency table and a frequency table
16642,16642,What is a no correlation graph
16643,16643,What does it mean if a scatter plot has no association
16644,16644,What does a nonlinear scatter plot look like
16645,16645,How do you describe a scatter plot
16646,16646,How does learning rate affect the gradient descent learning process
16647,16647,Can you make a decision tree in Word
16648,16648,Can standard deviation be used on skewed data
16649,16649,How does skew affect mean
16650,16650,What factors affect standard deviation
16651,16651,How do you get model weights in keras
16652,16652,How does a multilingual brain work
16653,16653,How do you explain moderation
16654,16654,What does an interaction effect mean
16655,16655,Which technique is used in deep learning
16656,16656,What is linear regression modeling
16657,16657,Is SVM a statistical model
16658,16658,How does an inference work
16659,16659,What is Random Forest algorithm used for
16660,16660,What's the difference between moving average and exponential smoothing
16661,16661,Why is a decision tree better than a random forest
16662,16662,Can decision trees be better than random forest
16663,16663,Why is decision tree good
16664,16664,How is the p value related to the critical value
16665,16665,How is optimism bias avoided
16666,16666,What is difference between subquery and correlated subquery
16667,16667,Where is the mean located
16668,16668,Is the mean close to the median
16669,16669,What is intra observer
16670,16670,Is local search greedy
16671,16671,What is AO * algorithm in artificial intelligence
16672,16672,What is cluster random sampling
16673,16673,Is wage a discrete variable
16674,16674,Is Money discrete data or continuous data
16675,16675,What is the difference between Z and T confidence intervals
16676,16676,What are the types of parametric test
16677,16677,Is an Anova a parametric test
16678,16678,Which is non parametric test
16679,16679,How do you reduce RMSE in regression
16680,16680,What is the difference between regression analysis and Anova
16681,16681,How do we calculate the estimated variance
16682,16682,What is the difference between local and global optimization
16683,16683,What is local optimal solution
16684,16684,How can you encourage active learning
16685,16685,What are active learning techniques
16686,16686,What does it mean to be normally distributed
16687,16687,How do you calculate multiple correlation
16688,16688,How do you calculate correlation in R
16689,16689,What is the multiple correlation coefficient
16690,16690,What is clustering in data analytics
16691,16691,What is a cluster variable
16692,16692,What does the P value associated with a chi square value indicate about the results of a cross
16693,16693,What does P value indicate in regression
16694,16694,How do you calculate binomial probability
16695,16695,How do you use Anova formula
16696,16696,How do you calculate rejection region
16697,16697,How do you find the critical region of a two tailed test
16698,16698,Why do we calculate harmonic mean
16699,16699,What does F score mean
16700,16700,What is the product rule of probability
16701,16701,Is ridge regression sensitive to outliers
16702,16702,How do you explain logarithmic scales
16703,16703,What is the difference between a linear and logarithmic scale
16704,16704,What does a logarithmic look like
16705,16705,What is a systematic sampling method
16706,16706,What are the limits of descriptive statistics
16707,16707,What are descriptive statistics used for
16708,16708,How do you summarize descriptive statistics
16709,16709,What is action communication model
16710,16710,How many machine learning algorithms are there
16711,16711,What is a confusion matrix and how does it look like
16712,16712,How do you reduce bias in decision making
16713,16713,Which are the three steps to get around confirmation bias
16714,16714,How do you find the standard deviation of the difference between two sets of data
16715,16715,What is the formula for the standard deviation of the sample means
16716,16716,What is the advantage of using regression analysis
16717,16717,What kind of technology is artificial intelligence
16718,16718,Is AI a recent technology
16719,16719,What is the difference between artificial intelligence and technology
16720,16720,How can you tell if two samples are the same population
16721,16721,What is the null hypothesis for a 2 sample t test
16722,16722,What is a two sample z test
16723,16723,Which algorithm is best for face detection
16724,16724,What are the characteristics of PI controller
16725,16725,What is the difference between PI and PID controller
16726,16726,How is PI controller implemented
16727,16727,What will happen when you fit degree 2 polynomial in linear regression
16728,16728,How do you implement a time series forecasting model
16729,16729,How do you describe a categorical variable
16730,16730,How can you tell if data is categorical
16731,16731,How do you calculate ROC curve
16732,16732,What does an ROC curve tell you
16733,16733,How do you find the best threshold on a ROC curve
16734,16734,What is a good AUC ROC score
16735,16735,What defines a Markov chain
16736,16736,What is difference between R and r2
16737,16737,What does coefficient of determination mean
16738,16738,Is coefficient of determination the same as R 2
16739,16739,What Makes a probability dependent
16740,16740,How do you know if probability is independent
16741,16741,When the random variable X and Y are independent It's covariance is
16742,16742,What is the covariance of a random variable X with itself
16743,16743,Why is covariance 0 for independent
16744,16744,What is average uncertainty
16745,16745,What happens to uncertainty when you multiply
16746,16746,How does uncertainty affect the results of an experiment
16747,16747,What determines the uncertainty of a measurement
16748,16748,What is Mamdani fuzzy model
16749,16749,What is the fuzzy inference system
16750,16750,Why we use Mamdani model in fuzzy system explain the reason
16751,16751,How does a neuro fuzzy inference system work
16752,16752,How is the Apriori property used in the algorithm
16753,16753,How the association rules are mined from databases
16754,16754,Where are neurons
16755,16755,What is TP FP
16756,16756,How is FP rate calculated
16757,16757,Which algorithm gives best performance
16758,16758,Which sorting algorithms have same best and worst case
16759,16759,What does ROC stand for
16760,16760,How do I calculate ROC
16761,16761,How do you explain accuracy and precision
16762,16762,What is data precision
16763,16763,What does a linear regression model tell you
16764,16764,What is continuous time Fourier transform
16765,16765,What functions can be represented by a Fourier series
16766,16766,How do you read a Tensorboard histogram
16767,16767,How do you use a keras Tensorboard
16768,16768,What is the criterion variable in regression
16769,16769,What does Coefficient of Variation tell you
16770,16770,Why are disjoint events not independent
16771,16771,When two events are disjoint they are also independent True or false
16772,16772,What are the important characteristics of a control strategy in artificial intelligence
16773,16773,What are the requirements of a good control strategy in AI
16774,16774,How do generative models work
16775,16775,How do you validate a classification model
16776,16776,What do factor loadings mean
16777,16777,What is semi structured and unstructured data
16778,16778,What is the formula of median even
16779,16779,What is homogeneous or heterogeneous data sources
16780,16780,Are correlated variables independent
16781,16781,What is the difference between correlation and dependence
16782,16782,What is handwriting recognition used for
16783,16783,What are consequences of using OLS in the presence of heteroscedasticity
16784,16784,What is multinomial variable
16785,16785,What is a target variable in machine learning
16786,16786,Do we scale the target variable
16787,16787,How many types of target values are used
16788,16788,What are forecasting models
16789,16789,What are forecasting models and why these models are used
16790,16790,What type of data is useful for forecasting
16791,16791,What is the formula for discrete random variable
16792,16792,How do you determine if a random variable is discrete or continuous
16793,16793,When X and Y are statistically independent then x Y is
16794,16794,Why is logistic regression called regression
16795,16795,Is logistic regression unsupervised
16796,16796,What does the linear regression line tell you
16797,16797,What is residual in simple linear regression
16798,16798,How do you get rid of bias in an experiment
16799,16799,What is the difference between logistic regression and random forest
16800,16800,Can validation loss be less than training loss
16801,16801,How do you work out relative frequency in maths
16802,16802,What are the basic laws of probability
16803,16803,What are the three definitions of probability
16804,16804,What are neurons in AI
16805,16805,What is neurons in machine learning
16806,16806,What is a neuron in a convolutional neural network
16807,16807,Why was Ai created
16808,16808,What does training a dataset mean
16809,16809,How do you train a data set
16810,16810,What is NLP sentiment analysis
16811,16811,What is a class interval in a frequency table
16812,16812,How do you find the class interval on a histogram
16813,16813,What is the need of dimensionality reduction
16814,16814,Why is data reduction necessary
16815,16815,How do you find the singular value decomposition of a matrix
16816,16816,Why LDA is used
16817,16817,How long does it take to learn big data
16818,16818,Is 0.5 A good correlation coefficient
16819,16819,Which lexicon is used in sentiment analysis
16820,16820,How do you solve algorithm questions
16821,16821,What is coefficient value in regression
16822,16822,What is minimum variance
16823,16823,How do you find the uniformly minimum variance of an unbiased estimator
16824,16824,Is a minimum variance unbiased point estimate of the mean of a normally distributed population
16825,16825,Is Chi square a correlation test
16826,16826,What is the value of kurtosis of a normal distribution
16827,16827,What is kurtosis of a distribution
16828,16828,How do you find the kurtosis of a normal distribution
16829,16829,What is latent semantic indexing keywords
16830,16830,What is an LSI keyword
16831,16831,How do you find the left and right of a chi square test
16832,16832,What is the mean of chi square distribution
16833,16833,What is the meaning of asymptotic
16834,16834,What does asymptotic mean in statistics
16835,16835,Why is it called asymptotic analysis
16836,16836,Why do we need a statistical model
16837,16837,How do you know what statistical model to use
16838,16838,What is the purpose of using statistical analysis
16839,16839,What does standard error mean tell us
16840,16840,What does standard error of the mean indicate about your data
16841,16841,Is SVM used for regression
16842,16842,When should logistic regression be used
16843,16843,What is logistic regression analysis used for
16844,16844,What is relative frequency used for
16845,16845,When might it be beneficial to use relative rather than absolute frequencies
16846,16846,How is quartile related to quantile
16847,16847,What is the formula of quantile
16848,16848,How randomized algorithms are different than deterministic algorithms
16849,16849,Which of the following can be referred to as applications of randomized algorithm
16850,16850,What is meant by deep learning algorithms
16851,16851,What is evolutionary learning in machine learning
16852,16852,What does the variance mean in statistics
16853,16853,What is the difference between training and test sets performance
16854,16854,What is training and testing data in machine learning
16855,16855,What is distance based clustering
16856,16856,How do you construct a distance matrix
16857,16857,How do you visualize multivariate data
16858,16858,What is multivariate data visualization
16859,16859,Which plot helps in multivariate analysis
16860,16860,What is a multivariate plot
16861,16861,What is the role of momentum in finding the global minima
16862,16862,What is geometric mean in statistics
16863,16863,What is a harmonic mean in statistics
16864,16864,What is confounder in a statistical study
16865,16865,What is a confounding variable in statistics
16866,16866,What is definition of likelihood
16867,16867,How do you use likelihood
16868,16868,What is likelihood in risk management
16869,16869,What is tensor quantity with example
16870,16870,What is the difference between artificial intelligence and neural networks
16871,16871,What do regression coefficients tell us
16872,16872,What is binomial give example
16873,16873,What is a binomial expression
16874,16874,Is 2x a binomial
16875,16875,What is the meaning of discrete distribution
16876,16876,How do you find eigenvalues in factor analysis
16877,16877,What does collaborative filtering mean
16878,16878,What is a good sample size for a study
16879,16879,How do I make sure a sample is representative
16880,16880,Why is it important to choose a representative sample of the population
16881,16881,What is backwards regression
16882,16882,What is the difference between the two types of hypothesis
16883,16883,What does non response mean
16884,16884,How can ML models improve performance
16885,16885,What techniques are used for data mining
16886,16886,What are data mining technologies
16887,16887,What is data mining and types of data mining
16888,16888,What is y bar in statistics
16889,16889,What is Y in regression
16890,16890,What is artificial intelligence in computer
16891,16891,What is AI with example
16892,16892,What is the purpose of AI
16893,16893,What does Lambda mean in probability
16894,16894,What is an output layer
16895,16895,How does random forest handle Overfitting
16896,16896,What is stratified non random sampling
16897,16897,What do you mean by stratified sampling
16898,16898,What is Nonprobability sampling method
16899,16899,What is residual in machine learning
16900,16900,What is meant by hashing
16901,16901,What is hashing and its uses
16902,16902,What is hashing explain different types of hashing
16903,16903,How can I improve my Knn performance
16904,16904,What is the K value in Knn
16905,16905,What value of k in KNN method will give the best accuracy for leave one out cross validation
16906,16906,What happens to a K NN model as you increase the value of K
16907,16907,What is logically equivalent to P and Q
16908,16908,When can unlabeled data improve the learning rate
16909,16909,What is agent and its types in artificial intelligence
16910,16910,What is population and sample in statistics
16911,16911,What does population mean in data
16912,16912,What is the difference between sampling error and non sampling error
16913,16913,What are sampling and non sampling errors Class 11
16914,16914,What are sampling and non sampling errors which error is more serious and why
16915,16915,How do you find the alpha and confidence level
16916,16916,What is the alpha value in statistics
16917,16917,How do you find alpha and beta in statistics
16918,16918,What is data structure discuss the different types of data structure
16919,16919,How do you prove a series is divergent
16920,16920,What does it mean if a series diverges
16921,16921,What is parametric survival model
16922,16922,What does semi parametric mean
16923,16923,How do you do sampling rejection
16924,16924,Why Clustering is unsupervised learning
16925,16925,Should data be scaled before clustering
16926,16926,How do you find the variance of continuous data
16927,16927,How do you find the variance of a continuous random variable
16928,16928,How do you find the mean of a continuous probability distribution
16929,16929,What can you do with reinforcement learning
16930,16930,How do you find moving averages
16931,16931,What generalization means
16932,16932,What does image classification do
16933,16933,How does image classification increase accuracy
16934,16934,What is the role of neural networks in predictive analytics
16935,16935,What kind of real world problems can neural networks solve
16936,16936,How do I get started with artificial intelligence
16937,16937,Where can I learn AI
16938,16938,How deep should a neural network be
16939,16939,Is Quantum AI legit
16940,16940,What is hog in machine learning
16941,16941,What is the main difference between analysis or analytics and machine learning & AI
16942,16942,What is the difference between data analytics vs data mining
16943,16943,What is the difference between data analytics vs data mining please provide an example of how each is used
16944,16944,What is filter based feature selection
16945,16945,What is bagging ML
16946,16946,What is a bagging technique
16947,16947,What is bagging and boosting in ML
16948,16948,How do you calculate regression coefficients
16949,16949,What is regression equation with example
16950,16950,Is r2 The regression coefficient
16951,16951,How many types of statistical inferences are there
16952,16952,What are the 2 major areas of statistics
16953,16953,Why is standard deviation used instead of mean deviation
16954,16954,Why is standard deviation better than the mean
16955,16955,Why do we use standard deviation
16956,16956,Why do you need Confusion Matrix
16957,16957,What is confusion matrix and why it is used
16958,16958,What role does confirmation bias play in stereotyping quizlet
16959,16959,What is confirmation bias and why is it important
16960,16960,What is a bin value
16961,16961,What is supervised and unsupervised learning explain with example
16962,16962,What do you mean by pseudo random number generation
16963,16963,What Can expert systems do
16964,16964,What does loss mean in Tensorflow
16965,16965,How do you find the median of a 6 set of data
16966,16966,What is the formula to find the median
16967,16967,How do I pass data between two view controllers
16968,16968,How do I transfer data from one view controller to another
16969,16969,How do you pass data from one view controller to another in Objective C
16970,16970,What are the two functions used in neural network's activation functions
16971,16971,How do you interpret Kappa coefficient
16972,16972,How KNN is different from K means clustering
16973,16973,What is concatenation in neural network
16974,16974,How do you find the probability of a discrete random variable
16975,16975,What is the formula for the variance of a discrete random variable
16976,16976,What is the interpretation of the mean of a discrete random variable
16977,16977,Is Poisson distribution parametric
16978,16978,What constitutes disparate treatment
16979,16979,What is linear activation function
16980,16980,What is scaling in clustering
16981,16981,What does it mean if X and Y have a positive correlation
16982,16982,What does a positive linear relationship mean
16983,16983,What is a linear relationship between X and Y
16984,16984,What is a baseline in machine learning
16985,16985,What is the geometric mean used for
16986,16986,Which chi square distribution looks the most like a normal distribution Mcq
16987,16987,How many degrees of freedom will make a chi square distribution look like normal distribution
16988,16988,How do you find the moment of a distribution
16989,16989,What is the meaning of moment in statistics
16990,16990,What is batch processing in data processing
16991,16991,What are the types of artificial neural networks
16992,16992,What are the applications of artificial neural network
16993,16993,How AI can be used in neural network
16994,16994,How do you calculate bounding box
16995,16995,What is the PDF of exponential distribution
16996,16996,What is the pdf of a normal distribution
16997,16997,What are the most popular algorithms of machine learning
16998,16998,When can a variable be controlled
16999,16999,How do you find the uncorrelated stock
17000,17000,What is correlation risk
17001,17001,What are Embeddings in deep learning
17002,17002,How does a factorial work
17003,17003,What is meant by learning curve
17004,17004,Why is it important to randomly assign participants
17005,17005,How do you randomize participants in a study
17006,17006,What is randomization in a study
17007,17007,Why is it important to use random assignment when determining which research participants will comprise
17008,17008,What is Poisson distribution
17009,17009,What is the importance of Poisson distribution
17010,17010,How is cosine similarity calculated
17011,17011,Is Kelvin an interval scale
17012,17012,Is year a ratio or interval
17013,17013,How do you evaluate LDA model
17014,17014,What is learning rate in GBM
17015,17015,What is the distribution of a discrete random variable
17016,17016,Are normal distributions discrete or continuous
17017,17017,What variables are normally distributed
17018,17018,Why are random variables normally distributed
17019,17019,What does the sampling distribution of sample mean approaches normal distribution
17020,17020,What is normal PDF and CDF
17021,17021,What is PDF in statistics
17022,17022,What is the PDF of a uniform distribution
17023,17023,How does selection bias affect validity
17024,17024,What is the purpose of ridge regression
17025,17025,What is the purpose of an independent variable in regression analysis
17026,17026,What is considered an independent variable
17027,17027,How do you find the dependent variable in regression
17028,17028,Why do we calculate confidence intervals
17029,17029,What machine learning can and can't do
17030,17030,What can deep learning do that traditional machine learning methods Cannot
17031,17031,Why is logistic regression slower than naive Bayes
17032,17032,What is normal range in statistics
17033,17033,What does in range mean
17034,17034,What is the difference between accuracy precision and error
17035,17035,Why is it important to know the difference between accuracy and precision
17036,17036,What is Arch model in time series
17037,17037,What is meant by Eigenfunction
17038,17038,How do you find the eigenvalue of an operator
17039,17039,What is an estimated regression line
17040,17040,Why is the median more appropriate than the mean
17041,17041,Is the median robust
17042,17042,Why is the median more resistant to outliers
17043,17043,Why is it important to learn about accuracy
17044,17044,Why does accuracy matter
17045,17045,What is homogeneity of variance Why is it important
17046,17046,What is normality and homogeneity of variance
17047,17047,How do you find the Q statistic
17048,17048,Why is Tukey's HSD calculated
17049,17049,What do eigenvalues mean in PCA
17050,17050,What is eigenvalue analysis
17051,17051,What is the purpose of eigenvalues
17052,17052,How does the Poisson distribution work
17053,17053,How are the mean and standard deviation related
17054,17054,Is standard deviation calculated using the mean
17055,17055,What does the weighted average mean
17056,17056,How do you find the weighted mean of grouped data
17057,17057,What is the correlation between principal components
17058,17058,Can artificial intelligence be biased
17059,17059,How can machine learning prevent bias
17060,17060,How do you tell if there is an association between two categorical variables
17061,17061,What are the 2 types of categorical variables
17062,17062,What is back up and its benefit
17063,17063,What is meant by random processes
17064,17064,How does a decision tree Overfit
17065,17065,Which are the parameters to control overfitting in decision trees
17066,17066,Which R command creates a 2 by 2 matrix
17067,17067,Can two matrices be multiplied
17068,17068,How do you write a matrix in R
17069,17069,How do you multiply matrices using matrices
17070,17070,What is the product of two matrices
17071,17071,How do you multiply a matrix by a vector
17072,17072,What factors affect confidence interval
17073,17073,What specifically does the confidence level of a confidence interval represent
17074,17074,Why would someone use a confidence interval
17075,17075,What is the confidence level in a confidence interval
17076,17076,What is the relationship between confidence intervals and hypothesis testing
17077,17077,What is the difference between a priori knowledge and a posteriori knowledge
17078,17078,What does the standard error tell you
17079,17079,What does the standard error of estimate see measure
17080,17080,What does Standard Error say about data
17081,17081,How do I read a correspondence map
17082,17082,How do you analyze in SPSS
17083,17083,What are the branches of machine learning
17084,17084,What are the basics of machine learning
17085,17085,What binomial means
17086,17086,What is a binomial variable in statistics
17087,17087,How do you interpret a binomial coefficient
17088,17088,What is coefficient in binomial theorem
17089,17089,Why are binomial coefficients combinations
17090,17090,What is binomial coefficient table
17091,17091,What is the use of neural network in machine learning
17092,17092,How do data and algorithms have human bias
17093,17093,What is biasing in machine learning
17094,17094,What is data bias
17095,17095,How do you find the maximum value of a two variable function
17096,17096,How do you find the maxima and minima of a two variable function
17097,17097,How do you calculate global maximum and minimum multivariable
17098,17098,How many variables are in a function
17099,17099,What is a multivariate function
17100,17100,What are the functions of variables
17101,17101,How do you solve a multivariable function
17102,17102,How do you find the domain of a function with two variables
17103,17103,What is the difference between PRF and SRF
17104,17104,What is the population regression function
17105,17105,Is time series supervised learning
17106,17106,What type of data is time series
17107,17107,Is Arima deep learning
17108,17108,Is time series regression a forecasting method
17109,17109,Why is time series an effective tool of forecasting
17110,17110,What are the parameters of negative binomial
17111,17111,What does a two way Anova tell us
17112,17112,What do confidence intervals show
17113,17113,What is a confidence interval and how do you interpret it
17114,17114,What does a machine learning algorithm do
17115,17115,How are algorithms used in machine learning
17116,17116,How do you read machine learning algorithms
17117,17117,How is Heteroscedasticity determined in regression model
17118,17118,What is the importance of coefficient of variation
17119,17119,What is a good coefficient of variance
17120,17120,What is the primary advantage of the coefficient of variation
17121,17121,How do I calculate the coefficient of variation
17122,17122,How do you calculate COV
17123,17123,What is a complex sample
17124,17124,What is meant by systematic random sampling
17125,17125,Why do we use systematic sampling
17126,17126,What is the formula for probability of an event
17127,17127,What is the formula for probability of A or B
17128,17128,Can at test be two tailed
17129,17129,What is the P value in a two tailed test
17130,17130,What is a two sided two sample t test
17131,17131,How do you calculate a two tailed hypothesis
17132,17132,What is two tailed hypothesis test
17133,17133,How do you determine if a hypothesis test is one tailed or two tailed
17134,17134,Why don't we regularize the bias term
17135,17135,What is Bayesian belief network in data mining
17136,17136,What is difference between naïve Bayesian and Bayesian belief networks
17137,17137,Is naive Bayes a Bayesian network
17138,17138,What is one major differentiating factor between naive Bayes and Bayes algorithms
17139,17139,What is L2 regularization in neural networks
17140,17140,Why do we employ L2 regularization of weights in a network
17141,17141,What does regularization do to the weights
17142,17142,What does high AIC mean
17143,17143,Is a negative AIC better
17144,17144,How is P value difference between one tailed and two tailed tests
17145,17145,What is the difference between one tailed and two tailed
17146,17146,What is a 2 tailed P value
17147,17147,Is standard deviation from mean or median
17148,17148,Is standard deviation based on the mean
17149,17149,Is standard deviation equal to mean
17150,17150,How do you find the median when given the mean and standard deviation
17151,17151,Can you use median with standard deviation
17152,17152,How do you calculate mean median mode and standard deviation in Excel
17153,17153,What are the limitations of standard deviation
17154,17154,Why is standard deviation not a good measure of risk
17155,17155,What if standard deviation is unknown
17156,17156,What are the conditions for using the standard deviation formula
17157,17157,What is statistical data analysis
17158,17158,Why do we need statistics to analyze data
17159,17159,What are the statistical tools used in data analysis
17160,17160,Where statistics is used in machine learning
17161,17161,How is machine learning related to statistics
17162,17162,Where do you use an AB test
17163,17163,What is control in AB testing
17164,17164,What is test and control analysis
17165,17165,What is the use of DCT in image processing
17166,17166,How do you find the DCT of an image
17167,17167,What is DCT in multimedia
17168,17168,Why FFT algorithm is efficient
17169,17169,What is a Poisson rate
17170,17170,Is Poisson the same as exponential
17171,17171,How do you choose lambda in normalization
17172,17172,How do I display normal distribution in R
17173,17173,How do you plot a binomial distribution in R
17174,17174,How do you plot a Weibull distribution in R
17175,17175,How do you plot a normal probability plot in R
17176,17176,What does lognormal distribution model
17177,17177,What is the median of a lognormal distribution
17178,17178,How do you generate random numbers with lognormal distribution in Matlab
17179,17179,How do you create a normal distribution in Matlab
17180,17180,How do you find the probability of a lognormal distribution
17181,17181,How many layers has a RBM restricted Boltzmann machine )
17182,17182,What is variance of XY
17183,17183,What is the meaning of covariance
17184,17184,How do you calculate covariance in Excel
17185,17185,How do you find the variance of Y
17186,17186,What is variance of X2
17187,17187,What is the variance of Z
17188,17188,What does CDF mean in statistics
17189,17189,Are joint distributions independent
17190,17190,Are two variables independent
17191,17191,What are degrees of freedom in linear regression
17192,17192,What is DF in regression
17193,17193,What is N 2 degrees of freedom
17194,17194,What does degree of freedom mean in regression
17195,17195,What does it mean when algorithm X is asymptotically more efficient than Y
17196,17196,What is efficiency of an algorithm
17197,17197,What are the types of algorithm efficiency
17198,17198,Is the Kullback Leibler divergence a distance metric
17199,17199,Who started face recognition
17200,17200,How long has Face ID been around
17201,17201,What do you do with categorical variables
17202,17202,How do you know if two categorical variables are correlated
17203,17203,Can we use VIF for categorical variables
17204,17204,What is unbiased estimate in statistics
17205,17205,Why is the sample mean an unbiased estimator
17206,17206,Is s an unbiased estimator of σ
17207,17207,What is an unbiased point estimator
17208,17208,What does it mean to say that the sample mean is an unbiased estimator of the population mean
17209,17209,What does unbiased sample mean
17210,17210,Why is the sample mean an unbiased estimator of the population mean quizlet
17211,17211,Is sample mean an unbiased estimator of the population median
17212,17212,What is a regression line in statistics
17213,17213,What is an S shaped curve
17214,17214,What is the role of bias in neural network
17215,17215,What is bias in neural networks
17216,17216,How are non parametric test different from parametric test
17217,17217,What is twitter data
17218,17218,How do I read twitter data downloads
17219,17219,What can twitter data be used for
17220,17220,Does the data appear to be normally distributed
17221,17221,Which is not an assumption in logistic regression
17222,17222,What's underlying distribution assumption for logistic regression
17223,17223,Do dependent variables have to be normally distributed
17224,17224,Does independent variable have to be normally distributed in linear regression
17225,17225,What are the drawbacks of K means algorithm
17226,17226,What are the advantages and disadvantages of clustering
17227,17227,What are different issues of clustering
17228,17228,How does active learning help students
17229,17229,What is active learning approach
17230,17230,What does a agent do
17231,17231,What does a hazard ratio of 0.3 mean
17232,17232,What does a hazard ratio of 1.0 mean
17233,17233,How is likelihood function defined
17234,17234,Is likelihood a PDF
17235,17235,What do Quantiles mean
17236,17236,What is percentile in statistics
17237,17237,How do you find the percentile decile and quartile ungrouped data
17238,17238,What are the disadvantages of linear communication
17239,17239,What is the weakness of linear model
17240,17240,What is independent event probability
17241,17241,How do you determine if a probability is independent or dependent
17242,17242,How do you calculate individual probability
17243,17243,What is the difference between independent and dependent
17244,17244,What does it mean when probability is independent
17245,17245,What does hierarchical regression refer to
17246,17246,What are the assumptions of hierarchical regression
17247,17247,What is the key difference between stepwise and hierarchical multiple regression
17248,17248,What does stepwise regression mean
17249,17249,How do you do a hierarchical regression
17250,17250,How do I run a hierarchical regression in R
17251,17251,How do you do a hierarchical regression in SPSS
17252,17252,How do I change metadata in ArcMap
17253,17253,What is scene change detection
17254,17254,What is change point in time series
17255,17255,How do you define randomness
17256,17256,What is random sampling and why is it important
17257,17257,What are three reasons why we use random numbers
17258,17258,What is random selection and why is it important
17259,17259,Why is sampling needed
17260,17260,What is sampling Why do we need to sample sample design
17261,17261,What are the benefits of sampling
17262,17262,Why do we use sample instead of population
17263,17263,What is the most important reason for using random assignment in experiments
17264,17264,What is the most important reason for using random sampling in experiments quizlet
17265,17265,Can random forest be used for prediction
17266,17266,Which algorithm is best for forecasting
17267,17267,What does the T stand for in t test
17268,17268,How do you find the Student t distribution
17269,17269,What is at distribution in statistics
17270,17270,Why is it called t distribution
17271,17271,Why do we use at distribution instead of Z distribution for means
17272,17272,What is the difference between T distribution and normal distribution
17273,17273,What is Student t distribution statistics
17274,17274,Why bootstrap is called Bootstrap
17275,17275,Where did the term bootstrap come from
17276,17276,What is bootstrap regression
17277,17277,What is the difference between independent and conditional probability
17278,17278,What is Intel NCS2
17279,17279,What is Intel neural compute stick
17280,17280,What is NCS2
17281,17281,Why do we use moment generating function
17282,17282,How do you find a generating function
17283,17283,What is the role of histogram in image processing
17284,17284,How can an image histogram help in enhancing an image
17285,17285,What do you mean by image histogram
17286,17286,How do camera histograms work
17287,17287,What does an image histogram show
17288,17288,Why histogram is used in image processing
17289,17289,How is the Histogram palette helpful when analyzing an image
17290,17290,Which type of histogram processing is suited for minute detailed enhancements
17291,17291,What are the applications of a recurrent neural network
17292,17292,What is Bayes rule in artificial intelligence
17293,17293,What is aspect ratio formula
17294,17294,How do you find the standard deviation of a lognormal distribution
17295,17295,How do you find the standard deviation of a lognormal distribution in Excel
17296,17296,What is mean and variance of normal distribution
17297,17297,What is the mean in standard normal distribution
17298,17298,Where is the mean in a normal distribution
17299,17299,How do you find the CDF of a joint PDF
17300,17300,How do you calculate marginal density from joint density
17301,17301,How do you calculate marginal probability and joint probability
17302,17302,What is standard unit example
17303,17303,Why are standard units
17304,17304,What is the difference between standard unit and SI unit
17305,17305,What is called standard unit
17306,17306,Is current A SI unit
17307,17307,How many layers does an RBM restricted Boltzmann machine have
17308,17308,Is hierarchical regression the same as stepwise regression
17309,17309,In what specific application is stepwise regression used today
17310,17310,What are the uses of decision tree in quantitative techniques
17311,17311,Is a decision tree machine learning
17312,17312,What is regression explain
17313,17313,What is linear regression in machine learning with example
17314,17314,What does regression mean
17315,17315,What is regression and correlation
17316,17316,What is feature extraction in text classification
17317,17317,What do you mean by feature extraction
17318,17318,What mean features
17319,17319,What is MLP network
17320,17320,What is parameter sharing in RNN
17321,17321,What is MaxPooling2D
17322,17322,How much data do you need for regression
17323,17323,What is the difference between random and quota sampling
17324,17324,Is quota sampling non probability sampling
17325,17325,What is non randomized sampling
17326,17326,How do you determine the consistency of an estimator
17327,17327,How do you find the variance of a sample
17328,17328,What is the variance of the sample mean
17329,17329,What is a high sample variance
17330,17330,What is the mean in probability
17331,17331,What is mean and variance
17332,17332,How do you find the population mean of a sample
17333,17333,How do you find the probability of a sample between two numbers
17334,17334,What is the probability that the sample mean would differ from the population mean by more than
17335,17335,What does zero correlation tell you
17336,17336,Does uncorrelated imply independence
17337,17337,What is the difference between independence and zero correlation
17338,17338,What happens if the correlation coefficient is 0
17339,17339,What do you mean by clustering in data mining
17340,17340,What is a cluster in machine learning
17341,17341,Are fractions discrete or continuous
17342,17342,What variable can take a fraction value
17343,17343,What is linear regression explain
17344,17344,How does multinomial logistic regression work
17345,17345,How do you do a multinomial logistic regression in SPSS
17346,17346,How do you interpret multiple logistic regression in SPSS
17347,17347,How do you analyze multiple regression in SPSS
17348,17348,What is the gamma parameter in SVM
17349,17349,What is C parameter in logistic regression
17350,17350,What is the multiple test
17351,17351,What is Bayes theorem used to compute
17352,17352,Where is Bayes theorem used
17353,17353,What is Bayes theorem quizlet
17354,17354,Can we use SVM for linear regression problems
17355,17355,What is the use of dropout layer
17356,17356,Where is the dropout layer
17357,17357,What does drop out mean
17358,17358,Is probability a discrete random variable
17359,17359,What is SGDM in deep learning
17360,17360,What is SGD machine learning
17361,17361,Are neural networks stochastic
17362,17362,What is unstructured data example
17363,17363,Which is unstructured data
17364,17364,What is the meaning of unstructured
17365,17365,Which type of data is considered unstructured
17366,17366,Where does unstructured data come from
17367,17367,How do you find the mean and variance of a gamma distribution
17368,17368,What is mean and variance of probability distribution
17369,17369,What does gamma stand for
17370,17370,What is Gamma function in statistics
17371,17371,Why is beta distribution used
17372,17372,Is SVM a binary classifier
17373,17373,Is Arima a statistical model
17374,17374,What is order in Arima model
17375,17375,What is a positive scatter plot
17376,17376,How do you interpret a scatter plot
17377,17377,What makes a good scatter plot
17378,17378,How do you tell if a scatter plot is a function
17379,17379,What are the characteristics of a scatter plot
17380,17380,How do you analyze a scatter plot
17381,17381,What are the different types of parameters
17382,17382,What is parameter and list its types
17383,17383,What do you mean by parameter
17384,17384,What are the two parameters
17385,17385,What are the parameters in C
17386,17386,What are function parameters
17387,17387,How do you identify data anomaly
17388,17388,What can you do with anomalies in data
17389,17389,What is the Fourier transform of a function
17390,17390,What is the importance of Fourier series
17391,17391,What is the significance of Fourier series in vibration
17392,17392,What is the purpose of Fourier analysis
17393,17393,How do you test for randomness
17394,17394,What is randomness in statistics
17395,17395,What is the randomness of a system
17396,17396,What is randomness in probability
17397,17397,What is random data in statistics
17398,17398,What type of analysis is factorial Anova
17399,17399,What is the appropriate statistical test for a factorial design
17400,17400,How do you report Anova results in APA
17401,17401,What is meant by independent event
17402,17402,Is at score a test statistic
17403,17403,What does AT score mean in statistics
17404,17404,Can a test statistic be a negative number
17405,17405,What does a negative mean difference mean
17406,17406,Why is Collinearity bad in regression
17407,17407,How do you know if results are statistically significant
17408,17408,What is the difference between statistical significance and practical significance
17409,17409,What is the difference between statistical significance and practical significance can a treatment have statistical significance but not practical significance
17410,17410,What is statistical significance mean
17411,17411,What does it mean when a study is not statistically significant
17412,17412,How can I get better at machine learning
17413,17413,How can models improve accuracy
17414,17414,What is item response theory used for
17415,17415,In what ways are classical test theory and item response theory important in assessing learners
17416,17416,What is classical measurement theory
17417,17417,What are the assumptions of classical test theory
17418,17418,Is K fold cross validation is linear in K
17419,17419,How do you use K fold cross validation
17420,17420,What is the value of K in K fold cross validation
17421,17421,How do I cross validate a model in R
17422,17422,How do you validate a regression model
17423,17423,How do you know if a regression model is accurate in R
17424,17424,What does the Kruskal Wallis test compare
17425,17425,Does Kruskal Wallis assume equal variance
17426,17426,What is the non parametric t test
17427,17427,Is Kruskal Wallis test Parametric
17428,17428,What is a regression analysis used for
17429,17429,What is regression analysis and when is it used
17430,17430,What are the two main objectives of image processing
17431,17431,What are the advantages of image
17432,17432,What are the disadvantages of digital image processing
17433,17433,What does a regression line tell you
17434,17434,How do you do a least squares regression line
17435,17435,What does SSE mean in regression
17436,17436,How do you calculate least squares regression line
17437,17437,How do you find the regression equation between two variables
17438,17438,What is the equation of the least squares regression line for the data set
17439,17439,What is discrete data in statistics
17440,17440,Is quantitative data discrete or continuous
17441,17441,What is the difference between discrete data and continuous data
17442,17442,What does Conv2D layer do
17443,17443,What is a learning curve mean
17444,17444,What does it mean to be on a learning curve
17445,17445,What is the learning curve rate
17446,17446,How do you overcome learning curve
17447,17447,How do you interpret logged variables in regression
17448,17448,How do you interpret a log transformed dependent variable
17449,17449,How do you read log points
17450,17450,What are the characteristics of knowledge representation
17451,17451,How many types of entities are there in knowledge representation
17452,17452,How many independent variables can there be in a regression model
17453,17453,What is null hypothesis and p value
17454,17454,Why is the standard deviation of the mean lower than the standard deviation of the data points in a set
17455,17455,Why does the distribution of means have less variability than a distribution of individuals
17456,17456,What is the difference between the distribution of the population the distribution of the sample and the sampling distribution of a sample statistic
17457,17457,How is a sampling distribution different from the distribution of a population
17458,17458,What is the difference between a sample mean and the population mean called
17459,17459,What is a simple random variable
17460,17460,How do you find the random variable in statistics
17461,17461,Is z score a random variable
17462,17462,What does the standard normal random variable Z mean
17463,17463,What is second order moment
17464,17464,What is a moment of a random variable
17465,17465,What is realization time series
17466,17466,How do you determine the values of a random variable
17467,17467,How do you find the probability of a PDF
17468,17468,What is meant by probability density
17469,17469,How do you draw a probability function
17470,17470,Is multivariate analysis the same as multiple regression
17471,17471,Is regression A analysis
17472,17472,Is logistic regression A multivariate analysis
17473,17473,What is Multivariate multiple regression
17474,17474,Is multivariate regression the same as multiple regression
17475,17475,What is multivariable linear regression
17476,17476,What is appropriate regression
17477,17477,How do you create a vector field
17478,17478,What is the circulation of a vector field
17479,17479,Is flow a vector
17480,17480,What is the difference between an independent t test and a dependent t test
17481,17481,What is the difference between T test Z test and F test
17482,17482,What is a paired two sample t test
17483,17483,When can we use a t test for the difference of two means
17484,17484,When should a paired t test be performed instead of a two sample t test chegg
17485,17485,What does the F statistic tell you
17486,17486,What is PSD in vibration
17487,17487,What is power spectral density EEG
17488,17488,Is Association supervised or unsupervised
17489,17489,Is Apriori algorithm a machine learning algorithm
17490,17490,What is meant by observer bias
17491,17491,What type of observational bias can you relate to
17492,17492,What is the actor Observer difference
17493,17493,What is an example of actor observer effect
17494,17494,Which of the following is an example of actor observer bias Akbar
17495,17495,What is feature extraction in text mining
17496,17496,How feature extraction is done
17497,17497,Which of the following is an example of feature extraction in machine learning
17498,17498,What is the meaning of factor analysis
17499,17499,How do you do factor analysis
17500,17500,How do you justify an outlier
17501,17501,How do you correct outliers
17502,17502,What happens when you normalize data
17503,17503,What is a high pass filter used for
17504,17504,What is RC low pass filter
17505,17505,How does an RC low pass filter work
17506,17506,Why RC circuit is low pass filter
17507,17507,How is gain of high pass filter calculated
17508,17508,How does a high pass filter work
17509,17509,How is the higher order filters formed
17510,17510,What is the difference between low pass filter and high pass filter
17511,17511,How do you know if a point estimate is biased
17512,17512,What is a posterior predictive check
17513,17513,How do you calculate a PDF
17514,17514,What is the relationship between CDF and PDF
17515,17515,What is PDF vs CDF
17516,17516,What are the regression lines explain their properties and uses
17517,17517,What is the main purpose of regression analysis
17518,17518,How do you describe a regression equation
17519,17519,How many variables are in a regression analysis
17520,17520,What are the two regression coefficients
17521,17521,What is the objective of linear regression
17522,17522,What are the applications of regression analysis
17523,17523,What does the slight difference in mean and median mean
17524,17524,When would the mean and median be the same
17525,17525,How do you find the geometric mean
17526,17526,Why is ReLU preferred over sigmoid
17527,17527,How does the KNN algorithm work
17528,17528,How do you do the KNN classification
17529,17529,What are the two types of random sampling
17530,17530,What type of research is random sampling
17531,17531,What is the meaning of non random sampling
17532,17532,What is an example of a non random sample
17533,17533,What is considered a random sample
17534,17534,Is Lstm supervised or unsupervised
17535,17535,How regression analysis is used in forecasting
17536,17536,What variable is being predicted in regression analysis
17537,17537,How do you know if a regression model is accurate
17538,17538,When you should use a regression model
17539,17539,How do you change a non normal distribution
17540,17540,What to do when data is not normally distributed
17541,17541,How do you convert skewed data
17542,17542,How do you make a normal data not normal
17543,17543,Can we use standard deviation for non normal distribution
17544,17544,Can't test be used for non normal distribution
17545,17545,Do z scores follow a standard normal distribution
17546,17546,What does Z represent in the standard normal distribution
17547,17547,How do you use a z score table for a normal distribution
17548,17548,What is the difference and comparison between the Z distribution and t distribution
17549,17549,How do you describe the relationship of the Z table to the standard normal distribution table
17550,17550,Do z scores only apply to normal distributions
17551,17551,What is Z in standard normal distribution
17552,17552,What is the difference between the normal curve and the Z distribution
17553,17553,What is Z value in normal distribution
17554,17554,What does Z distribution mean
17555,17555,What is criterion in random forest
17556,17556,Why are assumptions important in modeling
17557,17557,What are assumptions in a model
17558,17558,What is a regression tree model
17559,17559,What are the main criteria to judge an algorithm
17560,17560,What are the characteristics of algorithm
17561,17561,What is algorithm and its characteristics
17562,17562,How do you find the MLE of a binomial distribution
17563,17563,How does connectionism explain learning
17564,17564,How do you find the sample size for a finite population
17565,17565,How do you calculate proportion in statistics
17566,17566,How do you calculate the proportion between two numbers
17567,17567,How do you calculate ratios and proportions
17568,17568,How do you find the mean of a sample proportion
17569,17569,What is the mean of the sampling distribution of the sample proportion
17570,17570,How do you find the sample proportion
17571,17571,Is proportion the same as percentage in statistics
17572,17572,How do you find percent proportion in statistics
17573,17573,What are the two types of continuous variables
17574,17574,Is age discrete or continuous data
17575,17575,Which statement is correct about K fold cross validation
17576,17576,How do you interpret k fold cross validation
17577,17577,What word is the opposite of entropy
17578,17578,Is entropy and enthalpy the same
17579,17579,Does enthalpy affect entropy
17580,17580,Is life the opposite of entropy
17581,17581,Can the arrow of time be reversed
17582,17582,What does it mean to have negative entropy
17583,17583,Can ∆ s be negative
17584,17584,What's the opposite of entropy
17585,17585,Does the universe tends towards entropy
17586,17586,Is SVM a discriminative classifier
17587,17587,Where can I find good data sets
17588,17588,How do you download data sets
17589,17589,How do I download a dataset for machine learning
17590,17590,How do you obtain data
17591,17591,How do you get a dataset for machine learning
17592,17592,Why are correlated features bad
17593,17593,Is Multicollinearity a problem
17594,17594,Why is Multicollinearity a potential problem in a multiple linear regression
17595,17595,How Multicollinearity can be a problem
17596,17596,When should I be concerned about Multicollinearity
17597,17597,What level of correlation indicates Multicollinearity
17598,17598,What is the meaning of effect size in statistics
17599,17599,What does effect size mean
17600,17600,How do you choose Effect size
17601,17601,Why is it important to report effect size
17602,17602,Is MCMC Bayesian
17603,17603,What is edge detection used for
17604,17604,Which is the best edge detection algorithm
17605,17605,What is an edge and what are its operators
17606,17606,What are the steps in designing a machine learning problem explain with the Checkers problem
17607,17607,How many steps are there in designing a learning system
17608,17608,How do you test a tensor shape
17609,17609,How do you find the metric tensor
17610,17610,What is a unit tensor
17611,17611,How does a TensorFlow graph work
17612,17612,What is LDA in data science
17613,17613,Why do we use LDA
17614,17614,What is the null hypothesis for a chi square test of independence
17615,17615,What is the null hypothesis for a chi square test quizlet
17616,17616,When the null hypothesis in the chi square test is true there should be
17617,17617,What kind of variables would you cross tabulate
17618,17618,Is Ancova multivariate
17619,17619,What type of test is Anova
17620,17620,Is Anova descriptive analysis
17621,17621,Why is Anova used in regression analysis
17622,17622,How do you find the sample size when given the standard deviation
17623,17623,How do you find a sample size given a confidence interval
17624,17624,Which part of the confidence interval is affected by the sample size
17625,17625,Who is the founder of probability
17626,17626,Who defined probability
17627,17627,Who invented probability and statistics
17628,17628,Who is the father of statistics and probability
17629,17629,Who introduced the concept of statistics
17630,17630,What is the connection between probability and statistics
17631,17631,Why do we use OLS method
17632,17632,What are OLS estimators
17633,17633,How will show that the OLS estimators are unbiased
17634,17634,What is the use of linear regression in real life
17635,17635,Why is regression useful
17636,17636,Is Adam better than SGD
17637,17637,What does Optimizer do in deep learning
17638,17638,What is difference between IIR and FIR filters
17639,17639,What is an IIR filter used for
17640,17640,What are the advantages of IIR filters
17641,17641,How do IIR filters work
17642,17642,What is the difference between IIR and FIR filters
17643,17643,Why do we use IIR filters
17644,17644,Which of the following problems can be modeled as constraint satisfaction problem
17645,17645,Why is oversampling used
17646,17646,What is a multi class classification problem
17647,17647,Which of the following are multi class classification problem example
17648,17648,How do you find P value in linear regression
17649,17649,What is cognitive in AI
17650,17650,What is AI technology examples
17651,17651,What are the technology areas of AI
17652,17652,How AI can help in growing you cognitively
17653,17653,Is dropout a form of regularization
17654,17654,What is normalized weight
17655,17655,What is normalization layer
17656,17656,What is normalization in deep learning
17657,17657,What is dropout in CNN
17658,17658,What is S curve
17659,17659,How does an S curve work
17660,17660,What does an S curve look like
17661,17661,What do you mean by interpolation and extrapolation
17662,17662,What is meant by interpolation
17663,17663,What does it mean by interpolation for a data set
17664,17664,What is the difference between sample and interpolation
17665,17665,How do you interpolate example
17666,17666,What is an interpolation filter
17667,17667,What is linear interpolation and extrapolation
17668,17668,What extrapolate means
17669,17669,Which is unsupervised machine learning algorithm
17670,17670,What are likely effects of TNF α
17671,17671,Is TNF alpha inflammatory
17672,17672,What is the function of TNF alpha
17673,17673,What causes elevated TNF alpha
17674,17674,Is Knn affected by scale of data
17675,17675,Which of the following are advantages of large value of K in K NN algorithm
17676,17676,Can SVM handle categorical variables
17677,17677,Is sample mean a biased estimator
17678,17678,Why is transfer learning used
17679,17679,What is transfer learning in NLP
17680,17680,What is the meaning of transfer of learning
17681,17681,What is transfer of learning PDF
17682,17682,What is the importance of transfer of learning
17683,17683,How do I import a dataset into Scikit learn
17684,17684,WHAT IS A in confidence interval
17685,17685,How do you test a null hypothesis in statistics
17686,17686,What is distribution of test statistic
17687,17687,What is the null value in statistics
17688,17688,What is the distribution of the test statistic if the null hypothesis is true
17689,17689,When H0 is true the frequency distribution of the T score is
17690,17690,What is the t tests based on student's distribution useful for
17691,17691,What is the null hypothesis for z test
17692,17692,What is the distribution of the test statistic with parameter if any under h0
17693,17693,How do you find the observed test statistic
17694,17694,When the population variances are known which distribution does the test statistic follow
17695,17695,How do you do a regression tree
17696,17696,What is the difference between trees and logistic regression
17697,17697,How are principal components calculated
17698,17698,What do principal component scores mean
17699,17699,How do you find optimal K in Knn
17700,17700,Which type of target variable can be dealt by KNN
17701,17701,Is logistic regression supervised learning
17702,17702,Is logistic regression supervised or unsupervised
17703,17703,What type of algorithm is logistic regression
17704,17704,What does Z stand for in statistics
17705,17705,What is Z star in statistics
17706,17706,What is the difference between T and Z scores
17707,17707,What is Z and T score
17708,17708,How was artificial intelligence created
17709,17709,Where was artificial intelligence invented
17710,17710,When was Ai invented
17711,17711,What does P value of .02 mean
17712,17712,Is P value of 0.01 Significant
17713,17713,What does a large P value mean
17714,17714,How does predictive Modelling work
17715,17715,What is the difference between sampling distribution and population distribution
17716,17716,Is sampling distribution a population
17717,17717,Is the mean of the sampling distribution equal to the population mean
17718,17718,Is there a difference between mean and sample mean
17719,17719,What is the difference between a sample mean and the population mean called quizlet
17720,17720,What makes a distribution geometric
17721,17721,How do you know if a distribution is binomial or geometric
17722,17722,How do you know if it is binomial
17723,17723,How do you overcome Underfitting in machine learning
17724,17724,What happens when data skewed
17725,17725,Which statement describes a cause of skewed data
17726,17726,What does it mean when a histogram is skewed to the left
17727,17727,What does a skewed normal distribution mean
17728,17728,How do you tell if a distribution is skewed left or right
17729,17729,How do you determine the direction of skewness
17730,17730,What is a valid probability density function
17731,17731,How do you find the density of a normal distribution
17732,17732,What are the components of expert system in artificial intelligence
17733,17733,What are examples of intelligent systems
17734,17734,What do intelligent systems do
17735,17735,What is meant by expert systems
17736,17736,What is the role of expert system
17737,17737,Can we use linear regression for classification
17738,17738,What is random probability
17739,17739,How do you find the missing probability
17740,17740,What should be the probability of each value of the random variable
17741,17741,What is a random variable in probability
17742,17742,What are the uses of decision tree
17743,17743,Can decision trees can be used for classification tasks
17744,17744,What are the pros of decision trees
17745,17745,What is likelihood and probability
17746,17746,What is likelihood in naive Bayes
17747,17747,What is AR method
17748,17748,What does a correlation of .8 mean
17749,17749,Is 0.7 A positive correlation
17750,17750,What does a correlation of 0.1 mean
17751,17751,What does a correlation of 0.2 mean
17752,17752,Should I study data science or statistics
17753,17753,Is a statistics degree worth it
17754,17754,What does sample mean in statistics
17755,17755,How do you calculate the mean difference
17756,17756,What is the difference between the expected value of the sample mean and the population mean
17757,17757,What is difference between RMS value and average value
17758,17758,What is the meaning of average value
17759,17759,How is K nearest neighbor different from K means clustering
17760,17760,What's the difference between K nearest neighbor and K means clustering
17761,17761,Is K nearest neighbor unsupervised
17762,17762,Is Knn Parametric
17763,17763,Is K means a classifier
17764,17764,How do I enter categorical data in SPSS
17765,17765,How is categorical data used in regression
17766,17766,What is categorical predictors in regression
17767,17767,What is the difference between Multivariate and univariate analysis
17768,17768,What is a univariate Anova test
17769,17769,Is likelihood a probability distribution
17770,17770,What is L1 and L2 machine learning
17771,17771,How do I create a subgroup in SPSS
17772,17772,How do I compare subgroups in SPSS
17773,17773,How do I enter grouped data in SPSS
17774,17774,How do I compare two frequencies in SPSS
17775,17775,How do you find the mean of multiple variables in SPSS
17776,17776,How do you analyze data in SPSS
17777,17777,How can multiple regression be used as a prediction technique
17778,17778,How do you predict multiple regression analysis
17779,17779,How do you predict multiple variables
17780,17780,What is the number of predictors in a regression model
17781,17781,Why does correlation not prove causation
17782,17782,What is the difference between correlation and causal mechanism
17783,17783,What is the difference between causal and correlational research
17784,17784,Can a correlational study determine causality
17785,17785,What do correlations tell us
17786,17786,What is the difference between correlation and causality
17787,17787,What is the Bayesian approach and why is it important for visual perception
17788,17788,Why do we divide by N 1 instead of N
17789,17789,Why do we use N 1 in sample standard deviation instead of N
17790,17790,Why do you use N 1 in standard deviation
17791,17791,When N 1 is used in the denominator How do you find the variance
17792,17792,Why do we use N 1 as the denominator when calculating the variance of a sample
17793,17793,What is NLP discuss NLP fundamental tasks in detail
17794,17794,What are the two main components of NLP
17795,17795,What are the advantages of neural networks I ability to learn by example
17796,17796,Can we calculate precision for multiclass classification using confusion matrix
17797,17797,How do you find precision and recall from confusion matrix
17798,17798,How do you find the accuracy of a multiclass classification
17799,17799,How do you do feature selection using random forest in R
17800,17800,Can we use decision tree for feature selection
17801,17801,What does a nonlinear relationship look like
17802,17802,What does a linear association look like
17803,17803,What is an example of positive association
17804,17804,What is pool size in CNN
17805,17805,What is window size in machine learning
17806,17806,What is the purpose of a high pass filter
17807,17807,What filtering technique should I use to retain sharp edges in an image
17808,17808,Why Gaussian filter is used
17809,17809,How do you induce alpha state
17810,17810,What is alpha state of mind
17811,17811,What does vector space mean
17812,17812,What is the meaning of subspace
17813,17813,What is the vector space of a matrix
17814,17814,What are your biases
17815,17815,How do you find power spectral density
17816,17816,What do you mean by power spectral density
17817,17817,How does Matlab calculate power spectral density
17818,17818,Which rule is used to control the amount of weight at each step of training
17819,17819,Is radial basis function linear
17820,17820,What is normal kurtosis
17821,17821,What does a kurtosis of 2 mean
17822,17822,What level of kurtosis is acceptable
17823,17823,What does skewness and kurtosis tell us
17824,17824,How do you interpret a skewed distribution
17825,17825,What does positive kurtosis value indicates for a data
17826,17826,What is skip connection
17827,17827,Why do we use Skip connections
17828,17828,What is a skip connection in CNN
17829,17829,Are P values affected by sample size
17830,17830,Why do we calculate effect size
17831,17831,How do you calculate Cohen's f2
17832,17832,What does a small effect size tell us
17833,17833,How does the effect size affects the power of a test
17834,17834,How does effect size influence power
17835,17835,Is linear regression supervised or unsupervised
17836,17836,What is LDA in machine learning
17837,17837,Is Qda Parametric
17838,17838,What is an example of discrete random variable
17839,17839,How do you identify a discrete random variable
17840,17840,What makes a variable discrete
17841,17841,Is age a discrete quantitative variable
17842,17842,How do you do LDA
17843,17843,What is LDA in data mining
17844,17844,How is LDA different from PCA
17845,17845,What is momentum in learning rate
17846,17846,What is momentum factor in neural network
17847,17847,What is momentum machine learning
17848,17848,What is ML learning rate
17849,17849,What is learning rate and momentum in neural network
17850,17850,Is CNN a classifier
17851,17851,Is a neural network way of classifying inputs
17852,17852,What is bivariate random variable
17853,17853,What is multivariate distribution in statistics
17854,17854,What are the two types of probability distribution
17855,17855,Is a bell curve a normal distribution
17856,17856,What are the four characteristics of a normal distribution
17857,17857,What are the characteristics of the normal curve
17858,17858,What defines a normal distribution
17859,17859,Which algorithm is used for unsupervised learning
17860,17860,Is genetic algorithm deep learning
17861,17861,What are the data visualization techniques
17862,17862,What is Data Visualization in AI
17863,17863,What does Visualisation mean
17864,17864,What is visualization and its types
17865,17865,What is the core purpose of data visualization
17866,17866,What is Data Visualization Why is it needed
17867,17867,How do you explain visualization
17868,17868,In what cases would you use the binomial distribution
17869,17869,How do you know when to use the binomial distribution to model a situation
17870,17870,How do you know if a binomial is a random variable
17871,17871,What are the requirements for a binomial distribution to be used to find probabilities
17872,17872,How do you know when to use binomial PDF or CDF
17873,17873,When can we use binomial distribution
17874,17874,How do you know when to use binomial
17875,17875,What is a kernel initializer
17876,17876,How do you initialize weights
17877,17877,How does angular detect change
17878,17878,Which of the following is being used in angular 2 to detect changes
17879,17879,How does angular update the DOM
17880,17880,What is the default component change detection strategy in angular
17881,17881,What triggers angular change detection
17882,17882,What are the ways to trigger change detection in angular
17883,17883,What is change detection angular
17884,17884,How can you reduce variability in an experiment
17885,17885,How do you reduce variability
17886,17886,What is the best way to reduce sampling variability
17887,17887,How do you reduce high variance
17888,17888,Why does a neural network with small weights generalize better
17889,17889,What is the role of weights and bias
17890,17890,What does ACF plot show
17891,17891,What does ACF measure
17892,17892,How do you read an ACF and PACF plot
17893,17893,Is learning TensorFlow worth it
17894,17894,What is error variance in regression
17895,17895,How do you interpret VIF results
17896,17896,What VIF value indicates Multicollinearity
17897,17897,What does it mean to account for variance
17898,17898,How much variance is acceptable
17899,17899,What does variance mean in regression
17900,17900,Which are the main approach of fuzzy inference systems
17901,17901,What is sampling frame error
17902,17902,How do you calculate frame error rate
17903,17903,What is framing error in UART
17904,17904,What is an example of non sampling error
17905,17905,Why is sampling error important
17906,17906,How do you cluster variables
17907,17907,How many variables are in a cluster analysis
17908,17908,Which type of data mining is most suitable for categorical variables *
17909,17909,What is sample standard deviation
17910,17910,When should I use sample standard deviation
17911,17911,What is a good standard deviation for a test
17912,17912,What is the difference between population standard deviation and sample standard deviation
17913,17913,What is the formula for SX
17914,17914,Is SX a variance
17915,17915,What is a linear kernel in SVM
17916,17916,What does gamma distribution represent
17917,17917,How do you evaluate gamma function
17918,17918,How do you find the variance of a gamma distribution
17919,17919,What are the parameters of gamma distribution
17920,17920,How does a min/max algorithm work
17921,17921,What is the complexity of MIN MAX algorithm
17922,17922,What is the complexity of Minimax algorithm Mcq
17923,17923,Which search is similar to Minimax search in AI
17924,17924,What do we mean by integration
17925,17925,What is integration in a sentence
17926,17926,What is integration application
17927,17927,What is integration and its types
17928,17928,What is integration Class 11
17929,17929,Why is KL divergence in VAE
17930,17930,What is the difference of the formula in standard deviation in terms of population and sampling
17931,17931,What is the difference between the population variance formula and the sample variance formula
17932,17932,Why is standard deviation different
17933,17933,Which formula should you use for standard deviation
17934,17934,Why does the standard deviation formula work
17935,17935,Why is Gaussian noise white
17936,17936,How do I get rid of Gaussian noise
17937,17937,How can random Gaussian noise be filtered out from an image
17938,17938,What are the types of noise in image processing
17939,17939,What causes image noise
17940,17940,What is noise filtering in image processing
17941,17941,What is Overfitting and why is it a problem
17942,17942,What is Overfitting and how do you detect it
17943,17943,What is ML bias
17944,17944,What does an R squared value of 0.4 mean
17945,17945,What does it mean if R Squared is low
17946,17946,How do you interpret r squared
17947,17947,What does an R2 value of 0.6 mean
17948,17948,How can big data be misused
17949,17949,What is an example of misused statistics
17950,17950,How data can be misused
17951,17951,What is the role of statistics in data science
17952,17952,What do you learn in statistics
17953,17953,What is a linear Perceptron
17954,17954,What is the purpose of kernel trick in SVM
17955,17955,What is kernel method in machine learning
17956,17956,What is kernel trick in machine learning
17957,17957,Is 0.2 A good correlation
17958,17958,Who is an agent
17959,17959,What is the role of an agent
17960,17960,What is Agent function
17961,17961,What are the advantages of sampling in statistics
17962,17962,What is sampling what are the advantages of sampling over census
17963,17963,What is a major advantage of using random sampling
17964,17964,Which is a symmetric distribution
17965,17965,Which of the following represents symmetrical distribution
17966,17966,What best describes a symmetric distribution
17967,17967,How do you know if a distribution is symmetric or skewed
17968,17968,What is symmetrical data
17969,17969,How do you know if a data set is symmetrical
17970,17970,What is asymmetric data
17971,17971,Does symmetric mean normal
17972,17972,What is a symmetric distribution mean
17973,17973,What is skewness and kurtosis for normal distribution
17974,17974,What does or stand for in statistics
17975,17975,What is the and/or rule in probability
17976,17976,What are the properties of hash function in cryptography
17977,17977,What are the six main properties of a good hash function
17978,17978,What are two properties of a cryptographic hash functions choose two
17979,17979,Which applications use hashing algorithms effectively
17980,17980,Which is not application of hash function
17981,17981,What is squash function
17982,17982,Why do we need an activation function
17983,17983,Why do we need non linear activation function
17984,17984,What is sigmoid function in machine learning
17985,17985,Why is sigmoid function used in logistic regression
17986,17986,Can't test be used for nominal data
17987,17987,What are the characteristics of an ideal filter
17988,17988,What are the properties of filters
17989,17989,Which is the non linear filter
17990,17990,How do you find the probability of an independent event
17991,17991,What is an independent compound event
17992,17992,How do you find the probability of A or B independent
17993,17993,How do you find the probability of two independent events
17994,17994,Is the probability of A and B the same as the probability of B and A
17995,17995,What is P AUB if A and B are independent
17996,17996,What is the meaning of oversampling
17997,17997,What does it mean when covariance is 0
17998,17998,Is covariance 0 if independent
17999,17999,What is the covariance of two random variables
18000,18000,What will happen to the covariance of two independent random variables
18001,18001,What is NLU in NLP
18002,18002,What is natural language generation in AI
18003,18003,What is the relationship between the standard normal distribution and the t distribution
18004,18004,When would you use a t distribution instead of a normal distribution
18005,18005,What does a chi square distribution tell you
18006,18006,What does a chi square distribution look like
18007,18007,How is chi square test different from other tests
18008,18008,What is back propagation in deep learning
18009,18009,Which Optimisation is used in back propagation algorithm
18010,18010,What is the purpose of back propagation
18011,18011,What is the objective of back propagation algorithm
18012,18012,What is gradient descent medium
18013,18013,How do you describe the distribution of data in statistics
18014,18014,What is the distribution of the data
18015,18015,How do you describe the distribution of a variable
18016,18016,How do you describe the shape of a distribution histogram
18017,18017,How do you describe the shape center and spread of a distribution
18018,18018,What is the best way to describe a skewed distribution
18019,18019,How do you describe the spread of a distribution
18020,18020,What is the distribution of data
18021,18021,Why kernel function is used
18022,18022,What is the purpose of kernel function in SVM
18023,18023,How do you define a kernel function
18024,18024,What is the Mann Whitney U test used for
18025,18025,How do you tell if a Mann Whitney U test is significant
18026,18026,Why does Lstm gradient vanish
18027,18027,What causes exploding gradient
18028,18028,What are the ways to handle the vanishing gradient problem in RNNs
18029,18029,What does it mean for events to be disjoint
18030,18030,What do you mean by disjoint
18031,18031,Can an event be disjoint and independent
18032,18032,Can two events be both mutually exclusive and independent
18033,18033,Can two events be both mutually exclusive and independent quizlet
18034,18034,When A and B are two non empty and mutually exclusive events
18035,18035,What does it mean that the results are not statistically significant for this study
18036,18036,What do you do if P value is not significant
18037,18037,Do you report non significant results
18038,18038,What does lack of statistical significance mean
18039,18039,How are density and relative density different
18040,18040,What is relative density
18041,18041,What is the difference between absolute density and relative density
18042,18042,What do you mean by density and relative density of a substance
18043,18043,What do you mean by relative density
18044,18044,What do you mean by density
18045,18045,What is relative density and density
18046,18046,What is relative density kid definition
18047,18047,What is the value of relative density
18048,18048,How do you explain density
18049,18049,How many hidden layers do I have
18050,18050,What is difference between single layer Perceptron and multi layer Perceptron
18051,18051,How many hidden layers and neurons are there
18052,18052,How can I improve my dataset
18053,18053,How does binary cross entropy work
18054,18054,Is binary cross entropy convex
18055,18055,Is sensitivity dependent on prevalence
18056,18056,Is PPV the same as sensitivity
18057,18057,How is sensitivity calculated
18058,18058,How do you calculate sensitivity specificity and accuracy
18059,18059,What are factors in factor analysis
18060,18060,What is the difference between factor analysis and regression
18061,18061,Is PCA factor analysis
18062,18062,What is component matrix in factor analysis
18063,18063,What is component transformation matrix
18064,18064,What is factor transformation matrix
18065,18065,What is the difference between component matrix and rotated component matrix
18066,18066,What is the normal distribution of IQ scores
18067,18067,What is the normal distribution of SAT scores
18068,18068,What is the most frequently occurring score in a distribution
18069,18069,What is the average score in a distribution
18070,18070,Which measure of central tendency is the most frequent score in a list of scores
18071,18071,What is an example of distribution
18072,18072,What is a distribution area
18073,18073,How do you create training data for object detection
18074,18074,Is object detection machine learning
18075,18075,What is mean divided by standard deviation
18076,18076,Why do we divide by standard deviation
18077,18077,How do you average two standard deviations
18078,18078,What is the meaning of standard deviation of 1
18079,18079,What does N represent in standard deviation
18080,18080,Why is it N 1 for standard deviation
18081,18081,What happens to the SEM as N is increased
18082,18082,Is standard deviation equal to range
18083,18083,What does it mean by 1 standard deviation
18084,18084,Why do we calculate standard deviation
18085,18085,Is Yolo a convolutional neural network
18086,18086,How does R CNN work
18087,18087,What is a R CNN
18088,18088,What are some reasons for putting a larger portion of data into the training set
18089,18089,What is the difference between random effect and fixed effect
18090,18090,How do you find the PDF of X
18091,18091,What is statistics and how is it used
18092,18092,What does statistical Modelling mean
18093,18093,What is statistical data used for
18094,18094,What are the statistical methods in research
18095,18095,What does disparate impact mean
18096,18096,How do you calculate accuracy in classification
18097,18097,Is a histogram a descriptive statistic
18098,18098,What type of data is a histogram
18099,18099,What are univariate descriptive statistics
18100,18100,What does univariate data mean
18101,18101,What is Univariate vs multivariate
18102,18102,What is regression plot in neural network
18103,18103,Is neural network linear regression
18104,18104,Which statement is true about neural network and linear regression models
18105,18105,What is the use of regression in machine learning
18106,18106,Why linear regression is used in machine learning
18107,18107,Why do we use regression
18108,18108,How can we extend SVM for multi class classification problems
18109,18109,Can correlation be nonlinear
18110,18110,How do you tell if a scatter plot is linear or nonlinear
18111,18111,What is a non linear scale
18112,18112,What is a non linear scatterplot
18113,18113,How do you know if data is linear
18114,18114,How do you tell if a system is linear or nonlinear
18115,18115,How do you test for non linearity
18116,18116,What is the difference between linear vs nonlinear
18117,18117,What are the 2 branches of statistics
18118,18118,What is inferential statistics and descriptive statistics
18119,18119,What is the main difference between descriptive and inferential statistics
18120,18120,What is meant by descriptive statistics and inferential statistics
18121,18121,What are the two types of statistics
18122,18122,What are the two main branches of statistics quizlet
18123,18123,What is pruning in decision trees and how is it done
18124,18124,What is the dimension of a dataset
18125,18125,What is the difference between Dimension and attribute
18126,18126,What is the meaning of concept learning
18127,18127,What is the difference between simple and weighted average
18128,18128,What is a discrete probability distribution example
18129,18129,What is the difference between discrete and continuous functions
18130,18130,What is difference between discrete and continuous probability distributions
18131,18131,What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable
18132,18132,What is a probability distribution for a discrete random variable
18133,18133,What is the synonym of ensemble
18134,18134,Why is it called dummy variable
18135,18135,What means dummy
18136,18136,What are dummy variables in statistics
18137,18137,What are the types of machine learning models
18138,18138,How do you calculate F measure from confusion matrix
18139,18139,What is the equation to calculate classification accuracy
18140,18140,How do you measure performance of classification
18141,18141,What is the difference between panel data and time series
18142,18142,What is cross sectional in statistics
18143,18143,Why is correlation important in regression
18144,18144,Does regression show correlation
18145,18145,When would you use regression analysis example
18146,18146,Why would you use a regression analysis
18147,18147,When should linear regression be used
18148,18148,How does Correlation help forecasting
18149,18149,What is correlation and how is it different from prediction
18150,18150,What is the difference between the correlation and regression analysis
18151,18151,What is naive Bayes theorem in machine learning
18152,18152,Where does the Bayesian rule can be used
18153,18153,Why is tree pruning useful in decision tree induction What is a drawback of using a separate set of tuples to evaluate pruning
18154,18154,Is Probability and Statistics hard
18155,18155,How do you become good at probability
18156,18156,How do you solve probability problems quickly
18157,18157,How do you calculate grade 7 in probability
18158,18158,How do you express probability in maths
18159,18159,What is early stopping in deep learning
18160,18160,Can you overtrain a neural network
18161,18161,Why deep learning has taken off now
18162,18162,When did deep learning take off
18163,18163,What are the characteristics of deep learning
18164,18164,How is machine learning different from traditional programming
18165,18165,What does kappa statistic mean
18166,18166,What does a kappa of 0 mean
18167,18167,Can I use neural network for regression
18168,18168,Can neural networks learn discontinuous functions
18169,18169,Does Multicollinearity affect neural networks
18170,18170,Can neural network approximate any function
18171,18171,What's the difference between classification and regression
18172,18172,How do you call the process of predicting a discrete categorical value
18173,18173,Why do we use moving averages
18174,18174,What is an example of a biased sampling method
18175,18175,What does it mean for a sample to be unbiased
18176,18176,Are random samples biased
18177,18177,What is meant by biased sample
18178,18178,How does random sampling reduce bias
18179,18179,What does the ROC curve tell you
18180,18180,How do you choose the best threshold on a ROC curve
18181,18181,How do you find the threshold in logistic regression
18182,18182,How does SVM different from logistic regression
18183,18183,How can you increase the accuracy of a SVM classifier
18184,18184,What are the sources of unstructured data
18185,18185,Which of the following is unstructured data
18186,18186,What are structured data types
18187,18187,How many types of samples are there in inferential statistics
18188,18188,What is the difference between descriptive analysis and descriptive statistics
18189,18189,What is the main difference between descriptive statistics and inferential statistics
18190,18190,What is analytic statistics
18191,18191,What is classification rate
18192,18192,What is classification model
18193,18193,How do you evaluate a binary classifier
18194,18194,How do you train a classifier
18195,18195,Which algorithm is best for binary classification
18196,18196,How many images do you need to train a classifier
18197,18197,What are the advantages of multiple regression
18198,18198,How do you figure out the test statistic
18199,18199,What is considered a high Gini coefficient
18200,18200,Can Gini coefficients be negative
18201,18201,Why is the Gini ratio a popular measure of inequality
18202,18202,What are the disadvantages limitations or drawbacks of using the Gini index coefficient
18203,18203,What are the advantages of Gini coefficient
18204,18204,What does the Gini ratio measure
18205,18205,How do you interpret Ks values
18206,18206,What is the null hypothesis for the Shapiro Wilk test
18207,18207,What does null hypothesis stand for
18208,18208,What is the p value for normality test
18209,18209,What is root mean square average
18210,18210,How do you convert RMS to average
18211,18211,What is T value and p value
18212,18212,What does P value mean in t test
18213,18213,What does the P value mean in linear regression
18214,18214,What is difference between continuous and discrete variable
18215,18215,What is Laplacian in image processing
18216,18216,Why Laplacian operator is normally used for image sharpening operation
18217,18217,What does Laplacian filter do
18218,18218,Why is scaling of Laplacian filtered image necessary
18219,18219,What is batch normalization in keras
18220,18220,How does the law of large numbers related to probability
18221,18221,How is the law of large numbers related to probability
18222,18222,How data can be misleading
18223,18223,How can data misrepresentation be avoided
18224,18224,What does misleading data mean
18225,18225,What is the purpose of gradient descent
18226,18226,What is machine learning and its algorithms
18227,18227,What is the purpose of a chi square test for independence of association
18228,18228,Under what conditions chi square test is applicable
18229,18229,What is another word for moments
18230,18230,Where did the word moment come from
18231,18231,What does the term moment mean
18232,18232,What is difference between moment and momentum
18233,18233,How do you define reliability
18234,18234,What is test reliability and validity
18235,18235,Why is test reliability important
18236,18236,What is reliability in testing and evaluation
18237,18237,Does random sample mean IID
18238,18238,What is non IID
18239,18239,How do you interpret a sample covariance
18240,18240,What do positive values of covariance indicate
18241,18241,What is sample covariance used for
18242,18242,What does covariance tell us in statistics
18243,18243,Which type of learning is used in the clustering process
18244,18244,What kind of machine learning algorithm is K means clustering
18245,18245,Is Knn a clustering algorithm
18246,18246,Is clustering unsupervised learning
18247,18247,When we should use K means clustering
18248,18248,What are the types of linear model
18249,18249,Is linear regression a model
18250,18250,What are the 2 other name of linear model
18251,18251,What do I need to know about linear models
18252,18252,What are linear models used for
18253,18253,What is the formula for linear model
18254,18254,How does simple linear regression work
18255,18255,What are the assumptions of the OLS model
18256,18256,Which assumptions must hold true for ordinary least square regression
18257,18257,What are the assumptions of regression
18258,18258,What are the assumptions of the classical linear regression model
18259,18259,What assumptions do we make about the error term when estimating an ordinary least squares OLS regression
18260,18260,What are the assumptions we make when we estimate a regression model
18261,18261,What are dummy variables in regression
18262,18262,Why are they called dummy variables
18263,18263,What is the use of pooling in CNN
18264,18264,How do you define convolution
18265,18265,What is deep learning and why is it important to your education
18266,18266,What is difference between false positive and false negative
18267,18267,What is the probability of a false positive test result
18268,18268,How do you avoid selection bias in a cross sectional study
18269,18269,What is one way to reduce bias in an experiment
18270,18270,What are the limitations of a cross sectional study
18271,18271,What are the advantages of KNN algorithm
18272,18272,What is KNN algorithm in machine learning
18273,18273,What is the difference between SVM and KNN
18274,18274,What is random effect model in statistics
18275,18275,What do random effects do
18276,18276,Is gender a random variable
18277,18277,Is age a random effect
18278,18278,Is PCA unsupervised learning
18279,18279,Which of the following algorithms are considered for unsupervised learning
18280,18280,What is the value of log base 2
18281,18281,What is the log base 2 of 8
18282,18282,How do you get rid of log base 2
18283,18283,How do you prove probability functions
18284,18284,How do you prove two probabilities are independent
18285,18285,How do I know if I am a PA or B dependent
18286,18286,Is P A and B the same as P B and A
18287,18287,How do you know if an B is independent
18288,18288,What are models in ML
18289,18289,What does model refers to in machine learning
18290,18290,What is a model in ML
18291,18291,What does learning model mean
18292,18292,Which is the hierarchical clustering algorithm
18293,18293,What is difference between CNN and DNN
18294,18294,What is a DNN neural network
18295,18295,What is DNN in AI
18296,18296,What is SDLC and its phases
18297,18297,What do you mean by SDLC
18298,18298,What is the use of decision tree
18299,18299,What does Decision Tree mean
18300,18300,What is the purpose of the median
18301,18301,Which is unsupervised learning method
18302,18302,Is Knn unsupervised learning
18303,18303,What is loss and accuracy in CNN
18304,18304,How do I improve CNN accuracy
18305,18305,What is MIN MAX search
18306,18306,What is min max strategy
18307,18307,Which search method is used in MIN MAX algorithm
18308,18308,Why Alpha Beta approach is better than MIN MAX search
18309,18309,Why Alpha Beta pruning is better than Max Min algorithm
18310,18310,What is the advantage of adding alpha beta pruning to a Minimax algorithm
18311,18311,What is artificial intelligence and examples
18312,18312,What is artificial intelligence and its importance
18313,18313,What does the chi square test tell us
18314,18314,What is the chi squared equation
18315,18315,Can the null hypothesis be rejected at the 0.05 level
18316,18316,What does it mean to reject H0
18317,18317,What happens when you fail to reject the null hypothesis
18318,18318,What type of error is made if you fail to reject the null hypothesis when the null hypothesis is actually false
18319,18319,How do you reject a null hypothesis t test
18320,18320,What does it mean when you reject the null hypothesis
18321,18321,Is the null hypothesis more or less likely to be rejected explain
18322,18322,Why would data be normally distributed
18323,18323,How do u know if data is normally distributed
18324,18324,Why are things normally distributed
18325,18325,What is the purpose of normal distribution
18326,18326,Where does normal distribution come from
18327,18327,What is required for a set of data to be normally distributed
18328,18328,How do you make a normal distribution
18329,18329,Why is AUC a good metric
18330,18330,What does cosine similarity mean
18331,18331,What is the relationship between variance and standard deviation
18332,18332,What is mean median mode variance and standard deviation
18333,18333,What is the mean variance
18334,18334,What does standard deviation mean in real life
18335,18335,How standard deviation is calculated
18336,18336,How is deviation score calculated
18337,18337,What is standard deviation formula with example
18338,18338,What is Bayesian data analysis
18339,18339,What is combination and permutation
18340,18340,What is the permutation
18341,18341,What is the difference between autoregressive and moving average
18342,18342,What is Arima in time series
18343,18343,What is the difference between Arima and Sarima
18344,18344,What does a correlation coefficient of 0.6 mean
18345,18345,What is mean of exponential
18346,18346,How do you find the median of an exponential distribution
18347,18347,What is the mean of the exponential distribution
18348,18348,What is the median of an exponential distribution
18349,18349,What does exponential mean in statistics
18350,18350,How do you find the variance of an exponential distribution
18351,18351,What is the standard deviation of an exponential distribution
18352,18352,What is the variance of a Poisson distribution
18353,18353,How do you tell if something is left or right tailed or two tailed
18354,18354,Why is the median important and what does it tell us
18355,18355,Why do mean median and mode useful in interpreting the performance of the students
18356,18356,Which is best to use mean median mode
18357,18357,Why do we use mean and median
18358,18358,What is the use of median
18359,18359,What is another word for likelihood
18360,18360,Can Tableau do predictive analytics
18361,18361,Which type of data is used for predictive analytics
18362,18362,Can you do regression analysis in Tableau
18363,18363,What industries use data analytics
18364,18364,What does sensitivity and specificity measure
18365,18365,How do you calculate specificity and sensitivity in statistics
18366,18366,What is sensitivity in statistics
18367,18367,Is CDF the derivative of PDF
18368,18368,What is the relationship between the binomial and normal distribution
18369,18369,What is a binomial distribution in stats
18370,18370,Is 50 a strong correlation
18371,18371,What does a correlation of .05 mean
18372,18372,How do you know which measure of association to use
18373,18373,What is Gamma stand for
18374,18374,How do you calculate gamma
18375,18375,What does γ mean in math
18376,18376,What is lambda in Boxcox
18377,18377,Where is lambda for box Cox
18378,18378,What is the type of regression
18379,18379,What is regression relationship
18380,18380,Is Regression a type of correlation
18381,18381,Are regression coefficients independent
18382,18382,What is Apriori algorithm explain with example
18383,18383,What are the two steps of Apriori algorithm
18384,18384,What is the difference between classical test theory and item response theory
18385,18385,What is a characteristic curve
18386,18386,What is an item characteristic curve quizlet
18387,18387,Which is true of item characteristic curves
18388,18388,Which of the following would have a constant input in each epoch of training a deep learning model Mcq
18389,18389,What is two layer neural network
18390,18390,What are neural network layers
18391,18391,How many layers should neural network have
18392,18392,Why are neural networks good
18393,18393,Why are neural networks so popular
18394,18394,What is the goal of deep learning
18395,18395,What is good coefficient of variation
18396,18396,What is the best measure of variation
18397,18397,Why are the measures of variation useful
18398,18398,What are the measures of variance
18399,18399,What does train a model mean
18400,18400,What is the purpose of the training and test dataset
18401,18401,What do you mean by training data
18402,18402,What is training in machine learning
18403,18403,What is train data and test data in machine learning
18404,18404,How do you create training data
18405,18405,How does artificial intelligence impact society
18406,18406,What problems does Multicollinearity cause
18407,18407,Is random forest affected by outliers
18408,18408,What is a limitation of decision trees
18409,18409,What exactly is Fourier Transform
18410,18410,What are the properties of Fourier series
18411,18411,What is the benefit of Fourier Transform
18412,18412,What is the imaginary part of a Fourier transform
18413,18413,Are Arima models linear
18414,18414,What does Collinearity mean in statistics
18415,18415,How do you interpret cross entropy losses
18416,18416,What type of learning is clustering
18417,18417,Is K means clustering Parametric
18418,18418,What is threshold in precision recall curve
18419,18419,How do you calculate precision and recall for multiclass
18420,18420,What is the precision recall curve
18421,18421,Can logistic regression be used for continuous variables
18422,18422,What is the difference between sample distribution and sampling distribution
18423,18423,What sample means
18424,18424,How do we find the mean of that sampling distribution
18425,18425,What happens to the mean of the sampling distribution of the sample mean when the sample size increases
18426,18426,Is a matrix a linear transformation
18427,18427,What is trace in matrices
18428,18428,Are matrices linear operators
18429,18429,How is averaging useful
18430,18430,Why is mean the average
18431,18431,What is meant by cross entropy
18432,18432,How do you get Overfitting
18433,18433,Can decision trees Overfit
18434,18434,How we can avoid the overfitting in decision tree
18435,18435,Are Decision Trees bad on outliers
18436,18436,Is data analytics and big data same
18437,18437,How does data analytics relate to big data
18438,18438,What is the difference between data science big data and data analytics
18439,18439,How do you find the weighted mean Likert scale
18440,18440,Why do we use asymptotic notations in the study of algorithms
18441,18441,Why do we need to do algorithm analysis
18442,18442,Why do we use asymptotic notations in the study of algorithms briefly describe the commonly used asymptotic notations with examples
18443,18443,What are the two methods to analyze the efficiency of an algorithm
18444,18444,How do you Analyse an algorithm
18445,18445,What are the factors that influence the efficiency of any algorithm
18446,18446,Can MSE be used for classification
18447,18447,What is RMSE in ML
18448,18448,How does backpropagation algorithm work
18449,18449,What can backpropagation be used to compute gradients for
18450,18450,What is Backpropagation ML
18451,18451,What Bayes theorem tells us
18452,18452,How do you find the threshold value in statistics
18453,18453,How do you read ROC curves
18454,18454,What is evaluation in machine learning
18455,18455,How do you analyze a machine learning model
18456,18456,How the performance of an algorithm is evaluated
18457,18457,How an algorithm is analyzed
18458,18458,How do you evaluate algorithms
18459,18459,What is a very useful technique for assessing the performance of machine learning model
18460,18460,Does data need to be normal for linear regression
18461,18461,How do you Analyse ordinal data
18462,18462,What test is used for ordinal data
18463,18463,How do you analyze ordinal data in SPSS
18464,18464,Is Least Squares A linear regression
18465,18465,What is least square regression used for
18466,18466,Why is the least squares regression line
18467,18467,Are neural networks machine learning
18468,18468,Is machine learning and AI the same
18469,18469,Is artificial neural network supervised learning
18470,18470,Is a neural network AI
18471,18471,How fast are neural networks
18472,18472,What are the different types of bias in research
18473,18473,What does RBM mean in texting
18474,18474,What is mean by RBM
18475,18475,What does noba stand for
18476,18476,What does batch size means
18477,18477,What is the relationship between descriptive and inferential statistics
18478,18478,What are two common descriptive statistics
18479,18479,What is information gain in decision trees
18480,18480,What is information gain in data science
18481,18481,What is information gain and entropy
18482,18482,What is the main drawback of the information gain metric in decision trees
18483,18483,Why do we prefer information gain over accuracy when splitting
18484,18484,Can the value of information gain be negative
18485,18485,What is the use of information gain
18486,18486,What does the regression value tell us
18487,18487,What does the r2 value mean
18488,18488,What does Alpha represent in regression
18489,18489,What is B and beta in regression analysis
18490,18490,What is alpha in multiple regression
18491,18491,What is cost function logistic regression
18492,18492,What is the function of logistic regression
18493,18493,What are LSI keywords
18494,18494,Which is the tool to research keywords
18495,18495,Can we use DFS for Shortest Path
18496,18496,Which algorithm is used to find shortest path
18497,18497,How do you find the PDF of a function of a random variable
18498,18498,What is the law of a random variable
18499,18499,What is N in grouped data
18500,18500,What is the median of 2 numbers
18501,18501,What is the formula for median of grouped data
18502,18502,How do you interpret confidence intervals in regression
18503,18503,What is a confidence interval in research
18504,18504,What is considered a large confidence interval
18505,18505,What is the use of multitasking
18506,18506,What part of the brain helps you multitask
18507,18507,How do you use multitasking in a sentence
18508,18508,Is Anova a parametric test
18509,18509,Is Anova a non parametric test
18510,18510,Is 2 way Anova parametric or nonparametric
18511,18511,What kind of test is Anova
18512,18512,When can it be appropriate to use non parametric tests
18513,18513,How do I know my lens filter size
18514,18514,Does filter size matter
18515,18515,What is your preferred learning style and why answer
18516,18516,How many searching techniques are there in data structure
18517,18517,Which of the following statements about an interpolation search is true
18518,18518,What makes something a Markov chain
18519,18519,Can we use SVM for image classification
18520,18520,What is binary classification machine learning
18521,18521,Which is not an example of continuous variable
18522,18522,Which of the following is a continuous variable
18523,18523,What is the experimental group
18524,18524,What do you mean by experimental
18525,18525,What is the meaning of experimental group
18526,18526,What is experimental variable example
18527,18527,How do you find the experimental variable
18528,18528,What is an experimental variable quizlet
18529,18529,What are the two groups in experimental design
18530,18530,Can we use RNN for image processing
18531,18531,How do you train images in a neural network
18532,18532,How does neural network work in image processing
18533,18533,How many images do you need to train a neural network
18534,18534,What is the difference between sample survey and census
18535,18535,Why use a sample instead of a census
18536,18536,What are the advantages and disadvantages of sample survey
18537,18537,What does it mean when a distribution is skewed
18538,18538,What does it mean when the distribution of data is skewed to the right quizlet
18539,18539,How do you interpret a right skewed histogram
18540,18540,How do you find the stratified sample size
18541,18541,Does stratification increase sample size
18542,18542,What is stratified random sampling
18543,18543,Is SRS stratified sampling
18544,18544,What is the difference between simple random sampling and stratified sampling
18545,18545,How many types of transfer of learning are there
18546,18546,What are the principles of transfer of learning
18547,18547,What are the four sources of error in measurement
18548,18548,What are the sources of measurement error
18549,18549,Is ReLU a loss function
18550,18550,What does spatial autocorrelation mean
18551,18551,What is positive spatial autocorrelation
18552,18552,What is AI ML
18553,18553,What is deep learning in ML
18554,18554,How does AlphaZero learn
18555,18555,When was Alpha Go created
18556,18556,Why is backward elimination used
18557,18557,Why is it important to use separate training and test sets
18558,18558,Why do we split data in machine learning
18559,18559,How do you split a training and validation set
18560,18560,Why do we divide the data into train and test
18561,18561,Why do we need to split data mining
18562,18562,What does NMF mean
18563,18563,How do you find the linear transformation of a matrix
18564,18564,How do you calculate percentile
18565,18565,How do you calculate linear regression equation
18566,18566,What is the primary role of statistics in predictive analytics
18567,18567,What are the three pillars of predictive analytics
18568,18568,What questions can be answered using predictive analytics
18569,18569,What are the data used to make the predictive analytics solution work
18570,18570,Where do you think predictive analytics can be applied
18571,18571,What is first order Markov chain
18572,18572,What do you mean by convolution
18573,18573,What is convolution property of DFT
18574,18574,What is a convolution function
18575,18575,What is the definition of convolution
18576,18576,What is the physical meaning of convolution
18577,18577,What is the purpose of a correlation analysis
18578,18578,What do correlations between variables tell us
18579,18579,What conclusions can you draw from bivariate correlational Analyses
18580,18580,What is another word for bivariate
18581,18581,How does Altman calculate z score
18582,18582,Why do we calculate z scores
18583,18583,What does it mean when the z score is high
18584,18584,What does the Altman Z score tell you
18585,18585,What is the statistical formula for mean
18586,18586,What do you mean by mean in statistics
18587,18587,What does Kalman filter do
18588,18588,What are the advantages and disadvantages of Randomised control trials
18589,18589,What are three reasons that randomized controlled trials may not detect important safety issues
18590,18590,What are the benefits of Randomised control trials
18591,18591,How are sensitivity and specificity related
18592,18592,How does an inverted index work
18593,18593,What is an interaction term
18594,18594,How do you interpret interaction terms
18595,18595,What does an interaction plot tell you
18596,18596,What if interaction term is not significant
18597,18597,What does statistical interaction mean
18598,18598,How do you do interaction terms in regression
18599,18599,How do you create an interaction term in SPSS
18600,18600,How do you interpret a plot
18601,18601,How do you interpret negative interaction terms
18602,18602,Is K means used for classification
18603,18603,What is the output of K means
18604,18604,What is the purpose of statistical inferences ie determining statistical significance )
18605,18605,What is the meaning of the term statistical inference quizlet
18606,18606,What is the benefit of using inferential statistics in psychological research
18607,18607,What is meant by non parametric test
18608,18608,What does parametric and nonparametric mean
18609,18609,What does parametric data mean
18610,18610,What is the relationship between Type 1 and Type 2 errors
18611,18611,How do you control confounding analysis
18612,18612,What is stratified analysis
18613,18613,How do you control for confounding variables in multivariate analysis
18614,18614,What does stratify data mean
18615,18615,Which of the following model learns the word Embeddings based on the co occurrence of the words in the corpus
18616,18616,How are Word embeds trained
18617,18617,Which layer of the skip gram model has the actual word embedding representation
18618,18618,What Kappa means
18619,18619,How do you calculate kappa value
18620,18620,What is Adaptive Linear Neuron
18621,18621,How can genetic algorithms be used to train recurrent neural networks
18622,18622,What algorithm allows neural networks to train
18623,18623,What is an appropriate distance measure to use for hierarchical clustering and why
18624,18624,What is the definition of unbiased
18625,18625,What do you mean by predictive analytics along with decision tree
18626,18626,How does random forest calculate probability
18627,18627,How do you read a mixed effect model
18628,18628,What is the difference between fixed effect and random effect models
18629,18629,Is color a qualitative data
18630,18630,What can be done with big data
18631,18631,What are benefits of big data
18632,18632,What are big data technologies used for
18633,18633,What are problems associated with big data
18634,18634,What is big data and its challenges
18635,18635,What is meant by false dichotomy
18636,18636,What is an example of a dichotomy
18637,18637,Is a false dichotomy and a false dilemma the same thing
18638,18638,How do you find the predicted value in regression
18639,18639,How do you determine linear regression
18640,18640,How do you find the predicted value and residuals
18641,18641,How do you find the predicted value in SPSS
18642,18642,Why is the harmonic series called Harmonic
18643,18643,What does it mean to be binomial
18644,18644,What is not a probability distribution
18645,18645,How do you know if a table shows a probability distribution
18646,18646,What does a discrete probability distribution look like
18647,18647,What does Chebyshev's inequality say
18648,18648,What is inter group bias
18649,18649,How can we avoid in group bias
18650,18650,What is the ingroup outgroup phenomenon
18651,18651,What are the characteristics associated with the out group
18652,18652,What is data analytics course
18653,18653,What is the difference between a frequency table and a relative frequency table
18654,18654,What is the difference between a frequency and relative frequency histogram
18655,18655,What is meant by relative frequency
18656,18656,What is the difference between frequency table and frequency distribution
18657,18657,How do you describe a frequency distribution table
18658,18658,What is an example of relative frequency probability
18659,18659,How do you find bias in linear regression
18660,18660,What is bias term in linear regression
18661,18661,What is the bias term
18662,18662,Is logistic regression unbiased
18663,18663,How is logistic regression calculated
18664,18664,How do you calculate logistic regression
18665,18665,What is the syntax for logistic regression model
18666,18666,What is the optimal decision strategy for the problem
18667,18667,What are pipelines give examples
18668,18668,What is a two tailed null hypothesis
18669,18669,What does a two tailed hypothesis predict
18670,18670,What is a two tailed hypothesis example
18671,18671,What is a two tailed hypothesis
18672,18672,What is the alternative hypothesis for this situation
18673,18673,Which hypothesis is tested null or alternative
18674,18674,What is the null and alternative hypothesis
18675,18675,Is the alternative hypothesis one sided or two sided
18676,18676,How do you know if events are mutually exclusive or independent
18677,18677,What does the dependent variable represent
18678,18678,Is the Dependant variable The outcome
18679,18679,Is Multicollinearity a problem in clustering
18680,18680,Is K means clustering sensitive to outliers
18681,18681,What is the minimum no of variables features required to perform clustering
18682,18682,How do you evaluate a clustering performance
18683,18683,How do you validate clustering results
18684,18684,What is cluster evaluation
18685,18685,What are the major tasks in clustering evaluation
18686,18686,What is a disadvantage of a histogram
18687,18687,What is the advantage of a dot plot over a histogram
18688,18688,What are the disadvantages of using a histogram instead of a dot plot
18689,18689,What is the difference between a dot plot and a histogram
18690,18690,What does a negative chi square mean
18691,18691,Why is chi squared one sided
18692,18692,Can chi squared be 0
18693,18693,When would you use bootstrap sampling
18694,18694,Why must sample size be considered in estimation
18695,18695,Why self selection bias is a concern for survey design
18696,18696,How do you deal with categorical variables
18697,18697,How do you deal with large number of categorical variables
18698,18698,How do you use dummy variables in regression
18699,18699,How do dummy variables work in regression analysis
18700,18700,What happens if dependent variable is a dummy variable
18701,18701,Why is association not causation
18702,18702,What does Association does not imply causation mean
18703,18703,What is association and causation
18704,18704,How are Likert scales measured
18705,18705,How do you Analyse Likert scale data in SPSS
18706,18706,How do you analyze data from a Likert scale
18707,18707,How do you Analyse questionnaire data in SPSS
18708,18708,What is the systematic random sampling method
18709,18709,How do you calculate systematic random sampling
18710,18710,What is systematic sampling method
18711,18711,What are the steps in sampling process
18712,18712,What is sampling steps and types
18713,18713,What is the example of statistics
18714,18714,What is the discrete probability distribution
18715,18715,What are discrete probability functions
18716,18716,How do you find the discrete distribution
18717,18717,Can an absolute max be a local Max
18718,18718,What is the difference between absolute extrema and local extrema
18719,18719,Do all functions have local extrema
18720,18720,Is date quantitative or qualitative
18721,18721,Why are sampling distributions useful
18722,18722,How do you find the shape of a sampling distribution
18723,18723,How do you find the cosine similarity between two strings
18724,18724,How do you compare two strings in darts
18725,18725,How do you find the common words in two strings in python
18726,18726,How do you find common characters in two strings
18727,18727,How do you find the common element in a list Python
18728,18728,How do you compare two strings in python
18729,18729,Can we compare two strings
18730,18730,Does sample size affect R Squared
18731,18731,Why does sample size affect the significance of R
18732,18732,Does sample size affect validity
18733,18733,Is correlation affected by sample size
18734,18734,What is a good sample size for correlation
18735,18735,How does sample size affect R Squared
18736,18736,What increases r squared
18737,18737,Is R Squared affected by outliers
18738,18738,How does sample size affect reliability
18739,18739,What is sample size and why is it important
18740,18740,How big of a sample size do I need to be statistically significant
18741,18741,What is R and R2 in regression
18742,18742,What is difference between r2 and r2
18743,18743,Why do we use r squared instead of R
18744,18744,What is the relationship between arithmetic mean and geometric mean
18745,18745,What letter is gamma
18746,18746,What is Gamma
18747,18747,How do you find the distribution of data in statistics
18748,18748,What is mean median mode example
18749,18749,How does median differ from average
18750,18750,What is the difference between median age and average age
18751,18751,What is the purpose of a factorial
18752,18752,How do you explain Factorials
18753,18753,What is a factorial of 8
18754,18754,How do you calculate a factorial
18755,18755,What is Lasso ridge regression
18756,18756,What do residuals show in linear regression
18757,18757,What does the residual represent
18758,18758,What does a linear residual plot mean
18759,18759,How do you know if a residual plot is linear
18760,18760,When the regression line is linear
18761,18761,How do you interpret residual value
18762,18762,What are residuals and fitted values
18763,18763,How do you interpret a residual plot
18764,18764,How does the normal probability plot of the residuals show that the residuals are normally distributed
18765,18765,What does it mean if residuals are normally distributed
18766,18766,How does confusion matrix work
18767,18767,How do you choose a classifier for machine learning
18768,18768,What is p value in goodness of fit test
18769,18769,How are the expected values computed for the goodness of fit test
18770,18770,How do you find the expected frequency in a chi square goodness of fit
18771,18771,What does chi square test tell you
18772,18772,What is chi square test and its uses
18773,18773,Can paired categorical data can be examined using a chi square test
18774,18774,How is a chi square test carried out what do its results tell you what types of data are suitable for chi square analysis
18775,18775,How do you find the cross product of a vector
18776,18776,What is the cross product of the same vector
18777,18777,Does cross product give you a vector
18778,18778,Will the cross product of two vectors be zero
18779,18779,What is the formula of cross product of two vectors
18780,18780,How do you find the normal vector of a vector field
18781,18781,What does normal vector mean
18782,18782,What is dependent and independent variable in regression analysis
18783,18783,What is the meaning of dependent and independent variables
18784,18784,How do I know what the dependent variable is
18785,18785,What is an MLP classifier
18786,18786,What is the meaning of binary search
18787,18787,What is binary search tree explain with example
18788,18788,How do you do a binary search
18789,18789,What is data augmentation in image processing
18790,18790,How do you augment a dataset
18791,18791,What is the difference between systematic sampling and cluster sampling
18792,18792,What is the mean of the distribution of sample means
18793,18793,What is the approximate distribution
18794,18794,Why do we approximate sampling distribution
18795,18795,How do you know if a sampling distribution is approximately normal
18796,18796,What are descriptive and predictive data mining
18797,18797,What is predictive research
18798,18798,Is clustering predictive or descriptive
18799,18799,Is machine learning predictive analytics
18800,18800,What is the difference between predictive and prescriptive analytics
18801,18801,What is predictive and descriptive data mining
18802,18802,What is predictive data mining
18803,18803,What is descriptive learning in machine learning
18804,18804,What are the key elements of machine learning
18805,18805,Which of the following activation functions can be used for multi class classification
18806,18806,Which method is used at the output layer for classification
18807,18807,Why do we use sigmoid
18808,18808,Can sigmoid be used for multiclass classification
18809,18809,How do you find the consistency of data
18810,18810,What does consistency of data imply
18811,18811,What is consistency in big data
18812,18812,How do you ensure data consistency
18813,18813,What makes a good test statistic
18814,18814,Is test statistic the same as P value
18815,18815,What is gradient descent optimizer
18816,18816,What is optimization gradient
18817,18817,What is cost function in gradient descent
18818,18818,How do you calculate variance in research
18819,18819,What does the variance of the estimate tell us
18820,18820,What is variance of sample mean
18821,18821,What is normal distribution and uniform distribution in statistics
18822,18822,What is uniform distribution used for
18823,18823,When it is appropriate to use uniform distribution to describe a random variable
18824,18824,Which of the following test is used to check for uniformity
18825,18825,What is frequency testing
18826,18826,What does it mean to optimize something
18827,18827,What does it mean to optimize performance
18828,18828,What is the antonym of Optimise
18829,18829,What does the word optimized mean
18830,18830,How do you use optimize in a sentence
18831,18831,What are the two benefits of NAT
18832,18832,Which of the following is a disadvantage of network address translation NAT
18833,18833,What are the benefits of NAT
18834,18834,What are two benefits of NAT choose two
18835,18835,What are the two basic types of NAT
18836,18836,What is residue in residual network
18837,18837,How do robots and artificial intelligence work together
18838,18838,What is difference between robot and AI
18839,18839,How does AI work in robotics
18840,18840,What is the difference between artificial intelligence and robotics
18841,18841,Does robotics use AI
18842,18842,What is the Contrapositive of inverse of inverse
18843,18843,How do you find the inverse and Contrapositive of a converse
18844,18844,Which of the expert system uses backward chaining
18845,18845,What is forward chaining in expert system
18846,18846,What is face detection in image processing
18847,18847,What is facial recognition used for
18848,18848,What are the features of face recognition
18849,18849,How can a decision tree improve accuracy
18850,18850,How do you measure accuracy
18851,18851,What is Max depth in decision tree
18852,18852,What is the output of a decision tree
18853,18853,How do you read a decision tree output
18854,18854,What does a decision tree tell you
18855,18855,What is AI not AI
18856,18856,What is AI and what isn t
18857,18857,What's the opposite of artificial intelligence
18858,18858,Is Artificial Intelligence possible
18859,18859,How reliable is Artificial Intelligence
18860,18860,How is artificial intelligence being used today
18861,18861,What are the classifications of data mining clustering
18862,18862,What is sample in statistics
18863,18863,How do you find a sample in statistics
18864,18864,What is population and sample with example
18865,18865,What is population sampling method
18866,18866,Why is population sampling important
18867,18867,Is sample mean and mean the same
18868,18868,What is the example of sample
18869,18869,How are algorithms used in social media
18870,18870,What does algorithm mean in social media
18871,18871,How do algorithms work on Facebook
18872,18872,How does an algorithm work
18873,18873,How do you handle outliers
18874,18874,Is Xgboost sensitive to outliers
18875,18875,What is outlier in clustering
18876,18876,Is Perceptron feed forward neural network
18877,18877,What is a Perceptron model
18878,18878,What is alpha and beta in beta distribution
18879,18879,What is alpha in gamma distribution
18880,18880,What is the mode of a gamma distribution
18881,18881,What is P and Q in logic
18882,18882,What does P Q mean
18883,18883,What is logically equivalent to p q
18884,18884,Which of the following is logically equivalent to ∼ P ⇒ Q
18885,18885,What is P <-> Q
18886,18886,What is bias in model
18887,18887,What is AB testing on Facebook
18888,18888,What are rules of probability
18889,18889,What are the laws of probability in statistics
18890,18890,What are the steps in constructing a probability distribution
18891,18891,What is the formula for a linear line
18892,18892,What is the formula for a linear function
18893,18893,How do you determine linear
18894,18894,Is there a linear relationship between the two variables
18895,18895,How do you know if two variables have a linear relationship
18896,18896,When there is a nonlinear relationship between two variables
18897,18897,What is the relationship between these two variables
18898,18898,What is the definition of sample mean
18899,18899,What effect does population size have on sample size
18900,18900,What happens to the mean when the sample size decreases
18901,18901,What is AR and MA in Arima
18902,18902,What is the difference between ARMA and Arima
18903,18903,What does a negative R squared value mean
18904,18904,What does a negative slope coefficient mean
18905,18905,What does negative R2 value mean
18906,18906,What does 1 minus r squared mean
18907,18907,What do R2 values tell us
18908,18908,Can adjusted R squared be negative
18909,18909,How do you interpret adjusted R squared
18910,18910,What does gradient descent algorithm do
18911,18911,What is Epsilon decay
18912,18912,Is Q learning reinforcement learning
18913,18913,How do you test if there is a linear relationship
18914,18914,What is linear correlation in statistics
18915,18915,What is a test statistic value
18916,18916,How do you validate a linear regression model
18917,18917,What is Association Rule Discovery
18918,18918,What is association rule mining used for
18919,18919,What are the different types of probability distributions
18920,18920,What are the two continuous probability distributions
18921,18921,How do you find the theoretical probability distribution
18922,18922,What is the difference between hypothesis testing and confidence intervals
18923,18923,How do you reject a null hypothesis with a confidence interval
18924,18924,How do you interpret a varimax rotation
18925,18925,How do you interpret the results of factor analysis in SPSS
18926,18926,How do you report a loading factor
18927,18927,What are the real world applications of SVM
18928,18928,What is supervised and unsupervised learning
18929,18929,Can logistic regression be used for non linear classification
18930,18930,What is the purpose of reinforcement learning
18931,18931,Why do we use reinforcement in learning
18932,18932,What is interaction in logistic regression
18933,18933,How do you read a Gaussian curve
18934,18934,What does the p value represent
18935,18935,Which naive Bayes is used for text classification
18936,18936,What is naive Bayes classification algorithm
18937,18937,What do you mean by Bayesian classification
18938,18938,How do you use naive Bayes for text classification
18939,18939,How do you use naive Bayes for sentiment analysis
18940,18940,Why do we calculate standard error of the mean
18941,18941,What is the value of the standard error of the mean
18942,18942,What can we learn from machine learning
18943,18943,What is the difference between machine learning algorithms and traditional algorithms
18944,18944,What is machine learning and why is it important
18945,18945,Which moving average is best
18946,18946,What is the function of moving average
18947,18947,What do moving averages tell us
18948,18948,What does a moving average tell you
18949,18949,What is Rasch measurement model
18950,18950,What is Rasch Unit
18951,18951,What is a good RIT score
18952,18952,What does RIT stand for
18953,18953,How do you determine the size of a histogram bin
18954,18954,What is the bin size of a histogram
18955,18955,What are bins in a histogram
18956,18956,How do you determine the bin for a histogram
18957,18957,How does bin width affect histogram
18958,18958,What are bins Matlab
18959,18959,What does the activation function do
18960,18960,What does Zfill mean in Python
18961,18961,What is Rjust in Python
18962,18962,What does it mean if two means are significantly different
18963,18963,How do you determine if there is a statistically significant difference in Excel
18964,18964,How do you compare sample means
18965,18965,What test is used to compare two means
18966,18966,Are neural networks supervised or unsupervised learning
18967,18967,Can neural networks be used for supervised learning
18968,18968,Can deep neural networks be trained in an unsupervised way
18969,18969,What is supervised learning in deep learning
18970,18970,Is neural network supervised learning
18971,18971,Is a neuron and a nerve cell the same thing
18972,18972,What is the difference between probability and non probability sampling
18973,18973,What is non probability sampling in qualitative research
18974,18974,What is a probability sampling technique
18975,18975,What is Visualisation in big data
18976,18976,What are the types of data visualization
18977,18977,What is Data Visualization in Data Analytics
18978,18978,What is meant by percentile
18979,18979,How do you find percentile from standard deviation
18980,18980,How do you find the percentile with mean and standard deviation on a TI 84
18981,18981,What percentile is 2 standard deviations from the mean
18982,18982,Why do neural networks need nonlinearities
18983,18983,Why do we need activation function in neural network
18984,18984,What is linearity in machine learning
18985,18985,What is linearity and non linearity
18986,18986,What is nonlinear learning
18987,18987,Which of the following gives non linearity to a neural network
18988,18988,What are the different types of concept
18989,18989,What is the difference between categories and concepts
18990,18990,What are residuals in regression
18991,18991,How do you find residuals on TI 84
18992,18992,What do residuals represent
18993,18993,What is the purpose of residual analysis
18994,18994,How do you get residuals on TI 84
18995,18995,How do you find the residual
18996,18996,How are outliers treated
18997,18997,When can Outliers be removed
18998,18998,Why do you think that cluster sampling is frequently used in practice
18999,18999,Why is cluster sampling the most preferred sampling
19000,19000,What is cluster sampling and when is most appropriately used
19001,19001,What is a cluster sampling design
19002,19002,Why do we standardize normal distribution
19003,19003,How do we standardize a normal distribution
19004,19004,What does standardized mean in statistics
19005,19005,What does it mean to standardize data
19006,19006,Why do we standardize or normalize data
19007,19007,What can be the disadvantage if the learning rate is very high in gradient descent
19008,19008,What is gradient descent in deep learning
19009,19009,What problems AI can solve
19010,19010,How can AI solve problems
19011,19011,What is the difference between Anova and Kruskal Wallis
19012,19012,What does deeper learning mean
19013,19013,What are the core skills for deeper learning
19014,19014,How do you develop meaningful learning experiences
19015,19015,Why do we calculate range
19016,19016,What is the range of the data
19017,19017,What does range Tell us about data
19018,19018,What does Range mean
19019,19019,What is high bias and high variance
19020,19020,What is object identification
19021,19021,How do you identify the subject and object
19022,19022,What is random variation give an example
19023,19023,How do you calculate random variation
19024,19024,What is a single agent
19025,19025,What is a rational agent in artificial intelligence
19026,19026,What is the purpose of Z test
19027,19027,What are the conditions for using t test
19028,19028,What is the difference between supervised learning and unsupervised learning explain using suitable examples
19029,19029,How do you describe accuracy and precision
19030,19030,How do you explain accuracy
19031,19031,How do you prove accuracy
19032,19032,What is meant by statistical power
19033,19033,What are four factors that influence statistical power
19034,19034,Why is statistical significance so important
19035,19035,What is a good statistical power
19036,19036,How do you interpret statistical power
19037,19037,How do you define statistical power
19038,19038,What is statistical power used for
19039,19039,What is practical significance in statistics
19040,19040,What is the minimum sample size for regression analysis
19041,19041,Do you need to scale data for linear regression
19042,19042,What do you need to run a regression
19043,19043,What limits the use of regression analysis
19044,19044,What happens if you increase the sample size
19045,19045,Is machine learning and AI same
19046,19046,What kind of data does a scatter plot use
19047,19047,What types of data are best portrayed with scatter plots
19048,19048,When use logistic regression vs SVM
19049,19049,What are support vectors SVR
19050,19050,What is the difference between SVR and SVM
19051,19051,What are the properties of a normal density curve
19052,19052,What are the characteristics of t distribution
19053,19053,What are the three properties of the standardized distribution
19054,19054,What is the mean of t distribution
19055,19055,What is the range of t distribution
19056,19056,Which of the following are characteristics of a normal distribution quizlet
19057,19057,What are the 3 properties of distribution
19058,19058,What are the four properties of a normal distribution
19059,19059,What is meant by distribution function
19060,19060,What is the 2 norm of a vector
19061,19061,What does norm of a vector mean
19062,19062,What is the two norm
19063,19063,How do you find the norm of a function
19064,19064,What is a hazard rate in probability
19065,19065,What are the real world applications of image processing
19066,19066,Why is weight initialization important in a neural network
19067,19067,Why do we need deep neural networks
19068,19068,What is the relationship between correlation and regression coefficient
19069,19069,Is correlation coefficient the same as regression coefficient
19070,19070,What is the relationship between R and r2
19071,19071,How does correlation affect regression
19072,19072,What is the relationship between the linear correlation r and the slope b1 of a regression line
19073,19073,What is the t test statistic and how is it interpreted quizlet
19074,19074,What is a test statistic and what does it tell us
19075,19075,What is probability sampling and its types
19076,19076,What is the definition and type of sampling
19077,19077,Is probability sampling better than Nonprobability sampling
19078,19078,What is Ridge linear regression
19079,19079,What is balanced accuracy in confusion matrix
19080,19080,How does CNN model work
19081,19081,What is CNN in deep learning
19082,19082,Which layer is used to extract features
19083,19083,What is convolution layer responsible for
19084,19084,What is the general principle of an ensemble method
19085,19085,What body parts are used for measurements
19086,19086,In what ways do we use measurement
19087,19087,How do you take body measurements
19088,19088,How are units measured
19089,19089,When taken around the parts of the body to be measured it is called
19090,19090,How do you find y bar in statistics
19091,19091,What does Y with a bar over it mean in statistics
19092,19092,What does it mean when a variable has a line over it
19093,19093,What is Y in statistics
19094,19094,How do you calculate y estimate
19095,19095,How do you find y in a regression
19096,19096,How do you calculate Y cap in regression
19097,19097,What does statistical significance mean quizlet
19098,19098,What does statistically significant mean in statistics
19099,19099,How is statistical significance measured and what determines if a result is statistically significant
19100,19100,How can deep learning improve accuracy
19101,19101,How can accuracy of classification be improved
19102,19102,What does annotated images mean
19103,19103,What is annotation in image processing
19104,19104,What is the significance F in regression
19105,19105,Is the F distribution skewed
19106,19106,What is a good f value
19107,19107,What does the F value mean
19108,19108,How do you interpret F value in regression
19109,19109,What distribution is used for Anova
19110,19110,Does Anova use F distribution
19111,19111,How do you find the f value in Anova
19112,19112,Does Anova assume normal distribution
19113,19113,What is Anova output
19114,19114,What is considered a low coefficient of variation
19115,19115,Can you have a negative coefficient of variation
19116,19116,How do you compare variability of two variables
19117,19117,Why does matrix exist
19118,19118,What exactly is the Matrix
19119,19119,What is the idea behind the Matrix
19120,19120,Is linear regression same as best fit
19121,19121,How do you interpret least squares
19122,19122,What does SVC stand for machine learning
19123,19123,What does C do in SVM
19124,19124,What do you mean by backpropagation in neural network
19125,19125,Why do we need backpropagation in neural network
19126,19126,Should I use keras or TensorFlow
19127,19127,Where is geometric mean used
19128,19128,What is normally distributed data examples
19129,19129,How do you know if data is normally distributed using standard deviation
19130,19130,How do you determine if a distribution is approximately normal
19131,19131,How does estimation contribute to statistics
19132,19132,What is the null hypothesis for F test
19133,19133,How do you find the test statistic F
19134,19134,When the null hypothesis is false the F statistic is
19135,19135,What is omnibus null hypothesis
19136,19136,What is the omnibus test in Anova
19137,19137,Why is the Gini Coefficient important
19138,19138,How do you calculate Gini coefficient
19139,19139,How do you interpret Gini coefficient
19140,19140,What does the intercept tell us
19141,19141,How do you interpret slope and intercept
19142,19142,What are smoothing methods
19143,19143,Which is not the data smoothing technique
19144,19144,What is the purpose of exponential smoothing
19145,19145,How do you do exponential smoothing
19146,19146,What value should I use for the smoothing constant
19147,19147,What is the range of smoothing constant alpha
19148,19148,How do you describe a linear regression line
19149,19149,What is disparate treatment quizlet
19150,19150,What is meant by image annotation
19151,19151,What is data annotation in machine learning
19152,19152,How do you annotate data
19153,19153,What are data annotations
19154,19154,What is data labeling and annotation
19155,19155,How many variables are needed for regression analysis
19156,19156,What does greedy algorithm mean
19157,19157,What is meant by greedy algorithm
19158,19158,What are greedy algorithms used for
19159,19159,How do you find the similarity between two time series
19160,19160,How do you evaluate a ML model
19161,19161,How do you cross validate in machine learning
19162,19162,What AI means
19163,19163,How do I convert EFX to Bitcoin
19164,19164,What is test set in data mining
19165,19165,Why do we need usability testing
19166,19166,What is user testing and why is it important
19167,19167,When should usability testing be carried out
19168,19168,What is the purpose of usability testing
19169,19169,How do you use usability testing
19170,19170,What is usability testing example
19171,19171,What does testing for usability mean
19172,19172,Which technique is used for usability testing
19173,19173,Is .01 a strong correlation coefficient
19174,19174,Is 0.02 a weak correlation
19175,19175,What is pattern in neural network
19176,19176,What is deep learning and neural networks
19177,19177,Is artificial neural network deep learning
19178,19178,What is a neural network AI
19179,19179,What are some data analysis methods
19180,19180,What is the formula for finding outliers
19181,19181,How do you determine if a score is an outlier
19182,19182,What does sensitivity mean in statistics
19183,19183,How do you calculate FPR and TPR
19184,19184,How is FPR calculated
19185,19185,What is TPR in machine learning
19186,19186,How do you find the conditional distribution in statistics
19187,19187,What is a marginal distribution in statistics
19188,19188,What is meant by a conditional distribution quizlet
19189,19189,How do you find the marginal distribution function
19190,19190,What does marginal probability mean
19191,19191,How do you get rid of Multicollinearity
19192,19192,How can Multicollinearity be resolved
19193,19193,How do I remove correlated features
19194,19194,How do you handle correlated data
19195,19195,What are the applications and limitations of dimensional analysis
19196,19196,What are the uses of dimensional analysis explain with one example
19197,19197,How do you find the variance of a discrete random variable
19198,19198,How do you find the standard deviation of an independent random variable
19199,19199,How do you find the variance of a random variable
19200,19200,What is the shortcut to find variance
19201,19201,What is a model and why do we use them
19202,19202,What is meant by model and modeling
19203,19203,How would you define a model
19204,19204,What is model description
19205,19205,What is geometric
19206,19206,Why is the geometric mean used
19207,19207,What is the difference between Ridge and lasso
19208,19208,How do you sketch probability distribution
19209,19209,What does a probability distribution represent
19210,19210,What does a probability distribution tell you about an experiment
19211,19211,How do you determine if a distribution represents a probability distribution
19212,19212,What does a probability distribution look like
19213,19213,What is the normal distribution equation
19214,19214,Can I take linear algebra before calculus
19215,19215,Why should I learn linear algebra
19216,19216,What should I take before linear algebra
19217,19217,What does Q value mean
19218,19218,What is the value of Q in statistics
19219,19219,How do you interpret Q value
19220,19220,What is Q in meta analysis
19221,19221,What is Q equation
19222,19222,Can Lasso be used for variable selection
19223,19223,Which type of regularization can help in feature selection
19224,19224,What does the binomial distribution formula do
19225,19225,What is searching in artificial intelligence
19226,19226,What are the components of artificial intelligence
19227,19227,What is importance of artificial intelligence
19228,19228,What algorithms are used in AI
19229,19229,What are the limitations of linear probability model
19230,19230,What is a logit value
19231,19231,Why do we take log in logistic regression
19232,19232,What is IA technology
19233,19233,How AI is different from general intelligence
19234,19234,What does logarithmic growth mean
19235,19235,What does a logarithmic scale show
19236,19236,How do you plot a log log graph
19237,19237,How do you tell if a graph is exponential or logarithmic
19238,19238,How can models improve performance
19239,19239,How does Skip gram model work
19240,19240,What is a Skipgram
19241,19241,Which of the following model predicts if a word is a context of another word or not
19242,19242,Which model predicts if a word is a context of another word or not
19243,19243,What is a skip gram model
19244,19244,What conclusions can be drawn from a box plot
19245,19245,What does a convolution layer do
19246,19246,What is a convolution layer in CNN
19247,19247,What is a layer in CNN
19248,19248,What is the use of convolutional layer
19249,19249,Is UNet a FCN
19250,19250,What is the class boundary
19251,19251,What is backtracking algorithm with example
19252,19252,Which search is used for backtracking
19253,19253,Which data structure is used in backtracking
19254,19254,Is backtracking same as recursion
19255,19255,What is backtracking approach
19256,19256,What is difference between backtracking and branch and bound
19257,19257,What is the need of bias in neural network
19258,19258,What do you mean by quantization process
19259,19259,What is quantization and its types
19260,19260,What is the definition of quantized
19261,19261,How do you do quantization
19262,19262,What is quantization step
19263,19263,What does the quantize feature do
19264,19264,What is quantization formula
19265,19265,What are quantization levels
19266,19266,How do you calculate Quantisation error
19267,19267,How does a logarithmic scale work
19268,19268,What does logarithmic chart mean
19269,19269,How do you convert linear log to scale
19270,19270,How is a logarithmic scale different from a linear scale
19271,19271,How do you make a logarithmic scale
19272,19272,How do I get long gamma
19273,19273,What does beta distribution model
19274,19274,How do you find the alpha and beta for a gamma distribution
19275,19275,How do you calculate gamma distribution in Excel
19276,19276,How do you become a predictive analyst
19277,19277,How do you do data representation
19278,19278,What is data representation and its types
19279,19279,How many types of data representation are there
19280,19280,What is memory representation What are its types
19281,19281,Why would you use different representations to display data
19282,19282,What is the purpose of data visualization
19283,19283,How data is represented
19284,19284,What are the types of data representation
19285,19285,What are the advantages and disadvantages of using random sampling
19286,19286,When should simple random sampling be used
19287,19287,What are the disadvantages of sample survey
19288,19288,What are advantages of cluster sampling
19289,19289,What is VC dimension in neural network explain with example
19290,19290,What is a scatterplot and how does it help us
19291,19291,How do you define a scatter plot
19292,19292,How do I activate TensorBoard
19293,19293,How is Jaccard coefficient calculated
19294,19294,How is matching coefficient calculated
19295,19295,What do mean by random variable differentiate between discrete random variable & continuous random variable with the help of an example
19296,19296,Why is a random variable random
19297,19297,What is the mean of a random variable called
19298,19298,How do you prove something is a random variable
19299,19299,Is SVM better than random forest
19300,19300,What is the application of CNN
19301,19301,What is CNN discuss various applications of CNN
19302,19302,What are the application of neural network
19303,19303,What does data Labelling mean
19304,19304,What is labeled data in machine learning
19305,19305,How do I learn data labeling
19306,19306,How do you label a dataset
19307,19307,Which approach is used for automatic labeling
19308,19308,How do you calculate rank rank correlation
19309,19309,What is the formula of rank difference method
19310,19310,How do you interpret Spearman's rank correlation
19311,19311,What is the difference between EMA and MA
19312,19312,What is the difference between simple moving average and weighted moving average
19313,19313,What makes a model nonlinear
19314,19314,What is a non linear regression model
19315,19315,How do you determine if a linear model is appropriate
19316,19316,How can you tell the difference between a linear and nonlinear function
19317,19317,How do you prove something is linear
19318,19318,What is maximum likelihood estimation in logistic regression
19319,19319,Why do we use MLE in logistic regression
19320,19320,What estimation techniques does the logistic regression model use
19321,19321,What is the difference between VAR and Vecm
19322,19322,What can we predict using the least squares method
19323,19323,How do you read the least squares regression line
19324,19324,What does a least squares regression line tell you
19325,19325,What does the regression equation predict
19326,19326,Do Neural networks have memory
19327,19327,What is the difference between Rand and Randn in Matlab
19328,19328,What is Numpy Randn
19329,19329,What is Normrnd Matlab
19330,19330,How do you choose a clustering method
19331,19331,Is AlphaGo AI
19332,19332,Is AlphaZero a neural network
19333,19333,How is AlphaZero programmed
19334,19334,Is AlphaZero a reinforcement learning
19335,19335,What is confidence in association rule mining
19336,19336,How do you calculate confidence in data mining
19337,19337,What is the purpose of an eigenvalue
19338,19338,Where are eigenvalues used
19339,19339,What do eigenvalues tell us about a matrix
19340,19340,What is the use of eigenvectors
19341,19341,What do eigen vectors indicate
19342,19342,What do the eigenvalues represent
19343,19343,What do positive eigenvalues mean
19344,19344,What do eigenvalues tell us about stability
19345,19345,What do the eigenvalues of a matrix represent
19346,19346,What is artificial intelligence engineering
19347,19347,Which is better random forest or logistic regression
19348,19348,What is the meaning of spectral
19349,19349,How do you use spectral in a sentence
19350,19350,What does spectral type mean
19351,19351,What is a spectral type in astronomy
19352,19352,What is the definition of spectral
19353,19353,What is the most common spectral type
19354,19354,What is optimization and its types
19355,19355,What are the two types of constraints in constrained optimization
19356,19356,What optimization means
19357,19357,What is the difference between predictive analytics and artificial intelligence
19358,19358,What is the difference between machine learning and predictive analytics
19359,19359,What is predictive analytics in machine learning
19360,19360,What do you mean by predictive analysis
19361,19361,What is the probability of two independent events occurring together
19362,19362,What happens if two events are independent
19363,19363,Why we need a function for a random variable
19364,19364,Is random variable a function or probability
19365,19365,What do you mean by random variables
19366,19366,How do you know if a correlation coefficient is significant
19367,19367,What are overlapping events in probability
19368,19368,What is the formula for finding the probability of intersecting events
19369,19369,How do you find the probability of either A or B
19370,19370,How do you learn linear algebra
19371,19371,Which is an example of a positive feedback loop quizlet
19372,19372,Which operation can be used in Gauss Jordan method
19373,19373,What are the steps of Gauss elimination method
19374,19374,Can we use column operations in Gauss Jordan method
19375,19375,Can any system of linear equations be solved by Gaussian elimination
19376,19376,What is the difference between Gaussian elimination and Gauss Jordan elimination
19377,19377,What does Gauss Jordan Elimination do
19378,19378,Why is normal distribution normal
19379,19379,What does it mean for a sample to be normally distributed
19380,19380,Why are the mean median and mode of a normal distribution all equal
19381,19381,How do you determine if a distribution is normal
19382,19382,How do you know if data is parametric
19383,19383,What makes data non parametric
19384,19384,What is the difference between parametric and nonparametric test
19385,19385,Which of the following is non parametric alternative for the t test
19386,19386,Is t test parametric or non parametric
19387,19387,What is the difference between parametric and non parametric
19388,19388,Whats parametric mean
19389,19389,What are the differences between parametric and nonparametric tests
19390,19390,What is an example of a parametric test
19391,19391,What is the synonym of target
19392,19392,What is a synonym for off target
19393,19393,What means target
19394,19394,What does the word target mean
19395,19395,What is a target person
19396,19396,Where is my nearest neighbor algorithm
19397,19397,What is the cluster sampling method
19398,19398,What is multi stage cluster sampling
19399,19399,What is a multistage sampling technique
19400,19400,Which of these is an example of multi stage sampling
19401,19401,How do you interpret Pearson correlation coefficient
19402,19402,How many types of expert systems are there
19403,19403,What are the different components of the expert system
19404,19404,How do you know if a linear regression model is good
19405,19405,What is a good R value in regression
19406,19406,How do you improve linear regression in R
19407,19407,How can we determine the best regression line for a set of data
19408,19408,How do you fit a regression model in R
19409,19409,Is variation the same as range
19410,19410,Is Variability a range
19411,19411,What does variation mean in statistics
19412,19412,Is the range a measure of center or variation
19413,19413,How do you find the range
19414,19414,How do you find the range of sample data
19415,19415,How do you find the range and standard deviation
19416,19416,Why is a variance a better measure of variability than the range
19417,19417,Why is variance positive
19418,19418,What is the difference between range and variance
19419,19419,What is the range variance and standard deviation
19420,19420,What is range of variation
19421,19421,What is range deviation
19422,19422,What is model accuracy
19423,19423,Does regularization increase training error
19424,19424,What does Fourier transform of a signal how does fourier transform work
19425,19425,What is Fourier transform used for
19426,19426,What is the Fourier transform of 1
19427,19427,How do you solve a Fourier transform example
19428,19428,What is the Fourier transform of unit step function
19429,19429,How do you find the Fourier series
19430,19430,How do you find the Fourier series coefficient of a signal
19431,19431,How do you find the Fourier transform of a periodic signal
19432,19432,How is a FFT calculated
19433,19433,How do you find the FFT of a signal in Matlab
19434,19434,What is the output of an FFT
19435,19435,Is stepwise regression multiple regression
19436,19436,Why is normal distribution so common
19437,19437,Why the normal distribution shows up so often in nature
19438,19438,Why is normal distribution continuous
19439,19439,What causes clumped distribution
19440,19440,Which is an example of a clumped distribution of a population
19441,19441,How do you find the X in a frequency distribution
19442,19442,What is X in frequency distribution table
19443,19443,How do you find the sample size in a frequency distribution table
19444,19444,How do you find the mean of X in grouped data
19445,19445,What is mean in grouped data
19446,19446,How is mean affected by sample size
19447,19447,What happens to the sample mean when the sample size increases
19448,19448,How does sample size affect standard deviation
19449,19449,Why the standard deviation of the sample mean becomes smaller when the sample size increases
19450,19450,How does the standard deviation of the sampling distribution change as we change the sample size
19451,19451,What does a larger sample size do
19452,19452,What is the difference between large sample and small sample
19453,19453,What is probability weighted average
19454,19454,How do you find the weighted mean percentage
19455,19455,Are machine learning algorithms biased
19456,19456,Which is example of AI
19457,19457,What happens if linear regression assumptions are violated
19458,19458,What do you do when regression assumptions are violated
19459,19459,What happens if OLS assumptions are violated
19460,19460,What are the critical assumptions of linear regression
19461,19461,How do you find the assumption of a linear regression
19462,19462,Can be used to check the assumptions of the regression model
19463,19463,How do you test the assumptions of linear regression in SPSS
19464,19464,How do you test the error of Independence
19465,19465,What are independent errors
19466,19466,How do you check if errors are normally distributed
19467,19467,What is said when the errors are not independently distributed
19468,19468,What are the assumptions of the error term in a regression model
19469,19469,What is factor in SPSS
19470,19470,How do you label factors in factor analysis
19471,19471,How do you choose a regression model
19472,19472,How do you use a regression model
19473,19473,What is the significance of the sampling distribution
19474,19474,What is the sampling distribution of a statistic and why is it important
19475,19475,What is the sampling distribution of the means
19476,19476,How is a sampling distribution created
19477,19477,What is the mean of the comparison distribution
19478,19478,What are the properties of the sampling distribution of the mean
19479,19479,How can you tell if two events are independent using conditional probability
19480,19480,For what value of P B will A and B be independent
19481,19481,What is a non linear activation function
19482,19482,Why we use an activation function in a Multilayer Perceptron
19483,19483,Why are neural networks nonlinear
19484,19484,Which of the following is non linearity to neural network
19485,19485,What is an eigen value and eigen vector
19486,19486,How do you calculate eigenvectors
19487,19487,What is the shortcut to find eigenvalues
19488,19488,How do you find eigenvectors of a 3x3 matrix
19489,19489,How do you find the eigenvalues of a 3 by 3 matrix
19490,19490,How do you calculate eigenvalues and eigenvectors
19491,19491,Does cluster sampling use precincts
19492,19492,What does cluster sampling mean
19493,19493,What is the purpose of chi square goodness of fit test
19494,19494,What is the difference between goodness of fit and test of independence
19495,19495,What is evaluated by the chi square test for goodness of fit quizlet
19496,19496,Why is a chi square goodness of fit test always a right tailed test
19497,19497,What is a chi square goodness of fit test
19498,19498,How is the chi square independence test similar to the goodness of fit test
19499,19499,Why is the phrase goodness of fit used to describe the type of hypothesis test considered in this section
19500,19500,What is the purpose of testing residuals
19501,19501,What does the standard deviation of residuals tell you
19502,19502,What does the residual mean
19503,19503,What is meant by the residual for the i th observation in linear regression
19504,19504,What standardized residual
19505,19505,What is the major advantage of a standardized multiple regression equation
19506,19506,What is the purpose of regression analysis quizlet
19507,19507,What is elbow method in K means
19508,19508,What are the different types of cluster analysis
19509,19509,What are clustering techniques
19510,19510,What are the types of random error
19511,19511,What does GLM stand for in R
19512,19512,Is linear regression the same as logistic regression
19513,19513,How do you identify a pattern
19514,19514,What does it mean when you see patterns
19515,19515,What is meant by variable or variate
19516,19516,What does variate mean
19517,19517,What is the symbol for a variate
19518,19518,What is meant by variable class 11
19519,19519,What is the means of variable
19520,19520,What is the meaning of variable in research
19521,19521,When the test statistic is more extreme than the critical value
19522,19522,How do you interpret critical t distribution
19523,19523,What does it mean if the T value is greater than the critical value
19524,19524,How many inputs are required for K means clustering
19525,19525,What is the need of clustering
19526,19526,What are the requirements for cluster analysis explain briefly
19527,19527,Which of the following is required for K means clustering
19528,19528,What is K means clustering good for
19529,19529,Which statement is true about K means clustering algorithm
19530,19530,What is sampling and why is it used
19531,19531,What is the purpose of sampling quizlet
19532,19532,Why should a sample represent the population
19533,19533,What are the advantages of sample over population
19534,19534,Why do we use samples
19535,19535,What is embedding in NLP
19536,19536,What is Word2vec in NLP
19537,19537,How do you analyze clusters
19538,19538,How do you interpret a Dendrogram in cluster analysis
19539,19539,What do you mean by cluster analysis
19540,19540,What does clustering mean
19541,19541,How is clustering performance measured
19542,19542,What measures the goodness of a cluster
19543,19543,How is the quality of a cluster measured
19544,19544,Why is my covariance matrix not positive definite
19545,19545,What tests are appropriate for investigating the associations between two categorical variables
19546,19546,Is Chi square an inferential test
19547,19547,How do you compare categorical variables in SPSS
19548,19548,How do you analyze two categorical variables
19549,19549,How do I combine two categorical variables in SPSS
19550,19550,Which distance is used in Knn
19551,19551,Which distance metric is used in Knn
19552,19552,When should you use a one tailed test over a two tailed test
19553,19553,Are chi square tests one tailed
19554,19554,Are chi square test two tailed
19555,19555,Should I do one tailed or two tailed test
19556,19556,Do you have more power with a one tailed test or a two tailed test
19557,19557,Does a two tailed test increase power
19558,19558,Is it good to reject the null hypothesis
19559,19559,Which Alpha level is most difficult to reject the null hypothesis
19560,19560,What is the probability of rejecting the null hypothesis
19561,19561,What is rejecting the null hypothesis when it is true
19562,19562,How do you test an algorithm
19563,19563,What is data analysis in data science
19564,19564,Is regression analysis a parametric test
19565,19565,What are parameters in linear regression
19566,19566,What is parametric modeling in BIM
19567,19567,When should you not use standard deviation
19568,19568,Is standard error and standard error of the mean the same
19569,19569,Is standard error the same as sample standard deviation
19570,19570,What is reinforcement learning based on
19571,19571,Why is machine learning important in AI
19572,19572,What is the role of machine learning in AI
19573,19573,Is machine learning part of artificial intelligence
19574,19574,What is AI but not machine learning
19575,19575,Which is better machine learning or artificial intelligence
19576,19576,What is Bayes rule in statistics
19577,19577,How do you perform a one sample t test
19578,19578,What is a good sample size for t test
19579,19579,How do you do a two sample t test
19580,19580,What is a 2 sided t test
19581,19581,What is a two sample t interval
19582,19582,How do you find the confidence interval for a one sample t test
19583,19583,What is 2x2 binning
19584,19584,What does inference mean in deep learning
19585,19585,Is pert a beta distribution
19586,19586,What is the difference between triangular distribution and beta distribution
19587,19587,What is the purpose of random assignment to groups
19588,19588,Why is random selection important in experiments
19589,19589,Why is it important to randomly assign treatment and control groups
19590,19590,Which type of research design involves the random assignment of subjects into two or more groups
19591,19591,How is distributor margin calculated in FMCG
19592,19592,What are the qualities of a good estimate
19593,19593,What skills do you need to be an estimator
19594,19594,What does an estimator do
19595,19595,What are the properties of an estimator
19596,19596,What are the two measures of a good estimator
19597,19597,What are the requirements of an estimator
19598,19598,What are the duties of an estimator
19599,19599,How can I be a good estimator
19600,19600,How is Lorenz curve calculated
19601,19601,What shifts the Lorenz curve
19602,19602,Why is Lorenz Curve important
19603,19603,How do you read a Lorenz curve
19604,19604,What is required to construct a Lorenz curve
19605,19605,What does a Lorenz curve illustrate
19606,19606,What is the relationship between the Lorenz
19607,19607,What does a 2 tailed test mean
19608,19608,How do you interpret a two tailed p value
19609,19609,How do you solve AI bias
19610,19610,What is dataset related bias in AI
19611,19611,Is convenience sampling the same as random sampling
19612,19612,What is random sampling and convenient sampling
19613,19613,What is random sampling why is it used and how does it compare with convenience sampling
19614,19614,What kind of sampling is convenience sampling
19615,19615,What is the difference between convenience sampling and purposive sampling
19616,19616,How do you show that an operator is linear
19617,19617,Is integration a linear transformation
19618,19618,Is integration a linear operation
19619,19619,How do you know if a transformation is linear or not
19620,19620,How does deep learning determine Overfitting
19621,19621,What is local search in artificial intelligence
19622,19622,What is hill climbing search technique
19623,19623,What are the problems associated with hill climbing algorithm
19624,19624,What is the difference between simple hill generate and test algorithm climbing
19625,19625,What is meant by local search
19626,19626,What is a key advantage of local search algorithm
19627,19627,Is local search a greedy algorithm
19628,19628,What are the main limitations of hill climbing search
19629,19629,What is image caption generator
19630,19630,Can we use RNN for classification
19631,19631,How do I get a random variable from a PDF
19632,19632,What does independent and dependent mean in math probability
19633,19633,What makes events independent dependent give an example of each
19634,19634,What is the difference between relative frequency and frequency
19635,19635,How do you compare relative frequency
19636,19636,How do you calculate frequency and relative frequency
19637,19637,How do you explain relative frequency
19638,19638,What is the essential difference between a frequency distribution and a probability distribution
19639,19639,What is the difference between frequency and probability
19640,19640,How accurate is the QuantiFERON gold test
19641,19641,What does it mean if QuantiFERON test is negative
19642,19642,Is QuantiFERON more accurate than PPD
19643,19643,What does it mean if I have a positive QuantiFERON test
19644,19644,What is a multivariable regression model
19645,19645,What happens to the shape of a sampling distribution of sample means as n increases
19646,19646,What does N mean in sampling distribution
19647,19647,What is the shape of the sampling distribution of the sample mean why
19648,19648,How does the size of a sample influence the shape of the distribution
19649,19649,How does sample size affect
19650,19650,What happens if sample size is too large
19651,19651,Does the spread of the sampling distribution change as the sample size increases
19652,19652,How does the shape of the original distribution affect the accuracy of the sample mean
19653,19653,How does increasing the sample size affect the standard error of the sampling distribution
19654,19654,What determines sampling distribution
19655,19655,How do you convert hazard ratio to percentage
19656,19656,What is the probability of getting a factor of 6 on a dice
19657,19657,What happens in backpropagation
19658,19658,How do you find the sum of squared deviations from the mean
19659,19659,What is the sum of deviations from the mean
19660,19660,How do you find the sum of deviations
19661,19661,What is the sum of the deviations from the mean
19662,19662,How do you calculate the deviations of the data values from the mean
19663,19663,How do you find the sum of absolute deviations from the mean
19664,19664,What is an ROC curve and what does it tell us
19665,19665,What is the output of sigmoid function
19666,19666,How do you derive logistic equations
19667,19667,What is the derivative of sigmoid function
19668,19668,How do you find the derivative of an exponential function
19669,19669,Why is the derivative of an exponential function itself
19670,19670,Are exponential functions differentiable
19671,19671,What is the derivative of E 2x
19672,19672,Is repeated measures Anova robust to violations of normality
19673,19673,How do you write a null hypothesis for a one way Anova
19674,19674,What is the null hypothesis for a two way Anova
19675,19675,What is the null hypothesis for at test
19676,19676,What is independent measures design
19677,19677,What is the definition of an independent variable
19678,19678,What is artificial intelligence used for
19679,19679,How is Artificial Intelligence changing the world
19680,19680,How do you find the sum of squares with variance
19681,19681,What is the sum of squared differences
19682,19682,Which is better standard deviation or variance
19683,19683,Why variance is used instead of standard deviation
19684,19684,What is the relationship between variance and standard deviation quizlet
19685,19685,What does S stand for in statistics
19686,19686,What is σ in statistics
19687,19687,How do you find the standard deviation of S
19688,19688,How do you know if Sigma is known or unknown
19689,19689,Is sum of squares the same as variance
19690,19690,What does sum of squared deviations mean
19691,19691,Can you sum standard deviations
19692,19692,Is SVM linear classifier
19693,19693,How is random sampling carried out
19694,19694,How is random selection done
19695,19695,What are the requirements of a random sample
19696,19696,What are linear phase filters
19697,19697,Are IIR filters linear
19698,19698,What is the image in linear algebra
19699,19699,What is stimulus generalization quizlet
19700,19700,What is a generalization gradient
19701,19701,What does a flat generalization gradient mean
19702,19702,When the S+ and S differ only in terms of one stimulus feature the training procedure is called
19703,19703,When generalization occurs what happens
19704,19704,What is a response generalization
19705,19705,What is response generalization in ABA
19706,19706,What is the difference between stimulus and response generalization
19707,19707,What is Q in Kalman filter
19708,19708,What is an unscented Kalman filter
19709,19709,What is process noise
19710,19710,Why Kalman filter is used
19711,19711,What is covariance matrix in Kalman filter
19712,19712,What is Gaussian distribution in machine learning
19713,19713,What is Gaussian distribution of data
19714,19714,What Gaussian prior
19715,19715,How do you find the alpha in statistics
19716,19716,Are P value and alpha the same thing
19717,19717,How do you calculate beta in statistics
19718,19718,What is beta β error used to measure
19719,19719,What is a beta risk
19720,19720,What is beta error in statistics
19721,19721,How Alpha and beta are related
19722,19722,What does alpha and beta mean in statistics
19723,19723,What does beta represent in statistics
19724,19724,Does increasing alpha decrease beta
19725,19725,How do you find the value of alpha and beta
19726,19726,What is the value of the Alpha Beta
19727,19727,What is alpha value
19728,19728,What is the value of β
19729,19729,What are the advantages and disadvantages of KNN algorithm
19730,19730,What are targets in machine learning
19731,19731,What is the concept of machine learning
19732,19732,What does the standard deviation tell us
19733,19733,What do standard deviation error bars show
19734,19734,What is the difference between a between subjects Anova and a repeated measures Anova
19735,19735,Why is repeated measures Anova more powerful
19736,19736,What is the primary advantage of the repeated measures Anova compared to the between subjects Anova
19737,19737,What is an independent measure
19738,19738,What is repeated measures in statistics
19739,19739,What is meant by backpropagation
19740,19740,What is the meaning of gradient descent
19741,19741,How many units is the hidden layer
19742,19742,Which is a type of loss function used in CNN
19743,19743,Which cost function is used in neural network
19744,19744,Are categorical variables discrete
19745,19745,How do we handle categorical variables in decision trees
19746,19746,Should I learn data structures first or algorithms
19747,19747,Is it important to learn data structures and algorithms
19748,19748,Should I learn data structures before algorithms
19749,19749,Is data structures hard to learn
19750,19750,How do you do dependent events
19751,19751,What is the probability of A or B if they are independent
19752,19752,What makes something independent in probability
19753,19753,Why is learning adaptive
19754,19754,What is adaptive teaching
19755,19755,What is meant by adaptive learning
19756,19756,What is adaptive machine learning
19757,19757,What can cause a false positive pregnancy test
19758,19758,What is a false positive vs false negative
19759,19759,What is sparse categorical cross entropy
19760,19760,What does From_logits mean
19761,19761,What is From_logits
19762,19762,What is Softmax_cross_entropy_with_logits
19763,19763,What is an example of an independent event in probability
19764,19764,What are independent events examples
19765,19765,Are the two events independent
19766,19766,What does it mean when 2 events are independent
19767,19767,How do you find the probability of two dependent events
19768,19768,How does K mean clustering works explain with example
19769,19769,Why do we do clustering
19770,19770,What is LDA or what does LDA stand for
19771,19771,What is Univariate statistical analysis
19772,19772,How are vectors used in machine learning
19773,19773,What is the difference between vector space and linear space
19774,19774,How do you tell if a vector is a subspace
19775,19775,Why vector space is called linear space
19776,19776,How do you prove that V is a vector space
19777,19777,Why is serial correlation a problem
19778,19778,What is time series correlation
19779,19779,How can the problem of autocorrelation be overcome
19780,19780,What do we know about patterns
19781,19781,What is the meaning of patterns
19782,19782,Why convolutional neural network is used
19783,19783,What is factor analysis in research PDF
19784,19784,Is it more likely to get a false positive or false negative pregnancy test
19785,19785,What does Z mean in probability
19786,19786,What is probability factor Z
19787,19787,What does a Z mean
19788,19788,What does it mean when Z score is 0
19789,19789,Why does a normal distribution have a mean of 0
19790,19790,What z score always corresponds to the mean
19791,19791,What is an example of a learning strategy
19792,19792,Why do we use decision tree
19793,19793,What is decision tree and its importance
19794,19794,What is a spatial problem
19795,19795,What causes problems with spatial awareness
19796,19796,What problems can GIS solve
19797,19797,What are the disadvantages of GIS
19798,19798,Why GIS can be difficult to define
19799,19799,What are data mining process
19800,19800,What is the other name for data mining
19801,19801,What is the difference between database processing and data mining processing
19802,19802,What does a large P value indicate
19803,19803,Is D the same as Delta
19804,19804,Is dy dx the same as derivative
19805,19805,What is the difference between DT and Delta T
19806,19806,How do you define predictive Modelling
19807,19807,What is predictive Modelling in data science
19808,19808,What does the value sigma mean
19809,19809,Where does Sigma come from
19810,19810,What does the Greek word sigma mean
19811,19811,What does the σ mean
19812,19812,What are central moments in statistics
19813,19813,How do you find the central moment
19814,19814,What is non central moment
19815,19815,What is the difference between deductive and inductive learning
19816,19816,What is inductive and deductive method with examples
19817,19817,What is deductive and inductive learning
19818,19818,How do you do a negative binomial distribution in Excel
19819,19819,What does randomized mean
19820,19820,What does randomisation mean in research
19821,19821,How is risk measured
19822,19822,Is neural network supervised or unsupervised learning why
19823,19823,What does Rabin and Karp algorithm do
19824,19824,What is the basic principle of Rabin Karp algorithm
19825,19825,What is the complexity of Rabin Karp algorithm
19826,19826,Which of the following pre processing is used by Rabin Karp string matching algorithm
19827,19827,What are hash values
19828,19828,What is another word for nonlinear
19829,19829,What is an example of a nonlinear function
19830,19830,What are some real life examples of linear functions
19831,19831,Which functions are not linear
19832,19832,What would be the mean of the sampling distribution of sample means
19833,19833,How do I save and load a TensorFlow model
19834,19834,How do you save a TensorFlow model
19835,19835,How can we save deep learning models
19836,19836,How can we save the machine learning model
19837,19837,How do I save a model in TensorFlow keras
19838,19838,How do I save CNN model in TensorFlow
19839,19839,How do you find the number of elements in a matrix in Matlab
19840,19840,What is the formula for average
19841,19841,What is the average of 80
19842,19842,How do you change the size of a matrix in Matlab
19843,19843,How do you reshape a matrix
19844,19844,How do you define the size of a matrix
19845,19845,How do you find the mean of an image
19846,19846,What is median of a matrix
19847,19847,How do you find the mean of a matrix in R
19848,19848,How is weight calculated in neural networks
19849,19849,How weights are updated in CNN
19850,19850,What is a bias in CNN
19851,19851,What is interval scale with example
19852,19852,What is the difference between R and R squared correlation coefficient
19853,19853,How do you find the correlation coefficient with R Squared
19854,19854,What does the R 2 value mean
19855,19855,Is R 2 the same as R
19856,19856,What is the sample correlation coefficient
19857,19857,What are effective learning strategies
19858,19858,What causes learning gaps
19859,19859,What are the learning gaps
19860,19860,How do you identify gaps in learning
19861,19861,How do you fill in learning gaps
19862,19862,What is symmetric data in statistics
19863,19863,How many types of moments are there
19864,19864,What are the two types of moments
19865,19865,What are first and second moments
19866,19866,What is a moment in statistics
19867,19867,What is Moment analysis
19868,19868,What does Moments mean in statistics
19869,19869,What are the types of moments
19870,19870,How do you take moments
19871,19871,Why is spark used
19872,19872,Why is spark better than Hadoop
19873,19873,How much data can spark handle
19874,19874,How do you solve Turing machine problems
19875,19875,How did the Turing machine work
19876,19876,Is scaling important for logistic regression
19877,19877,What is an example of a statistical question
19878,19878,How data can be misinterpreted
19879,19879,Who uses neural networks
19880,19880,What is optimization function in machine learning
19881,19881,What is variability in a box plot
19882,19882,What measures of variability are used when comparing box plots
19883,19883,How do you know which Boxplot has more dispersion
19884,19884,How do you find the variability
19885,19885,How do you describe the spread of a Boxplot
19886,19886,How do you analyze statistical survey data
19887,19887,What statistical tools of analysis are used in survey research
19888,19888,What is the most commonly used statistical method for analyzing data
19889,19889,What are statistical measures
19890,19890,Which tests are being used for data analysis
19891,19891,What is the appropriate statistical test to analyze the data from the study
19892,19892,What is the best statistical test to use
19893,19893,What are the types of statistical data analysis
19894,19894,How do you find the input and output of a function
19895,19895,Where is the input and output
19896,19896,How do you know if input and output is a function
19897,19897,How do you solve the input of a function given the output
19898,19898,What is input and output variables
19899,19899,What are the input variables
19900,19900,What is the input and output of a function
19901,19901,How many levels can a dependent variable have
19902,19902,What's the difference between continuous and discrete
19903,19903,Are dates interval data
19904,19904,Should a frequency distribution always have equal class intervals
19905,19905,How do you find the mean of unequal class intervals
19906,19906,What is equal class interval
19907,19907,What does the slope of a simple regression line represent
19908,19908,What is a best fit regression line
19909,19909,How do you find the line of best fit for linear regression
19910,19910,What is distributed ML
19911,19911,What is the high level API that allows for distributed training in TensorFlow
19912,19912,How do I know if TensorFlow is imported correctly
19913,19913,How do you categorize text data
19914,19914,What is the complement rule in statistics
19915,19915,How can a decision tree be used in decision making
19916,19916,How do I import a decision tree in Sklearn
19917,19917,How does Sklearn decision tree work
19918,19918,How do you plot a decision tree in Sklearn
19919,19919,How do you use classifier in decision tree
19920,19920,How do you find the margin of error in statistics
19921,19921,What is the margin of error in statistics and why is it important
19922,19922,Is margin of error the same as standard deviation
19923,19923,How do you find standard error on a TI 84
19924,19924,How do you find the margin of error on a TI 83
19925,19925,What is a response variable
19926,19926,What is the purpose of variance analysis
19927,19927,Why do we add variances
19928,19928,What is the importance of mean variance and standard deviation in research
19929,19929,What is the average variance
19930,19930,What is Fourier series
19931,19931,What is Fourier Series formula
19932,19932,What is the use of Fourier series in signals and systems
19933,19933,How is Fourier series used
19934,19934,How does Fourier series make it easier to represent periodic signals
19935,19935,What is Fourier Transform and its application
19936,19936,What is a covariant variable
19937,19937,What is difference between variance and covariance
19938,19938,What is the covariance of a vector
19939,19939,What is the covariance of a random variable with itself
19940,19940,What is the error function used in the backpropagation algorithm
19941,19941,What is backpropagation learning
19942,19942,Is backpropagation a linear algorithm
19943,19943,How do you interpret quartile results
19944,19944,How do you interpret the median and interquartile range
19945,19945,How do you interpret a range
19946,19946,What does a large range mean
19947,19947,How do you determine if something is statistically significant
19948,19948,Which machine learning algorithms is best for continuous data
19949,19949,How do you find dependent events
19950,19950,How do you determine if an event is independent
19951,19951,Can median mean average
19952,19952,How do you find the median
19953,19953,Is AMD GPU good for machine learning
19954,19954,What is meant by sample in statistics
19955,19955,What's a sample study
19956,19956,What is a sample vs population
19957,19957,What is back propagation in AI
19958,19958,What FFT means
19959,19959,What are the applications of Fourier series
19960,19960,What are the benefits of FFT in signal processing
19961,19961,What is FFT power spectrum
19962,19962,What are the statistical analysis tools
19963,19963,What are statistical techniques
19964,19964,What are the types of statistical analysis
19965,19965,Why is it called bag of words representation
19966,19966,What is a word vector
19967,19967,What is word vector in NLP
19968,19968,How does word2vec deal with unknown words
19969,19969,What are the elements that make up a trend
19970,19970,What does it mean to trend
19971,19971,How do trends start
19972,19972,What is induction in data mining
19973,19973,What is label in deep learning
19974,19974,Why accuracy is not a good measure for classification models
19975,19975,What are the methods to evaluate accuracy of classifier predictor
19976,19976,Which metrics can be used to evaluate the accuracy of a classification model
19977,19977,Which of the following metrics are used to evaluate classification models
19978,19978,Which evaluation metrics are commonly used for evaluating the performance of a classification model when there is a class imbalance problem
19979,19979,What is feature extraction techniques in image processing
19980,19980,What is a good AUC for Roc
19981,19981,What is data scaling in machine learning
19982,19982,How do you scale a dataset
19983,19983,How do you normalize data for machine learning
19984,19984,Why do we scale data in machine learning
19985,19985,What does scaling mean in machine learning
19986,19986,What is scaling in deep learning
19987,19987,What's considered a large sample size
19988,19988,What is smallest sample size for normal distribution
19989,19989,How will artificial intelligence change the future in society
19990,19990,What are the advantages of artificial intelligence on society
19991,19991,How many hidden layers do neurons use in artificial neural networks
19992,19992,How many hidden neurons are there
19993,19993,Why is sigmoid used
19994,19994,Which activation function is the most commonly used in neural networks
19995,19995,What is an activation function in neural networks
19996,19996,What is polynomial regression in machine learning
19997,19997,What is polynomial regression used for
19998,19998,What is the difference between linear regression and polynomial regression
19999,19999,How do you know if a regression line is linear or nonlinear
20000,20000,Why do we use polynomial regression
20001,20001,How do you fit a regression equation
20002,20002,Where do we use polynomial regression
20003,20003,Do you want a high or low correlation
20004,20004,Why is random forest better than logistic regression
20005,20005,What is the purpose of filtering data
20006,20006,What do you mean by filtering in computer
20007,20007,What is cluster analysis good for
20008,20008,How do you read mutual information scores
20009,20009,Can relative entropy negative
20010,20010,How do you calculate mutual information
20011,20011,Why kNN is called lazy algorithm
20012,20012,What is the main difference between cluster sampling and stratified sampling
20013,20013,What is meant by cluster sampling
20014,20014,What are the advantages of random forests over decision tree
20015,20015,How do you determine independence in statistics
20016,20016,How do you know if two discrete random variables are independent
20017,20017,What are the types of parameters
20018,20018,What parameter means
20019,20019,How do you find the parameter
20020,20020,What are arguments and parameters How are these two terms different give example
20021,20021,What is experimental and control group
20022,20022,What do you mean by control group
20023,20023,What do you mean by experimental group
20024,20024,What is the difference between the control group and the experimental group in an experimental study
20025,20025,What is feature creation in machine learning
20026,20026,How do you Linearize data
20027,20027,How do you Linearize quadratic data
20028,20028,What does it mean to linearize data
20029,20029,What is ensemble data
20030,20030,How is naive Bayes calculated
20031,20031,What is Monte Carlo tree and why it is used in Deepmind
20032,20032,Is MCTS learning reinforcement
20033,20033,Is Monte Carlo simulation machine learning
20034,20034,What happens in an NLP session
20035,20035,What is NLP explain
20036,20036,What is the process of NLP
20037,20037,What are the types of NLP
20038,20038,Where NLP can be useful
20039,20039,What are the main challenge s of NLP from below options
20040,20040,How do you approach problems in NLP
20041,20041,What are standardized residuals
20042,20042,What is the difference between standardized and unstandardized coefficients
20043,20043,What is the difference between B and β
20044,20044,What are standard residuals
20045,20045,Is standard error the same as residual
20046,20046,What is a large Studentized residual
20047,20047,What does the residual value mean in statistics
20048,20048,Is the mean of residuals zero
20049,20049,How do you interpret residual output
20050,20050,What is learning in neural network
20051,20051,What is the effect of learning rate in neural network
20052,20052,Is neural network part of deep learning
20053,20053,What is B in neural network
20054,20054,What is the difference between statistics and data analysis
20055,20055,What is data and statistics
20056,20056,What is the difference between data analysis and data analytics
20057,20057,What is the difference between data and analytics
20058,20058,What is the difference between analysis and analysis
20059,20059,Is Data Analytics the same as statistics
20060,20060,Do data analysts use statistics
20061,20061,What is the difference between statistics and statistic
20062,20062,Which are the two types of data
20063,20063,What is annealing in AI
20064,20064,Is simulated annealing local search
20065,20065,What is training and inference
20066,20066,What is AI inferencing
20067,20067,What is training in artificial intelligence
20068,20068,What is neural network inference
20069,20069,What is inference training
20070,20070,How do you distinguish between univariate and multivariate statistics
20071,20071,How do you interpret statistical data
20072,20072,Can you only use z score for normal distribution
20073,20073,What is an advantage of using z scores
20074,20074,Can you see any advantages of using a standard normal distribution with Z scores
20075,20075,Why are z scores used as the basis for determining Pearson r
20076,20076,Why do we convert raw scores to z scores
20077,20077,When you convert raw scores to Z scores what happens to the shape of the distribution
20078,20078,What is good learning rate for Adam
20079,20079,Does Adam adjust learning rate
20080,20080,How can you tell if information is biased
20081,20081,What makes a source biased
20082,20082,Why is decision tree supervised
20083,20083,Is decision tree Parametric
20084,20084,What are the properties of OLS estimators
20085,20085,How many types of regression are there
20086,20086,What is simple linear regression and multiple linear regression
20087,20087,What is sampling and different types of sampling
20088,20088,What is the convolution theorem for Fourier Transform
20089,20089,What is convolution in Laplace transform
20090,20090,Why do we use linear regression
20091,20091,What do you use a box plot for
20092,20092,How do you match a histogram to a Boxplot
20093,20093,How does a histogram compare to a Boxplot
20094,20094,What does a histogram show that a Boxplot does not
20095,20095,How do you match a box plot to a histogram
20096,20096,What are the advantages of using a box plot
20097,20097,How do you find expectation from a moment generating function
20098,20098,How do you find the expected value of a function
20099,20099,What if validation loss is less than training loss
20100,20100,How do you test face validity
20101,20101,How do you ensure a test is valid and reliable
20102,20102,What can CNN be used for
20103,20103,What is a normal distribution chart
20104,20104,How do you read a normal distribution
20105,20105,How do you analyze a distribution
20106,20106,How do you interpret a distribution curve
20107,20107,What is the mean of a normal distribution
20108,20108,How do you create a machine learning model
20109,20109,What is sigmoid activation function in neural network
20110,20110,What does a standard deviation close to 0 mean
20111,20111,What is the lowest standard deviation
20112,20112,Is it possible to create a data set where the standard deviation is zero
20113,20113,What does a standard error of 0 mean
20114,20114,Why do we use sample standard deviation
20115,20115,What's the difference between union and intersection
20116,20116,How do you find the union of A and B
20117,20117,What does AUB and AnB mean
20118,20118,How do you find the union of two independent events
20119,20119,How do you find the union and intersection
20120,20120,What are the different methods of probability and Nonprobability sampling
20121,20121,What is non probability sampling PDF
20122,20122,What are the differences between random and nonrandom sampling
20123,20123,What are the types of non probability sampling
20124,20124,What is difference between probability and Nonprobability sampling
20125,20125,What are the main types of frequency distribution curve
20126,20126,What do you mean by frequency distribution
20127,20127,What is frequency in statistics PDF
20128,20128,How do you interpret log transformed data
20129,20129,What do you mean by ensemble
20130,20130,In which condition we use OLS regression
20131,20131,What is ordinary least squares used for
20132,20132,Does regression assume normal distribution
20133,20133,What does mean square tell
20134,20134,What is computed by MSE in ML
20135,20135,Why is MSE used
20136,20136,Is regression to the mean real
20137,20137,What is linear model example
20138,20138,When a linear model is appropriate
20139,20139,What is calibration and validation
20140,20140,What is meant by model validation
20141,20141,What are the different calibration methodologies
20142,20142,What is calibration technique
20143,20143,What are the types of calibration
20144,20144,What type of equipment requires calibration
20145,20145,What type of data is used in facial recognition
20146,20146,Is facial recognition considered AI
20147,20147,How do you do face tracking
20148,20148,What is facial tracking
20149,20149,How do cameras detect faces
20150,20150,Why binary search algorithm is best
20151,20151,When would it be ideal to use linear searching
20152,20152,What is one advantage linear search has over binary search
20153,20153,In which of the following cases linear search is preferred
20154,20154,Which searching technique is best and why
20155,20155,What is GLS econometrics
20156,20156,What is GLS R
20157,20157,What is the difference between GLM and GLM
20158,20158,What is anchor in object detection
20159,20159,What is Anchor machine learning
20160,20160,How do you find the optimal value in standard form
20161,20161,Is a histogram a distribution
20162,20162,Is a probability distribution always a normal distribution
20163,20163,What is the formula for the mean of a probability distribution
20164,20164,What major is for AI
20165,20165,What do you study for artificial intelligence
20166,20166,What is Artificial Intelligence degree
20167,20167,How do you show K means clustering
20168,20168,How do you plot K means clusters in R
20169,20169,How do you select K for K means
20170,20170,How do you choose variables in cluster analysis
20171,20171,What does K mean in R
20172,20172,How do you plot K in R
20173,20173,How do you evaluate K means clustering in R
20174,20174,Is logistic regression a binary classification
20175,20175,What is binary logistics regression
20176,20176,Is F distribution continuous
20177,20177,What are the properties of the F distribution
20178,20178,Why is regression used
20179,20179,How does a regression analysis work
20180,20180,When can we use regression analysis
20181,20181,What is the meaning of multiple regression analysis
20182,20182,What is multiple linear regression explain with example
20183,20183,What are the input and output functions
20184,20184,What is the input value of a function
20185,20185,Which test is called non parametric test
20186,20186,Is chi square test quantitative or qualitative
20187,20187,Is chi square test two tailed
20188,20188,Is logistic regression analysis quantitative research
20189,20189,How do you factor a binomial with two variables
20190,20190,How do you factor an expression with 2 terms
20191,20191,How do you solve binomial equations
20192,20192,What is the product of 2 Binomials
20193,20193,How do you factor Binomials
20194,20194,How do you factor step by step
20195,20195,How do you solve a binomial equation by factoring
20196,20196,What do you mean by term agents in artificial intelligence classify the various types of agents
20197,20197,What are the different types of agents
20198,20198,What does hierarchical clustering produce
20199,20199,How do you think clusters will be made using hierarchical algorithm on this data
20200,20200,What values can covariance take
20201,20201,Why covariance matrix is used in PCA
20202,20202,Can we use the correlation matrix instead of covariance matrix when we perform PCA
20203,20203,What causes the population to change
20204,20204,What factors affect population size
20205,20205,What factors cause population change
20206,20206,How do you compare correlations between groups in SPSS
20207,20207,How do you find multiple correlation in SPSS
20208,20208,What are supervised and unsupervised techniques
20209,20209,What does it mean for a test to be robust
20210,20210,Why normal distribution is called Gaussian
20211,20211,Is Gaussian distribution normal
20212,20212,What is another name for Gaussian distribution
20213,20213,Is a Gaussian distribution the same as a normal distribution
20214,20214,Why is a normal distribution normal
20215,20215,How did normal distribution get its name
20216,20216,What is the concept of normal distribution
20217,20217,What is the difference between normal distribution and standard distribution
20218,20218,What is the use of standard normal distribution
20219,20219,What is Neural Network Toolbox in Matlab
20220,20220,How is Machine Learning implemented in Matlab
20221,20221,How are neural networks implemented
20222,20222,How do you describe a Boxplot spread
20223,20223,How many types of machine learning models are there
20224,20224,What are machine learning models
20225,20225,What is the correlation between 2 variables
20226,20226,How do you find the correlation between two means
20227,20227,What can clustering be used for
20228,20228,How do you interpret a cluster analysis dendrogram
20229,20229,Which of the following are advantages of K means clustering
20230,20230,Why do we use non standard units of measurement
20231,20231,What are non standard units of measurement
20232,20232,What are the benefits of using non standard units of measurement
20233,20233,What are standard units in statistics
20234,20234,What are the non standard unit of length
20235,20235,What are standard units of measure
20236,20236,What are informal units
20237,20237,What is Bayesian network used for
20238,20238,What is the use of spectral analysis
20239,20239,What spectrum means
20240,20240,Why are spectra helpful in identifying elements in stars
20241,20241,What properties can you determine about a star from its spectrum
20242,20242,Is CNN unsupervised learning
20243,20243,What is meant by supervised learning and unsupervised learning
20244,20244,What factors affect correlation
20245,20245,Does normalization change correlation
20246,20246,What are correlated variables
20247,20247,What is R and P in correlation
20248,20248,What does P mean in correlation
20249,20249,What does R mean in correlation
20250,20250,What is r and p value
20251,20251,What are the disadvantages of KNN
20252,20252,What is the advantage of K nearest neighbor method
20253,20253,What are the difficulties with K Nearest Neighbor algorithm
20254,20254,How do you compare two sentences in Python
20255,20255,How do you calculate the product moment correlation coefficient
20256,20256,What is product moment correlation coefficient mean
20257,20257,What is the formula of product moment method
20258,20258,Is df the same as N
20259,20259,What variance is acceptable
20260,20260,What does standard variance tell us
20261,20261,Is variance normally distributed
20262,20262,What is univariate and multivariate data
20263,20263,What does at test statistic mean
20264,20264,How do you explain t statistic
20265,20265,How do you describe statistics
20266,20266,How do you describe data in statistics
20267,20267,How do you describe descriptive statistics
20268,20268,What is the P value when the test statistic is
20269,20269,Is SVM machine learning
20270,20270,Is SVM artificial intelligence
20271,20271,What is data labeling in AI
20272,20272,What is meant by labeled data
20273,20273,How can you tell a false negative
20274,20274,Which is worse a false positive or a false negative
20275,20275,What type of error is a false negative
20276,20276,What is the difference between false negative and false positive
20277,20277,What is a false positive security
20278,20278,How is Artificial Intelligence different from natural intelligence
20279,20279,What is competitive based filtering
20280,20280,What is Dbscan in machine learning
20281,20281,What is a density based cluster
20282,20282,How the density of point P at the density based clustering defined
20283,20283,Which of the following is a density based clustering algorithm
20284,20284,What is chatbot NLP
20285,20285,How neural network can be used in prediction
20286,20286,What assumption does the Mann Whitney U test make about the distribution of your data
20287,20287,Does Mann Whitney U test assume equal variance
20288,20288,What is bivariate and multivariate analysis
20289,20289,What is bivariate analysis used for
20290,20290,What is bivariate data and how is it used in statistics
20291,20291,What is bivariate How do you do it
20292,20292,What is an indicator name two artificial indicators
20293,20293,Are indicator variables independent
20294,20294,What's the function of an indicator
20295,20295,How do you use a random variable indicator
20296,20296,What are the steps to find the outliers in a data set
20297,20297,Should outliers be deleted from data
20298,20298,What is considered an outlier
20299,20299,What numbers are considered outliers
20300,20300,What is binomial probability distribution
20301,20301,What does Nocebo mean
20302,20302,Is it possible to train a network well by initializing all the weights as 0
20303,20303,Can we train a neural network by initializing bias as 0
20304,20304,Is it fine to initialize all weights to zero for a logistic classifier
20305,20305,Why OpenCV is used for image processing
20306,20306,What is OpenCV and TensorFlow
20307,20307,How do you calculate standard distribution
20308,20308,How do you draw a uniform distribution
20309,20309,What are the components of decision analysis
20310,20310,Is AdaBoost used for regression
20311,20311,What is AdaBoost learning rate
20312,20312,Is XGboost good for regression
20313,20313,What is boosted regression
20314,20314,How do you use a Poisson distribution table
20315,20315,How do you solve Poisson distribution
20316,20316,What is application of Poisson distribution
20317,20317,What is test statistic value
20318,20318,How do you find the test statistic by hand
20319,20319,What is weight and bias Perceptron
20320,20320,What is a hierarchical multiple regression
20321,20321,What does hierarchical regression mean
20322,20322,Why are z scores called standard scores
20323,20323,How do z scores standardize data
20324,20324,Why do z scores have a standard deviation of 1
20325,20325,Are Z scores standardized
20326,20326,How does z score relate to standard units
20327,20327,How do you standardize a data set
20328,20328,Why do we need Z scores standardized scores in statistics
20329,20329,What does statistical rank mean
20330,20330,What is Spearman's rank correlation coefficient in statistics
20331,20331,Why is CNN better for image classification
20332,20332,How a neural network learns
20333,20333,What is the best definition of a regression equation
20334,20334,How do you explain a regression model
20335,20335,How do you describe a linear regression model
20336,20336,What is the difference between one tailed and two tailed t test
20337,20337,Is a one sample t test always two tailed
20338,20338,What are the assumptions of the Z test
20339,20339,Which of the following assumptions is required for a one sample Z test for a mean
20340,20340,What assumptions must be met in order to avoid error when using the Z test
20341,20341,What is uncertainty with example
20342,20342,What do you mean by information rate
20343,20343,What is ITC information
20344,20344,What is entropy in ITC
20345,20345,How information is measured
20346,20346,Does NLP require machine learning
20347,20347,What is NLP explain it with examples
20348,20348,What is NLP in layman's terms
20349,20349,What are the stages of NLP
20350,20350,What are the major tasks of NLP
20351,20351,How do you find the cross entropy
20352,20352,How do I test a word2vec model
20353,20353,What is min count in word2vec
20354,20354,How do you vector output
20355,20355,What is an output argument in Matlab
20356,20356,What is an input vector
20357,20357,What do you mean by hybrid Bayesian network
20358,20358,What does Bayesian network provide
20359,20359,What is the relation between a Bayesian network and full joint probability distribution
20360,20360,What is Bayesian network model
20361,20361,Is Bayesian network causal
20362,20362,How do Bayesian networks work
20363,20363,What does it mean to be unlabeled
20364,20364,What is meant by unlabeled sample
20365,20365,How do you find the mean and variance of a sampling distribution
20366,20366,What is the variance of distribution
20367,20367,What controls a sampling distribution
20368,20368,What affects the sampling distribution of a proportion
20369,20369,Why does variability decrease as sample size increases
20370,20370,How does variability in the sample affects the result of the test
20371,20371,What affects sampling variability
20372,20372,Why is variability important in statistics
20373,20373,What is sampling variability and why is it important to understand
20374,20374,What are the types of variability
20375,20375,What are the conditions for linear regression
20376,20376,When would you use a linear regression model
20377,20377,When should simple linear regression be used
20378,20378,What is nonlinear regression used for
20379,20379,How does nonlinear regression work
20380,20380,What is the difference between linear and non linear regression
20381,20381,Why does EM algorithm work
20382,20382,What is a multimodal histogram
20383,20383,What is unsupervised learning and supervised learning
20384,20384,Why does the error term need to be normally distributed
20385,20385,Why do we assume normality
20386,20386,Why is the assumption of normally distributed data important
20387,20387,What are the consequences if the residuals do not follow normal distribution
20388,20388,Why normality is important in linear regression
20389,20389,Do you need normal distribution for linear regression
20390,20390,What does the assumption of normality apply to
20391,20391,What is model based learning
20392,20392,What's the difference between FFT and DFT
20393,20393,What is the advantage of FFT over DFT
20394,20394,What is the purpose of DFT
20395,20395,How does natural language understanding NLU work in AI
20396,20396,How does NLP work in artificial intelligence
20397,20397,What are the properties of logarithms and examples
20398,20398,What are the types of logarithms
20399,20399,What is the geometric mean of 8 and 32
20400,20400,How do you find similarities and differences
20401,20401,What are the similarities and differences of every individual
20402,20402,What are the different distance measures that can be used to determine similarity of features
20403,20403,What is the probability of rolling a 6 with two dice
20404,20404,What does exploratory data analysis mean
20405,20405,Can two categorical variables be correlated
20406,20406,Is 0.02 A strong correlation
20407,20407,What is the formula to find correlation
20408,20408,Which tool helps you determine the correlation between variables
20409,20409,What does it mean to be robust in statistics
20410,20410,What statistic is robust to outliers
20411,20411,What does robust testing mean
20412,20412,What do you understand by bagging
20413,20413,How do you select the value of K in K means
20414,20414,How do you find the centroid of a vector
20415,20415,How do I find the mean of a vector
20416,20416,What is Homoscedasticity in linear regression
20417,20417,What is the difference between a frequency polygon and an ogive choose the correct answer below
20418,20418,What is relative frequency mean
20419,20419,How do you find the relative cumulative frequency
20420,20420,What do you think is the purpose of relative and cumulative frequency
20421,20421,What is an image in image processing
20422,20422,What is the difference between image processing and computer vision
20423,20423,What are the image processing techniques
20424,20424,Why r squared is not important
20425,20425,What is a bad R Squared
20426,20426,How do you solve high bias
20427,20427,How is probability used in research
20428,20428,Why are researchers encouraged using probability sampling
20429,20429,What are sampling methods used for
20430,20430,What is the Facebook algorithm called
20431,20431,Why Gaussian distribution is used
20432,20432,How do you draw a Gaussian distribution
20433,20433,What shape does a normal distribution look like
20434,20434,What is general hypothesis in machine learning
20435,20435,What is the version space in machine learning
20436,20436,What is the fundamental principle of counting
20437,20437,How is the counting principle mathematically calculated
20438,20438,What is fundamental counting principle example
20439,20439,What is the difference between vector space and dual space
20440,20440,What variables should be controlled in an experiment
20441,20441,What is significant difference in statistics
20442,20442,How do you know if two data sets are significantly different
20443,20443,How do you determine if two data sets are statistically different Excel
20444,20444,How do you determine if data is statistically significant
20445,20445,What is accuracy assessment in image classification
20446,20446,How do you evaluate accuracy
20447,20447,What is accuracy in classification
20448,20448,What is the importance of neural networks
20449,20449,Why are neurons important to learning and brain development
20450,20450,What is neural networks in artificial intelligence
20451,20451,What were logarithms originally used for
20452,20452,How do you write a picture analysis
20453,20453,How do you visually analyze a photo
20454,20454,What is analysis example
20455,20455,How do you Analyse an image
20456,20456,How do you critically Analyse an image
20457,20457,How do you analyze an image
20458,20458,What is a analytical image
20459,20459,How do you analyze visuals
20460,20460,How do you analyze a picture rhetorically
20461,20461,How do you read photographs
20462,20462,Which of the following is an example of discrete random variable
20463,20463,What does a discrete variable mean
20464,20464,What are the criteria for a parametric test
20465,20465,What are the assumptions made under parametric test
20466,20466,What are the four main assumptions for parametric statistics
20467,20467,Can logistic regression handle missing values
20468,20468,How do you handle missing data values
20469,20469,How are missing values and outliers handled
20470,20470,How do you find the missing value of a data set
20471,20471,How do you find empirical probability
20472,20472,What is the empirical method in statistics
20473,20473,How do you find the distribution of a function
20474,20474,What can be said about the expected value and standard deviation of an exponential distribution
20475,20475,How do you find the percentile of an exponential distribution
20476,20476,How do you find the standard deviation of a data set
20477,20477,What is the standard deviation of a dataset
20478,20478,What formula does Excel use for standard deviation
20479,20479,How do you find the standard deviation of a dataset in Excel
20480,20480,How do you find the difference between two sets of data in Excel
20481,20481,How do you calculate 2 standard deviations from the mean
20482,20482,What is a good root mean square error value
20483,20483,What is the advantage of using iterative algorithm like gradient descent
20484,20484,How do I choose a kernel
20485,20485,What is gaussian kernel in machine learning
20486,20486,What does Gaussian do
20487,20487,What does not follow a normal distribution
20488,20488,How do you know if data is not normally distributed
20489,20489,How do you use gradient descent
20490,20490,How do you stop gradient descent
20491,20491,What is Autoencoder in machine learning
20492,20492,What is the use of tensor
20493,20493,What is a tensor in neural network
20494,20494,Is a tensor A Matrix
20495,20495,Are tensors part of linear algebra
20496,20496,What is Adam gradient descent
20497,20497,Why Bayesian network is important
20498,20498,Is Bayesian machine learning
20499,20499,Who invented Bayes Theorem
20500,20500,Who invented Bayesian statistics
20501,20501,What is the other name for Bayesian network
20502,20502,How do you find the partition function
20503,20503,What is meant by partition function
20504,20504,What does the partition function mean
20505,20505,How do you find specific entropy
20506,20506,What is the unit of partition function
20507,20507,What are statistics examples
20508,20508,What is sample in statistic
20509,20509,How do you find the sample statistic
20510,20510,What are the two meanings of statistics
20511,20511,How is statistics used in everyday life
20512,20512,What are statistics and what are they used for
20513,20513,What are the uses of statistics in different fields
20514,20514,How do you know if it is a hypergeometric distribution
20515,20515,What is K in probability
20516,20516,How do you find K in a probability distribution
20517,20517,What is the difference between policy iteration and value iteration
20518,20518,How do you find the optimal value function
20519,20519,How can deductive reasoning be improved
20520,20520,How can inductive and deductive reasoning be used to solve problems
20521,20521,What is better inductive or deductive reasoning
20522,20522,How can deductive skills be improved
20523,20523,What makes a discrete probability distribution
20524,20524,Can a normal distribution be discrete
20525,20525,Do normal distributions apply to discrete variables
20526,20526,Why do we need activation functions
20527,20527,Which activation function is the most commonly used activation function in neural networks linear or non linear
20528,20528,Is 0 A weak correlation
20529,20529,What does a correlation of 0 mean quizlet
20530,20530,What is discriminative training
20531,20531,Is Knn generative or discriminative
20532,20532,What is the sum of relative frequencies
20533,20533,How do you find the sum of relative frequencies
20534,20534,How do you read Gini index in decision tree
20535,20535,Why is Gini better than entropy
20536,20536,What is entropy in decision tree
20537,20537,Why do decision trees use Entropy
20538,20538,What is the minimum value of entropy in a decision tree
20539,20539,What is the difference between Gini Index and Gini coefficient
20540,20540,What is the difference between Gini and entropy
20541,20541,How do you detect anomaly
20542,20542,What is anomaly detection in AI
20543,20543,What are the difficulties in anomaly detection
20544,20544,What is an example of empirical research
20545,20545,What is the meaning of empirical
20546,20546,What is meant by theoretical distribution
20547,20547,What are the different types of theoretical distributions
20548,20548,What is an empirical vs theoretical distribution
20549,20549,What is empirical probability
20550,20550,What is the difference between probability and experimental probability
20551,20551,What is the formula for empirical probability
20552,20552,What is the theoretical probability of rolling a 6
20553,20553,What is the difference of research hypothesis and statistical hypothesis
20554,20554,Which best describes the relationship between a research hypothesis and statistical hypothesis
20555,20555,What are the types of data in cluster analysis
20556,20556,Which one of the following is most likely to reduce sampling error
20557,20557,Which one of the following is a probability sampling technique
20558,20558,What are the differences between stratified and cluster sampling
20559,20559,What is the standard error of a regression coefficient
20560,20560,What is standard error in regression analysis
20561,20561,What is the standard error in Excel regression
20562,20562,What is Fourier transform pair
20563,20563,What is Fourier transform in DSP
20564,20564,What is meant by sinc
20565,20565,What is the use of eigenvalues
20566,20566,What is Eigen function and Eigen value
20567,20567,How can predictive performance models be improved
20568,20568,What does sample space mean in statistics
20569,20569,How do you find linear correlation between two variables
20570,20570,What is the correlation between two variables
20571,20571,Where do we use AI in everyday life
20572,20572,How is artificial intelligence used in everyday life
20573,20573,What is real artificial intelligence
20574,20574,How does Gensim Word2Vec work
20575,20575,What does it mean to censor data
20576,20576,What does right censored mean
20577,20577,Which of the following is an example of a false positive
20578,20578,Which of the following is text mining package
20579,20579,What does Unnest_tokens do in R
20580,20580,How is text mining done
20581,20581,Which are the steps to perform text mining
20582,20582,What is text mining techniques
20583,20583,What is text mining examples
20584,20584,What is mean by text mining
20585,20585,What is text mining and how does it work
20586,20586,What is data mining and text mining
20587,20587,What is Ridge model
20588,20588,What does a Sobel filter do
20589,20589,How do you write a probability distribution function
20590,20590,How do you draw a probability distribution graph
20591,20591,What is probability distribution in simple words
20592,20592,What are some regression problems
20593,20593,Why is Multicollinearity not a problem in simple regression
20594,20594,What is the weakness of linear communication model
20595,20595,How do you find the class boundary of a class interval
20596,20596,Which of the following techniques would perform better for reducing dimensions of dataset
20597,20597,Which of the following machine learning algorithms is used for dimensionality reduction
20598,20598,What does a high survey response rate mean
20599,20599,How do you ensure a high response rate in a survey
20600,20600,How are predictive values calculated
20601,20601,What is PPV in statistics
20602,20602,How do you calculate PPV from prevalence and specificity
20603,20603,What does the null hypothesis make a claim about
20604,20604,What is the purpose of a null hypothesis
20605,20605,What does null hypothesis mean
20606,20606,What is hypothesis and null hypothesis
20607,20607,What is the significance of null hypothesis
20608,20608,Which hypothesis is used to test the significance of statistics
20609,20609,What is the basic machine learning algorithm
20610,20610,What happens when machine learning algorithm is compiled
20611,20611,What do you mean by time series in statistics
20612,20612,What are the components of time series in statistics
20613,20613,Can the mean of a normal distribution be negative
20614,20614,Are sample means always normally distributed
20615,20615,Is sample mean random
20616,20616,What bias means
20617,20617,Who is your bias wrecker in BTS
20618,20618,How many biases can you have
20619,20619,Who is Yeonjun BTS bias
20620,20620,Who is the bias wrecker in BTS
20621,20621,What is Underfitting in neural networks
20622,20622,What is the difference between a random variable and a probability distribution
20623,20623,How do discrete and continuous random variables differ
20624,20624,What is the difference between discrete and continuous variable quizlet
20625,20625,What is meant by a random variable quizlet
20626,20626,What information does a probability model give
20627,20627,What is the formula to calculate standard deviation
20628,20628,How do you find the standard deviation when given the mean
20629,20629,How do you find the percent deviation from the mean
20630,20630,How far is one standard deviation from the mean
20631,20631,How many standard deviations are you from the mean
20632,20632,How many standard deviations away from the mean is statistically significant
20633,20633,What is probability mass function in statistics
20634,20634,How do you solve linear regression
20635,20635,What is the drawback of Bellman Ford algorithm
20636,20636,What is the difference between strong AI and weak AI
20637,20637,What is strong AI quizlet
20638,20638,What is strong AI philosophy
20639,20639,What is the strong AI thesis
20640,20640,What is exponential smoothing
20641,20641,How accurate is exponential smoothing
20642,20642,What is smoothing in forecasting
20643,20643,What is the formula for exponential smoothing
20644,20644,What is single exponential smoothing
20645,20645,How do you interpret a dummy variable coefficient
20646,20646,Do we need to scale dummy variables
20647,20647,How do you interpret a negative log likelihood
20648,20648,How do you do logistic regression on Excel
20649,20649,How do you find the probability given the mean and sample size
20650,20650,What NAT mode should I use
20651,20651,What is the point of Nat
20652,20652,What is the point of an activation function
20653,20653,What are activation functions and why are they required
20654,20654,What is SSE in Kmeans
20655,20655,How is SSE calculated
20656,20656,How do you determine the value of K in K means
20657,20657,How is SSE calculated in Anova
20658,20658,Why do we use K means algorithm
20659,20659,Is the P value the probability of a Type 1 error
20660,20660,What is the main difference between the variance and the standard deviation as measures of variability
20661,20661,What is the difference between difference and variance
20662,20662,What does the word variance mean
20663,20663,How is variance calculated in statistics
20664,20664,How is naive Bayes algorithm useful for learning and classifying text
20665,20665,How is the best fitting regression line determined
20666,20666,How do you determine the best fit model
20667,20667,How do you find the line of best fit using residuals
20668,20668,What is the meaning of kernel
20669,20669,What do you mean by kernel
20670,20670,Why do we use Kalman filter
20671,20671,What is IDF in NLP
20672,20672,In which state entropy is maximum
20673,20673,What is entropy in machine learning
20674,20674,Why is entropy logarithmic
20675,20675,What are deep learning models
20676,20676,What is a nonparametric model
20677,20677,Which of the following is an unsupervised learning technique
20678,20678,What is the sample space of a random experiment
20679,20679,How can I improve my reasoning power
20680,20680,How do students develop reasoning skills
20681,20681,How can I develop my thinking skills
20682,20682,What does a good exposure histogram look like
20683,20683,How do you read a exposure histogram
20684,20684,How can you tell if your image is exposed correctly
20685,20685,How do you adjust exposure on a histogram
20686,20686,How is median overall survival calculated
20687,20687,How do you calculate survival time
20688,20688,What does relative survival rate mean
20689,20689,What does Median survival mean
20690,20690,What does a Kaplan Meier curve show
20691,20691,How is survival rate calculated
20692,20692,What is the basis of a vector
20693,20693,How do you find the basis of a 2x2 matrix
20694,20694,What is a basis of a subspace
20695,20695,What is the basis of a vector space
20696,20696,How do you know if a vector is basis
20697,20697,What is the standard basis for P2
20698,20698,Why chi square test is a nonparametric test
20699,20699,What kind of test is chi square
20700,20700,How many medians can there be
20701,20701,What does the mean mean in statistics
20702,20702,Is mean and mean deviation same
20703,20703,What is the mean vs median
20704,20704,What is use average
20705,20705,What is mean and its types
20706,20706,What is PCA ML
20707,20707,What is the most common algorithm for regression
20708,20708,Which is the best regression model
20709,20709,Which methods can be used to evaluate regression model
20710,20710,What are the factors that affect a linear regression model
20711,20711,Do z scores always have a mean of 0
20712,20712,Is AI also called machine intelligence
20713,20713,How can AI and humans work together
20714,20714,Can artificial intelligence beat human intelligence
20715,20715,What is the area under the curve used for
20716,20716,How do you read autocorrelation
20717,20717,How do you interpret autocorrelation in SPSS
20718,20718,What is the purpose of autocorrelation
20719,20719,What does the ACF tell us
20720,20720,What is ACF in time series and its use
20721,20721,What does ACF and PACF mean
20722,20722,What is the use of autocorrelation function
20723,20723,What is neural model
20724,20724,What is model in deep learning
20725,20725,What is the difference between an algorithm and a model
20726,20726,What is the model in machine learning
20727,20727,Why does serial correlation occur
20728,20728,What does positive serial correlation mean
20729,20729,Is serial correlation the same as autocorrelation
20730,20730,How do you interpret the Durbin Watson statistic
20731,20731,What is the difference between autocorrelation and correlation
20732,20732,What is serial correlation in regression
20733,20733,What are ML tools
20734,20734,What are the tools required for machine learning
20735,20735,What are the basics for machine learning
20736,20736,What are machine learning methods
20737,20737,Which of the following are tools are used for deep learning
20738,20738,What is a in the least squares trend equation
20739,20739,How do you find the trend value by least square method
20740,20740,How do you find the regression equation by hand
20741,20741,What does the regression equation measure
20742,20742,What does Standard Deviation tell us about the mean
20743,20743,Why do we use word Embeddings
20744,20744,How do we choose the factor K
20745,20745,How do you increase classification accuracy
20746,20746,How will you Regularise the KNN model
20747,20747,How can I improve my KNN model accuracy
20748,20748,Which one is true in case of KNN algorithm
20749,20749,What are the possible values of covariance
20750,20750,Where is covariance used
20751,20751,What is a frame in statistics
20752,20752,What will be the accuracy of the random forest for classification task
20753,20753,How can decision tree accuracy be improved
20754,20754,What is boosting decision tree
20755,20755,When would you use a scatter plot
20756,20756,What does entropy reduction mean
20757,20757,What happens if entropy decreases
20758,20758,What increases and decreases entropy
20759,20759,How does entropy increase or decrease
20760,20760,What leads to an increase in entropy
20761,20761,How does entropy affect the system
20762,20762,Is artificial intelligence better than human intelligence
20763,20763,What is the difference between human intelligence and artificial intelligence
20764,20764,Do computers surpass human intelligence justify
20765,20765,What is the difference between Ancova and Anova
20766,20766,What is an unblinded study
20767,20767,How can random processes cause evolution How do these processes differ from natural and artificial selection
20768,20768,How do you recognize an optimization problem
20769,20769,What do you mean by optimization
20770,20770,Why are optimization algorithms used for
20771,20771,How do you choose an optimization algorithm
20772,20772,What is optimization in DAA
20773,20773,What is meant by alternative hypothesis
20774,20774,How do you write an alternative hypothesis
20775,20775,Can both the null and alternative hypothesis be true
20776,20776,Is decision tree a classification algorithm
20777,20777,Where decision tree will fall into supervised or unsupervised learning
20778,20778,How is convolutional neural network
20779,20779,How does GloVe embedding work
20780,20780,What are GloVe vectors
20781,20781,What is Normalisation and its types
20782,20782,What do you mean by normalization in DBMS
20783,20783,How many types of normalization are there
20784,20784,What is normalization explain different normal forms
20785,20785,Is interquartile range variability
20786,20786,What does interquartile range measure
20787,20787,Is the interquartile range a measure of center or a measure of variation
20788,20788,Why is the Iqr preferred over the range as a measure of variability
20789,20789,Is range a good measure of variability
20790,20790,What are the two important measures of variability
20791,20791,How do you know what measure of variability to use
20792,20792,Why do you do n 1 in standard deviation
20793,20793,Why do we divide by N 1 in sample variance
20794,20794,What is N in standard deviation
20795,20795,Why do you subtract 1 in standard deviation
20796,20796,Why does standard deviation decrease with sample size
20797,20797,What does off policy mean
20798,20798,What are the disadvantages of PPO
20799,20799,What is the policy in reinforcement learning
20800,20800,Is variance the same as sample variance
20801,20801,How do you find the sample variance of the sample mean
20802,20802,What does sample variance mean in statistics
20803,20803,What is the least squares linear regression
20804,20804,How do you do least square method
20805,20805,What is the formula for LSRL
20806,20806,How do you prove something is a probability density function
20807,20807,What are the conditions for a probability density function
20808,20808,How do you prove probability distribution
20809,20809,Are AI and machine learning the same
20810,20810,What does the covariance value mean
20811,20811,What is a good NPS score for SaaS
20812,20812,How do you determine endogenous variables
20813,20813,What are the endogenous variables in this model
20814,20814,What is the domain of a variable
20815,20815,What are the properties of a random variable
20816,20816,Is age a discrete data
20817,20817,Is weight a discrete or continuous variable
20818,20818,Is weight discrete data
20819,20819,What type of variable is weight in statistics
20820,20820,How do you interpret Fisher's exact
20821,20821,What is the purpose of Anova
20822,20822,What is the cost function of linear regression
20823,20823,What is a regression function
20824,20824,What is linear regression and how does it work
20825,20825,What is data stream in big data
20826,20826,What is a streaming data
20827,20827,Do you use data when streaming
20828,20828,What are GIS data
20829,20829,What is primary and secondary data in GIS
20830,20830,What is the difference between raster and vector data in GIS
20831,20831,What is data stream network
20832,20832,What is media and data stream
20833,20833,What does the symbol λ mean
20834,20834,How do you find lambda in statistics
20835,20835,How do you interpret Wilks Lambda
20836,20836,What are the disadvantages of bootstrap
20837,20837,What is bootstrap and how do you use it
20838,20838,How do I start using bootstrap
20839,20839,How does neural network calculate number of parameters
20840,20840,How many parameters does the neural network have
20841,20841,What determines the number of parameters in a CNN
20842,20842,What are trainable parameters
20843,20843,What are non trainable parameters
20844,20844,How do you calculate learnable parameters
20845,20845,How many layers should a CNN have
20846,20846,What does a correlation of 0.01 mean
20847,20847,What does it mean if the p value is low
20848,20848,Is P 0.05 statistically significant
20849,20849,What is the role of loss functions how loss functions are important in NN
20850,20850,Which of the following are loss functions in machine learning
20851,20851,What is the current limitation of AI technology
20852,20852,What are the limits of machine learning
20853,20853,What is the IQ of artificial intelligence
20854,20854,Is cluster sampling probability or Nonprobability
20855,20855,What is multistage sampling PDF
20856,20856,What are the advantages and disadvantages of multistage sampling
20857,20857,What is network theory in communication
20858,20858,What is network in statistics
20859,20859,What is naive about naive Bayes
20860,20860,How does naive Bayes algorithm work
20861,20861,How do you train a Naive Bayes classifier
20862,20862,Which type of learning is used by naïve Bayes
20863,20863,Why we use filters in image processing
20864,20864,What is the purpose of filter
20865,20865,What is meant by image filtering
20866,20866,What are the two major function of filter gallery
20867,20867,What is the expectation of a Poisson distribution
20868,20868,What are the requirements for Poisson distribution
20869,20869,What is the expected value of binomial distribution
20870,20870,How do you find the expected value of a probability distribution table
20871,20871,What is Lambda in normal distribution
20872,20872,What is meta model in machine learning
20873,20873,How do you calculate expected distribution
20874,20874,Is the expected value of the probability distribution of a random variable always one
20875,20875,Why is it important to know about probability functions
20876,20876,Is expected value a linear operator
20877,20877,What causes entropy
20878,20878,Who defined entropy
20879,20879,What is the origin of the word entropy
20880,20880,How do you know which predictive model to use
20881,20881,How do I choose a good predictive model
20882,20882,How do you make a good predictive model
20883,20883,Is logistic regression probabilistic
20884,20884,What is odds in logistic regression
20885,20885,How do you find the intercept in logistic regression
20886,20886,Why we use log in logistic regression
20887,20887,What does a chi square test statistic mean
20888,20888,How do you find the sample size for a chi square test
20889,20889,How do I choose the best data model
20890,20890,What is are the characteristics of an intelligent agent
20891,20891,What makes an agent intelligent
20892,20892,What do you understand by intelligent agents describe the different types of internet intelligent agents
20893,20893,What is unsupervised AI
20894,20894,What is supervised and unsupervised learning in artificial intelligence
20895,20895,How do AIs learn
20896,20896,Is the response variable independent or dependent
20897,20897,How do you know which variable is dependent
20898,20898,What is binomial distribution PDF
20899,20899,What is the criteria for a binomial probability experiment
20900,20900,What is one of the problems with using linear regression to predict probabilities
20901,20901,Why linear regression Cannot be used for classification
20902,20902,Is linear regression used for classification
20903,20903,What is classifier in neural network
20904,20904,Why is probability important in data science
20905,20905,How is probability used in machine learning
20906,20906,What is the role of probability theory in statistics
20907,20907,What is the formula to find probability
20908,20908,What is an additive relationship in statistics
20909,20909,How is additive model calculated
20910,20910,What does additive mean in statistics
20911,20911,What is additive model of time series
20912,20912,How do you find lognormal mean
20913,20913,What is classification in AI
20914,20914,What is the use of classification
20915,20915,What do you mean by multivariate analysis explain how it differs from bivariate analysis
20916,20916,How do I test statistical significance in R
20917,20917,What does it mean if a correlation is statistically significant
20918,20918,How is bagging different from boosting
20919,20919,How can we improve the performance of Random Forest classifier
20920,20920,How can you improve the precision of a model
20921,20921,What is meant by linear transformation
20922,20922,What are the different types of linear transformations
20923,20923,What is the linear transformation equation
20924,20924,What is the standard matrix of a linear transformation
20925,20925,How do you find the matrix of a linear transformation
20926,20926,What is a linear transformation in linear algebra
20927,20927,How do you tell if a matrix is a linear transformation
20928,20928,How do you write a linear transformation
20929,20929,How do you show that a transformation is linear
20930,20930,How do you describe a linear transformation
20931,20931,How do you prove a function is linear
20932,20932,Who proposed decision making theory
20933,20933,What is the difference between Mann Whitney and Kruskal Wallis
20934,20934,What does a Wilcoxon test do
20935,20935,What is a weight in neural network
20936,20936,How do you initialize bias and weights
20937,20937,What is weight matrix
20938,20938,How do you find the weight of a matrix
20939,20939,Is TensorFlow machine learning or deep learning
20940,20940,What is the difference between regression and classification in ML
20941,20941,Is classification better than regression
20942,20942,Is regression analysis predictive analytics
20943,20943,Is Regression a prediction
20944,20944,What is moment estimator
20945,20945,How do you find the moments estimator
20946,20946,What is activation function in artificial neural network
20947,20947,Is probability distribution a random variable
20948,20948,How do you find the probability distribution of a random variable
20949,20949,Which of the following is not possible in probability distribution
20950,20950,Why does Stata omit variables
20951,20951,What are dummy variables Stata
20952,20952,How do we create data
20953,20953,What is meant by dataset
20954,20954,What are datasets used for
20955,20955,What is training data set in machine learning
20956,20956,Is multiple linear regression multivariate
20957,20957,What is a multivariate regression model
20958,20958,Which is an example of regression
20959,20959,How do you interpret multivariate regression analysis
20960,20960,How do you interpret multiple regression intercepts
20961,20961,What causes nonlinearity
20962,20962,How do you determine non linearity
20963,20963,What is the difference between a linear and non linear relationship
20964,20964,What is the goal of a generative adversarial network
20965,20965,Where is the motor homunculus located
20966,20966,How is the motor homunculus organized
20967,20967,Is Hopfield network a type of recurrent neural network
20968,20968,How do you find the mean of a binomial distribution
20969,20969,What is the relationship between Poisson and gamma distribution
20970,20970,How do you find the causal relationship between two variables
20971,20971,What is the test used for causation
20972,20972,What is iteration in deep learning
20973,20973,What is epochs in neural network
20974,20974,What is an epoch in deep learning
20975,20975,What is Batch_size in model fit
20976,20976,What is epochs in deep learning
20977,20977,Does TensorBoard work with keras
20978,20978,How do you add a TensorBoard to keras
20979,20979,How do you plot a tensor image
20980,20980,What does cv2 canny do
20981,20981,What is canny image
20982,20982,How do you convert a marginal PDF to a joint PDF
20983,20983,How do you find joint probability from marginal probability
20984,20984,What is marginal PDF
20985,20985,How do you describe the distribution of a data set
20986,20986,What is a data distribution
20987,20987,What are the main limitations of non parametric tests
20988,20988,What are the characteristics that separate parametric and nonparametric tests
20989,20989,What are the assumptions of non parametric test
20990,20990,What are the advantages of parametric test
20991,20991,Is it true that parametric tests are generally more powerful than nonparametric tests if so give two reasons why you might choose to use a nonparametric test instead of a parametric test
20992,20992,What are the rules for probability
20993,20993,What are the three laws of probability
20994,20994,What are the 2 rules of probability
20995,20995,Is PCA used for dimensionality reduction
20996,20996,When AUC can be used as a measure of quality of models
20997,20997,Why PCA is used in machine learning
20998,20998,How do you calculate false negative rate
20999,20999,How do you calculate accuracy from sensitivity and specificity
21000,21000,Is sensitivity false negative
21001,21001,How do I get PPV from sensitivity and specificity
21002,21002,How do you calculate misclassification rate
21003,21003,How do you present categorical data
21004,21004,Which plot can be used to see the frequency distribution of a categorical variable
21005,21005,How do you find the frequency distribution of a categorical variable in Python
21006,21006,What is the best type of visualization to show the frequency distribution of a categorical variable
21007,21007,How do you calculate run time efficiency
21008,21008,What is the efficiency of a computer algorithm
21009,21009,What is efficiency of algorithm based on
21010,21010,What factors affect the efficiency of an algorithm
21011,21011,What are the factors to consider while analyzing an algorithm
21012,21012,Why is the efficiency of an algorithm important
21013,21013,What is the need of measuring the complexity of an algorithm
21014,21014,How do you find the average case complexity of a binary search
21015,21015,What are the worst case and average case complexity of a binary search tree
21016,21016,What is complexity in binary search tree
21017,21017,What is the Big O for binary search
21018,21018,When can we use normal approximation
21019,21019,When can you use the normal approximation to the binomial distribution
21020,21020,Why do we approximate binomial to normal distribution
21021,21021,What conditions must be met in order for a sampling distribution of proportions to be approximated by a normal distribution
21022,21022,What are the conditions for normal distribution
21023,21023,Why do we use mean median and mode
21024,21024,What are the advantages and disadvantages of mean median and mode
21025,21025,What are the merits and demerits of mode
21026,21026,What are the advantages of median in statistics
21027,21027,What does the mode tell you in statistics
21028,21028,Which are common applications of deep learning in Artificial Intelligence AI
21029,21029,What are applications of AI
21030,21030,What are some examples of AI
21031,21031,What is the example of conventional AI
21032,21032,How is normal distribution derived
21033,21033,How do you derive a probability distribution
21034,21034,How do you derive Joint Distribution
21035,21035,Why do we use regularization
21036,21036,What is neural nets way of classifying inputs
21037,21037,Can Ann be used for classification
21038,21038,Why are deep neural networks called deep
21039,21039,What is the difference between deep learning and neural network
21040,21040,What is meant by probability distribution function
21041,21041,What is called distribution function
21042,21042,What is distribution function of a random variable
21043,21043,What is Visualisation method
21044,21044,What is algorithm visualization
21045,21045,How do you visualize correctly
21046,21046,How do I visualize my study
21047,21047,How do visualization techniques work
21048,21048,Why is random forest better than SVM
21049,21049,What are multilevel models and why should I use them
21050,21050,What is multilevel data
21051,21051,What is autocorrelation time series
21052,21052,What does autocorrelation function mean
21053,21053,What does an ACF plot tell us
21054,21054,How is survival probability calculated
21055,21055,How do you find the rejection region in a hypothesis test
21056,21056,What is a hypothesis test in statistics
21057,21057,What is a hypothesis in stats
21058,21058,What is sampling distribution of the mean in statistics
21059,21059,Which theorem defines the sampling distribution of the mean
21060,21060,How do you find the mean of the sampling distribution
21061,21061,How do you evaluate regression results
21062,21062,How do you measure regression performance
21063,21063,How do you evaluate regression
21064,21064,Why is statistical testing important in research
21065,21065,How do you interpret statistical results
21066,21066,What is statistical evaluation
21067,21067,Why is evaluating statistical results important
21068,21068,How do you prove a distribution is normal
21069,21069,Why should we check if data is normally distributed
21070,21070,Why do we need to assume normality for hypothesis testing
21071,21071,What are the measures of association
21072,21072,What is Association variables
21073,21073,How do you know if data is continuous
21074,21074,Is my data discrete or continuous
21075,21075,What does it mean to say that the sample variance is an unbiased statistic
21076,21076,Is sample range biased or unbiased
21077,21077,How do you prove something is unbiased
21078,21078,Is sample standard deviation biased
21079,21079,Why is correlation not the same as causation
21080,21080,How are correlational and causal relationship different
21081,21081,What is an example of correlation without causation
21082,21082,What does correlation without causation mean
21083,21083,What does it mean when there is no correlation between two variables
21084,21084,What does it mean to say that two variables have no correlation
21085,21085,What is ordinary least square estimator
21086,21086,What is another name for the least squares regression line
21087,21087,Is logistic regression an OLS
21088,21088,Why is statistical inference useful
21089,21089,What is the importance of inferential statistics
21090,21090,What is statistical inference Why is it important
21091,21091,What is statistical inference in psychology
21092,21092,What is statistical inference quizlet
21093,21093,What is the difference between parametric and non parametric statistics
21094,21094,What is parametric model in statistics
21095,21095,Which type of data are normally used in parametric statistics
21096,21096,What is parametric data
21097,21097,How do I start learning data structure
21098,21098,Where can I study data structures
21099,21099,How do you correct bias
21100,21100,What is the best way of eliminating bias in machine learning
21101,21101,How can bias be reduced in an experiment
21102,21102,Why do we use bias
21103,21103,What is population variance in math
21104,21104,How do you calculate population variance in R
21105,21105,What does bias mean in data
21106,21106,What is bias in data collection
21107,21107,What is bias in a sample
21108,21108,What is bias in neural network Quora
21109,21109,How do you calculate AUC
21110,21110,How do you find the equation of a regression line given data
21111,21111,What are the limitations of conjoint analysis
21112,21112,Why do we do conjoint analysis
21113,21113,How do you do a conjoint analysis in SPSS
21114,21114,How do you calculate the net gain of a decision tree
21115,21115,What is a decision tree in statistics
21116,21116,How do you start a decision tree business
21117,21117,What does extracting information mean
21118,21118,What is the difference between information retrieval and information extraction
21119,21119,How do you calculate absolute error
21120,21120,How do you find the absolute error of Class 11
21121,21121,What is the formula for finding error
21122,21122,How do you find the error
21123,21123,What is relative error
21124,21124,What is relative and absolute error
21125,21125,What is an example of inter rater reliability
21126,21126,What is inter rater reliability and why is it important
21127,21127,What is inter rater reliability in qualitative research
21128,21128,How is Cohen kappa calculated
21129,21129,What is inter rater reliability example
21130,21130,How do you calculate inter rater reliability in Excel
21131,21131,How do you ensure Intercoder reliability
21132,21132,How do you remove outliers in cluster analysis
21133,21133,How do we treat outliers
21134,21134,What is the difference between clusters and outliers
21135,21135,Is Kmeans clustering sensitive to outliers
21136,21136,How would you define learning
21137,21137,What are the benefits of learning
21138,21138,Why is the study of learning important
21139,21139,What is the definition of learning
21140,21140,What is learning and its examples
21141,21141,Why do we need dimensional analysis
21142,21142,When would you use dimensional analysis to solve a problem
21143,21143,What tests how variable is affected by another
21144,21144,What variable in an experiment is tested for its effects on another variable
21145,21145,Which variable affects other variables
21146,21146,How do you convert Poisson to exponential
21147,21147,What is the formula for Kruskal Wallis based upon
21148,21148,How do you determine whether the distribution is a discrete probability distribution
21149,21149,Are disjoint events mutually exclusive
21150,21150,How do you know if two events are mutually exclusive
21151,21151,What is mutually disjoint sets
21152,21152,What is an example of mutually exclusive
21153,21153,What does it mean for 2 events to be disjoint
21154,21154,How do you identify disjoint sets
21155,21155,Are machine learning and AI the same thing
21156,21156,What is the difference between AI deep learning and machine learning
21157,21157,Is Machine Learning a branch of AI
21158,21158,What is machine learning and its types
21159,21159,How do you analyze test retest reliability
21160,21160,What is gradient in XGBoost
21161,21161,What is the meaning of false positive and false negative
21162,21162,What's a false negative pregnancy test
21163,21163,How do you find the class limit of a frequency distribution
21164,21164,What is a neuron in ML
21165,21165,Which of the following are measures of spread
21166,21166,Is a random variable measurable
21167,21167,What do you mean by random variables in quantitative techniques
21168,21168,How do you prove a random variable
21169,21169,What is the importance of big data analytics
21170,21170,What is big data analytics
21171,21171,What is big data and why it matters
21172,21172,What is Big Data Why is it important where does big data come from
21173,21173,Is big data the same as data analytics
21174,21174,What type of analytics are included in big data
21175,21175,What is meant by blurred image
21176,21176,What does blurred mean
21177,21177,How do you blur a picture
21178,21178,What is the difference between parametric and nonparametric methods
21179,21179,What are parametric methods
21180,21180,What does PDF mean in statistics
21181,21181,What does a probability mass function tell you
21182,21182,What is collinearity in regression analysis
21183,21183,Is Multicollinearity a problem in regression
21184,21184,Why is Multicollinearity a problem in linear regression least square solution
21185,21185,What does P .05 mean in statistics
21186,21186,What does a low P value mean
21187,21187,How does optical flow work
21188,21188,What is optical flow positioning
21189,21189,What is the optic flow and how do we use it to navigate in the world
21190,21190,What is normal distribution of data in statistics
21191,21191,What does a distribution of data represent
21192,21192,How do you know if a data set is normally distributed
21193,21193,How do you know if data is distributed
21194,21194,Is gradient descent a learning algorithm
21195,21195,Is gradient descent a cost function
21196,21196,What is Gaussian filter used for
21197,21197,What does a correlation coefficient of 0.85 mean
21198,21198,What is the relationship between covariance and correlation
21199,21199,Is covariance and coefficient of variation the same
21200,21200,Why SVM is an example of large margin classifier
21201,21201,What is regression analysis technique
21202,21202,What is a one sided hypothesis test
21203,21203,What is a left tailed hypothesis
21204,21204,How do you interpret statistical significance
21205,21205,What is statistical significance value
21206,21206,Is 0.05 statistically significant
21207,21207,What is a good statistical significance number
21208,21208,What are the steps involved in solving an NLP problem
21209,21209,What is process noise and measurement noise
21210,21210,What is a 2 sided confidence interval
21211,21211,Are Confidence Intervals always two tailed
21212,21212,Why do confidence intervals differ
21213,21213,How do you know if a confidence interval is reliable
21214,21214,What is penalty in logistic regression
21215,21215,What is penalty in machine learning
21216,21216,What are the different hashing techniques
21217,21217,What is hashing technique in DBMS
21218,21218,Why are hash types different lengths
21219,21219,How many types of hash functions are there
21220,21220,Which hashing method is better
21221,21221,Why is Sha better than MD5
21222,21222,What is the criteria for normal approximation
21223,21223,What does NQ mean in statistics
21224,21224,What does NP stand for in statistics
21225,21225,What is the difference between association correlation and causation
21226,21226,What is the meaning of correlation
21227,21227,How do you describe an association
21228,21228,What does it mean to have a relationship between two variables
21229,21229,What is used to show the relationship between two variables
21230,21230,How do you describe a relationship between two things
21231,21231,What is the difference between correlation and association
21232,21232,How do you tell if there is an association in statistics
21233,21233,What is an associated variable
21234,21234,What is a relative frequency in statistics
21235,21235,How do you find the relative frequency in statistics
21236,21236,What is artificial intelligence theory
21237,21237,How do you define AI
21238,21238,When did the idea of artificial intelligence start
21239,21239,What is a statistics class
21240,21240,What is the difference between probability and statistics
21241,21241,What is the importance of statistics and probability in our life
21242,21242,What is the importance of statistics
21243,21243,What are the types of statistics
21244,21244,What statistics mean
21245,21245,What kind of math is probability and statistics
21246,21246,Why comparison methods are used
21247,21247,How do you compare two methods of measurement
21248,21248,How do you compare metric measurements
21249,21249,What are the types of learning in AI
21250,21250,Is the sample standard deviation unbiased
21251,21251,What does it mean to say that the sample variance is an unbiased statistic for the population variance
21252,21252,Is the sample median an unbiased estimator
21253,21253,What kind of data is ordinal
21254,21254,Is interval data discrete or continuous
21255,21255,Do neural networks model the brain
21256,21256,Is neural network a statistical model
21257,21257,Are neural networks linear models
21258,21258,How do you create a neural network model
21259,21259,Are neural networks statistical models
21260,21260,What is probabilistic Modelling
21261,21261,What is probabilistic model in machine learning
21262,21262,Is machine learning probabilistic
21263,21263,Which is used to represent the graphical model for probability relationship among a set of variables
21264,21264,Why is t distribution used for confidence interval
21265,21265,What is the shape of T distribution
21266,21266,What characteristics does a Student's t distribution have
21267,21267,Is the T distribution symmetric or skewed
21268,21268,Is the T distribution skewed
21269,21269,Which discrete probabilistic distribution has the highest entropy and why
21270,21270,What does entropy mean in statistics
21271,21271,What are model assumptions
21272,21272,What is discriminative probabilistic model
21273,21273,What do you mean by discrete probability
21274,21274,How do you divide Factorials with variables
21275,21275,What is factorial used for
21276,21276,How is Arima calculated
21277,21277,What is Arima time series forecasting
21278,21278,What is the difference between class limits and class boundaries choose the correct answer below a class limits are the least and greatest numbers that can belong to the class class boundaries are the numbers that separate classes without forming gaps between them for integer data the corresponding class
21279,21279,What are limits and boundaries
21280,21280,What is the difference between class limits and boundaries
21281,21281,What mean boundaries
21282,21282,Who invented hypergeometric distribution
21283,21283,Why is the hypergeometric distribution called so
21284,21284,What is the relation between true positive rate and recall
21285,21285,How do you determine the value of K in K means clustering
21286,21286,What do you mean by K in K means clustering
21287,21287,What is the output of the K means clustering algorithm
21288,21288,On what basis does K means clustering define clusters
21289,21289,Can K means algorithm detect non convex clusters
21290,21290,Is cognitive computing AI
21291,21291,What is difference between computer science and artificial intelligence
21292,21292,Is cognitive computing the same as AI
21293,21293,What is cognitive system in machine learning
21294,21294,What is the definition of algorithm and an example
21295,21295,Whats the definition of algorithm
21296,21296,What are the types of algorithm
21297,21297,What is cluster multistage sampling
21298,21298,What are the weights in CNN
21299,21299,What is difference between RNN and CNN
21300,21300,What is the difference between a fully connected and convolutional neural network
21301,21301,How has artificial intelligence made an impact in your life
21302,21302,What are some positive ways AI could impact our future
21303,21303,What is the uncertainty principle used for
21304,21304,What is Heisenberg Uncertainty Principle PDF
21305,21305,What are the applications of Heisenberg Uncertainty Principle
21306,21306,When was the uncertainty principle developed
21307,21307,Who created the Heisenberg Uncertainty Principle
21308,21308,Is Heisenberg uncertainty principle true
21309,21309,How do you cluster categorical variables
21310,21310,Can K means be used for categorical data
21311,21311,Why do we use a t distribution instead of a Z distribution for means
21312,21312,What is the difference between Z value and T value
21313,21313,What do you need for predictive analytics
21314,21314,How do I change variable type in SPSS
21315,21315,How do you include a categorical variable in regression
21316,21316,How do you classify a variable as discrete or continuous
21317,21317,How do you classify a variable
21318,21318,What are the categories of a variable
21319,21319,What is regularization loss
21320,21320,What is the difference between sequential and model in keras
21321,21321,What is a good RMS error
21322,21322,What does RMS error tell you
21323,21323,How is RMSE error calculated
21324,21324,Why thresholding is usually applied to images
21325,21325,What is Threshold computer vision
21326,21326,What is thresholding in image segmentation
21327,21327,How do you use the thresholding method for image segmentation
21328,21328,What does a small coefficient of variation mean
21329,21329,What is the significance of Gaussian distribution
21330,21330,Why normal distribution is important in machine learning
21331,21331,Why data distribution is important in machine learning
21332,21332,Why is linear regression called linear
21333,21333,What exactly does linear in linear regression mean
21334,21334,What are F distributions used for
21335,21335,How do you interpret an F value
21336,21336,What does significance F mean
21337,21337,HOW IS F value calculated
21338,21338,What does F value mean in regression
21339,21339,What can artificial intelligence be used for
21340,21340,What is Ai best used for
21341,21341,How is artificial intelligence useful
21342,21342,How does artificial intelligence benefit society
21343,21343,How is artificial intelligence used today
21344,21344,How does face detection work
21345,21345,What is meant by face detection
21346,21346,Why do we need face recognition
21347,21347,What is face recognition in AI
21348,21348,What is the difference between detection and identification
21349,21349,What's the meaning of facial recognition
21350,21350,What is the difference between object detection and object recognition
21351,21351,What does a positive skew show
21352,21352,Is positively skewed distribution normal distribution
21353,21353,Which of the following is correct in a positively skewed distribution
21354,21354,What does it mean to be positively skewed
21355,21355,What does a positive skew on a histogram show
21356,21356,How do you interpret skewness in a histogram
21357,21357,What does skew mean in box plots
21358,21358,What does a good skew mean
21359,21359,Is positive skew right or left
21360,21360,What does multi class mean
21361,21361,What are some good examples of augmented reality
21362,21362,Where is augmented reality used
21363,21363,What is augmented reality and how it works
21364,21364,How does augmented reality work
21365,21365,What is augmented reality and how is it used
21366,21366,What are the applications of augmented reality
21367,21367,What is augmented reality
21368,21368,When we can use product moment correlation
21369,21369,How do you interpret z score
21370,21370,What does the Z score of a data point tell us
21371,21371,How do you do a transition matrix
21372,21372,What makes a transition matrix
21373,21373,How do you find the transition probability matrix
21374,21374,What is transition matrix
21375,21375,What is a regular transition matrix
21376,21376,What is meant by state transition matrix
21377,21377,What's a transition matrix and what's it used for
21378,21378,How do you find the transition matrix Markov chain
21379,21379,How do you interpret OLS results
21380,21380,How do you interpret multiple regression
21381,21381,How do you explain multiple regression models
21382,21382,What is hierarchical analysis
21383,21383,Which one is the hierarchical clustering
21384,21384,What kind of clustering does a hierarchical approach produce
21385,21385,Is hierarchical clustering supervised or unsupervised
21386,21386,Which technique is used for dimensionality reduction
21387,21387,What models reduce dimensionality of data in NLP
21388,21388,What is the difference between regression and classification problems in machine learning
21389,21389,Is classification tree supervised or unsupervised
21390,21390,How do you create a classification tree
21391,21391,Is image classification computer vision
21392,21392,What is image classification in deep learning
21393,21393,What are Gaussian mixture models used for
21394,21394,How does Gaussian process regression work
21395,21395,How is convolution defined
21396,21396,What are the benefits of clusters
21397,21397,Is Gan a neural network
21398,21398,How do you calculate RMSE in linear regression
21399,21399,How do you calculate RMSE accuracy
21400,21400,How do you find the discrete probability distribution
21401,21401,How does TensorFlow do backpropagation
21402,21402,Does TensorFlow use automatic differentiation
21403,21403,How many neural networks are there in the brain
21404,21404,How do you validate a decision tree
21405,21405,How does Decision Tree calculate the estimated probabilities
21406,21406,What is regression training
21407,21407,How do you train a decision tree model
21408,21408,What makes a good decision tree
21409,21409,What is the depth of a decision tree
21410,21410,How do you split data into training and testing and validation
21411,21411,How do you split data into training and testing in Matlab
21412,21412,How do you split data
21413,21413,What is Train_test_split
21414,21414,What is data splitting in machine learning
21415,21415,What does a determinant of 0 mean
21416,21416,How do you evaluate a determinant
21417,21417,What does a determinant determine
21418,21418,What is meant by determinant in statistics
21419,21419,Why is Det AB )= det A det B
21420,21420,Is Det A Det (- A
21421,21421,What are generative algorithms
21422,21422,How do you determine if a variable is discrete or continuous
21423,21423,Is money a discrete or continuous variable
21424,21424,What is a sampling distribution and how does it differ from other distributions
21425,21425,What is the difference between a sample and a sample distribution
21426,21426,What is the difference between at distribution and Z distribution
21427,21427,How do you compare shapes of sampling distributions
21428,21428,How do you calculate false positive
21429,21429,What things can cause a false positive pregnancy test
21430,21430,Is it more common to get a false negative or false positive pregnancy test
21431,21431,What does the term false positive mean
21432,21432,How can you tell a false positive
21433,21433,Which technique is used to help reduce experimenter bias quizlet
21434,21434,Which of the following is an example of experimenter bias
21435,21435,Why should bias should be avoided in research
21436,21436,How do you reduce bias in quantitative research
21437,21437,How can experimenter effects be avoided
21438,21438,How do you limit an experimenter bias
21439,21439,How do you find the box and whisker plot
21440,21440,How does a box plot work
21441,21441,Can you find the mean from a box plot
21442,21442,How do you solve box plot problems
21443,21443,How do you find a Boxplot in statistics
21444,21444,What does a box plot tell you
21445,21445,What are the steps to creating a box plot
21446,21446,How do you know when to use continuity correction
21447,21447,When more variables are added to a linear regression model
21448,21448,When there are more than one independent variables in the model then the linear model is termed as <UNK>
21449,21449,What is a multivariate linear regression
21450,21450,What is multidimensional Turing machine
21451,21451,Are the multi track Turing machine
21452,21452,How does a universal Turing machine work
21453,21453,When was the universal Turing machine invented
21454,21454,What is prediction in data mining
21455,21455,What is meant by predictive analysis
21456,21456,What is regression and types of regression
21457,21457,What do you mean by regression analysis
21458,21458,What is a training algorithm
21459,21459,What is neural processing
21460,21460,What is a neural network processor
21461,21461,What is training data and testing data in machine learning
21462,21462,What is meant by test data
21463,21463,How do you split data into training and testing
21464,21464,What is the difference between training data and testing data
21465,21465,How much data should you allocate for your training and test sets
21466,21466,Can decision trees be used for performing clustering
21467,21467,Which of the following is needed in K means clustering
21468,21468,What is AI photography
21469,21469,What does AI do in camera
21470,21470,What is AI Cam
21471,21471,What is the function of AI camera
21472,21472,What is AI mode in camera
21473,21473,How do you use AI camera
21474,21474,What is the features of AI camera
21475,21475,How do you increase R2 in regression
21476,21476,How can we improve accuracy
21477,21477,How can you increase the accuracy of a logistic regression model
21478,21478,What is the probability of false alarm
21479,21479,Why is data normality important
21480,21480,How do you run Inter rater reliability in SPSS
21481,21481,What does kappa statistic measure
21482,21482,How do you calculate Kappa in SPSS
21483,21483,How do you use Cohen's kappa in SPSS
21484,21484,What does the GLM function do in R
21485,21485,What does GLM mean in R
21486,21486,What is the difference between LM and GLM in R
21487,21487,What makes a sample unbiased
21488,21488,How do you show something is unbiased
21489,21489,Is the sample mean an unbiased estimator
21490,21490,Why is it important to use bias in feed forward Ann
21491,21491,What is the process of neural transmission
21492,21492,What is neural firing
21493,21493,What is neural communication
21494,21494,Is random forest regression linear
21495,21495,What is random forest regression used for
21496,21496,How does a decision tree Regressor work
21497,21497,How does random forest predict probability
21498,21498,How do you interpret negative skewness
21499,21499,What does Pearson correlation coefficient mean
21500,21500,What are you doing when you create a frequency distribution
21501,21501,What is frequency distribution in statistics
21502,21502,What is the purpose of frequency
21503,21503,Why we construct a frequency distribution and a histogram for a data set
21504,21504,What is a single neuron neural network
21505,21505,What are the 2 types of fallacy
21506,21506,What are 2 logical fallacies
21507,21507,What principal component analysis tells us
21508,21508,What are the assumptions behind OLS linear regression
21509,21509,What is the orthogonality assumption in OLS
21510,21510,What is the significance of K in K means algorithm
21511,21511,What are the objectives of cluster analysis
21512,21512,What is the aim of clustering algorithm
21513,21513,How do you define outliers in data
21514,21514,How do you determine if a data point is an outlier
21515,21515,What is an outlier explain with one example
21516,21516,How do you determine if there are any outliers
21517,21517,How do you find outliers in continuous data
21518,21518,How do you know if t test is paired
21519,21519,What is a t test used for
21520,21520,What is data description in machine learning
21521,21521,What is the difference between linear regression and nonlinear regression
21522,21522,Why is sentiment analysis a useful NLP approach
21523,21523,How accurate is sentiment analysis
21524,21524,Is it appropriate to use a normal distribution to approximate the binomial distribution
21525,21525,When can the Poisson distribution be used to approximate the binomial distribution
21526,21526,How do you change a binomial distribution to a normal distribution
21527,21527,How do you find the z score of a binomial distribution
21528,21528,How do you find the probability of a standard normal distribution
21529,21529,What is the probability that a data value in a normal distribution
21530,21530,What is the purpose of K fold cross validation
21531,21531,What is CV score in machine learning
21532,21532,What determines the size of the sample to be used in a study
21533,21533,What is path analysis used for
21534,21534,How do you perform a path analysis
21535,21535,What is the difference between SEM and path analysis
21536,21536,How do you conduct a path analysis
21537,21537,What is path analysis structural equation modeling
21538,21538,What are the different situations which necessitate feature extraction
21539,21539,What does regression towards the mean mean
21540,21540,What is regression bias
21541,21541,Why it is called linear regression
21542,21542,What is regression through the origin
21543,21543,What does the error term in regression represent
21544,21544,What are the statistical tools used for experimental research
21545,21545,How do you analyze experimental data
21546,21546,What are statistical methods
21547,21547,What does post hoc mean in statistics
21548,21548,What is meant by Laplace smoothing in naive Bayes
21549,21549,What is RNN CNN
21550,21550,How do you Analyse chi square data
21551,21551,What type of data is used in a chi square test
21552,21552,How do you analyze chi square data in SPSS
21553,21553,What is probability explain
21554,21554,What is probability and its types
21555,21555,What is the danger of confirmation bias
21556,21556,What are the examples of sample
21557,21557,What is sample and sampling technique
21558,21558,What is the use of power spectral density
21559,21559,What does a negative correlation mean
21560,21560,How do you interpret a negative correlation coefficient
21561,21561,What does a weak negative correlation coefficient mean
21562,21562,How do you solve a negative coefficient
21563,21563,What do the coefficients in a regression mean
21564,21564,What does r2 tell you in regression
21565,21565,How do you know if a coefficient is statistically significant
21566,21566,What does the coefficient of a regression tell you
21567,21567,What are features in an image
21568,21568,How is probability used in everyday life
21569,21569,What is conditional probability used for
21570,21570,How are conditional probability and independence related in real world experiments
21571,21571,Why is knowing the probability of an event useful to real world application scenarios
21572,21572,What is the reason for taking a simple random sample instead of a convenience sample
21573,21573,Is Multicollinearity a time series data problem
21574,21574,What is Multicollinearity in data
21575,21575,How do I add a median filter to a photo
21576,21576,What is mean in image processing
21577,21577,What is a filter and why filtering is done
21578,21578,Why is filtering needed
21579,21579,How do you apply filter to an image
21580,21580,What is batch processing explain
21581,21581,What is mean by batch production
21582,21582,What is batch processing and stream processing
21583,21583,What do you mean by batch processing
21584,21584,What does a normal distribution histogram mean
21585,21585,Does the histogram appear to approximate a normal distribution
21586,21586,Is Normal Distribution A histogram
21587,21587,How do you fit a normal distribution into a histogram
21588,21588,What makes the normal distribution a probability distribution
21589,21589,How do you handle imbalanced data in deep learning
21590,21590,Why do we use pipeline in machine learning
21591,21591,What is the meaning of pipeline in machine learning
21592,21592,What is pipeline in deep learning
21593,21593,What is the role of indicator in titration
21594,21594,What is the role of an indicator
21595,21595,How do indicators work
21596,21596,Is discrete data qualitative or quantitative
21597,21597,Is quantitative variable discrete or continuous
21598,21598,Are years discrete or continuous
21599,21599,Is year a discrete variable
21600,21600,How do you calculate reliability
21601,21601,How do you calculate MTTF reliability
21602,21602,How can we measure reliability
21603,21603,What statistic measures reliability
21604,21604,How is test reliability determined
21605,21605,What is unique about a stratified sample
21606,21606,When would you use a stratified sample
21607,21607,Which type of sampling is more accurate Why
21608,21608,Which sampling method is practically best sampling method
21609,21609,Why simple random sampling is the best
21610,21610,What is AI towards data science
21611,21611,What is AI in data
21612,21612,Should I study AI or data science
21613,21613,Is Data Science and AI related
21614,21614,What subjects do you need for AI
21615,21615,What is sequential data analysis
21616,21616,What is sequence data in machine learning
21617,21617,How do you calculate Learning percentage
21618,21618,What is learning curve rate
21619,21619,How is η pronounced
21620,21620,What is the difference between Epsilon and ETA
21621,21621,What is the sign of ETA
21622,21622,What does bivariate normality mean
21623,21623,What do we mean bY normal distribution
21624,21624,What is the meaning of probability distribution
21625,21625,What is the random variable in normal distribution
21626,21626,What is the difference between neural network and artificial neural network
21627,21627,What is the difference between AI and deep learning
21628,21628,Are AI Artificial Intelligence ml machine learning and DL deep learning same
21629,21629,What are the types of estimation
21630,21630,What is the difference between point estimator and interval estimator
21631,21631,What is point and interval estimation
21632,21632,What is purpose of estimate
21633,21633,What are the different methods of estimation
21634,21634,What is the common method of product estimation
21635,21635,Why do we use sampling with replacement
21636,21636,Is it better to sample with or without replacement
21637,21637,Why are the with replacement and without replacement probability different
21638,21638,What is a random error definition
21639,21639,What is random error example
21640,21640,Is human error random error
21641,21641,What type of response variable is used for regression
21642,21642,What effect does switching the explanatory and response variables have on the regression line
21643,21643,What are the explanatory and response variables
21644,21644,When the explanatory variable is categorical and the response variable is quantitative what type of plot would be appropriate
21645,21645,Is naive Bayes affected by feature scaling
21646,21646,Are neural networks affected by feature scaling
21647,21647,Which algorithm is affected by scale of data
21648,21648,Does K means require scaling
21649,21649,What is Algorithm explain
21650,21650,Is linear regression predictive
21651,21651,Is linear regression a machine learning model
21652,21652,What type of analysis is linear regression
21653,21653,What do you understand by Markov process
21654,21654,How do you make a TensorFlow
21655,21655,What is the difference between classes and instances
21656,21656,What is backpropagation neural network
21657,21657,What is meant by back propagation in Ann
21658,21658,What is the difference between image classification and object detection
21659,21659,What is meant by image classification
21660,21660,What is image classification in computer vision
21661,21661,What are the image segmentation techniques
21662,21662,What is image segmentation in computer vision
21663,21663,What is regularization method
21664,21664,What is kernel size in CNN
21665,21665,What is a kernel size
21666,21666,What is image kernel
21667,21667,What is filter in neural network
21668,21668,Why is linear regression sensitive to outliers
21669,21669,Which method is sensitive to outliers
21670,21670,What is sensitivity in logistic regression
21671,21671,Is a regression equation sensitive to outliers
21672,21672,Why are outliers a problem for regression analysis
21673,21673,Are outliers a problem in multiple regression
21674,21674,When should outliers be excluded from a regression analysis
21675,21675,Should you remove outliers from regression
21676,21676,What is outliers in regression analysis
21677,21677,Is SVM sensitive to outliers
21678,21678,Is decision tree sensitive to outliers
21679,21679,Is LDA a dimensionality reduction
21680,21680,What is greedy method explain with example
21681,21681,What is drift in machine learning
21682,21682,What is bias and variance in regression
21683,21683,How do you convolve two functions
21684,21684,What is test strategy example
21685,21685,What is meant by test strategy
21686,21686,What is Test Plan vs test strategy
21687,21687,What test strategy contains
21688,21688,What are test design techniques
21689,21689,What are the different test case design techniques
21690,21690,What are the different types of testing techniques
21691,21691,How many test case design techniques are there
21692,21692,Can you use Lasso for logistic regression
21693,21693,How many layers do deep neural networks have
21694,21694,How does multiple testing correction work
21695,21695,How is FDR P value calculated
21696,21696,What is a sigmoid activation function
21697,21697,What gives nonlinearity to a neural network
21698,21698,How do I find the optimal batch size
21699,21699,What is optimum batch size
21700,21700,What is logistic regression in machine learning with example
21701,21701,How do you do logistic regression
21702,21702,What is dimensional analysis and where do we use this method
21703,21703,What are the application of dimensional analysis
21704,21704,How do you do double dimensional analysis
21705,21705,How is FFT frequency calculated
21706,21706,How do you extract frequency from FFT
21707,21707,What is the frequency range of FFT
21708,21708,What do you mean by decomposition of time series
21709,21709,What is multiplicative decomposition model
21710,21710,What are the commonly used model in time series analysis
21711,21711,Which model of time series is used more frequently
21712,21712,How do the additive and multiplicative models of time series differ from each other why is the multiplicative model the most commonly used in time series analysis
21713,21713,What do you mean by reinforcement learning
21714,21714,What happens when power factor high
21715,21715,Which of the following are false regarding reinforcement learning
21716,21716,What is the most popular tool for data visualization
21717,21717,Which are pros of data visualization
21718,21718,What is the power of Visualisation
21719,21719,What are benefits of visualization
21720,21720,What is KNN classification algorithm
21721,21721,What is meant by two events being statistically independent
21722,21722,How do you know if a probability is independent
21723,21723,How do you do independent and dependent events
21724,21724,What are independent and dependent events in probability
21725,21725,Why Adam Optimizer is best
21726,21726,How do you measure dissimilarity
21727,21727,What are moments physics
21728,21728,Do neurons light up
21729,21729,How does a neuron look
21730,21730,Can you see neurons
21731,21731,Do Neurons transmit information
21732,21732,Which neuron sends information
21733,21733,How does information travel through neurons
21734,21734,How do neurons convey information
21735,21735,Does PCA improve random forest
21736,21736,How can we improve random forest performance
21737,21737,What is confidence in object detection
21738,21738,What is SSD in object detection
21739,21739,Who came up with signal detection theory
21740,21740,What's a class interval
21741,21741,How do you find the class interval in a frequency distribution
21742,21742,What is class in frequency distribution
21743,21743,What is a normalized score
21744,21744,How do you find the Z score on Statkey
21745,21745,How do you normalize data z score
21746,21746,What is Z score Normalisation
21747,21747,How do you find data from Z score
21748,21748,What is Z score normalization in data mining
21749,21749,What does it mean to normalize a score
21750,21750,Why do we Normalise data
21751,21751,Why do you transform raw scores into z scores
21752,21752,What does a stepwise regression do
21753,21753,When should you use stepwise regression
21754,21754,How do you find the characteristic function of an exponential distribution
21755,21755,How do you simulate an exponential distribution
21756,21756,What is SVM linear kernel
21757,21757,What means kernel
21758,21758,What is a defining characteristic of a eigenvalue eigenvector pair
21759,21759,What does eigenvector mean
21760,21760,What is an eigenvector used for
21761,21761,What is the meaning of the word logarithm
21762,21762,How are logarithms calculated
21763,21763,Is Log10 the same as log
21764,21764,What is the value of log 11
21765,21765,What does random event mean
21766,21766,What is a random phenomenon
21767,21767,How is the cumulative distribution function derived
21768,21768,Is the CDF the derivative of the PDF
21769,21769,What is data mining and data analysis
21770,21770,What is data mining and its techniques
21771,21771,What is data analysis in data mining
21772,21772,What type of data is used in data mining
21773,21773,What is data and data analysis
21774,21774,What is the difference between analysis and analyst
21775,21775,Why do we need anomaly detection
21776,21776,How do you find the sample mean given the population mean
21777,21777,Is the sample mean the same as the population mean
21778,21778,Why is it important to distinguish between correlation and cause and effect
21779,21779,Why is the difference between correlation and causation
21780,21780,What is the difference between a correlational study and an experiment quizlet
21781,21781,What criteria can be used to distinguish between correlation and cause and effect
21782,21782,Why is it a fallacy to confuse causation and correlation
21783,21783,How can correlation be misinterpreted as causation
21784,21784,Which of the following is common goal of statistical Modelling
21785,21785,What are the advantages of Fourier transform
21786,21786,Why Fourier transform is used in signal processing
21787,21787,Is anomaly detection unsupervised learning
21788,21788,Is outlier analysis a type of supervised learning
21789,21789,What is meant by outlier analysis
21790,21790,What does gradient information mean
21791,21791,What is gradient computer
21792,21792,What is gradient based learning
21793,21793,What is epoch loss
21794,21794,How is epoch loss calculated
21795,21795,How do you calculate average deviation
21796,21796,Why we calculate the standard deviation
21797,21797,What does deviation from the mean mean
21798,21798,What is the formula of mean deviation from mean
21799,21799,Is Standard Deviation The average distance from the mean
21800,21800,How do you calculate the mean absolute deviation
21801,21801,What is the formula for mean deviation of grouped data
21802,21802,What are limitations of K means clustering
21803,21803,What is the smallest value a variance can be
21804,21804,What is minimum variation
21805,21805,What does the variance of the binomial distribution depend on
21806,21806,What is the standard deviation of a binomial distribution
21807,21807,What is the variance of a Bernoulli distribution
21808,21808,How do you find the maximum variance
21809,21809,What is considered a large variance in statistics
21810,21810,How do you find the measure of variation
21811,21811,What is overtraining in neural network
21812,21812,What is SVM example
21813,21813,What is meant by support vector machine
21814,21814,What is SVC in machine learning
21815,21815,Why does boosting reduce bias
21816,21816,How does maximum likelihood relate to OLS
21817,21817,What is OLS in machine learning
21818,21818,What is MLE in logistic regression
21819,21819,What is Backpropagation in neural network Mcq
21820,21820,How do you interpret Multicollinearity in SPSS
21821,21821,How do you find the probability of a gamma distribution
21822,21822,What is the major weakness of non probability sampling
21823,21823,Is work a tensor
21824,21824,What is a tensor in machine learning
21825,21825,What is tensors in neural network
21826,21826,What is score model
21827,21827,What is scoring in data analysis
21828,21828,How many units is Lstm
21829,21829,What is the difference between cell state and hidden state
21830,21830,How do you calculate Lstm parameters
21831,21831,How do you interpret a scatter plot correlation
21832,21832,What kind of data does a scatter plot represent
21833,21833,How do you describe the distribution of a scatter plot
21834,21834,What does a scatter plot tell us about your data
21835,21835,How do you predict data on a scatter plot
21836,21836,What is the difference between tokenization and encryption
21837,21837,What is difference between hashing and encryption
21838,21838,How do you do regression predictions
21839,21839,How do you use the regression equation
21840,21840,What is a predictor in regression analysis
21841,21841,How is regression used in forecasting
21842,21842,What can linear regression be used for
21843,21843,How do you find the mean of the normal curve
21844,21844,Why is the mean of a normal distribution zero
21845,21845,How do you read a bell curve
21846,21846,What are the general tasks that are performed with back propagation algorithm
21847,21847,How does time series analysis work in R
21848,21848,How do you analyze data over time
21849,21849,How can hindsight bias affect research
21850,21850,How does bias affect decision making
21851,21851,What do Hindsight 20/20 mean
21852,21852,Why is the series 1 N divergent
21853,21853,What does Drop_remainder true do
21854,21854,What is buffer size in TensorFlow
21855,21855,How do you find the critical value for a one tailed test
21856,21856,How do you find the critical value in a hypothesis test
21857,21857,How many rejection regions are there in a two tailed test
21858,21858,How do you know if its a right tailed test
21859,21859,What is SVM and when it is used
21860,21860,What is the loss function in SVM
21861,21861,What is the shape of loss landscape during optimization of SVM
21862,21862,What is 2 norm of a vector
21863,21863,What is the P norm
21864,21864,When was ImageNet created
21865,21865,Who made ImageNet
21866,21866,How big is ImageNet
21867,21867,Is linear regression sensitive to outliers
21868,21868,Why linear regression is sensitive to outliers
21869,21869,How do you deal with outliers in linear regression
21870,21870,What do regressions tell us
21871,21871,Why do we use regression analysis
21872,21872,What is a good model accuracy
21873,21873,How do you check logistic regression accuracy
21874,21874,How do you calculate accuracy in regression
21875,21875,What are the problems with hill climbing algorithm
21876,21876,What is meant by sample method
21877,21877,What is meant by sample method Class 11
21878,21878,What is mean by sampling
21879,21879,What is sample and its types
21880,21880,Which of the following method is used for hierarchical clustering
21881,21881,On which metric are based Dendrograms
21882,21882,What are confounding variables
21883,21883,What does it mean to control for confounding variables
21884,21884,Do you train unsupervised learning
21885,21885,How do you construct a sampling distribution of the mean
21886,21886,How do you use the word boost
21887,21887,What information can be obtained from a cross sectional study
21888,21888,What happens if we use a learning rate that is too large
21889,21889,What is an integral matrix
21890,21890,What is the integration of x2
21891,21891,What do you mean derivative of a vector field
21892,21892,Can you take the gradient of a vector
21893,21893,Is ml the same as AI
21894,21894,Are AI and machine learning the same thing
21895,21895,What is the difference between AI ml and deep learning
21896,21896,How do you describe large numbers
21897,21897,What are hidden layers in CNN
21898,21898,How do you find a vector space
21899,21899,What means data imbalance
21900,21900,How do you balance an unbalanced dataset
21901,21901,In what ways can output be determined from activation value
21902,21902,How does AI produce data
21903,21903,What type of data is used in machine learning
21904,21904,What data did you collect in machine learning
21905,21905,How are the data collected
21906,21906,Where do we collect data from in AI
21907,21907,What is data collection in AI
21908,21908,What is data and artificial intelligence
21909,21909,How are data collected
21910,21910,How is data being collected
21911,21911,What are ways to collect data
21912,21912,What is experimental statistics
21913,21913,What does design mean in statistics
21914,21914,What are examples of statistical techniques
21915,21915,What are statistical experiments
21916,21916,What is statistical experiment in probability
21917,21917,What is the purpose of statistical experiment
21918,21918,What is statistical experimental design
21919,21919,Why does fitting multiple linear regression model helps to explain the outcome better
21920,21920,What are the applications of regression
21921,21921,What are the applications of linear regression
21922,21922,What is a mixed Anova used for
21923,21923,How do you find the Z value in hypothesis testing
21924,21924,How do you find the Z test
21925,21925,How do you calculate the Z value
21926,21926,How do you calculate a one sample z test
21927,21927,What is the z value in hypothesis testing
21928,21928,How do you calculate z in hypothesis testing
21929,21929,What are the critical values of Z
21930,21930,What is the purpose of signal processing
21931,21931,What are the types of signals in data communication
21932,21932,What is quantile and percentile
21933,21933,What are Quantiles used for
21934,21934,Is quantile the same as quartile
21935,21935,What is the basis of the formula used in the Quantiles
21936,21936,What does model deployment mean
21937,21937,What is data deployment
21938,21938,Why is machine learning deployment hard
21939,21939,How do you identify a sample frame
21940,21940,What is the sampling unit
21941,21941,Why do we have N 1 instead of N for the sample standard deviation
21942,21942,Why does the formula for calculating the sample variance involve division by N 1 instead of N
21943,21943,Why does the formula use N 1 in the denominator Brainly
21944,21944,Is standard deviation N or N 1
21945,21945,What is random sampling
21946,21946,What is sampling and its types
21947,21947,Which is a random sampling method
21948,21948,Where is random sampling used
21949,21949,What is Time Series Analysis and its components
21950,21950,Does Trend method use time series data
21951,21951,What do you mean by time series analysis
21952,21952,What is scalability in machine learning
21953,21953,Why is scaling used in machine learning
21954,21954,Does dual booting reduce performance
21955,21955,What type of ML algorithm is suitable for predicting the continuous dependent variable with two different values
21956,21956,What is continuous variable in machine learning
21957,21957,What is Continuous Data example
21958,21958,What does the term continuous data mean
21959,21959,Can we use logistic regression for continuous variables
21960,21960,How do you code backtracking
21961,21961,Why are convolutional neural networks useful
21962,21962,Why do you need to apply feature scaling to logistic regression
21963,21963,What is prediction in machine learning
21964,21964,What is the use of stride in CNN
21965,21965,How do you find the continuous class interval
21966,21966,What does class interval mean
21967,21967,What is continuous series example
21968,21968,What is the class size in statistics
21969,21969,What are the two types of hypotheses used in a hypothesis test
21970,21970,What are the 2 types of hypothesis
21971,21971,What is the process of converting unstructured raw data with variances into structured raw data
21972,21972,How would you transform unstructured data into structured data
21973,21973,What can you do with unstructured data
21974,21974,What is a parameter in machine learning
21975,21975,What is a tensor used for
21976,21976,What does a tensor look like
21977,21977,What is a tensor in PyTorch
21978,21978,What are tensors in deep learning
21979,21979,What is a tensor
21980,21980,What happens to the bias and variance when the number of training samples increases
21981,21981,What are bias and variance and what are their relation to modeling data
21982,21982,What effect will Regularising your weights have on the bias and variance of your model
21983,21983,What is the difference between probability and frequency
21984,21984,What is frequency in probability
21985,21985,How many raw moments are there
21986,21986,How do you find the moment of a normal distribution
21987,21987,What is a frequency distribution graph
21988,21988,Which graph is best for frequency distribution
21989,21989,What is a frequency bar graph
21990,21990,How do you interpret cumulative relative frequency
21991,21991,What is the difference between GLM and Anova
21992,21992,Are Anova and linear regression the same
21993,21993,What are probability sampling techniques
21994,21994,Why do researchers prefer the use of probability sampling techniques
21995,21995,What is the purpose of sampling techniques
21996,21996,What is sample size and sampling techniques
21997,21997,Is decision tree used for regression
21998,21998,How does decision tree regression work
21999,21999,What is decision tree regression in machine learning
22000,22000,What is the loss function for decision tree
22001,22001,How does decision tree work for regression
22002,22002,What makes a person an outlier
22003,22003,Is being an outlier a bad thing
22004,22004,How do you do the Gaussian blur
22005,22005,Is Gaussian blur reversible
22006,22006,How do you find the marginal distribution in statistics
22007,22007,What is marginal distribution in probability
22008,22008,How do you do a conditional distribution
22009,22009,What is a conditional distribution of a variable
22010,22010,Is validation data used in training
22011,22011,What is validation in deep learning
22012,22012,What is sigmoid function used for
22013,22013,How do you combine classifiers
22014,22014,How do you stack machine learning
22015,22015,How do I combine two classifiers
22016,22016,Which are deep neural networks
22017,22017,Is Ann deep learning
22018,22018,Is neural network machine learning or deep learning
22019,22019,What is the difference between Ann and deep learning
22020,22020,What is Ann in machine learning
22021,22021,Is multiple regression the same as linear regression
22022,22022,Why do we use multiple linear regression
22023,22023,Which applications are best modeled by linear regression
22024,22024,Is linear regression a machine learning algorithm
22025,22025,What is Knn regression
22026,22026,What do you mean by learning rate
22027,22027,How can I increase my learning rate
22028,22028,Is NLP considered machine learning
22029,22029,What is NLP AI
22030,22030,How does NLP work in AI
22031,22031,Why do you use t distribution
22032,22032,Why do we use t distribution instead of Z score to find means
22033,22033,Is T distribution a normal distribution
22034,22034,What is normal distribution in t test
22035,22035,How does the T distribution compare with the normal distribution
22036,22036,Why do t distributions tend to be flatter and more spread out than the normal distribution is
22037,22037,What happens to the T distribution as the sample size increases
22038,22038,What happens to the T distribution as the sample size decreases
22039,22039,What is the entropy at equilibrium
22040,22040,What is the Leaf's in decision tree
22041,22041,What is Hyperplane in SVM
22042,22042,How do you select support vectors in SVM
22043,22043,How do you find B in SVM
22044,22044,How do predicted and actual values compare
22045,22045,How do you avoid omitted variable bias
22046,22046,What is shrinkage factor
22047,22047,What is Bayesian shrinkage
22048,22048,How can model complexity be reduced
22049,22049,What happens when your model complexity increases
22050,22050,What is model complexity
22051,22051,What is network embedding
22052,22052,What is the term used to mean the result of a random experiment
22053,22053,How does CNN calculate number of parameters
22054,22054,How are trainable parameters calculated CNN
22055,22055,How are parameters calculated in neural network
22056,22056,How do you count parameters in a model
22057,22057,What are the methods of random sampling
22058,22058,What are the steps of simple random sampling
22059,22059,What is the difference between PCA and factor analysis
22060,22060,When would you use a factor analysis
22061,22061,Which model is best for binary classification
22062,22062,Can CNN be used for binary classification
22063,22063,Can we use neural network for classification
22064,22064,What is meant by resolution in measurement
22065,22065,What is difference between resolution and sensitivity
22066,22066,What is the difference between resolution and least count
22067,22067,What is the purpose of optimizing
22068,22068,What is the difference between independent and dependent events choose the correct answer below
22069,22069,What does NLP include
22070,22070,What language is preferred for analytics
22071,22071,How do I do text analytics
22072,22072,What does text processing mean
22073,22073,What is the text data
22074,22074,What is NLP machine learning
22075,22075,What does it mean to analyze text and data
22076,22076,What is weight in networking
22077,22077,What are weights in artificial neural network
22078,22078,What is supervised learning and how it works
22079,22079,What is an example of a factorial design
22080,22080,How do you create a factorial experiment
22081,22081,What is a 2x2 within subjects design
22082,22082,What do we mean by regression toward the mean
22083,22083,Why does regression to the mean happen
22084,22084,Is 77 a good score on the Asvab
22085,22085,Is a 78 good on the Asvab
22086,22086,Is 78 a good Asvab score
22087,22087,Is 76 a good Asvab score
22088,22088,Is 75 a good Afqt score
22089,22089,Is a 76 A good Asvab score
22090,22090,Is an 83 on the Asvab test good
22091,22091,What is a good Asvab score
22092,22092,How do you find the Pearson correlation
22093,22093,What is the order of a tensor
22094,22094,What is rank in a matrix
22095,22095,How do you determine the rank of a tensor
22096,22096,Can population and sample be the same
22097,22097,Do the sample ranges target the value of the population range in general do sample ranges make good estimators of population ranges Why or why not
22098,22098,What does the sample mean tell you
22099,22099,Do the sample variances target the value of the population variance
22100,22100,What is the mean of all possible sample means
22101,22101,What effect does the sample size have on the standard error of the mean
22102,22102,What is data analytics What is need of big data analytics
22103,22103,What follows a Poisson distribution
22104,22104,Is Poisson discrete or continuous
22105,22105,How do you know if a distribution is binomial or Poisson
22106,22106,How do you know if its binomial
22107,22107,How do you find the reject region
22108,22108,Is the P value the rejection region
22109,22109,How do I find hidden layers
22110,22110,What is hidden layer size
22111,22111,What is hidden unit in neural network
22112,22112,How do you find the z score of a data set
22113,22113,What is the Z score formula in Excel
22114,22114,What is the function of z score
22115,22115,How do you find T and Z values
22116,22116,What do you mean by real time processing
22117,22117,What are the differences between real time and offline processing
22118,22118,How do you stop Overfitting neural networks
22119,22119,How does neural network detect Overfitting
22120,22120,What is the difference between MLP and deep learning
22121,22121,What is the general principle of an ensemble method and what is bagging and boosting in ensemble method
22122,22122,What statistical tests are used in a correlational study
22123,22123,What is the statistical test for correlation
22124,22124,What other statistical tests can be used to show correlation of two variables
22125,22125,Can Anova be used for correlation
22126,22126,Can you correlate dichotomous variables
22127,22127,What is a dichotomous variable
22128,22128,What is the adjusted p value
22129,22129,What does adjusted p value mean
22130,22130,What is tensor of inertia
22131,22131,Is moment of inertia a second order tensor
22132,22132,Are moment scalar or vector
22133,22133,Why is moment of force a vector quantity
22134,22134,What is the quantity of moment
22135,22135,What is a moment vector
22136,22136,How do you memorize concepts easily
22137,22137,How do you study concepts
22138,22138,What is a learning concept
22139,22139,What are the learning activities
22140,22140,How do you automate machine learning
22141,22141,How is AI used in automation
22142,22142,What is AI based automation
22143,22143,Is machine learning an automation
22144,22144,Why is frequency distribution important
22145,22145,What does a correlation of 0.4 mean
22146,22146,Is 0.4 A weak correlation
22147,22147,How do you know if a correlation is strong or weak
22148,22148,What does correlation doesn't imply causation mean
22149,22149,Why correlation is not causation
22150,22150,How does the Fourier transform work
22151,22151,Why do we use FFT
22152,22152,Why is Fourier analysis important
22153,22153,What is the mean of Poisson distribution
22154,22154,How do you find the mean and standard deviation of a Poisson distribution
22155,22155,What is the shape of a Poisson distribution
22156,22156,What is the variance of Poisson distribution
22157,22157,What is K in Poisson distribution
22158,22158,What is the mean of a probability distribution quizlet
22159,22159,What is the mean of the probability distribution Brainly
22160,22160,What does the mean of a binomial distribution mean
22161,22161,How do you find the gradient of a linear regression
22162,22162,What is a common feature of e learning
22163,22163,How does sample size affect accuracy
22164,22164,Why is a larger sample size more accurate
22165,22165,What happens to probability as sample size increases
22166,22166,What happens to test statistic as sample size increases
22167,22167,How does confidence level affect sample size
22168,22168,What is the effect of the level of confidence on the confidence interval
22169,22169,How different levels of confidence and sample size affect the width of the confidence interval
22170,22170,What is level of precision in sampling
22171,22171,How does the sample size affect the estimate
22172,22172,How do you make predictive analytics
22173,22173,What is predictive Modelling in Analytics
22174,22174,Is predictive analytics a data science
22175,22175,What is statistical decision making
22176,22176,What do you mean by decision making
22177,22177,How is statistics used in decision making
22178,22178,How is statistical thinking useful and relevant in decision making processes
22179,22179,What is swarm intelligence in artificial intelligence
22180,22180,How does the vision system work
22181,22181,What is sensing in machine vision
22182,22182,What is machine vision used for
22183,22183,What does the Y intercept mean in regression
22184,22184,What does Y intercept mean in linear regression
22185,22185,How do you interpret the Y intercept
22186,22186,How do you identify data patterns
22187,22187,Which machine learning technique is used for pattern recognition in the data
22188,22188,How does machine learning choose data
22189,22189,How many types of pattern recognition are there
22190,22190,What is pattern recognition in AI
22191,22191,What is classification in pattern recognition
22192,22192,What defines the normal distribution of a variable
22193,22193,What is normal data distribution
22194,22194,What is meant by correlation matrix
22195,22195,What is the slope of regression line
22196,22196,What is the slope in a regression analysis
22197,22197,How do you find the slope and intercept of a regression line
22198,22198,How do you find the slope of a regression line in Excel
22199,22199,How do you find the slope and y intercept of a regression line
22200,22200,How do you find the slope in R
22201,22201,How do you find the slope of the data
22202,22202,How do I find the slope of a regression line
22203,22203,What is meant by a marginal distribution What is meant by a conditional distribution What is meant by a marginal distribution a a marginal distribution is the relative distribution of both row or column variables in the contingency table B a marginal distribution is the effect of either row variable or the column variable in the contingency table C a marginal
22204,22204,How do you find marginal distribution AP stats
22205,22205,How do you check if the regression model fits the data well
22206,22206,How do you decide which variables are the most important in a regression
22207,22207,Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of N classes p1 p2 PK such that sum of P over all n equals to 1
22208,22208,What's the reason behind the boundedness of the output function in activation dynamics *
22209,22209,What is an activation value in artificial neuron Mcq
22210,22210,How can Multicollinearity be reduced in regression
22211,22211,How does ridge regression work
22212,22212,Is ridge regression biased
22213,22213,What does ridge regression do
22214,22214,What is the difference between variance and variation
22215,22215,What does coefficient of variation mean
22216,22216,How do you find the variance and coefficient of variation
22217,22217,What is the relationship between standard deviation and coefficient of variation
22218,22218,Is CV a measure of precision
22219,22219,What is are true about ridge regression when Lambda is 0
22220,22220,What is lambda in Glmnet
22221,22221,Is SD a measure of central tendency
22222,22222,Is Mean Deviation a measure of central tendency
22223,22223,Is mean absolute deviation a measure of center
22224,22224,How do you interpret the mean absolute deviation
22225,22225,Why is mean absolute deviation not used
22226,22226,Who invented signal detection
22227,22227,What is signal detection theory used for
22228,22228,What is signal detection analysis
22229,22229,How do you detect signals
22230,22230,What is a signal detection task you frequently encounter
22231,22231,Is uniform distribution discrete or continuous
22232,22232,What is the difference between uniform distribution and binomial distribution
22233,22233,What does a uniform distribution mean
22234,22234,What is planning and types of planning in artificial intelligence
22235,22235,What is an example of a moderating variable
22236,22236,What is the difference between moderating and mediating variables
22237,22237,How do you test for moderation effects
22238,22238,How do you calculate moderation
22239,22239,How do we test for moderation quizlet
22240,22240,How do you measure statistical validity
22241,22241,What determines validity of experiment
22242,22242,How do you explain validity of results
22243,22243,What do you mean by validity of a test
22244,22244,What are the properties of good estimators
22245,22245,Why do we need estimation
22246,22246,How do you print a tensor object
22247,22247,How do I print a tensor value in keras
22248,22248,How do I print a model summary in Tensorflow
22249,22249,How do you calculate eigen function
22250,22250,What is the formula for risk
22251,22251,What does risk difference mean
22252,22252,What does a risk ratio of 2 mean
22253,22253,How do you calculate risk increase
22254,22254,What is the formula for calculating relative risk
22255,22255,What is meant by S curve
22256,22256,What is the S curve in innovation
22257,22257,What is the diffusion S curve
22258,22258,What does the S curve model of the diffusion of innovation illustrate
22259,22259,What are some reasons that both technology improvement and technology diffusion exhibit S shape curves
22260,22260,What does it mean when your data is skewed to the left
22261,22261,How do you describe a left skewed distribution
22262,22262,How do you handle left skewed data
22263,22263,Why would a histogram be skewed to the left
22264,22264,What does positive interaction mean
22265,22265,How do you know if an interaction effect is significant
22266,22266,What is axiomatic approach to probability
22267,22267,Does T distribution have a mean of 0
22268,22268,What does the T value mean
22269,22269,How do you assess assessment
22270,22270,What is the meaning of accuracy and precision
22271,22271,How do you write logarithmic equations
22272,22272,How do you find the log function
22273,22273,What is logarithmic equation with example
22274,22274,What is a logarithmic function
22275,22275,How do you write a logarithmic equation
22276,22276,How do you use the log function
22277,22277,What is the difference between logarithmic and exponential growth
22278,22278,Is a logarithmic scale exponential
22279,22279,What is the relationship between log and exponential
22280,22280,What is the goodness of fit test for the multinomial experiment
22281,22281,What is a multinomial experiment
22282,22282,What is difference between polynomial and multinomial
22283,22283,Is Arima a machine learning algorithm
22284,22284,Why do we use dimensional analysis
22285,22285,How is dimensional analysis used in the real world
22286,22286,What is the null hypothesis for white test
22287,22287,Why do we use CNN
22288,22288,What are the uses of NLP
22289,22289,Why do we need NLP
22290,22290,What is power factor correction and the reasons why do we need that
22291,22291,What is the significance of p value in statistics
22292,22292,What test uses p value
22293,22293,Why are p values used in statistical analysis
22294,22294,What does significance mean in statistics
22295,22295,What does it mean if 0.05 is significant
22296,22296,What is an Lstm model
22297,22297,How do you split a dataset into train and test dataset in R
22298,22298,How do you split a test and training set in R
22299,22299,How do you split data in R
22300,22300,What is Overfitting Please briefly describe what is bias vs variance
22301,22301,In which situation is it appropriate to use the normal approximation to the binomial
22302,22302,What is the benefit of randomization
22303,22303,What are the two main purposes of randomization
22304,22304,What is the primary purpose of randomization quizlet
22305,22305,How do you calculate marginal probabilities
22306,22306,What best defines a conditional probability
22307,22307,How do you find the marginal probability in Excel
22308,22308,Are error bars standard deviation or standard error
22309,22309,Is it better to use standard deviation or standard error
22310,22310,Why is standard error of the mean usually preferred as an error bar on a sample mean rather than standard deviation
22311,22311,How do you use standard deviation to plot error bars
22312,22312,What is the N in statistics
22313,22313,What is sample size n
22314,22314,What is N in sampling distribution
22315,22315,What does N A mean in probability
22316,22316,Why do we use N 1 in variance
22317,22317,Why does variance use n 1
22318,22318,What does N stand for in statistics
22319,22319,What is N in a sample
22320,22320,What does the lowercase n mean in statistics
22321,22321,Why is it N 1 in sample variance
22322,22322,Why do we use N 1 in standard deviation
22323,22323,Why do we divide by N 1 in standard deviation
22324,22324,Why is Multicollinearity a problem in linear regression the least squares solution is undefined
22325,22325,Which of the following would indicate the possible presence of multicollinearity in a regression analysis
22326,22326,What is the maximum quantization error
22327,22327,What do you mean by quantization of charge
22328,22328,What do you mean by quantization of charge Class 12
22329,22329,Which of the following explains Availability Bias
22330,22330,How can you prevent Availability Bias
22331,22331,How do you counteract cognitive bias
22332,22332,How do you avoid action bias
22333,22333,Is availability heuristic a bias
22334,22334,What is availability bias example
22335,22335,What is an estimator in statistics
22336,22336,What is the difference between an estimator and an estimate
22337,22337,What is the difference between an estimator and an estimate Chegg
22338,22338,What is the difference between a point estimator and a point estimate
22339,22339,When testing for differences of means you can base statistical inference on the
22340,22340,Can AI take over human intelligence
22341,22341,What happens when AI becomes smarter than humans
22342,22342,What does sampling an image mean
22343,22343,What is image sampling and quantization
22344,22344,What is the use of quantization
22345,22345,What is another term for true positive rate
22346,22346,What is the importance of the normal curve
22347,22347,Where does the normal curve come from
22348,22348,When can you assume a normal distribution
22349,22349,What is K fold cross validation
22350,22350,Why k fold cross validation is better than hold out cross validation
22351,22351,What is stratified k fold cross validation
22352,22352,How does stratified K fold work
22353,22353,What is K in K fold cross validation
22354,22354,What is the function of cluster
22355,22355,What is the meaning of cluster
22356,22356,How do you use cluster
22357,22357,What is cluster computing
22358,22358,What is testing dataset in machine learning
22359,22359,Why is test dataset used
22360,22360,How do you choose a test and training set
22361,22361,What are the benefits of clustering
22362,22362,What is the goal of clustering
22363,22363,What is temporal clustering
22364,22364,Which of the following are the spatial clustering algorithm
22365,22365,What is cross sectional regression analysis
22366,22366,How do you calculate a trend in a time series
22367,22367,What is the meaning of trend analysis
22368,22368,What is the purpose of sensitivity analysis and how can it be useful
22369,22369,What is sensitivity analysis analysis
22370,22370,What is sensitivity analysis PDF
22371,22371,How do you do a sensitivity analysis
22372,22372,When would you use sensitivity analysis
22373,22373,What does the S curve represent
22374,22374,What is the S curve of learning
22375,22375,What does true negative mean
22376,22376,What is better false positive or false negative
22377,22377,What does the sign of the correlation coefficient tell you
22378,22378,How is AI being used today
22379,22379,Is it possible for AI to take over the world
22380,22380,What does the coefficient of determination R2 tell you
22381,22381,What is the adjusted coefficient of determination
22382,22382,What does Adjusted R2 mean
22383,22383,Why is R Squared less than adjusted R squared
22384,22384,What kind of algorithm would be required for the kind of predictive analysis
22385,22385,How do you test the relationship between two ordinal variables
22386,22386,Can you correlate ordinal variables
22387,22387,Which correlation is suitable for quantitative and ordinal variables
22388,22388,What is the difference between Pearson correlation and Spearman's rank correlation
22389,22389,How do frames differ from semantic nets
22390,22390,What is a frame in AI
22391,22391,What do you mean by semantic network
22392,22392,How do you find the degrees of freedom for an independent t test
22393,22393,What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal
22394,22394,What type of data is Likert scale
22395,22395,What type of statistical test is Anova
22396,22396,What kind of statistics is at test
22397,22397,What is the value of a test statistic
22398,22398,What is the difference between AZ statistic and at statistic
22399,22399,What is variance in decision tree
22400,22400,How do you measure the variance of a model
22401,22401,What is variance in machine learning
22402,22402,How do you find the variance and bias of a model
22403,22403,What is causal learning
22404,22404,What is causal AI
22405,22405,What is machine learning give one example
22406,22406,What is inference learning
22407,22407,How can we prevent selection bias
22408,22408,Does convenience sampling have bias
22409,22409,What are two ways to reduce bias in your research
22410,22410,How can sampling error be avoided
22411,22411,What sampling errors could occur and how could they be avoided
22412,22412,How do you ensure random sampling
22413,22413,How do you control sampling bias
22414,22414,How can learning be measured
22415,22415,What are the basic elements of active learning
22416,22416,What are the basic elements of active teaching and active learning
22417,22417,What are the elements of learning
22418,22418,Is IID a word
22419,22419,How do you calculate odds ratio and effect size
22420,22420,How big is a big odds ratio
22421,22421,How do you translate odds ratios
22422,22422,What do you mean by partition
22423,22423,How do you use the law of total probability
22424,22424,What do u mean by partition
22425,22425,When two events are disjoint are they independent
22426,22426,How do you know if two events are independent
22427,22427,Are joint events independent
22428,22428,Can two events with nonzero probabilities be both independent and mutually exclusive
22429,22429,How do you determine if two events are independent
22430,22430,What is calibration data
22431,22431,What does it mean to calibrate something
22432,22432,What is calibration and why is it important
22433,22433,What is Generalization in reinforcement learning
22434,22434,How do you improve accuracy in regression
22435,22435,How can multiple regression models be improved
22436,22436,How do you know if a linear model is good
22437,22437,What is N gram smoothing
22438,22438,Is Predictive Analytics machine learning
22439,22439,How accurate is Artificial Intelligence
22440,22440,What does R Squared mean in linear regression
22441,22441,Are inferential statistics a type of descriptive statistic
22442,22442,What statistical methods are used in inferential studies
22443,22443,How do you prove probability is mutually exclusive
22444,22444,What is SVM with linear kernel
22445,22445,How can SVM be applied on non linear data
22446,22446,What is nonlinear SVM
22447,22447,What is bias unit in neural network
22448,22448,How is EDA used in data science
22449,22449,What is EDA in machine learning
22450,22450,How do you do a face recognition search
22451,22451,What are the characteristics of normal probability curve
22452,22452,What defines a normal curve
22453,22453,What does OLS stand for in statistics
22454,22454,How is OLS calculated
22455,22455,How do you know when to use exponential distribution
22456,22456,What is the mode of exponential distribution
22457,22457,What is a negative exponential function
22458,22458,Is Poisson distribution exponential
22459,22459,What does impute missing data mean
22460,22460,How do you use K fold
22461,22461,What is K fold used for
22462,22462,Is K fold linear in K
22463,22463,What does Cross_val_score mean
22464,22464,What is the use of K fold cross validation
22465,22465,What is KFold in Python
22466,22466,What are the advantages and disadvantages of K fold cross validation relative to
22467,22467,How do we know when data are normally distributed
22468,22468,What is symbolic AI approach
22469,22469,How is machine learning different than a symbolic artificial intelligence system
22470,22470,What is symbolic reasoning in AI
22471,22471,What is the difference between endogenous and exogenous
22472,22472,How do you find the frequency of a class interval
22473,22473,How do you construct a frequency distribution class
22474,22474,How do you do Poisson regression in SPSS
22475,22475,How do you do a regression assumption in SPSS
22476,22476,What is the distribution of a histogram
22477,22477,How can a histogram or distribution be used to describe populations
22478,22478,What is a probability distribution chart
22479,22479,How do you tell if a distribution is a probability distribution
22480,22480,What is a distribution graph
22481,22481,How do you activate neurons in the brain
22482,22482,What do neurons stimulate
22483,22483,Why are hidden layers called hidden
22484,22484,How many hidden layers should a neural network have
22485,22485,Which variable is the input variable
22486,22486,Is the input the independent variable
22487,22487,What is the purpose of using logarithms
22488,22488,Is log 0 possible
22489,22489,What is the use of log in machine term
22490,22490,What is the importance of logarithms
22491,22491,What are logarithms and what are they used for
22492,22492,What is a good D prime score
22493,22493,How do you test for serial correlation
22494,22494,Why do we test for autocorrelation
22495,22495,What tests for the presence of autocorrelation between residuals
22496,22496,How do you handle autocorrelation in regression
22497,22497,What is standard error of the estimate
22498,22498,What is standard error in statistics
22499,22499,What is the error of estimation
22500,22500,What is the standard error of the estimate in regression
22501,22501,How do you calculate SE in regression
22502,22502,How is standard error written
22503,22503,What is the formula for calculating the standard error of sample means
22504,22504,Is JSON considered structured data
22505,22505,What structured data examples
22506,22506,What is absorbing state in stochastic process
22507,22507,What makes a matrix stochastic
22508,22508,What is recurrent state
22509,22509,What is an absorbing state
22510,22510,How do you prove a state is recurrent
22511,22511,What is statistical sampling
22512,22512,Why do we measure distance
22513,22513,Is the measure of distance between two points
22514,22514,How is distance calculated in real life
22515,22515,What are the uses of standard deviation
22516,22516,What does standard deviation reveal
22517,22517,What is standard deviation of the mean
22518,22518,How do you explain standard deviation in words
22519,22519,What does standard deviation measure
22520,22520,What is standard deviation and its uses
22521,22521,What is the function of kernel explain system calls with example
22522,22522,What is a kernel function in statistics
22523,22523,What do you mean by inductive bias
22524,22524,What is the hypothesis space of linear regression
22525,22525,What is biased learning
22526,22526,What is weight and bias in deep learning
22527,22527,What is LDA and QDA
22528,22528,What does discriminant analysis do
22529,22529,How many variables are needed for factor analysis
22530,22530,What is maximum likelihood factor analysis
22531,22531,How do you evaluate a correlation matrix
22532,22532,How does a correlation matrix work
22533,22533,How do you calculate correlation analysis
22534,22534,How do you describe correlation results
22535,22535,How do you explain correlation analysis
22536,22536,How do you tell if a hypothesis test is left tailed
22537,22537,What is left tailed
22538,22538,What makes a hypothesis two tailed
22539,22539,How do you find the left tailed p value
22540,22540,How do you tell if it's right or left tailed
22541,22541,How do you know if it is a right tailed test
22542,22542,Is the hypothesis test left tailed right tailed or two tailed
22543,22543,What is meant by data science
22544,22544,What is data science and its types
22545,22545,What is data science and why is it important
22546,22546,What is the answer of data
22547,22547,Is range a measure of center
22548,22548,How is the range used as a measure of variation
22549,22549,Is range a measure of variance
22550,22550,How do you calculate classification rate
22551,22551,How we are calculating accuracy from classification models
22552,22552,How do I work out the interquartile range
22553,22553,What are the properties of regression line
22554,22554,What are the properties of least square estimators
22555,22555,What is a least squares regression line
22556,22556,What does rejecting the null hypothesis mean
22557,22557,How do you know when to reject or accept alternative hypothesis
22558,22558,Which method can be used to carry out clustering
22559,22559,What is cluster analysis in research methodology
22560,22560,How do you cluster data
22561,22561,Which metric is used for classification problem
22562,22562,Which metric can be used to evaluate the performance of a classification model
22563,22563,What the common metrics are for overall model performance
22564,22564,What does a low R Squared mean
22565,22565,What does R Squared mean in regression analysis
22566,22566,What is a good R2 for linear regression
22567,22567,What is machine learning introduction
22568,22568,What is machine learning used for
22569,22569,What are the concepts in machine learning
22570,22570,What is the core of machine learning
22571,22571,What are the basic stuff needed to learn machine learning
22572,22572,What is a logit in machine learning
22573,22573,Why do we use log odds
22574,22574,What does log odds mean
22575,22575,How are measures of central tendency and measures of dispersion used to compare data
22576,22576,Can the measures of central tendency and the measures of spread be used together to describe a set of scores
22577,22577,What does it mean for two events to be independent
22578,22578,How do you know if two variables are statistically independent
22579,22579,Is Big Data and Machine Learning same
22580,22580,What kind of data is needed for machine learning
22581,22581,Does AI require big data
22582,22582,Is big data required for machine learning
22583,22583,Why is it called probability density function
22584,22584,What are layers in neural network
22585,22585,What is the meaning of random
22586,22586,What does Radom mean
22587,22587,What is another word for random
22588,22588,What does random guy mean
22589,22589,What is the difference between computer vision and machine vision
22590,22590,What can computer vision be used for
22591,22591,How do you do computer vision
22592,22592,Who invented Markov chains
22593,22593,What is the formula for sample size
22594,22594,What sample size is needed to give a margin of error
22595,22595,Can Mean be used for ordinal data
22596,22596,How do you test two ordinal variables
22597,22597,What is the ideal learning rate
22598,22598,What is the effect of learning rate on prediction *
22599,22599,How much GPU is enough for deep learning
22600,22600,What GPU is good for deep learning
22601,22601,Is logistic regression decision boundary linear
22602,22602,Is logistic regression a model based algorithm
22603,22603,How do you find autocorrelation in R
22604,22604,What is autocorrelation R
22605,22605,How do you find the correlation between two time series in R
22606,22606,What is autocorrelation and how it is different from serial correlation
22607,22607,What is dimension and measure in data warehouse
22608,22608,What is dimension in data warehousing
22609,22609,What are dimensions and measures
22610,22610,How many dimensions do we live in
22611,22611,What is embedding in ML
22612,22612,What is embedding in TensorFlow
22613,22613,What is sampling unit in audit
22614,22614,What is a sampling unit A level maths
22615,22615,What is separate sampling
22616,22616,Which of the following are correct elements used in Hidden Markov model
22617,22617,What part of the brain helps you make good decisions
22618,22618,How do you train yourself to make decisions
22619,22619,How do you know if its linear or nonlinear
22620,22620,What is linear and non linear data
22621,22621,What is nonlinear association
22622,22622,Is the association positive or negative
22623,22623,What does a non linear relationship look like
22624,22624,What is the relationship between linear and nonlinear text
22625,22625,Why is response bias of concern
22626,22626,What is a function in probability
22627,22627,What does the mean of a probability distribution tell us Brainly
22628,22628,What can a box plot be used for
22629,22629,What can you compare box plots to
22630,22630,What information do you need to make a box plot
22631,22631,What does Response bias mean
22632,22632,Why does response bias occur
22633,22633,What is a Undercoverage bias
22634,22634,What is nonresponse error
22635,22635,What is pdf of normal distribution
22636,22636,How do you find the value of a combination
22637,22637,What type of data does a regression analysis use
22638,22638,Is regression analysis quantitative or qualitative
22639,22639,What is meant by test retest reliability
22640,22640,How do you interpret test retest reliability scores
22641,22641,What is data warehouse partitioning
22642,22642,What does partitioning data mean
22643,22643,What is partitioning in Bigquery
22644,22644,What is the purpose of using least squares to fit the regression line
22645,22645,Which line is considered as the best fit line for a linear regression model
22646,22646,How do you find the least squares line of best fit
22647,22647,Is statistics used in AI
22648,22648,What is AI in statistics
22649,22649,How does AI work with data
22650,22650,Is factor independent variable
22651,22651,What counts as an independent variable
22652,22652,What is the meaning of Factor
22653,22653,What is the probability of all outcomes in a sample space
22654,22654,When each outcome of a sample space is as likely to occur as any other the outcomes are called
22655,22655,What is multinomial example
22656,22656,What is the purpose of image classification
22657,22657,How do you classify an image using Tensorflow
22658,22658,What are the advantages and disadvantages of Anova
22659,22659,What is meant by Huffman coding
22660,22660,Why is Huffman coding important
22661,22661,What is the major advantage of adaptive Huffman over simple Huffman
22662,22662,What are the limitations of Huffman coding
22663,22663,What are the real world applications of Huffman coding
22664,22664,How do you tell if a test is two tailed or one tailed
22665,22665,What do you mean by principle of least square method
22666,22666,What is the basic principle of least square method for curve fitting
22667,22667,What are the properties of regression lines
22668,22668,What are some criticisms of IQ tests
22669,22669,What does bias of an IQ test mean
22670,22670,How do you find the control variable
22671,22671,How do you identify independent dependent and control variables
22672,22672,What variables can be manipulated
22673,22673,What is parameter in machine learning
22674,22674,What is parameters in CNN
22675,22675,What are classification types
22676,22676,How do you find the Poisson parameter
22677,22677,How do you find the Lambda of a Poisson distribution
22678,22678,What does Poisson distribution describe
22679,22679,What does a Poisson distribution tell you
22680,22680,Why is Poisson distribution used
22681,22681,Which naive Bayes algorithm is ideal if the input variables are binary categorical variables
22682,22682,How is regression calculated
22683,22683,How is linear regression measured
22684,22684,What can you measure if you use a regression analysis
22685,22685,What are the metrics which could be used to measure the performance of a regression model
22686,22686,Which metric is used to determine the significance of the overall model fit
22687,22687,What is a robust test in statistics
22688,22688,How do you find the accuracy of a ML model
22689,22689,How does a classifier work
22690,22690,Is neural network a reinforcement learning
22691,22691,What is correction factor in titration
22692,22692,Why is the probability that a continuous random variable takes on any specific value equal to zero
22693,22693,Why will a density curve always give a probability of zero
22694,22694,What is the probability that a standard normal random variable takes the value 0
22695,22695,What is a Timestep
22696,22696,What is Return_sequences in Lstm
22697,22697,How would you describe machine learning
22698,22698,What is the relation between big data and machine learning
22699,22699,Which data type is used to teach a machine learning algorithm
22700,22700,Which type of data is required in machine learning
22701,22701,How do I train in TensorFlow
22702,22702,How does changing the standard deviation and the mean affect the normal distribution
22703,22703,What is the relationship between normal distribution and standard normal distribution
22704,22704,What does the uniform distribution and normal distribution have in common
22705,22705,What is the difference between skewed and uniform distribution
22706,22706,Why is it correct to say a normal distribution and the standard normal distribution describe the cases in which the different terms are used choose the correct answer below
22707,22707,What is correct regarding a normal distribution
22708,22708,What was the original purpose for using stepwise regression
22709,22709,What is enter method regression
22710,22710,How do I generate association rules from frequent itemsets
22711,22711,How is association rule mining from large databases
22712,22712,How do you create association rules in data mining
22713,22713,What do you need to calculate standard error
22714,22714,How do you find the standard error of the sample mean
22715,22715,What is the formula for the standard error of the sample proportion
22716,22716,What is the formula for standard error of measurement
22717,22717,What is the difference between data science
22718,22718,Is data mining and machine learning same
22719,22719,What is the difference between human and machine
22720,22720,How do humans learn and how it can be associated with machine learning
22721,22721,What is the difference between absolute error and mean absolute error
22722,22722,What is MAD and MAPE
22723,22723,How do you calculate mad MSE and MAPE
22724,22724,What is the difference between RMS MSE and standard deviation
22725,22725,How do you calculate standard deviation from MSE
22726,22726,Why is normality important in statistical inference
22727,22727,What does normality mean in statistics
22728,22728,What is the purpose of normality test
22729,22729,How do standard scores relate to the normal curve
22730,22730,How do you know if data is skewed
22731,22731,What does skewed mean
22732,22732,What does disambiguation mean
22733,22733,What are two prioritization strategies
22734,22734,How do you prioritize in agile
22735,22735,How can I improve my prioritization skills
22736,22736,What is Delta error in Perceptron model of neuron
22737,22737,What is the catch with Experian boost
22738,22738,What is random effect meta analysis
22739,22739,What are random effects
22740,22740,What is Sigma in SVD
22741,22741,What is the other name of SVD
22742,22742,How SVD is used in image compression
22743,22743,What is ETA in neural network
22744,22744,What's an ETA
22745,22745,What is epoch in machine learning
22746,22746,Why is lower learning rate superior
22747,22747,Is machine learning in high demand
22748,22748,Does machine learning have a future
22749,22749,What is gradient loss
22750,22750,What is gradient function
22751,22751,How does a gradient boosted tree work
22752,22752,What is categorical binary data
22753,22753,Is dichotomous variable categorical
22754,22754,What does a binary variable mean
22755,22755,How do you create a binary variable
22756,22756,Is binary data discrete
22757,22757,Is binary data continuous
22758,22758,How do the T and Z distributions differ
22759,22759,How are z and t confidence intervals different
22760,22760,Is confidence interval an effect size
22761,22761,How do you calculate confidence interval for effect size
22762,22762,What does an effect size mean
22763,22763,What is the relationship between sample size and confidence interval
22764,22764,What does the effect size tell us
22765,22765,What is a statistically significant confidence interval
22766,22766,How do you know when statistics are statistically significant
22767,22767,What is parametric statistical test
22768,22768,Is Regression a correlational design
22769,22769,Does correlation mean linear relationship
22770,22770,How do you determine if there is a linear relationship
22771,22771,What are coefficients and what do they tell us
22772,22772,What is the coefficient in multiple regression
22773,22773,What is the coefficient estimate
22774,22774,What is a coefficient estimate in regression
22775,22775,What are data mining algorithms
22776,22776,What are the techniques used in data mining
22777,22777,What are the major data mining processes
22778,22778,What is the z score of 84%
22779,22779,How do you find the Z score step by step
22780,22780,How do you find standard deviation from Z score
22781,22781,What are the mean and standard deviation of the z scores
22782,22782,How do you find the z score corresponding to percentile
22783,22783,How do you find the corresponding z score on a TI 84
22784,22784,What is entropy in cyber security
22785,22785,Is machine learning required for data analytics
22786,22786,Is AI part of data analytics
22787,22787,Is machine learning part of business analytics
22788,22788,What is the difference between data analytics and machine learning
22789,22789,Is machine learning a part of data analytics
22790,22790,Is machine learning important for data analytics
22791,22791,Is beta distribution symmetric
22792,22792,How do you know if your data is parametric or nonparametric
22793,22793,Does logistic regression assume normality
22794,22794,What is dimensionality reduction used for
22795,22795,What are advantages of dimensionality reduction
22796,22796,What background is needed for machine learning
22797,22797,Does AI require coding
22798,22798,Is significance the same as P value
22799,22799,How does P value relate to Alpha
22800,22800,What does Alpha mean in probability
22801,22801,What is Alpha in normal distribution
22802,22802,What does an alpha level of .01 mean
22803,22803,What does it mean when p value is less than alpha
22804,22804,What does it mean if the p value is less than the significance level
22805,22805,What does a low alpha level mean
22806,22806,Which of the following option is are correct regarding the benefits of the ensemble model
22807,22807,Why do we Normalise input
22808,22808,What is the significance of standard error in statistics
22809,22809,What does standard error of the mean tell us
22810,22810,What does standard error of estimate mean
22811,22811,How do you find the mean of a frequency distribution
22812,22812,What is the formula to find frequency in statistics
22813,22813,Why is a frequency distribution useful
22814,22814,What does a frequency distribution mean
22815,22815,What is a frequency distribution of qualitative data and why is it useful
22816,22816,How do you explain sensitivity and specificity
22817,22817,Is logistic regression a classification
22818,22818,What does a histogram measure
22819,22819,What is histogram analysis explain with example
22820,22820,What should you look for in a histogram statistics
22821,22821,What is decision tree in ML
22822,22822,How does decision tree split
22823,22823,What is true about ridge regression
22824,22824,Which of the following is true about R Squared
22825,22825,How do you create a stratified random sample
22826,22826,What is the method for selecting a stratified sample
22827,22827,What are the criteria of selecting sampling procedure
22828,22828,When selecting a stratified sample the sample size is
22829,22829,What is the difference between a high and low pass filter
22830,22830,Why is it called a low pass filter
22831,22831,How is the high pass filter formed
22832,22832,What Should low pass filter be set to
22833,22833,Where are high pass filters used
22834,22834,Is naive Bayes a classification algorithm
22835,22835,What Bayesian classification is
22836,22836,What is multinomial naive Bayes classifier
22837,22837,Which type of naive Bayes classifier is best suited for document classification problem
22838,22838,What are the two main assumptions made by the naive Bayes classifier
22839,22839,What is the difference between linear and multiple regression
22840,22840,What is MLR model
22841,22841,Does percent error indicate accuracy or precision
22842,22842,What is the difference between percent error and percent difference
22843,22843,How do you calculate precision and uncertainty
22844,22844,How do you tell the difference between accuracy and precision
22845,22845,What is a good percent error
22846,22846,What does the percent difference tell you
22847,22847,How do you find the expected value of a geometric random variable
22848,22848,How do you find the expected value deviation
22849,22849,How do you find the expected value and standard deviation of a binomial random variable
22850,22850,What is a disadvantage of quota sampling
22851,22851,Which sampling method is most biased
22852,22852,How is neural network size determined
22853,22853,How is neural network architecture defined
22854,22854,What is a query vs a subquery
22855,22855,What is a predictive variable
22856,22856,What is meant by cost function in machine learning
22857,22857,What is the goal of exploitation and what is the goal of exploration
22858,22858,How do you choose a reinforcement algorithm
22859,22859,Why do we use gradient descent
22860,22860,How do you do gradient descent in linear regression
22861,22861,Which of the following is the purpose of the gradient descent algorithm in machine learning
22862,22862,What does a gradient descent algorithm do
22863,22863,What is unstructured data in statistics
22864,22864,How do you calculate the probability
22865,22865,What is meant by probability mass function
22866,22866,How do you find the probability mass function example
22867,22867,What is PDF and PMF
22868,22868,What is the probability function
22869,22869,How AI affects the future
22870,22870,What is LSI Where do we use it
22871,22871,How do you describe a logarithmic function
22872,22872,How do you answer logarithmic functions
22873,22873,What is the logarithmic formula
22874,22874,How do you find cosine of two vectors
22875,22875,How does cosine similarity work
22876,22876,What is an example of a posteriori knowledge
22877,22877,What is a priori and a posteriori knowledge
22878,22878,What does posteriori mean
22879,22879,What is Fourier series used for
22880,22880,For which type of signals Fourier series can be used
22881,22881,How Fourier transform is used in signal processing
22882,22882,Why does entropy happen
22883,22883,Is entropy a energy
22884,22884,What do u mean by stratification
22885,22885,What does it mean to stratify a sample
22886,22886,How do you choose a variable to stratify by
22887,22887,Are neural networks used in machine learning
22888,22888,Is machine learning the same as neural network
22889,22889,Is neural network a machine learning algorithm
22890,22890,Is deep learning an algorithm
22891,22891,What do you mean by learning curve
22892,22892,How many types are in learning curve
22893,22893,How do you create a learning curve
22894,22894,What is the outlier in a set of data
22895,22895,How many outliers are in this data set
22896,22896,Why is interquartile range useful
22897,22897,Where is interquartile range used
22898,22898,What is an outlier inter quartile range IQR
22899,22899,What is the range of outliers
22900,22900,What is the interquartile range IQR of the data
22901,22901,How do you conduct a factor analysis
22902,22902,How do you interpret factor analysis
22903,22903,How do you find the deviation from the mean
22904,22904,Why do we calculate mean and standard deviation
22905,22905,What does mean and standard deviation tell you
22906,22906,Why do we use mean deviation
22907,22907,What are the benefits of learning activities
22908,22908,What is activity based learning
22909,22909,What is activity and importance of activity method
22910,22910,What does significant and not significant mean in statistics
22911,22911,What does it mean if at test is not significant
22912,22912,How is the metric system different from the United States system
22913,22913,When did the US change to the metric system
22914,22914,Why is the metric system used instead of the US customary system
22915,22915,How important are normal residuals in regression analysis
22916,22916,Is Chi square distribution positively skewed
22917,22917,What happens to the critical value for a chi square test of the size of the sample is increased
22918,22918,Why does the critical value decrease as the number of degrees of freedom increase
22919,22919,What does it mean when your chi squared is higher than the critical value
22920,22920,What happens to the shape of the chi square distribution as the degrees of freedom increase
22921,22921,What is relationship of conditional probability and conditional distribution
22922,22922,What is the difference between conditional and unconditional probability
22923,22923,What do you mean by statistical inference
22924,22924,How do you find the mean in regression
22925,22925,What is the mean of linear regression
22926,22926,What is meant by regression to the mean
22927,22927,How do you calculate simple regression
22928,22928,What is simple regression function
22929,22929,What does regression equation mean
22930,22930,What is linear SVM classification
22931,22931,How much data do you need for logistic regression
22932,22932,What is effect size in logistic regression
22933,22933,What is a good use case for logistic regression
22934,22934,Whats the definition of ensemble
22935,22935,What is true about the ensemble classifiers
22936,22936,How do you use ensemble of classifier
22937,22937,What are the uses of hashing
22938,22938,Why would you hash a file
22939,22939,What does it mean to hash data
22940,22940,What is hashing and why it is used
22941,22941,What does hashing mean in Python
22942,22942,What is meant by the coefficient of variation how is it used as a measure of risk
22943,22943,Does coefficient of variation measure accuracy or precision
22944,22944,Why variance is not a good measure of risk
22945,22945,How are risks measured
22946,22946,What does variance measure
22947,22947,What is probability of distribution in term of binomial and frequency distribution
22948,22948,How would you convert a grouped frequency distribution to a relative frequency distribution
22949,22949,Is frequency equal to probability
22950,22950,How is probability related to relative frequency
22951,22951,How do you convert frequency to probability
22952,22952,Are relative frequency and experimental probability the same
22953,22953,How do you plot bivariate data
22954,22954,What plot is used to display two quantitative variables
22955,22955,What is data science in coding
22956,22956,What is a good sample size for statistical analysis
22957,22957,What is the point of ap value
22958,22958,What does predictive power mean
22959,22959,How are association rules mining from large databases
22960,22960,What is weight decay Adam
22961,22961,What are the differences between Z and T distributions when and why do we use t distribution instead of Z distribution
22962,22962,What is the mean of a standard normal distribution
22963,22963,How do you determine if a normal distribution is appropriate
22964,22964,Is mean absolute deviation the same as mean
22965,22965,How do I find the mean absolute deviation
22966,22966,What is the difference between mean absolute deviation and standard deviation
22967,22967,What is Steinmetz constant
22968,22968,How is hysteresis loss calculated
22969,22969,What is B H curve
22970,22970,What is difference between H and B
22971,22971,What are datasets in machine learning
22972,22972,What role does the back propagation error have in training a neural network
22973,22973,What is back propagation learning
22974,22974,How is backpropagation implemented
22975,22975,What is input channel in CNN
22976,22976,What is neural input
22977,22977,What is input and target in neural network
22978,22978,What is an input node
22979,22979,What does a factorial represent
22980,22980,What is the factorial rule
22981,22981,Why do we create null hypothesis
22982,22982,What is a good r squared correlation
22983,22983,What is output unit
22984,22984,What do you mean by input unit
22985,22985,What are the characteristics of ordinal data
22986,22986,Why is recurrent neural network best suitable for machine translation
22987,22987,What is the relationship between a sample and a population quizlet
22988,22988,Why is it important to analyze the relationship between a sample and full population
22989,22989,What is the difference between sample covariance and population covariance
22990,22990,What is population covariance
22991,22991,How do you find the Gini coefficient in Excel
22992,22992,WHO calculates Gini coefficient
22993,22993,What is the relation between disparity map and depth
22994,22994,How do you get a disparity map
22995,22995,What is C parameter in SVM
22996,22996,What is Hyperparameter in SVM
22997,22997,Does linear SVMs have hyper parameters
22998,22998,What is meant by spatial filtering
22999,22999,What does linear filtering do
23000,23000,Which of the following is involved in linear spatial filtering
23001,23001,How do filters work in CNN
23002,23002,What are the two forms of the appeal to ignorance
23003,23003,What is fallacy definition
23004,23004,What are the types of fallacies
23005,23005,How do you explain fallacies
23006,23006,Is classification supervised or unsupervised
23007,23007,How can we use unsupervised clustering models for classification tasks
23008,23008,Do you need a degree for artificial intelligence
23009,23009,What are the major branches of artificial intelligence
23010,23010,Is artificial intelligence a good major
23011,23011,What is splitting in data structure
23012,23012,How do you calculate information Split
23013,23013,What is backward reasoning in AI
23014,23014,What is a gradient boosted model
23015,23015,What is GBM in machine learning
23016,23016,What is an example of empirical
23017,23017,What counts as empirical evidence
23018,23018,How do you use empirical evidence in a sentence
23019,23019,Is normal the same as Gaussian
23020,23020,What is a t test for dependent groups and when do you use it
23021,23021,What is the t test for dependent samples used for
23022,23022,What is the purpose of t test
23023,23023,What is the main use of the t test for two independent groups
23024,23024,What is a dependent sample t test
23025,23025,What is the difference between a dependent and independent samples t test
23026,23026,What type of data is needed for an independent t test
23027,23027,What is clustering in data mining
23028,23028,Which function is used to represent the target function
23029,23029,What is the basic concept of learning
23030,23030,What is the Vgg neural network
23031,23031,What does the least squares method minimize
23032,23032,What does the least square regression line minimize
23033,23033,What does ordinary least squares minimize
23034,23034,What is outcome logistic regression
23035,23035,Which hypothesis is used for logistic regression
23036,23036,What is the relationship between big data and AI
23037,23037,Is machine learning part of big data
23038,23038,Which is better machine learning or big data
23039,23039,Why is machine learning useful
23040,23040,How are ML algorithms implemented
23041,23041,What are big data algorithms
23042,23042,How do you find the mean of a frequency density histogram
23043,23043,What does a density histogram show
23044,23044,How do you find the frequency in a histogram
23045,23045,Do histograms show the frequency of individual data values
23046,23046,Is frequency a density
23047,23047,Why do we use frequency density instead of frequency
23048,23048,How do u find the frequency
23049,23049,What is frequency density used for
23050,23050,What is auto associative network
23051,23051,Which best describes an auto associative network
23052,23052,What is the standard error of the difference between two means
23053,23053,How do you find the standard error of two samples
23054,23054,How do you compare two means
23055,23055,What is the mean difference in statistics
23056,23056,What values are 2 standard deviations away from the mean
23057,23057,How do I find the standard error of the mean
23058,23058,How does gradient boosting algorithm work
23059,23059,Why boosting is a more stable algorithm
23060,23060,What is the meaning of the area under the curve
23061,23061,Which are machine learning algorithms
23062,23062,What is Mnist dataset
23063,23063,How do you classify an image using TensorFlow
23064,23064,Can categorical variables be collinear
23065,23065,How is Q value calculated
23066,23066,What's the meaning of parameters
23067,23067,What is the example of parameter
23068,23068,What is the use of parameter
23069,23069,What do you mean by parameters
23070,23070,What are the 4 basic elements of statistics
23071,23071,What are statistical concepts and methods
23072,23072,What is the meaning of basic statistics
23073,23073,What are the three main aspects of statistics
23074,23074,What are the three branches of statistics
23075,23075,What are the major areas of statistics
23076,23076,How do you determine independent and dependent variables
23077,23077,What are control variables and why are control variables important
23078,23078,Why is it important to have controlled variables in an experiment
23079,23079,Can you control the dependent variable
23080,23080,Is dependent variable the same as controlled variable
23081,23081,What influences the dependent variable
23082,23082,Can the control group and independent variable be the same
23083,23083,Do you control independent or dependent variables
23084,23084,Is the dependent variable the control group
23085,23085,Do we change the dependent variable
23086,23086,What does B stand for in linear regression
23087,23087,What is the difference between B and beta
23088,23088,How are regression coefficients calculated
23089,23089,How do you determine the coefficient of determination
23090,23090,What does B mean in linear regression
23091,23091,How do you describe an exponential distribution
23092,23092,What two characteristics of a distribution are needed in order to accurately describe the distribution
23093,23093,Can decision tree handle continuous variables
23094,23094,What are the types of hypothesis in statistics
23095,23095,What is calibration of model
23096,23096,What is an alpha state
23097,23097,What are the benefits of alpha waves
23098,23098,How do you control brain waves
23099,23099,What is Gan in AI
23100,23100,What is psychometric test example
23101,23101,What is psychometrics used for
23102,23102,What is psychometric test in recruitment
23103,23103,How do you prepare for a skills test
23104,23104,What is joint distribution of random variables
23105,23105,How stratified random sampling is done
23106,23106,What is stratified sampling used for
23107,23107,When should the method of stratified random sampling be used
23108,23108,How do you calculate error in neural network
23109,23109,What is error gradient in neural network
23110,23110,What is error correction learning Mcq
23111,23111,What is error function in neural network
23112,23112,How do you prove dimensional analysis
23113,23113,What is dimensional analysis formula
23114,23114,What is dimensional equation explain with example
23115,23115,What does the Y intercept mean in linear regression
23116,23116,How do you interpret the Y intercept of a regression line
23117,23117,What does the Y intercept mean in context
23118,23118,What is the non parametric alternative to one way Anova
23119,23119,How does Anova differ from a t test
23120,23120,Does increasing sample size reduce error
23121,23121,What decreases as sample size increases
23122,23122,Does increasing sample size Reduce Type 2 error
23123,23123,Does sample size affect sampling error
23124,23124,How are Type II error and sample size related
23125,23125,How does sample size affect sampling error
23126,23126,Does sample size affect Type I error
23127,23127,How does sample size affect results
23128,23128,Why does training error increase
23129,23129,Why validation loss is smaller than training loss
23130,23130,How do you get rid of voluntary response bias
23131,23131,How do you reduce bias in statistics
23132,23132,How do you remove bias from a survey question
23133,23133,How do you stop selection bias
23134,23134,Why is the standard normal distribution so useful
23135,23135,How do you know what type of distribution to use
23136,23136,How do you know when a distribution is normal
23137,23137,What is the central limit theorem and why is it important in statistics
23138,23138,Is Jarvis an AI or VI
23139,23139,What is the difference between X1 and X1 statistics
23140,23140,What do n and k stand for in statistics
23141,23141,What is N in mean formula
23142,23142,What is N distribution
23143,23143,How do you denote a normal distribution
23144,23144,What does normality of data mean
23145,23145,What does X1 X2 mean
23146,23146,What is Xi and Yi in statistics
23147,23147,What is S 2x in statistics
23148,23148,Is Time Series A regression model
23149,23149,What is the sum of squares due to regression
23150,23150,How do you calculate the sum of squared errors
23151,23151,What is regression sum squares
23152,23152,What does regression squared mean
23153,23153,How do you find the expected value of a joint distribution
23154,23154,How do you find the joint probability function
23155,23155,Is GTX 1060 good for machine learning
23156,23156,What is the symbol for mean median and mode
23157,23157,What is the formula for calculating median
23158,23158,How do you calculate median grade
23159,23159,What is the formula of median and mode
23160,23160,What are the differences between simple and multiple regression
23161,23161,When we have many independent variables which we use to predict the dependent variable we call this process as
23162,23162,What is the difference between simple regression and multiple regression
23163,23163,Who developed the statistical technique known as regression
23164,23164,Who invented regression analysis
23165,23165,What is statistical regression also known as
23166,23166,What is regression quizlet
23167,23167,What does an object detection model do
23168,23168,What does it mean when data is biased
23169,23169,How do you reduce bias in data
23170,23170,How can we solve the high bias problem of the model
23171,23171,Does averaging reduce bias
23172,23172,Why is more data better
23173,23173,Why is it more accurate to have higher sample sizes
23174,23174,What makes reliable data
23175,23175,How do you ensure data typing accuracy
23176,23176,What is the main purpose of a one sample test
23177,23177,When can we go for z test
23178,23178,How do you know when to use Z distribution
23179,23179,When should you use a one sample z test
23180,23180,When would you use the Z test as opposed to the one sample t test
23181,23181,How do you do a one proportion z test
23182,23182,How do you do a one sample z test
23183,23183,How do you treat missing values in data
23184,23184,What can be used to input missing values
23185,23185,How do you treat missing values in statistics
23186,23186,What are the limitations of Fourier theorem explain them
23187,23187,What are the advantages of FFT over DFT
23188,23188,What is the difference between Fourier transform and Fast Fourier Transform
23189,23189,What is the formula for Fourier transform
23190,23190,What are the Fourier transform properties
23191,23191,What is duality property of Fourier transform
23192,23192,How is hit rate calculated
23193,23193,What is 1 minus p value
23194,23194,How do you find the Y intercept in an equation
23195,23195,How do you find the Y intercept when given two points
23196,23196,How do you find the Y intercept with coordinates
23197,23197,How do you find the Y intercept with two points and slope
23198,23198,How do you find the intercept in regression
23199,23199,What does a negative intercept mean in regression
23200,23200,Where is visual word form area
23201,23201,What is visual and non visual
23202,23202,What is the visual image
23203,23203,What does LDA stand for
23204,23204,What does standardizing a normal distribution do to the mean
23205,23205,How do you standardize data formula
23206,23206,How is a standard normal distribution defined
23207,23207,What is a standardized distribution
23208,23208,How do you calculate a standardized score
23209,23209,What is a distribution score
23210,23210,How do you figure out y intercept
23211,23211,How do you know if intercept is significant
23212,23212,How do you find the predicted value and residual value
23213,23213,How are residuals calculated
23214,23214,What is a predicted value in statistics
23215,23215,What does it mean for an algorithm to be greedy
23216,23216,When can we use greedy algorithm
23217,23217,Does Dijkstra's algorithm always work
23218,23218,How does Dijkstra algorithm work
23219,23219,How do you do Anova data analysis
23220,23220,How do you find the variance in Anova
23221,23221,What stands for Analysis of Variance
23222,23222,What does a one way analysis of variance do
23223,23223,How do you analyze one way Anova
23224,23224,How do you find the variance of a group
23225,23225,What is the symbol for variance in Anova
23226,23226,What does a high pass filter look like
23227,23227,How do you know the order of a filter
23228,23228,What is meant by low pass and high pass filter
23229,23229,How do high pass filters work
23230,23230,What does a low pass filter do
23231,23231,What is Eigen vector of Matrix
23232,23232,What is eigenfunction and eigenvalues
23233,23233,What do you mean by eigen value
23234,23234,How do you find the eigen value of a Eigen vector
23235,23235,How do you find eigenvalues
23236,23236,What does a fixed effects model do
23237,23237,How do you represent a word as a vector
23238,23238,How are word Embeddings trained
23239,23239,Where is regression used
23240,23240,How do you define regression
23241,23241,Should dependent variables be normally distributed in linear regression
23242,23242,How do you know if a variable is normally distributed
23243,23243,What do you do when a dependent variable is not normally distributed
23244,23244,How do you normalize data in a database
23245,23245,What is normalized and denormalized data
23246,23246,What does the skewness of a distribution measure
23247,23247,What does skew mean
23248,23248,What is the formula for calculating skewness
23249,23249,What is skewness in statistics with example
23250,23250,How do you know if data is skewed or normal
23251,23251,Is probability sampling random
23252,23252,What is another name for probability sampling
23253,23253,What makes something a random sample
23254,23254,What is the difference between random and non random sampling method
23255,23255,What is the difference between random sampling and random assignment
23256,23256,What is data splitting
23257,23257,How do you divide a test and training set
23258,23258,How do I create a decision flowchart in Word
23259,23259,What is a decision tree method
23260,23260,Is median and average the same
23261,23261,What do you mean by extrapolation
23262,23262,What is an interpolation and extrapolation
23263,23263,What does the standard error of the estimate tell us
23264,23264,What is a good standard error of the mean
23265,23265,How standard error is helpful in testing of hypothesis
23266,23266,What are the limitations of regression
23267,23267,Which of the following is a limitation of regression analysis
23268,23268,What are 3 limitations of correlation and regression
23269,23269,How many inputs and outputs does a neuron have
23270,23270,What is the input layer
23271,23271,How do I calculate the degrees of freedom
23272,23272,What is the numerator degrees of freedom Anova
23273,23273,What is the denominator df in Anova
23274,23274,What are degrees of freedom in F test
23275,23275,How is DF calculated in F test
23276,23276,Why is using a random sample important in research
23277,23277,How does random sampling improve validity
23278,23278,Why is random assignment important
23279,23279,Why are random sampling and random assignment used
23280,23280,Why are random selection and random assignment important for obtaining a representative sample and the overall validity of the research
23281,23281,What is the purpose of using random assignment in between subjects experimental designs
23282,23282,What is the goal of Random assignment
23283,23283,What effect does random assignment of subjects to experimental and control groups have
23284,23284,What are control variables in regression
23285,23285,How do you know if a variable is ordinal
23286,23286,What is minimum support and confidence in Apriori algorithm
23287,23287,What is role of support and confidence in association rule mining
23288,23288,How do you measure convergent and discriminant validity
23289,23289,What are the possible values of a binomial random variable
23290,23290,How do you identify a binomial random variable
23291,23291,What is the random variable in binomial distribution
23292,23292,How do you find the binomial equation
23293,23293,How do I find the standard deviation of the mean
23294,23294,What is the formula for the standard deviation of the sampling distribution of the mean
23295,23295,How do you find the standard deviation of two samples
23296,23296,How many samples do you need to calculate standard deviation
23297,23297,What 2 pieces of information do you need to know in order to calculate the standard error
23298,23298,What is the standard deviation between two numbers
23299,23299,How do you check for omitted variables
23300,23300,How does face recognition algorithms work
23301,23301,Which is best algorithm for face recognition
23302,23302,Is face recognition unsupervised learning
23303,23303,What is the difference between linear and non linear
23304,23304,What is linear text and examples
23305,23305,What is a linear pattern and nonlinear pattern
23306,23306,What is the difference between linear and nonlinear plot
23307,23307,What is linear and non linear control system
23308,23308,What is linear system
23309,23309,What do you mean by non linear system
23310,23310,What are risks and mitigations
23311,23311,Why should you monitor the risk Minimisation strategies that have been implemented
23312,23312,What is the purpose of risk minimization
23313,23313,Why do you need to monitor the risk environment
23314,23314,Why is it important to monitor risks and report on the process
23315,23315,What does it mean if a variable is normally distributed
23316,23316,What is normal distribution in statistics formula
23317,23317,How is the average of a normal distribution measured
23318,23318,Which machine learning algorithm is applicable for continuous data
23319,23319,How do you implement machine learning
23320,23320,What does clipping mask do procreate
23321,23321,How do I use clipping path
23322,23322,What is clipping and masking
23323,23323,What's a clipping
23324,23324,What are the consequences of heteroskedasticity for OLS estimators
23325,23325,How do you handle Heteroscedastic data
23326,23326,How do you test for heteroscedasticity in SPSS
23327,23327,Why do we use hashing
23328,23328,How does a hash function work
23329,23329,How do you choose a good hash function
23330,23330,Why do deep neural networks work
23331,23331,What are the applications of deep learning
23332,23332,Why is deep learning preferred over machine learning
23333,23333,What is the advantage of deep learning
23334,23334,What do semantic networks represent
23335,23335,How do you represent knowledge
23336,23336,How should knowledge be represented to be used for an AI technique *
23337,23337,What is the frame a way of representing knowledge
23338,23338,How reasoning is performed with frames
23339,23339,How AI technique can be represented
23340,23340,What is the role of knowledge representation in traditional AI
23341,23341,What are the important issues in knowledge representation in artificial intelligence
23342,23342,Which is the Contrapositive of P → Q
23343,23343,Which statement represents the Contrapositive of P → Q
23344,23344,Which is the converse of P → Q Brainly
23345,23345,What is the Contrapositive of A → B
23346,23346,Which of the following is the conditional P → Q
23347,23347,Which is the inverse of P → Q
23348,23348,What is the inverse of the original conditional statement
23349,23349,What does P -> Q mean
23350,23350,What kind of skew does the F distribution have
23351,23351,Is F distribution bell shaped
23352,23352,Is Poisson distribution discrete or continuous
23353,23353,What type of sampling is used in qualitative research
23354,23354,Is randomization appropriate for qualitative studies
23355,23355,What is simple random sampling in qualitative research
23356,23356,Do qualitative or quantitative researchers prefer random sampling
23357,23357,Does qualitative research require sampling
23358,23358,How do you know if a statistic is unbiased
23359,23359,What sample statistic is used to estimate a population parameter
23360,23360,How does facial recognition improve security
23361,23361,What are the problems with facial recognition
23362,23362,How do you reduce false negatives in logistic regression
23363,23363,How do you boost your confidence
23364,23364,Why do we need to boost your confidence
23365,23365,What are the effects of confidence
23366,23366,What causes over confidence
23367,23367,What does high confidence mean
23368,23368,Is stratified sampling probability sampling
23369,23369,Which is a type stratified sampling
23370,23370,What is the use of variance in real life
23371,23371,What is the use of standard deviation in real life
23372,23372,What is the significance of variance and standard deviation
23373,23373,What is the practical use of standard deviation
23374,23374,What is the significance of variance
23375,23375,What is the importance of range in measures of variation
23376,23376,What is the measure of variance that is most commonly used
23377,23377,What does the Bayesian network provide
23378,23378,What are coefficients in linear regression
23379,23379,What does it mean for a regression coefficient to be statistically significant
23380,23380,What does R2 The coefficient of determination measure
23381,23381,Does streaming use more data than downloading
23382,23382,What is the purpose of frequency analysis
23383,23383,What is the concept of frequency analysis
23384,23384,How accurate are neural networks
23385,23385,How is deep learning accuracy calculated
23386,23386,Why is linearity important in regression
23387,23387,What is linearity in data
23388,23388,How do you determine linearity
23389,23389,What does linearity mean in statistics
23390,23390,How do you explain skewness of data
23391,23391,What does right skewed data tell us
23392,23392,What are the three properties of distribution
23393,23393,What is normal distribution write its properties and importance
23394,23394,What are the properties of continuous probability distribution
23395,23395,What is meant by probability density function
23396,23396,What is AI Modelling
23397,23397,How AI models are created
23398,23398,Why CNN is used for image classification
23399,23399,What are country fixed effects
23400,23400,What does it mean to explain variation
23401,23401,What is the variance in maths
23402,23402,What is standard deviation in simple terms
23403,23403,What is the role of dimension reduction in pattern recognition
23404,23404,What is the mean of deviation
23405,23405,How do you find the mean deviation from grouped data
23406,23406,What is difference between mean deviation and standard deviation
23407,23407,What deviation means
23408,23408,Is standard deviation the same as mean
23409,23409,How is mean absolute deviation used in real life
23410,23410,Why do we use mean and standard deviation
23411,23411,What is the use of mean in statistics
23412,23412,How do you find the standard error of the mean
23413,23413,What do u mean by output
23414,23414,What are different advantages and disadvantages of decision tree algorithm
23415,23415,Which clustering algorithm is called bottom up approach
23416,23416,Is binomial a discrete probability distribution
23417,23417,Whats the difference between discrete and continuous data
23418,23418,What is a one proportion z test
23419,23419,What is a 1 sample z test
23420,23420,What is a 2 sample proportion test
23421,23421,How do you find the XOR of two numbers
23422,23422,What is XOR value
23423,23423,How is XOR used in cryptography
23424,23424,How does the XOR operator work
23425,23425,Is standard score and Z score the same
23426,23426,What is the mean value of a standard score
23427,23427,What is the formula for z score in Excel
23428,23428,What is meant by mean square error
23429,23429,What does density mean
23430,23430,How do you define density
23431,23431,What is density explain with example
23432,23432,How can density be defined
23433,23433,What does density mean in simple words
23434,23434,What is the definition of density quizlet
23435,23435,What is correlation and its types
23436,23436,What are the different types of correlation coefficients
23437,23437,What are the different methods of finding correlation
23438,23438,Which of the following defines a bivariate correlation
23439,23439,How many variables are in a set of bivariate data
23440,23440,How do you calculate bivariate data
23441,23441,Why is it advantageous to use a relative frequency histogram
23442,23442,Why would a relative frequency distribution be better than a frequency distribution
23443,23443,What is the difference between a frequency and a relative frequency
23444,23444,What does relative frequency mean
23445,23445,What is an example of relative frequency
23446,23446,What is the difference between a frequency histogram and a relative frequency histogram
23447,23447,What major advantage does a histogram have over a frequency distribution
23448,23448,What a moment means
23449,23449,What is the sentence of moment
23450,23450,How do you write a causal analysis
23451,23451,What does the F score tell you
23452,23452,What does F measure mean
23453,23453,What is a Dependant variable in statistics
23454,23454,What is the relationship between an independent and a dependent variable
23455,23455,What are the uses of weighted mean
23456,23456,How does weighted average work
23457,23457,How is weighted average different from average
23458,23458,Why is weighted average more accurate
23459,23459,How do you calculate a weighted average
23460,23460,Why would you use a weighted average
23461,23461,What is the difference between cluster and stratified sampling
23462,23462,Is cluster sampling precise
23463,23463,Which sampling combines cluster and stratified sampling methods
23464,23464,What is meant by linear operator
23465,23465,What is linear operator in linear algebra
23466,23466,Are Hermitian operators linear
23467,23467,What is weight and bias in machine learning
23468,23468,What is bias mean
23469,23469,What is the significance of sampling
23470,23470,What do you mean by sampling and its types
23471,23471,What is sampling and its advantages
23472,23472,What are the benefits of random sampling
23473,23473,What is skewness and its types
23474,23474,What is a skewed distribution in statistics
23475,23475,How is skewness calculated
23476,23476,What is a normal kurtosis value
23477,23477,How do you find kurtosis in statistics
23478,23478,What is P in confidence interval
23479,23479,What do you do when two variables are highly correlated
23480,23480,What does it mean when two variables are correlated
23481,23481,How do you deal with highly correlated features
23482,23482,Why do we remove highly correlated features
23483,23483,Should I remove correlated variables
23484,23484,What are correlated features
23485,23485,What if independent variables are correlated
23486,23486,Is a problem when the independent variables are highly correlated with each other
23487,23487,When two independent variables are correlated the condition is known as
23488,23488,How is Wilcoxon signed rank test calculated
23489,23489,What is feature in deep learning
23490,23490,What is the difference between systematic and random errors select all that apply
23491,23491,What is the difference between sampling error and systematic error
23492,23492,What is the rate of error forensic science
23493,23493,What is misclassification rate in confusion matrix
23494,23494,What is a misclassification error
23495,23495,How do you calculate misclassification error
23496,23496,Why do we vanish gradient
23497,23497,What is adj a linear algebra
23498,23498,How do you interpret factor analysis in SPSS
23499,23499,What are loadings in factor analysis
23500,23500,What is variance in factor analysis
23501,23501,What is the advantage of hashing with chaining
23502,23502,Why are hash functions important
23503,23503,What is the advantage of hashing
23504,23504,What are the advantages and disadvantages of hash tables compared to binary search trees
23505,23505,What is advantage of binary search over linear search
23506,23506,What is deviation IQ
23507,23507,What is the average deviation IQ score
23508,23508,What IQ score is 2 standard deviations below the mean
23509,23509,What percentile is a 122 IQ
23510,23510,What does a 122 IQ score mean
23511,23511,How can skewness of data be reduced
23512,23512,How do you handle skewness of data
23513,23513,What causes data to skew left
23514,23514,What is the problem with skewed data
23515,23515,What is a probability experiment in statistics
23516,23516,Is probability density function always positive
23517,23517,Can a density curve have negative values
23518,23518,How do you verify that a function is a probability density function
23519,23519,How do you know if a probability distribution is valid
23520,23520,What makes a valid density curve
23521,23521,What properties must a probability density function satisfy
23522,23522,What Makes a probability independent
23523,23523,Why do samples need to be independent
23524,23524,What is the assumption of independence in statistics
23525,23525,How do you find the false positive from a confusion matrix
23526,23526,What is meaning of false positive
23527,23527,What is DFS and BFS in AI
23528,23528,What is difference between DFS and BFS
23529,23529,Why DFS is preferred over BFS
23530,23530,How do I choose between BFS and DFS
23531,23531,What is DFS and BFS with examples
23532,23532,How can confidence intervals be used in real life
23533,23533,Where are confidence intervals used
23534,23534,What is the most common confidence interval used
23535,23535,Which of the following are disadvantages of decision tree
23536,23536,What is step function in neural network
23537,23537,What is epoch in ML
23538,23538,Why is Q learning called Q learning
23539,23539,What is Q value reinforcement learning
23540,23540,What are the characteristics of the distribution of sample means
23541,23541,What are the main characteristics of normal distribution
23542,23542,How do you find the characteristics of the normal distribution
23543,23543,What do you need to fully characterize a distribution
23544,23544,What classifies a normal distribution
23545,23545,What are the characteristics of a normal probability distribution
23546,23546,What is normal distribution and its characteristics
23547,23547,What is a normal probability distribution
23548,23548,How do you describe a normal distribution
23549,23549,What is CNN algorithm in machine learning
23550,23550,How do you tell if a random variable is discrete or continuous
23551,23551,What is not a discrete random variable
23552,23552,Can a random variable be constant
23553,23553,Can a random variable be discrete or continuous
23554,23554,Is a normal random variable continuous
23555,23555,Is time a discrete data
23556,23556,Is time a quantitative continuous variable
23557,23557,How do you define a cluster
23558,23558,How is cluster quality measured
23559,23559,What is meant by temporal data
23560,23560,What are the dimensions of data
23561,23561,What is Artificial Intelligence short answer
23562,23562,What are annotations in machine learning
23563,23563,What's the definition of annotation
23564,23564,What is annotation in artificial intelligence
23565,23565,How do you mark up a picture in Word
23566,23566,What do you mean by synchronous and asynchronous data transfer
23567,23567,What is the difference between synchronous and asynchronous data transfer
23568,23568,What is synchronous data transfer
23569,23569,What do you mean by Synchronus and Asynchronus assignment
23570,23570,What is asynchronous learning mean
23571,23571,How is the chi square independence test similar to the goodness of fit test how is it different
23572,23572,What does chi square goodness of fit test mean
23573,23573,What does goodness of fit test tell you
23574,23574,What is a chi square test of independence used for
23575,23575,Why is chi square goodness of fit test
23576,23576,What is SGD in CNN
23577,23577,What is the formula for sensitivity
23578,23578,How do you calculate sensitivity and specificity in SPSS
23579,23579,What does it mean if R squared is negative
23580,23580,How do you get a negative r squared
23581,23581,Can a coefficient of determination be negative
23582,23582,Can you have a negative R2 value
23583,23583,What does a negative R2 score mean
23584,23584,Can a intercept coefficient ever be negative
23585,23585,How do you know if a population is approximately normal
23586,23586,How do you check data for normality
23587,23587,What do classification algorithms do
23588,23588,What are the algorithms used in data science
23589,23589,What is classification data science
23590,23590,Which algorithms can be used for classification
23591,23591,What is a coefficient in statistics
23592,23592,What is data structure in C and its types
23593,23593,What is different types of data structure
23594,23594,How is positive predictive value calculated
23595,23595,How do you calculate positive and negative predictive values
23596,23596,What is the formula for negative predictive value
23597,23597,What is the difference between structured and unstructured data give examples
23598,23598,What are structured data
23599,23599,What is structured data and unstructured data
23600,23600,What are the types of non random sampling
23601,23601,What are random and non random sampling
23602,23602,What are the techniques of random sampling
23603,23603,What are the different type of sampling
23604,23604,How does neural network reduce Overfitting
23605,23605,What is considered a high covariance
23606,23606,How do you interpret correlation
23607,23607,Does covariance mean correlation
23608,23608,Will Standardised scaling will affect the values of dummy variables
23609,23609,What variables should be standardized
23610,23610,How do you read a quantile quantile plot
23611,23611,How do you interpret a QQ plot
23612,23612,What is QQ plot in linear regression
23613,23613,Why are QQ plots important
23614,23614,How do you plot a QQ plot
23615,23615,What is a QQ plot in SPSS
23616,23616,What is dynamic clustering
23617,23617,Is CNN a algorithm
23618,23618,Can CNN be used for NLP
23619,23619,Can a regression equation be negative
23620,23620,What does a negative slope mean in regression
23621,23621,How do you interpret R Squared in Regression
23622,23622,What does R2 represent in regression
23623,23623,What does non probability sampling mean
23624,23624,Which is not a probability sampling method
23625,23625,What is confusion matrix in Matlab
23626,23626,What is confusion matrix Python
23627,23627,Why is normal distribution asymptotic
23628,23628,How do you prove asymptotic normality
23629,23629,What is the asymptotic distribution of the MLE
23630,23630,What does it mean that the normal distribution has asymptotic tails
23631,23631,What is sampling and why is it necessary
23632,23632,Is NumPy required for machine learning
23633,23633,Why pandas is used in machine learning
23634,23634,What is NumPy in python used for
23635,23635,What is the use of pandas in Python
23636,23636,How is machine learning loss calculated
23637,23637,What is a random variable AP stats
23638,23638,What does bivariate data mean
23639,23639,What is the difference between proper subset and subset
23640,23640,How do you interpret an F test
23641,23641,What does T stand for in statistics
23642,23642,When can F test be used
23643,23643,Why do we use F test
23644,23644,How do t tests work
23645,23645,Why is Student t test used
23646,23646,Can random forest handle missing values
23647,23647,What is the purpose of a simulation in statistics
23648,23648,What can we learn from the Matrix
23649,23649,What is sub sampling
23650,23650,What is subsample analysis
23651,23651,Why is clustering unsupervised
23652,23652,Is K means clustering unsupervised learning
23653,23653,What is Sigma in Gaussian distribution
23654,23654,What is Mu and Sigma in normal distribution
23655,23655,How does increasing the kernel size affect the blur
23656,23656,What does a low pass filter do to an image
23657,23657,What is traditional machine learning
23658,23658,What is the difference between AI ML and DL
23659,23659,What is a core benefit of deep learning over traditional machine learning
23660,23660,Is AI similar to human intelligence
23661,23661,What is F value in Anova SPSS
23662,23662,What does an F value of 0 mean
23663,23663,What is a critical F value
23664,23664,How do you find the critical value of F
23665,23665,What is the value of F in F distribution
23666,23666,Why is F test used
23667,23667,Why is it called standard error
23668,23668,What is the sampling error of the sample mean
23669,23669,What is the standard error of the sampling distribution of the sample mean
23670,23670,What is the formula used to calculate standard error
23671,23671,How do you calculate the standard error of the mean in Excel
23672,23672,What is meant by quantisation of charge
23673,23673,What is meant by quantization of charge and conservation of charge
23674,23674,How do you know if a QQ plot is normal
23675,23675,How do you find the normality of a box plot
23676,23676,How do you interpret a Detrended normal QQ plot
23677,23677,What is QQ plot in SPSS
23678,23678,When looking at a QQ plot in SPSS output describe how you can tell if the data is approximately normally distributed or not
23679,23679,How do you interpret a PP plot in SPSS
23680,23680,Is the normal QQ plot normal probability plot approximately linear Why or why not
23681,23681,How do you know if a probability plot is normal
23682,23682,Which type of error is the same as the significance level of a hypothesis test
23683,23683,What is the relationship between the significance level and type I error
23684,23684,What affects Type 2 error
23685,23685,What does biased mean
23686,23686,What makes a population parameter unbiased
23687,23687,What makes a statistic biased
23688,23688,Which of the following statistics are unbiased estimators of population parameters
23689,23689,What is learning in pattern recognition
23690,23690,What is pattern and pattern recognition
23691,23691,What are ML models
23692,23692,How do I know what machine learning model I have
23693,23693,Who introduced the reinforcement concept in learning
23694,23694,What is the difference between logit and probit
23695,23695,What is engine efficiency formula
23696,23696,How is statistical significance different from clinical significance
23697,23697,What are the types of the optimization problem
23698,23698,What is the null and alternative hypothesis for chi square test
23699,23699,Why is a regression line important
23700,23700,What is the purpose of regression line
23701,23701,What are the uses of regression
23702,23702,Why is the regression line the best fit
23703,23703,What is a disadvantage of convenience sampling
23704,23704,How do you determine a random sample size
23705,23705,What is sample size and how it is determined
23706,23706,Why is the mean larger than the median
23707,23707,Is the mean or median greater in a normal distribution
23708,23708,What is cross validation error
23709,23709,Why is panel data better than others
23710,23710,Why we use panel data analysis
23711,23711,What is panel regression used for
23712,23712,What is a pooled data
23713,23713,Which of the following is a difference between panel and pooled cross sectional data
23714,23714,How many independent variables should you have why
23715,23715,Why is it acceptable to have multiple dependent variables
23716,23716,What are the different types of filters
23717,23717,Why LC filters are used in rectifiers
23718,23718,Which filter circuit is best
23719,23719,What's the difference between SMA and EMA
23720,23720,How do you find the 2 norm of a vector
23721,23721,How do you calculate norms
23722,23722,What is the difference between L1 and L2 regularization
23723,23723,What regularization is and why it is useful
23724,23724,What is periodic function in Fourier series
23725,23725,Why Fourier series is not used for aperiodic signals
23726,23726,What is the difference between Dtft DFT and FFT
23727,23727,Is Dtft linear
23728,23728,Why is Fourier series used
23729,23729,Which algorithm is used in CNN
23730,23730,What is classification in CNN
23731,23731,Does logistic regression Use sigmoid function
23732,23732,Which mathematical function is used in logistic regression
23733,23733,How do you find the sigmoid function
23734,23734,Where is the activation function used
23735,23735,Which probability distribution is not continuous
23736,23736,Is a normal random variable a continuous random variable
23737,23737,What is the normal random variable
23738,23738,How is probability used in decision making
23739,23739,What is Poisson distribution find the mean of Poisson distribution
23740,23740,What are the uses of Poisson distribution
23741,23741,Is BFS a greedy algorithm
23742,23742,What is the matrix used to evaluate the predictive model
23743,23743,How do you choose the best prediction model
23744,23744,Should you scale categorical variables
23745,23745,Why is the regression line called the least squares line
23746,23746,How many types of data mining are there
23747,23747,What is data mining methods
23748,23748,What is classification and its types in data mining
23749,23749,What are the steps of data mining
23750,23750,What is data mining and its features
23751,23751,What are the types of data in data mining
23752,23752,What is stationary process in time series
23753,23753,How can I improve my machine learning skills
23754,23754,What are optimization models used for
23755,23755,How can we improve performance of deep learning model
23756,23756,What is an RL agent
23757,23757,What is agent in machine learning
23758,23758,How many entities are there in knowledge representation
23759,23759,Is R2 the same as correlation coefficient
23760,23760,Is Pearson correlation r or R2
23761,23761,What is the difference between correlation and coefficient
23762,23762,What does R2 correlation mean
23763,23763,What is the difference between r2 and r2
23764,23764,What does the coefficient of determination r tell you
23765,23765,What is the coefficient of correlation and the coefficient of determination
23766,23766,What does r2 mean in correlation
23767,23767,What is the difference between R and R2
23768,23768,What is the difference between coefficient of determination and coefficient of correlation
23769,23769,What is the coefficient of alienation
23770,23770,What does coefficient of determination tell you
23771,23771,What is signal processing
23772,23772,Where is signal processing used
23773,23773,What are the types of variables
23774,23774,What is discrete and continuous variables in research
23775,23775,What is difference between discrete and continuous data
23776,23776,How do you identify type I and type II errors
23777,23777,How do you find the probability of a Type 2 error
23778,23778,How is pixel connectivity defined
23779,23779,What is adjacency in image processing
23780,23780,Is deep learning a hype
23781,23781,Which testing is best
23782,23782,Which is the popular testing approaches
23783,23783,Which technique can be used for testing process
23784,23784,How do you find the median when given the mid value and frequency
23785,23785,How do you find the median in a grouped frequency table
23786,23786,What is the formula of median class
23787,23787,What do you mean by frequency of a class interval
23788,23788,How do you find the mean median and mode in a frequency table
23789,23789,How do you find the mean in a frequency table
23790,23790,How do you find the median in a frequency table
23791,23791,What is classification and prediction in data mining ppt
23792,23792,Is a neural network regression
23793,23793,What is inverse of the normal cumulative distribution
23794,23794,What is the inverse of a CDF
23795,23795,What does inverse norm tell you
23796,23796,What is inverse cumulative probability
23797,23797,How do you find the inverse of a function
23798,23798,Can a density function be negative
23799,23799,What is Norm S Inv used for
23800,23800,What is Normsinv formula
23801,23801,How do you find the power of a statistical test
23802,23802,What is from Logits in TensorFlow
23803,23803,What does import Numpy mean
23804,23804,What is difference between from and import in Python
23805,23805,What is import and from in python
23806,23806,What is the difference between import and from import statement
23807,23807,How do you calculate probability of detection
23808,23808,What is detection process
23809,23809,What is the difference between Minimax and Alpha Beta pruning
23810,23810,How is clustering achieved when several dimensions exist
23811,23811,How do you use RNN for text classification
23812,23812,What is degree of freedom in statistics
23813,23813,What is meant by the reward pathways or the reward center of the brain
23814,23814,How can recall rates be improved
23815,23815,How can the accuracy of random forest be improved
23816,23816,How do you increase precision in classification
23817,23817,What is a recall in machine learning
23818,23818,What is unbalanced data in machine learning
23819,23819,What is the word vector
23820,23820,What is a vector example
23821,23821,What is called vector
23822,23822,What does being a vector mean
23823,23823,What is a vector in simple terms
23824,23824,What is a vector and how is it used
23825,23825,What is a vector in Python
23826,23826,When can we use chi square test
23827,23827,Is Chi square distribution continuous
23828,23828,Is Chi square distribution skewed
23829,23829,What type of statistics is chi square
23830,23830,What are the properties of chi square distribution
23831,23831,What is the difference of descriptive and inferential statistics
23832,23832,What is the most common use of inferential statistics
23833,23833,When should we reject the null hypothesis
23834,23834,How do you accept or reject hypothesis
23835,23835,Why is validation accuracy higher than training accuracy
23836,23836,Why is validation loss less than training loss
23837,23837,Which have higher training accuracy and low test accuracy called
23838,23838,Can random forest be used for unsupervised learning
23839,23839,How do you find upper limit and lower limit and margin of error
23840,23840,How do you calculate upper bound and lower bound
23841,23841,How do you calculate error bound margin
23842,23842,How do you find the upper and lower bounds of a confidence interval
23843,23843,Why does the margin of error increase when the sample size decreases
23844,23844,Does margin of error depend on sample size
23845,23845,How does decreasing decreasing the sample size affect the margin of error E
23846,23846,What happens to standard error when sample size decreases
23847,23847,How is edge detected
23848,23848,How edges are detected in an image
23849,23849,How is standard normal calculated
23850,23850,How does pixel dimensions affect image quality
23851,23851,What can trigger a false positive
23852,23852,Can you use Anova for 2 groups
23853,23853,How does Anova test between group differences
23854,23854,How do you calculate statistical significance between two groups in Excel
23855,23855,How do binomial and Poisson differ
23856,23856,What is Poisson probability distribution used for
23857,23857,What is the process of subtracting the mean of each variable from its variable called Course Hero
23858,23858,Which controls the magnitude of a step taken during gradient descent
23859,23859,How are the parameters updates during gradient descent
23860,23860,What is the process of dividing each feature by its range called
23861,23861,What is the name of the function that takes the input and maps it to the output variable called
23862,23862,How does gradient descent algorithm work
23863,23863,How do you display two categorical variables
23864,23864,What is a large t statistic
23865,23865,What is a significant t test score
23866,23866,What does a low t statistic mean
23867,23867,How do you know if at test is statistically significant
23868,23868,How do you find the F test statistic
23869,23869,How do you interpret F statistic in Anova
23870,23870,Is t test a statistical test
23871,23871,What type of statistics is t test
23872,23872,How do you do singular value decomposition in Matlab
23873,23873,What is classification Modelling
23874,23874,What does a classification model do
23875,23875,What does it mean when something is amortized
23876,23876,How do you find the margin of error given the standard deviation
23877,23877,How is the margin of error calculated
23878,23878,How do you find standard error from mean and standard deviation
23879,23879,What is the difference between XGBoost and GBM
23880,23880,What is meant by classifier in machine learning
23881,23881,What is a classifier in AI
23882,23882,How do you visualize 2 categorical variables
23883,23883,How do you visualize categorical variables
23884,23884,How do you combine categorical variables
23885,23885,What is the role of kernel in SVM
23886,23886,What is the formula for F ratio
23887,23887,What is the F ratio in regression
23888,23888,HOW IS F test calculated
23889,23889,What is F value and P value
23890,23890,What information is provided by the F test
23891,23891,What is the advantage of linear model of communication
23892,23892,What does log mean
23893,23893,What does log data do
23894,23894,What is log transformation in regression
23895,23895,Why do we take log of data
23896,23896,How do you find the Y intercept in a linear regression
23897,23897,What is the Y intercept of the regression line
23898,23898,What are events in probability
23899,23899,What types of events are there
23900,23900,How do you rank up in Wilcoxon
23901,23901,What is multimodal histogram
23902,23902,What does bimodal mean in statistics
23903,23903,What is the requirement of binary search
23904,23904,How do you establish reliability
23905,23905,How do you measure construct validity of a questionnaire
23906,23906,How do you ensure validity and reliability of a questionnaire
23907,23907,How do you ensure reliability and validity in survey research
23908,23908,Is MongoDB a columnar database
23909,23909,Is DynamoDB columnar database
23910,23910,How do you control variance
23911,23911,Why is a smaller variance better
23912,23912,What does random numbers mean
23913,23913,What is a random number for what purpose is it used
23914,23914,How random is random
23915,23915,How P value is calculated
23916,23916,Is Poisson distribution a normal distribution
23917,23917,Is Kelvin a ratio scale
23918,23918,What type of scale is Kelvin
23919,23919,Is Kelvin a metric unit
23920,23920,Why is moving average used
23921,23921,What moving averages to use
23922,23922,What are the advantages of averages
23923,23923,What are advantages of moving averages
23924,23924,What is an advantage of moving average and/or exponential smoothing
23925,23925,What is the advantage of moving average
23926,23926,What are the limitations of moving average method
23927,23927,What are some of the problems and drawbacks of the moving average forecasting model
23928,23928,How does learning rate impacts convergence
23929,23929,How do you do variance
23930,23930,Is decision tree sensitive to imbalanced dataset
23931,23931,Why did JJ Abrams leave lost
23932,23932,What is JJ Abrams doing now
23933,23933,How should you interpret a decision that fails to reject the null hypothesis
23934,23934,What is data mining explain with example
23935,23935,What is Data Mining provide an appropriate example
23936,23936,Why is data mining important
23937,23937,What is data mining and its need
23938,23938,What is logistic regression and how does it work
23939,23939,What are logistic regression models used for
23940,23940,What is predictive analysis used for
23941,23941,What is the main goal of statistics
23942,23942,What is a primary function of statistical analysis
23943,23943,What are the purposes of statistical analysis of research data
23944,23944,What do we study when we study statistics
23945,23945,Which of the following is instance based or lazy learning
23946,23946,What is a training instance
23947,23947,What is an instance in a dataset
23948,23948,What do you mean by instances
23949,23949,Which of the following is an application of Autoencoders
23950,23950,Where are Autoencoders used
23951,23951,Is PCA considered machine learning
23952,23952,What does the variance tell you
23953,23953,Why coefficient of variation is better than standard deviation
23954,23954,When should you use the coefficient of variation
23955,23955,Why would we use a coefficient of variation and why not just compare the standard deviations
23956,23956,What is the rationale for using the coefficient of variation instead of standard deviation as a measure of variability
23957,23957,What is the importance of correlation coefficient
23958,23958,What is the difference between correlation and comparison
23959,23959,What does statistical significance really mean
23960,23960,What is convolution mask
23961,23961,How do you do convolutions
23962,23962,Why do we use convolution
23963,23963,What is orange tool
23964,23964,Which function is used to create an RBF neural network
23965,23965,Which loss function is more robust to outliers
23966,23966,What are the 2 types of inductive arguments
23967,23967,What are the two kinds of arguments in Excel
23968,23968,What is the application of regression
23969,23969,How do you find the class interval from mid value in statistics
23970,23970,How do you find class frequency in statistics
23971,23971,What is a class size in statistics
23972,23972,How do you calculate class size example
23973,23973,What is T in multiple regression
23974,23974,What does the T value mean in regression
23975,23975,What is the t test used for in regression
23976,23976,What is the difference between t test and regression
23977,23977,Is systematic sampling probability or Nonprobability
23978,23978,How do you find population variance in statistics
23979,23979,What does variance mean in statistics
23980,23980,How do you find population variance and standard deviation
23981,23981,How do you calculate population variance from sample variance
23982,23982,How do you use AIC for model selection
23983,23983,What is AIC and BIC used for
23984,23984,How do you find the degrees of freedom for a two way Anova
23985,23985,Is degrees of freedom the sample size
23986,23986,How do you find the degrees of freedom for two sample sizes
23987,23987,How do you calculate Poisson approximation
23988,23988,How do you approximate a binomial with Poisson
23989,23989,What is the formula for the standard error of the normal approximation to the P distribution
23990,23990,What are the conditions for a Poisson distribution
23991,23991,What conditions do you think must be met in order for a normal distribution to be an accurate model for the binomial distribution
23992,23992,When can a binomial distribution be approximated by a normal distribution
23993,23993,What is relative entropy in information theory
23994,23994,How is KL calculated
23995,23995,How do you interpret KL divergence
23996,23996,When there is an omitted variable in the regression that is a determinant of the dependent variable then
23997,23997,How do I create an image classifier
23998,23998,What is harmonic sequence formula
23999,23999,What does λ stand for
24000,24000,How do you interpret Association statistics
24001,24001,What does batch size mean in deep learning
24002,24002,How do I choose a batch size for deep learning
24003,24003,How do you define batch size
24004,24004,How much data do I need for deep learning
24005,24005,What is the regression line of Y on X
24006,24006,How do you find the regression equation of X on Y
24007,24007,How do you predict Y from X
24008,24008,What is the regression coefficient of Y on X
24009,24009,How do you find the regression coefficient of X on Y
24010,24010,What is the value of regression coefficient
24011,24011,What is Perceptron Mcq
24012,24012,Who invented Perceptron Neural Networks Mcq
24013,24013,Is cross sectional study qualitative or quantitative
24014,24014,What is the formula of Karl Pearson coefficient of skewness
24015,24015,What is the equation for correlation coefficient r
24016,24016,What does an odds ratio of 2 mean
24017,24017,How do you explain odds ratio
24018,24018,What is considered a good odds ratio
24019,24019,How do you read Fleiss kappa
24020,24020,How does excel calculate Fleiss kappa
24021,24021,Can Excel calculate intraclass correlation
24022,24022,What is the difference between Bernoulli and binomial
24023,24023,What is the difference between a normal distribution and a binomial distribution
24024,24024,How do you identify Bernoulli distribution
24025,24025,What are the two parameters of binomial distribution
24026,24026,What is two point distribution
24027,24027,How do I extract data from twitter
24028,24028,How do you analyze Twitter data
24029,24029,How do you do a multilevel analysis in SPSS
24030,24030,What is Multilevel logistic regression analysis
24031,24031,What are tensors in Python
24032,24032,How do you create a tensor in Python
24033,24033,What are data points used for
24034,24034,How do you write data points
24035,24035,How many data points are enough
24036,24036,How does normalization affect performance
24037,24037,What are the benefits of normalization
24038,24038,Why is normalization important machine learning
24039,24039,Is Max pooling a linear operation
24040,24040,Is Max pooling differentiable
24041,24041,What does linear mean
24042,24042,What is a linear function model
24043,24043,How do you calculate linear forecast
24044,24044,What does alternate forms reliability coefficient .82 mean
24045,24045,Are binomial distributions continuous
24046,24046,Is binomial distribution dependent
24047,24047,Why is binomial distribution independent
24048,24048,What is model based RL
24049,24049,How do you sample from a distribution
24050,24050,What does it mean to sample a distribution
24051,24051,What do you mean by sample
24052,24052,Why do we sample data
24053,24053,What is a sample data
24054,24054,What happens to distribution as sample size increases
24055,24055,What happens to a T distribution as the degrees of freedom increase
24056,24056,Do you need equal sample sizes for T test
24057,24057,How does sample size affect the results of an experiment
24058,24058,How does sample size influence the T distribution
24059,24059,What kind of distribution is the t distribution
24060,24060,What statistical tool is used for univariate statistical treatment
24061,24061,How is univariate data displayed
24062,24062,How do you find the relationship between variables in multiple regression
24063,24063,How do you test the significance of a regression model
24064,24064,What is regression significance
24065,24065,How do you know if two variables are statistically significant
24066,24066,What is multivariable calculus used for
24067,24067,What is the multivariable chain rule
24068,24068,What are two variable functions
24069,24069,How do you optimize
24070,24070,What is the principle of optimality which algorithm adopts the principle of optimality explain briefly
24071,24071,What is optimality in algorithm
24072,24072,What are the two properties of random sampling
24073,24073,What is the function of random sampling
24074,24074,What does random sampling allow
24075,24075,What is the purpose of stratified random sampling
24076,24076,What are the 2 types of sampling techniques
24077,24077,What is proportional stratified random sampling
24078,24078,When should a researcher use stratified random sampling
24079,24079,When it is a directional test you should use
24080,24080,What is a 2 sided alternative hypothesis
24081,24081,Which variable is considered the dependent variable
24082,24082,What is the dependent variable called
24083,24083,Are dependent variables independent
24084,24084,How do you calculate a trend
24085,24085,Whats does trend mean
24086,24086,What is trend and example
24087,24087,What is the difference between trend and seasonality
24088,24088,What's the difference between a trend and seasonality group of answer choices
24089,24089,Is Dbscan hierarchical clustering
24090,24090,What are the data preprocessing methods
24091,24091,How do you preprocess data in data mining
24092,24092,What is data preprocessing and why is it important
24093,24093,Are events A and B independent
24094,24094,Are events A and B mutually exclusive independent or both
24095,24095,What Does It Mean If A and B are independent
24096,24096,How do you know if two events are independent or dependent
24097,24097,What is he P A or B equal to if the events A and B are mutually exclusive
24098,24098,When A and B are independent events
24099,24099,What is the difference between discrete and continuous quantitative variable data
24100,24100,When would you use range in statistics
24101,24101,What does the range mean in statistics
24102,24102,What is AI and its types
24103,24103,What is mean by artificial intelligence
24104,24104,What is artificial intelligence with diagram
24105,24105,What are the classification methods
24106,24106,What are the 2 major classifications of data
24107,24107,What are the steps of classification
24108,24108,How do you determine regression
24109,24109,Why machine learning is better than statistics
24110,24110,Is statistics useful for machine learning
24111,24111,Which is better data science or machine learning
24112,24112,What supervised data
24113,24113,What is feature extraction techniques
24114,24114,What factors increase entropy
24115,24115,What is an example of increasing entropy
24116,24116,What type of energy is entropy
24117,24117,Is entropy kinetic energy
24118,24118,How is entropy related to internal energy
24119,24119,Does high entropy mean high energy
24120,24120,How is entropy increased
24121,24121,How is entropy related to energy
24122,24122,What happens when entropy increases
24123,24123,What happens to energy and entropy during phase change
24124,24124,How do you find the mode interval
24125,24125,Which is the formula for determining mode
24126,24126,Why is logistic regression called logistic
24127,24127,What are logistic functions used for
24128,24128,Why Clustering is important in real life applications
24129,24129,What is Alpha in CAPM equation
24130,24130,What does a positive alpha mean
24131,24131,What is alpha and beta
24132,24132,How is Alpha calculated
24133,24133,What is a good alpha ratio
24134,24134,What is a good Alpha
24135,24135,What is Alpha Beta and R Squared
24136,24136,Where do we use eigen values Mcq
24137,24137,Where do we use eigenvalues *
24138,24138,What is linear data in machine learning
24139,24139,What does it mean when data is linear
24140,24140,Which of the following is a variational method
24141,24141,How does the variational energy different from the true energy of system
24142,24142,What is linear variation principle
24143,24143,What is the difference between biased and unbiased
24144,24144,What is biased and unbiased sampling
24145,24145,What is sample variance mean
24146,24146,How do you do regression with multiple dependent variables in Excel
24147,24147,How do you create a multiple regression model
24148,24148,What is a multivariate linear regression model
24149,24149,How do you find a systematic random sample
24150,24150,What is data sparsity
24151,24151,What does truncated mean in statistics
24152,24152,What is ridge regression model
24153,24153,How is artificial intelligence used in cyber security
24154,24154,How AI can be used in security sector
24155,24155,How does AI help in cyber security
24156,24156,How does machine learning help cyber security
24157,24157,How can cyber security be improved
24158,24158,What is AI in cyber security
24159,24159,How does Darktrace work
24160,24160,Which is better cyber security or artificial intelligence
24161,24161,What is filter response
24162,24162,How do you find the frequency response of a filter
24163,24163,How does a frequency filter work
24164,24164,How do you describe frequency response
24165,24165,What is low pass signal
24166,24166,What is the frequency response of a filter
24167,24167,What do you mean by a frequency response of a filter circuit
24168,24168,How is frequency response measured
24169,24169,What is filter frequency
24170,24170,Why is the XFL different
24171,24171,Why is XFL different
24172,24172,What are the different rules for the XFL
24173,24173,What's the point of the XFL
24174,24174,How do you calculate P value from T
24175,24175,Does T test give you p value
24176,24176,What is the P value associated with the t statistic
24177,24177,How do you determine the number of hidden layers
24178,24178,What is frequency in an image
24179,24179,What is frequency domain in image processing
24180,24180,What is frequency example
24181,24181,What is meant by FFT
24182,24182,What is the need of Image Transform
24183,24183,What does frequency content mean
24184,24184,What is spectral content
24185,24185,Are recommender systems supervised learning
24186,24186,Does and mean multiply in probability
24187,24187,How do you derive PDF from CDF
24188,24188,What is the relationship between PDF CDF and PDF
24189,24189,How do you derive the CDF of an exponential distribution
24190,24190,How do you define a matrix
24191,24191,What is a matrix and what is it used for
24192,24192,What is matrix answer
24193,24193,What is a basic matrix
24194,24194,What does the Matrix has you mean
24195,24195,What does it mean to be in a matrix
24196,24196,What does stuck in the matrix mean
24197,24197,What is the message in the Matrix
24198,24198,Can you measure focus
24199,24199,How do you completely focus
24200,24200,How is attention measured
24201,24201,How do you train attention and concentration
24202,24202,What is visual attention
24203,24203,What are the four elements in the attention process
24204,24204,What is the problem with groupthink
24205,24205,What is groupthink examples
24206,24206,What is an example of a groupthink
24207,24207,What is groupthink and why is it dangerous
24208,24208,What does groupthink mean
24209,24209,How do you input a matrix into Matlab
24210,24210,How do you transverse a matrix in Matlab
24211,24211,What does rank mean in linear algebra
24212,24212,How do you find the rank of a matrix
24213,24213,What is the P value in a 2 sample t test
24214,24214,What is the 2 sample t test
24215,24215,Why do we use distributions
24216,24216,What is the probability of a random event
24217,24217,What is the formula to find the probability of an event
24218,24218,What does a low adjusted R squared mean
24219,24219,Should adjusted R squared be high or low
24220,24220,What is feature selection in image processing
24221,24221,What is the feature extraction process in image processing
24222,24222,What is feature space in image processing
24223,24223,How do you create a stratified random sample in Excel
24224,24224,What is a low pass filter used for
24225,24225,What is a first order low pass filter
24226,24226,When would you use a low pass filter
24227,24227,What are blobs in image processing
24228,24228,What is blob in deep learning
24229,24229,Are any of the measures of dispersion among the range the variance and the standard deviation
24230,24230,Is standard deviation a measure of dispersion
24231,24231,What is the difference between dispersion and variance
24232,24232,What is variance in measures of dispersion
24233,24233,Is the variance the same as standard deviation
24234,24234,What is dispersion of data
24235,24235,Is variance a measure of dispersion
24236,24236,Which of the following is not a relative measure of dispersion
24237,24237,How do you find the range of variance
24238,24238,What is considered high variance
24239,24239,What is L2 penalty
24240,24240,What is L1 regression
24241,24241,What is the difference between L1 and L2 norms
24242,24242,How do you select important features in machine learning
24243,24243,What are variables in a data set
24244,24244,Which of the following methods is used for variable selection
24245,24245,Can kNN learn nonlinear boundary
24246,24246,What is the difference between continuous and discrete variable
24247,24247,What is meant by continuous variable
24248,24248,When would you use a discrete variable
24249,24249,What is the difference between discrete variables and continuous variable
24250,24250,What is the difference of discrete and continuous
24251,24251,What is multidimensional data in data mining
24252,24252,What is meant by multidimensional
24253,24253,What did you mean by homogeneous and heterogeneous data structures
24254,24254,What does homogeneous population mean
24255,24255,How can I improve my logical thinking
24256,24256,Where are IDS placed network
24257,24257,Where is an IPS commonly placed in a network *
24258,24258,What is IPS IDS in networking
24259,24259,What is a one tailed test used for
24260,24260,What is the odds ratio in logistic regression
24261,24261,How do you calculate odds ratio in SPSS
24262,24262,How do you interpret log odds in logistic regression
24263,24263,Why do we use statistics
24264,24264,What is a binary regression
24265,24265,What type of variable is dichotomous
24266,24266,What is an example of dichotomous
24267,24267,What is a binary dependent variable
24268,24268,What is required for a function to be differentiable
24269,24269,How do you know if a function is not differentiable at a point
24270,24270,What do you mean by factor analysis
24271,24271,What are factor scores in factor analysis
24272,24272,What is a factor in statistics
24273,24273,Under what general circumstances is factor analysis used
24274,24274,What are the major uses of factor analysis
24275,24275,Which is a type of factor analysis
24276,24276,What percentage is a good goal for sentiment agreement
24277,24277,What is polarity score in sentiment analysis
24278,24278,What is Data sentiment analysis
24279,24279,What happens to the mean of the sampling distribution If you decrease the sample size
24280,24280,What happens to the mean and standard deviation of the distribution of sample means as the size of the sample decreases
24281,24281,What is the benefit of using a logarithmic scale
24282,24282,What is the argument of a logarithmic function
24283,24283,What does unsupervised learning learn
24284,24284,What is rejection area
24285,24285,How do you calculate parameters of gamma distribution
24286,24286,How do you find the MLE of Bernoulli distribution
24287,24287,What type of data is used for Anova
24288,24288,Is Anova a descriptive statistics
24289,24289,Is intelligence just pattern recognition
24290,24290,What type of research is a randomized control trial
24291,24291,Is a Randomised control trial qualitative or quantitative
24292,24292,Can a Randomised control trial be qualitative
24293,24293,Is randomized controlled trial quantitative
24294,24294,What is the difference between an observational study and a randomized experiment
24295,24295,What is considered an observational study
24296,24296,What is stochastic control system
24297,24297,What is linear quadratic estimation
24298,24298,Can logistic regression be used for non linear data
24299,24299,Why Lstm can solve the gradient vanish problem
24300,24300,What is the hidden state in Lstm
24301,24301,Is H1 the null hypothesis
24302,24302,What is the difference between a null hypothesis H0 and an alternative hypothesis H1
24303,24303,How do you determine whether the hypothesis test is left tailed right tailed or two tailed
24304,24304,How do you know if it is right tailed or left tailed
24305,24305,Which of the following network has the highest accuracy on ImageNet dataset
24306,24306,How do you use a TensorFlow TensorBoard
24307,24307,What do you say when rejecting the null hypothesis
24308,24308,How do you accept or reject the null hypothesis in regression
24309,24309,How do you interpret the rejection of the null hypothesis
24310,24310,How should you interpret a decision that rejects
24311,24311,What happens when the null hypothesis is rejected
24312,24312,What happens if test results reject a hypothesis
24313,24313,When the input to an LTI system is
24314,24314,What is supervised and unsupervised learning in machine learning
24315,24315,What is the formula for discrete probability distribution
24316,24316,How do you find the mean expected value of a discrete random variable
24317,24317,How do you calculate expected value
24318,24318,What is the expected value of a probability distribution
24319,24319,What is the difference between mean and expected value
24320,24320,What is meant by unit step function
24321,24321,How do you find unit step from impulse signal
24322,24322,How do you calculate impulse
24323,24323,What is the function of impulse
24324,24324,What is the unit impulse response
24325,24325,What is the relationship between unit step and unit impulse Delta
24326,24326,How impulse function works in Matlab
24327,24327,What is impulse signal in Matlab
24328,24328,What is impulse sequence
24329,24329,What are the uses of sample method
24330,24330,Why sampling is used in research
24331,24331,How do you find the sample of a population
24332,24332,What is the formula for population size
24333,24333,Is the sample mean within the confidence interval
24334,24334,What does the confidence interval tells us about a sample mean
24335,24335,Which gives non linearity to a neural network
24336,24336,Is ReLU nonlinear
24337,24337,What is the aim of a regression analysis
24338,24338,What is a control variable in statistics
24339,24339,What is a control variable in regression
24340,24340,Why is it important to have a control in an experiment
24341,24341,Why are unbiased estimators useful
24342,24342,What is AQL sampling
24343,24343,How is AQL calculated
24344,24344,What is single sampling and double sampling
24345,24345,What is AQL in sampling plan
24346,24346,Why do many things in real life follow the normal distribution
24347,24347,Why do we care about normal distribution
24348,24348,What follows normal distribution
24349,24349,What does bagging mean
24350,24350,What is percentage of variability
24351,24351,What is percentage variation
24352,24352,What is a good variance percentage
24353,24353,How do you find percent variation
24354,24354,What is the H statistic
24355,24355,How do I report a Kruskal Wallis H test
24356,24356,How do you find the CDF of a continuous random variable
24357,24357,What is a continuous PDF
24358,24358,How many types are available in machine learning Mcq
24359,24359,How do you do discriminant analysis in SPSS
24360,24360,Why is beta distribution bimodal
24361,24361,How do you find the CDF of a beta distribution
24362,24362,What does coefficient of variation tell us
24363,24363,How do you interpret coefficient of variation
24364,24364,Why we use variance in statistics
24365,24365,How do you interpret variation in statistics
24366,24366,What is modeling and analysis
24367,24367,What is data modeling explain with example
24368,24368,What is data Modelling used for
24369,24369,How do you measure data analysis
24370,24370,What does statistics mean in Modelling
24371,24371,What does sensitivity of a test mean
24372,24372,Which best defines sensitivity of a test
24373,24373,What does it mean if the data is positively skewed
24374,24374,What is multivariate categorical data
24375,24375,Is the dependent variable the one that stays the same
24376,24376,What is another term we use for the dependent variable
24377,24377,What is the agent
24378,24378,How many types of agents are there in artificial intelligence Mcq
24379,24379,What is agent architecture in AI
24380,24380,How many topics are there in LDA
24381,24381,What are the pros and cons of random sampling
24382,24382,What are the advantages and disadvantages of purposive sampling
24383,24383,Is stratified random sampling biased
24384,24384,How does stratified sampling avoid bias
24385,24385,What is SC parallelize in spark
24386,24386,Is repartition an action in spark
24387,24387,How do you find the value of Tensor
24388,24388,How do I get a Tensorflow tensor name
24389,24389,What is TensorFlow variable
24390,24390,How do you declare a variable in TensorFlow
24391,24391,What data is usually stored in a TensorFlow variable
24392,24392,What is a tensor in keras
24393,24393,Does keras come with TensorFlow
24394,24394,How do you enter demographic data in SPSS
24395,24395,How do I compare two groups in SPSS
24396,24396,What is the purpose of data analytics
24397,24397,What is the ultimate purpose of analytics
24398,24398,Why is Multicollinearity a problem
24399,24399,How do you handle correlated features
24400,24400,What do we use correlation for
24401,24401,Can logistic regression be used for categorical variables
24402,24402,What violates the assumptions of regression analysis
24403,24403,What is B value in logistic regression
24404,24404,What is the difference between a sample statistic and a population parameter
24405,24405,What do you mean by learning in neural network
24406,24406,How do you interpret F test results
24407,24407,How do you interpret the significance F in regression
24408,24408,What does a high F value mean in regression
24409,24409,What is F change in regression
24410,24410,How would you describe a confusion matrix
24411,24411,What is linear forecast
24412,24412,Is linear regression used for prediction
24413,24413,Is sample median unbiased
24414,24414,What is the difference between RMSE and standard deviation
24415,24415,How do you find the root mean square deviation
24416,24416,What is the standard deviation of the mean and how is it different from standard deviation
24417,24417,How do you know when to use a binomial distribution
24418,24418,How prediction is different from classification in data mining
24419,24419,What programming language is used for data analytics
24420,24420,Does big data analytics involve coding
24421,24421,What is meant by extrapolation in statistics
24422,24422,How do you do interpolation and extrapolation
24423,24423,What is extrapolation method of forecasting
24424,24424,What is extrapolation error
24425,24425,Why are decision tree classifiers so popular
24426,24426,What is the advantage of decision tree
24427,24427,What are the main areas where decision tree can be applied
24428,24428,How are Poisson and binomial distribution related
24429,24429,Why the binomial distribution is a special case of the Poisson binomial distribution
24430,24430,What is the relation between binomial and Poisson distribution
24431,24431,Can the mean of a Poisson random variable be negative
24432,24432,Where is Kalman filter used
24433,24433,What is an observation matrix
24434,24434,What is a multivariable regression
24435,24435,What are the differences between bivariate regression and multiple regression
24436,24436,What is a GLS model
24437,24437,Why do we use OLS
24438,24438,What does OLS regression do
24439,24439,Is linear algebra before calculus
24440,24440,Is Linear Algebra the same as calculus
24441,24441,How do we measure accuracy of a forecasting model
24442,24442,What are three measures of accuracy in forecasting time series data
24443,24443,How do you find the accuracy of an Arima model
24444,24444,How do you measure forecast accuracy
24445,24445,What do you understand by Arima model in time series data analysis
24446,24446,What is the use of transfer learning
24447,24447,What is stimulus generalization and discrimination
24448,24448,Which is an example of stimulus generalization
24449,24449,What is the difference between stimulus generalization and stimulus discrimination
24450,24450,What is stimulus generalization example
24451,24451,What is the difference between stimulus discrimination and stimulus generalization
24452,24452,What is an example of stimulus class
24453,24453,Why is there a dropout layer
24454,24454,What is dropout ML
24455,24455,What is dropout technique
24456,24456,Which of the following is not an assumption of the binomial experiment
24457,24457,What are time series methods
24458,24458,How do I read time series data in R
24459,24459,What is the difference between population and sample
24460,24460,How do you know when to use population or sample standard deviation
24461,24461,When to use sample mean vs population mean
24462,24462,Is sample standard deviation always smaller than population standard deviation
24463,24463,Is sample mean smaller than population mean
24464,24464,What's the meaning of clusters
24465,24465,Why Clustering is used in data mining
24466,24466,Why is clustering used in machine learning
24467,24467,What regressed data
24468,24468,When can we reject the null hypothesis
24469,24469,Do we want to reject the null hypothesis
24470,24470,How do you reject a hypothesis
24471,24471,How do you reject the null hypothesis
24472,24472,Is the probability of rejecting the null hypothesis when it is true
24473,24473,How do you determine if a hypothesis is correct
24474,24474,What is the probability that we reject when in fact is true
24475,24475,What does it mean when a hypothesis is rejected
24476,24476,How does SLI improve performance
24477,24477,Does SLI improve FPS
24478,24478,Does SLI increase FPS
24479,24479,How does SLI affect performance
24480,24480,What is random method
24481,24481,What does AI mean sexually
24482,24482,What does the word AI mean
24483,24483,Is AI actually intelligent
24484,24484,How is cosine distance calculated
24485,24485,How do you find an angle between two points
24486,24486,How do you find the direction between two vectors
24487,24487,What is artificial intelligence machine learning deep
24488,24488,What does controlling for variables mean
24489,24489,Why regression analysis is considered as the forecasting technique
24490,24490,What is the role of regression analysis in demand forecasting
24491,24491,What are the main uses of regression analysis
24492,24492,Is deep learning the future of AI
24493,24493,Which of the following is an example of a discrete random variable quizlet
24494,24494,Why do we need to use bootstrapping
24495,24495,What is resampling in big data
24496,24496,How do you fit data into a model
24497,24497,What is model fit in statistics
24498,24498,What is NumPy and Matplotlib
24499,24499,Where is Matplotlib located
24500,24500,Is Matplotlib from Matlab
24501,24501,What is statistical features in image processing
24502,24502,What are the types of statistical tools
24503,24503,What is feature extraction in computer vision
24504,24504,How does feature extraction work
24505,24505,What linear algebra is used in machine learning
24506,24506,How do you do linear algebra in machine learning
24507,24507,Why does machine learning use linear algebra
24508,24508,What does delta function mean
24509,24509,What is the Fourier transform of Dirac delta function
24510,24510,Is Dirac delta function continuous
24511,24511,Why Dirac delta is not a function
24512,24512,What is the Laplace transform of a function
24513,24513,What is the Fourier transform of a delta function
24514,24514,What is Dirac delta function and its Fourier transform and its importance
24515,24515,Why isn't the Dirac delta function a function
24516,24516,Is unit impulse function even
24517,24517,What is variation in statistics
24518,24518,How do you Cluster Analysis in R
24519,24519,Which function is specifically used to plot clusters in R
24520,24520,How do you cluster in R
24521,24521,How do you plot a cluster
24522,24522,What is realtime application
24523,24523,What is the use of real time
24524,24524,What are the types of real time system
24525,24525,What are examples of real time applications
24526,24526,How many types of real time systems are there
24527,24527,What is real time operating system with example
24528,24528,Is AIC positive or negative
24529,24529,What does it mean when AIC is negative
24530,24530,What are the uses of inferential statistics
24531,24531,What are features of an image
24532,24532,How does the Fast Fourier Transform work
24533,24533,How does a Fourier transform work
24534,24534,Do partitions improve performance
24535,24535,Does Multicollinearity effects random forest
24536,24536,Does Multicollinearity affect classification
24537,24537,How does correlation not prove causation
24538,24538,What is difference between bias and variance
24539,24539,What is variability mean
24540,24540,What is bias in statistics
24541,24541,How can you improve the performance of a deep learning model
24542,24542,How do I get better at deep learning
24543,24543,What can deep learning be used for
24544,24544,How do you write a predictive algorithm
24545,24545,What is modality learning
24546,24546,What is a modality
24547,24547,What is input modality
24548,24548,What is a multimodal learning style
24549,24549,Which programming language is used in AI
24550,24550,What algorithm does facial recognition use
24551,24551,What do you mean by big data analytics
24552,24552,What is data analytics in simple words
24553,24553,Is big data and data analytics same
24554,24554,What is data analytics and big data
24555,24555,What is the difference between data and big data
24556,24556,What is Entropy in data compression
24557,24557,What is entropy of the given source
24558,24558,What is the use of statistical inference
24559,24559,What are the two branches of statistical inference
24560,24560,What are the two major methods for doing statistical inference
24561,24561,What is prior in deep learning
24562,24562,What is a prior in statistics
24563,24563,How do you analyze residuals
24564,24564,How do you read a standardized residual plot
24565,24565,Is it better to have a positive or negative residual
24566,24566,What does it mean for a residual to be negative
24567,24567,What is an example of posterior
24568,24568,How do you construct a probability distribution using a frequency distribution
24569,24569,What does the logit function do
24570,24570,How do I get started in reinforcement learning
24571,24571,Is averaging filter linear
24572,24572,Is Gaussian filter linear
24573,24573,What is the difference between independent and mutually exclusive events
24574,24574,What is a policy in machine learning
24575,24575,Why do we need a sigmoid activation function
24576,24576,Why do we use sigmoid function in logistic regression
24577,24577,Is bagging an ensemble classifier
24578,24578,How do you write up a correlation
24579,24579,How do you create a correlation matrix
24580,24580,What is the independent variable in correlation
24581,24581,What is step size in LMS algorithm
24582,24582,What is difference between batch size and epoch
24583,24583,What is an epoch in CNN
24584,24584,How do you manage large data sets
24585,24585,How do you handle big data
24586,24586,How do you analyze a lot of data
24587,24587,How do you handle large amounts of data
24588,24588,What does it mean to train a dataset
24589,24589,How do you learn inductive reasoning
24590,24590,In what instances can you practice your inductive reasoning
24591,24591,What does inductive reasoning measure
24592,24592,How do you answer inductive reasoning
24593,24593,How do I get better at reasoning tests
24594,24594,How do you study logical reasoning
24595,24595,What do logical reasoning tests show
24596,24596,How do you compare a sample to a population
24597,24597,How do you compare two distributions
24598,24598,Why is it useful to compare different distributions
24599,24599,How do you know if two averages are statistically different
24600,24600,What is dimensionality in data mining
24601,24601,What does the input () function return
24602,24602,What does input () split () do
24603,24603,What is the function of the input character
24604,24604,What are the characteristics of normal distribution
24605,24605,What qualifies as normal distribution
24606,24606,How do you know when data is normally distributed
24607,24607,Why do we create dummy variables in regression
24608,24608,Do you have to create dummy variable for categorical variables in logistic regression
24609,24609,What is energy spectral density
24610,24610,Why are neural networks better
24611,24611,Why use artificial neural networks what are its advantages
24612,24612,What are the features of neural network
24613,24613,Why is spaCy used
24614,24614,Why do we use NLTK
24615,24615,What does spaCy stand for
24616,24616,What algorithm does spaCy use
24617,24617,What is spaCy trained on
24618,24618,What is the correct description of an estimator
24619,24619,Why we use regression method of estimation
24620,24620,Is an estimate a statistic
24621,24621,What is considered a statistic
24622,24622,Is an estimator a random variable
24623,24623,How do you calculate sample size for RCT
24624,24624,How do you find the sample size on the basis of a pilot study
24625,24625,What information is needed to calculate sample size for an equivalence study
24626,24626,What is experimental error example
24627,24627,What does experimental error mean
24628,24628,What is meant by experimental error
24629,24629,What is logistic regression algorithm
24630,24630,Is logistic regression a machine learning algorithm
24631,24631,How do you do logistic regression in machine learning
24632,24632,What is regression algorithm in machine learning
24633,24633,Why is decision tree a weak learner
24634,24634,What are the types of Normalisation
24635,24635,What is normalization Why do we need to normalize our database explain various normal forms by taking proper examples
24636,24636,Can decision trees be used only for binary classification tasks
24637,24637,Is decision tree always binary
24638,24638,What is the meaning of Optimizer
24639,24639,How do you find the similarity of a matrix
24640,24640,What does similar matrix mean
24641,24641,Can a matrix be diagonalized
24642,24642,What matrices are similar to the identity matrix
24643,24643,Do similar matrices have the same Eigenspace
24644,24644,Do similar matrices have the same column space
24645,24645,Do similar matrices have the same kernel
24646,24646,What is meant by imbalanced data
24647,24647,What are the advantages of multi layer Perceptron MLP )
24648,24648,What are the demerits of MLP
24649,24649,How does attention work NLP
24650,24650,Which is better random forest or decision tree
24651,24651,What is neural network in AI
24652,24652,What does neural network mean
24653,24653,What is the difference between Q type factor analysis and cluster analysis
24654,24654,How do you find the Poisson distribution in Excel
24655,24655,What does Lambda mean in Poisson
24656,24656,What is the rate parameter λ
24657,24657,What are the two flavors of supervised learning
24658,24658,How do you calculate insulin correction factor
24659,24659,How is ICR and ISF calculated
24660,24660,How is mmol L insulin sensitivity factor calculated
24661,24661,How do you calculate correction factor
24662,24662,How do you use finite population correction factor
24663,24663,What is the correction factor in the formation of frequency distribution
24664,24664,When the value of the upper limit is not included in the class magnitude it is known as
24665,24665,What is loss in training
24666,24666,What purpose does the assessment of inter rater reliability serve quizlet
24667,24667,What does interrater reliability mean
24668,24668,How do you determine interrater reliability
24669,24669,What are the variables in a chi square test
24670,24670,What is the dependent variable in a chi square test
24671,24671,How do you test independent variables
24672,24672,What does a test for independence assess
24673,24673,How do you test for independent
24674,24674,What is multi stage sampling techniques
24675,24675,What is a cluster in a distribution
24676,24676,How do you identify a cluster
24677,24677,What is map in object detection
24678,24678,What is the meaning of discrete variables
24679,24679,What does discrete mean
24680,24680,What cross validation technique would you use on a time series dataset
24681,24681,What is the difference between training data and test data
24682,24682,What is training set and test set in a machine learning model
24683,24683,What is training data and test data in machine learning
24684,24684,Why should the data be partitioned into training and validation sets
24685,24685,What does the log of a variable mean
24686,24686,What is log used for in statistics
24687,24687,How do you interpret LN in regression
24688,24688,What is a cluster used for
24689,24689,Which is better standard error or standard deviation
24690,24690,What does the standard error of difference mean
24691,24691,What is the relationship between sampling error and the standard error of the mean
24692,24692,Is sampling error the same as standard deviation
24693,24693,What are the 2 different types of data
24694,24694,What is the types of data
24695,24695,What is quantitative vs qualitative data
24696,24696,How do you find the probability in a decision tree
24697,24697,When can you use Stokes Theorem
24698,24698,On which law divergence theorem is based on
24699,24699,When can we use divergence theorem
24700,24700,What is Gauss law used for
24701,24701,How do you verify the Gauss divergence theorem
24702,24702,What does the divergence tell you
24703,24703,What is the significance of divergence
24704,24704,Is divergence positive or negative
24705,24705,Which distributions are skewed
24706,24706,What is skewed distribution of data
24707,24707,What causes a distribution to be skewed
24708,24708,What is an agent in artificial intelligence Mcq
24709,24709,Why should I use TensorFlow
24710,24710,Should I use TensorFlow or keras
24711,24711,How do you describe the shape of a sampling distribution
24712,24712,What is a sampling distribution describe the properties of the sampling distribution of the means
24713,24713,How do you find the mean of X Bar
24714,24714,How do you find the mean of the sample x
24715,24715,What is sample mean x bar
24716,24716,How do you find the sample mean and standard deviation of X Bar
24717,24717,What is the difference between variables and parameters
24718,24718,What is the difference between parameter and constant
24719,24719,What is the purpose of parameters for a function
24720,24720,What is an unknown variable
24721,24721,Is a variable An unknown number
24722,24722,What is the known and unknown variables
24723,24723,What is the difference between function and object
24724,24724,How many propositions are there in an argument
24725,24725,What is Proposition and its types
24726,24726,What are the 2 parts of conditional sentence
24727,24727,What are the two parts of a conditional statement used in an argument
24728,24728,What is uncertainty explain Bayesian network with example
24729,24729,How the Bayesian network can be used to answer any query
24730,24730,Is logistic regression is mainly used for regression
24731,24731,What is a good response rate
24732,24732,What is response rate in statistics
24733,24733,What is the minimum acceptable survey response rate
24734,24734,What is a statistically significant survey response rate
24735,24735,What is non response rate
24736,24736,What was the rate of nonresponse for this sample
24737,24737,What is ICA used for
24738,24738,What is PCA and ICA
24739,24739,What is ICA algorithm
24740,24740,How does Independent component analysis work
24741,24741,What is splitting in decision tree
24742,24742,Is SVM unsupervised learning
24743,24743,What algorithm is used in unsupervised machine learning
24744,24744,Is Knn case based learning
24745,24745,Are fixed effects control variables
24746,24746,Is CNN part of Ann
24747,24747,How do I choose a neural network
24748,24748,How is CNN different from Ann
24749,24749,How do you find the mean of a probability distribution on a TI 84 Plus CE
24750,24750,How do you find the mean and standard deviation on a TI 84 Plus for probability distribution
24751,24751,How do you find the mean of a frequency distribution on a TI 84
24752,24752,Is 0.5 A strong correlation coefficient
24753,24753,What is mean by image processing
24754,24754,Is image processing part of AI
24755,24755,What are exploding gradients
24756,24756,What is gradient tape in TensorFlow
24757,24757,What is a gradient tape
24758,24758,How do you find the critical value of T
24759,24759,Is the T value the critical value
24760,24760,What is the significance of eigenvalues
24761,24761,What are eigenvalues and eigenvectors used for
24762,24762,Why do we use eigenvectors
24763,24763,What is the purpose of eigenvalues and eigenvectors
24764,24764,What is the relationship between binomial and Bernoulli events
24765,24765,What is the difference between the Bernoulli and binomial distributions
24766,24766,Which distribution is based on the Bernoulli process to predict sample behavior
24767,24767,What does a standard deviation of 1.4 mean
24768,24768,What leads to a smaller p value
24769,24769,What does a small p value indicate
24770,24770,What does P in P value stand for
24771,24771,What are neural networks
24772,24772,Who started deep learning
24773,24773,When did deep learning become popular
24774,24774,Who created TensorFlow
24775,24775,How long has machine learning been around
24776,24776,How did machine learning evolve
24777,24777,Who discovered deep learning
24778,24778,What is Deep learning used for
24779,24779,Where we can use deep learning
24780,24780,What's the difference between convenience sampling and quota sampling
24781,24781,Is quota sampling a convenience sample
24782,24782,Why might you use cluster analysis as an analytic strategy
24783,24783,What is posteriori knowledge
24784,24784,How do you find the maximum posteriori
24785,24785,What is HMM in machine learning
24786,24786,How the weights are updated in the delta rule
24787,24787,How does sample size affect spread
24788,24788,How do I load a dataset
24789,24789,How do you interpret standard error of regression
24790,24790,Why we include error term in regression model
24791,24791,How do you find the error term in regression
24792,24792,What is the purpose of standard deviation
24793,24793,Why is it better to use standard deviation
24794,24794,Why we use standard deviation in statistics
24795,24795,What are Hyperparameters in SVM
24796,24796,How can SVM be classified Mcq
24797,24797,How do you solve logarithms step by step
24798,24798,How do you do logarithmic equations
24799,24799,Can the value be a probability
24800,24800,How does an AI work
24801,24801,What technologies are used in AI
24802,24802,What is the technology behind artificial intelligence
24803,24803,How does artificial intelligence affect technology
24804,24804,What is the most stable measure of variability
24805,24805,How do you choose the best measure of variability
24806,24806,Why is standard deviation preferable measure of variation
24807,24807,Why is standard deviation better than variance
24808,24808,Why is standard deviation used over variance as a measure of dispersion
24809,24809,Why standard deviation is considered the best measure of variation
24810,24810,Why do we encode categorical variables
24811,24811,How do you measure random data
24812,24812,What makes a sample random
24813,24813,What does it mean for something to be random
24814,24814,What is the process of attention
24815,24815,How do you find P value from Z
24816,24816,How do you find the p value in a one proportion z test
24817,24817,How do you find the p value from a two tailed z test
24818,24818,How do you find the P value and test statistic on a TI 84
24819,24819,How do you find the p value on a Z 84
24820,24820,What is meaning of p value in statistics
24821,24821,What type of set is 0
24822,24822,Is Regression a supervised learning technique
24823,24823,Is regression supervised learning
24824,24824,Is linear regression a supervised machine learning algorithm Why
24825,24825,Why is regression machine learning
24826,24826,How do you conduct a bivariate analysis
24827,24827,How do you do a bivariate analysis in Excel
24828,24828,What is the difference between using both tails versus one tail of the sampling distribution
24829,24829,How do one tailed and two tailed tests differ
24830,24830,Which sampling method is better
24831,24831,What is the most biased sampling technique
24832,24832,Why do we use the t distribution
24833,24833,Why is t distribution flatter than normal distribution
24834,24834,Does batch size affect performance
24835,24835,What is mini batch in deep learning
24836,24836,What does mini batch mean
24837,24837,What is the difference between main effect and interaction effect in Anova
24838,24838,How do you find the main effect
24839,24839,Which statistical tools comes under bivariate analysis
24840,24840,What does bivariate data consist of
24841,24841,What type of data is chi squared used for
24842,24842,Can Boxplot be used to detect outliers
24843,24843,What techniques can be used to identify outliers
24844,24844,How do you convert standard score to Z score
24845,24845,How is Z score different from Z test
24846,24846,What is clustering and what are different methods of clustering used in data mining
24847,24847,What is machine learning and how does it work
24848,24848,What is artificial intelligence and machine learning examples
24849,24849,What are examples of machine learning
24850,24850,Where is machine learning used today
24851,24851,What is machine learning and where it is used
24852,24852,What industries use machine learning
24853,24853,What is machine learning and types
24854,24854,What is the meaning of probability sampling in statistics
24855,24855,What is nonlinear trend
24856,24856,What is linear and nonlinear
24857,24857,What is linear number
24858,24858,What is the difference between a linear and a non linear function
24859,24859,What are advantages of data processing
24860,24860,What are the advantages and disadvantages of manual data processing
24861,24861,What are some examples of data quality problems
24862,24862,What is a data issue
24863,24863,What are the issues in data management
24864,24864,What are the three main types of data error
24865,24865,What is data processing and examples
24866,24866,What's the difference between a population and a sample What is a census
24867,24867,How do you validate data
24868,24868,How many units a neural network have
24869,24869,Does the population need to be normally distributed for the sampling distribution of
24870,24870,What makes a sample normally distributed
24871,24871,Will the sampling distribution of always be approximately normally distributed explain
24872,24872,What is bias in a model
24873,24873,What is the meaning of discriminator
24874,24874,How does a discriminator work
24875,24875,How do you test for Gan
24876,24876,What is the equation for correlation
24877,24877,How do you calculate covariance and variance
24878,24878,What is residual distribution
24879,24879,What is Bernoulli trials in probability
24880,24880,What is the mean and variance of a Bernoulli binomial distribution
24881,24881,What does gradient descent actually mean
24882,24882,How do you use variable in a sentence
24883,24883,What is the synonym for variable
24884,24884,What is variable in simple words
24885,24885,What is an example of the word variable
24886,24886,What is meant by sampling distribution
24887,24887,What does the sampling distribution describe quizlet
24888,24888,What are the 2 types of sampling
24889,24889,What are sampling errors in research
24890,24890,What does Type I error mean
24891,24891,What does random random () do
24892,24892,What is random used for
24893,24893,Why is the Z score considered a standard score
24894,24894,How do you find the z score of a percentage
24895,24895,How do you find the Z score without the mean
24896,24896,How do you find the unusual z score
24897,24897,What is the easiest way to find the Z score
24898,24898,What can you use to check consistency of an estimator
24899,24899,How much correlation is too much for regression
24900,24900,What is the cutoff for Multicollinearity
24901,24901,How is Vif calculated
24902,24902,How is the ROC curve plotted
24903,24903,How is ROC curve calculated
24904,24904,How is ROC plotted
24905,24905,What is ROC curve in statistics
24906,24906,What is LGD and EAD
24907,24907,How is EAD calculated
24908,24908,What is the difference between EAD and LGD
24909,24909,What is the distribution of sample means
24910,24910,Why is the distribution of sample means normal
24911,24911,What are the assumptions of multiple regression
24912,24912,How do you perform a matrix operation
24913,24913,What are matrices used for
24914,24914,What is the difference between Poisson distribution and normal distribution
24915,24915,What do descriptive statistics tell us
24916,24916,How do you analyze descriptive statistics
24917,24917,How do I interpret descriptive statistics in SPSS
24918,24918,What descriptive statistics should be reported
24919,24919,How do you find the test statistic for a sample
24920,24920,How do you find the t test for two independent samples
24921,24921,What are the two types of hypotheses used in a hypothesis test how are they related what are the two types of hypotheses used in a hypothesis test
24922,24922,What are the two types of hypotheses
24923,24923,What is alternative and null hypothesis
24924,24924,What is hypothesis testing and its types
24925,24925,What is the difference between null hypothesis and alternative hypothesis
24926,24926,What is the relationship between null and alternative hypothesis
24927,24927,What is an OLS line
24928,24928,What does OLS regression mean
24929,24929,What is the regression line
24930,24930,What is an algorithm give an example
24931,24931,How do you start algorithms and data structures
24932,24932,What is needed to calculate variance
24933,24933,Why do you need a measure of variability
24934,24934,What is the difference between standard deviation and population standard deviation
24935,24935,When should you use population standard deviation
24936,24936,What is population variance and standard deviation
24937,24937,What is a population variance
24938,24938,What is MLE in machine learning
24939,24939,What is MLE in statistics
24940,24940,What is likelihood function in Bayesian
24941,24941,How does sleep help to develop your intelligence
24942,24942,How do you scale data
24943,24943,What is the importance of scaling in data analysis
24944,24944,What is scaling and types of scaling
24945,24945,Whats does scale mean
24946,24946,What is scaling Why is scaling performed what is the difference between normalized scaling and standardized scaling
24947,24947,Why is standard scaler used
24948,24948,What are example of trends
24949,24949,What are some possible uses of trends data
24950,24950,Under what circumstances is stratified random sampling design considered appropriate
24951,24951,Where is stratified sampling applied
24952,24952,What are the types of knowledge in AI
24953,24953,How do you represent knowledge as a symbol structure
24954,24954,What is knowledge base in NLP
24955,24955,What is regression and classification in machine learning
24956,24956,Which is linear operator
24957,24957,What is the depth of a neural network
24958,24958,Which of the following is true about model capacity where model capacity means the ability of neural network to approximate complex functions
24959,24959,How do you count hidden layers
24960,24960,What kind of relationship between the independent and dependent variables
24961,24961,What kinds of relationships can there be between two variables
24962,24962,How do I load data into redshift
24963,24963,How do I transfer data from S3 bucket to redshift
24964,24964,Is AWS redshift a database
24965,24965,What does outlier person mean
24966,24966,How do you tell if it's an outlier
24967,24967,What's the opposite of downside
24968,24968,How do you use outliers
24969,24969,Where are beta endorphins released from
24970,24970,What are degrees of freedom in regression
24971,24971,How do you calculate degrees of freedom in regression
24972,24972,How many degrees of freedom are there in multiple regression
24973,24973,How do you know how many degrees of freedom
24974,24974,How do you determine the degrees of freedom from the regression
24975,24975,What degrees of freedom do you report in a multiple regression
24976,24976,What does DF mean in regression analysis
24977,24977,How do you adjust E steps
24978,24978,How do you calibrate steps mm
24979,24979,How do you calibrate an extruder
24980,24980,How do you calibrate an extruder flow
24981,24981,What is Gru machine learning
24982,24982,What are the types of analytics within machine learning
24983,24983,What is the naive Bayes algorithm used for
24984,24984,What is NB in machine learning
24985,24985,What is Gaussian naive Bayes algorithm
24986,24986,What differs Standard naïve Bayes to binary multinomial naïve Bayes
24987,24987,Why naive Bayes is a bad estimator
24988,24988,What's so naive about naive Bayes
24989,24989,What factors can cause a false positive pregnancy test
24990,24990,How do you find the z score for a confidence interval
24991,24991,What is Z value in confidence interval
24992,24992,What are the four major types of descriptive statistics
24993,24993,What are the four descriptive statistics
24994,24994,What types of measures are used in descriptive statistics
24995,24995,Does the sample size have an effect on the standard deviation of all possible sample means
24996,24996,What happens to the standard deviation of a sampling distribution as the sample size increases
24997,24997,What is the standard deviation of at distribution
24998,24998,What is the standard deviation of the distribution of differences in sample means
24999,24999,What is Boot short for
25000,25000,Which distance can be used in Knn
25001,25001,Which of the following distance measure do we use in case of categorical variables in Knn
25002,25002,Which of the following distance metric can be used in K nn
25003,25003,Does standardization affect correlation
25004,25004,Does mean centering reduce Multicollinearity
25005,25005,What are inputs for K means algorithm
25006,25006,How do you choose K in K means
25007,25007,What is K in K means
25008,25008,What is the deviance
25009,25009,How do you calculate deviance in logistic regression
25010,25010,What is residual deviance in logistic regression
25011,25011,How do you know when something is deviant
25012,25012,What are the 4 types of deviance
25013,25013,What is deviance give an example deviance
25014,25014,Will data science be replaced by AI
25015,25015,What does the second derivative test tell you about the behavior of F at these critical numbers
25016,25016,What if second derivative is positive
25017,25017,What does the second derivative tell you about concavity
25018,25018,How does neural network AI work
25019,25019,Do you think artificial neural networks are a good model of the brain Why or why not
25020,25020,What is neural network in human brain
25021,25021,What are eigenvectors good for
25022,25022,Why do we use two regression equations
25023,25023,What are the equations used in regression analysis
25024,25024,How many types of regression equations are there
25025,25025,How many classes should frequency distributions have
25026,25026,What does the word intervals mean
25027,25027,What does interval of time mean
25028,25028,What does interval mean in exercise
25029,25029,What is difference between multiple and multivariate regression
25030,25030,How do you answer logarithms
25031,25031,What is another word for logarithm
25032,25032,What does log mean in writing
25033,25033,What is generative algorithm
25034,25034,What does Z mean in standard deviation
25035,25035,What is the z distribution in statistics
25036,25036,What is the beta coefficient in logistic regression
25037,25037,What are fitted values in logistic regression
25038,25038,How many parameters does a regression model have
25039,25039,How do you find the regression parameter
25040,25040,How do you measure the performance of a regression model
25041,25041,What are the parameters of linear regression
25042,25042,Which measure of central tendency and measure of dispersion are appropriate for the data
25043,25043,How do you know which measure of central tendency is appropriate
25044,25044,Which statistical measures of central tendency is the most stable
25045,25045,How do I run a TensorFlow program
25046,25046,What is serving in machine learning
25047,25047,What is the use of probability distribution in data analysis
25048,25048,Why do we need probability in statistics
25049,25049,What are the uses of probability
25050,25050,What is the use of probability in real life
25051,25051,What is probability and why is it important
25052,25052,What are the assumptions of Z test
25053,25053,What conditions are necessary in order to use the Z test
25054,25054,What conditions must be met for the Z test to be used to test a hypothesis concerning a population mean μ
25055,25055,Are the assumptions and the conditions to perform a one proportion z test met
25056,25056,When can the Z test be used in statistical hypothesis testing
25057,25057,What are the conditions for a 2 proportion z test
25058,25058,What are the conditions in which we apply Z test
25059,25059,How do you do a two sample z test
25060,25060,What conditions and assumptions are necessary for the sampling model of p1 p2 to be approximately normal
25061,25061,How is hypothesis testing used to test claims about a population proportion
25062,25062,What is statistics and uses of statistics
25063,25063,What do coefficients mean in linear regression
25064,25064,What does a coefficient represent
25065,25065,What does coefficient of determination tell us
25066,25066,How do you interpret multiple R values
25067,25067,What do r2 values tell us
25068,25068,How do I calculate the variance of the mean
25069,25069,What is variance of the mean
25070,25070,How do you calculate average variance extracted manually
25071,25071,How do you calculate average variance in Excel
25072,25072,How do you calculate average variance extracted in SPSS
25073,25073,How do you calculate average variance extracted in Amos
25074,25074,What is the variance of sample mean
25075,25075,What is the variance of mean
25076,25076,What is the difference between unimodal and bimodal
25077,25077,How do you know if data is bimodal
25078,25078,How do you calculate bimodal mode
25079,25079,What does the term stochastic mean
25080,25080,What is a stochastic approach
25081,25081,Why do we use divergence theorem
25082,25082,What does the divergence theorem mean
25083,25083,How do you use the divergence theorem
25084,25084,What is Ghost divergence theorem
25085,25085,How do you classify models
25086,25086,What is the difference between correlation and covariation
25087,25087,How do you read a gradient descent
25088,25088,What is the difference between gradient descent and steepest descent
25089,25089,How do you predict accuracy in linear regression
25090,25090,How do you know if a question is biased or unbiased
25091,25091,How is a sample classified as biased
25092,25092,What is the role of statistics in research
25093,25093,What are uses of statistics
25094,25094,What are the statistical tools used in research
25095,25095,What are the statistical techniques used to treat research data
25096,25096,What is fixed effect and random effect model
25097,25097,What is Heteroscedastic data
25098,25098,How can you tell if data is Heteroscedastic
25099,25099,What is reliability and confidence level
25100,25100,What is a confidence interval and why is it used
25101,25101,What does confidence interval tell you
25102,25102,Which AI is used to describe extracting information from unstructured text using algorithms
25103,25103,How can you improve the accuracy of an experiment
25104,25104,How can accuracy and precision be improved in an experiment
25105,25105,How do you ensure accuracy while working
25106,25106,Is it appropriate to use a regression line to predict y values for x values
25107,25107,How do you predict y values using the equation of a regression line
25108,25108,Is the from the regression of Y on X exactly the same as the from the regression of X on Y
25109,25109,Would you use the regression line to predict Y from X
25110,25110,Is a regression line the same as a line of best fit
25111,25111,What affects the correlation coefficient
25112,25112,What changes correlation
25113,25113,How do you increase correlation
25114,25114,Why is it important to Normalise data
25115,25115,What does it mean to normalize a data set
25116,25116,What happens at a neural synapse
25117,25117,What is a synapse
25118,25118,What is Synapse explain
25119,25119,Which distribution is positively skewed
25120,25120,Is Poisson distribution positively skewed
25121,25121,Is skewed to the right positively skewed
25122,25122,How do you reject a null hypothesis
25123,25123,How do you reject or accept null hypothesis in t test
25124,25124,Can you accept the null hypothesis
25125,25125,What does it mean if you fail to reject the null hypothesis
25126,25126,What is a good Z value
25127,25127,What does a high z value mean
25128,25128,Is logistic regression classification or regression
25129,25129,What are the types of outliers
25130,25130,What are outliers
25131,25131,What classifies an outlier
25132,25132,What are outliers in machine learning
25133,25133,What is the purpose of a gradient
25134,25134,Why do we need gradient descent
25135,25135,Where is gradient used in real life
25136,25136,How do you take a gradient
25137,25137,How do you calculate Covariance from correlation
25138,25138,How do you calculate variance and correlation
25139,25139,What is covariance formula in statistics
25140,25140,What is the key difference between supervised and unsupervised learning
25141,25141,Is Overfitting a problem in clustering
25142,25142,How do you find the frequency in probability
25143,25143,Is frequency the same as probability
25144,25144,What does relative frequency mean in probability
25145,25145,What is CNN RNN
25146,25146,How do I get better at naive Bayes
25147,25147,How does Gaussian naive Bayes work
25148,25148,Are PDF and PMF the same
25149,25149,What is your definition of intelligence
25150,25150,What are the 4 theories of intelligence
25151,25151,What is an example of intelligence
25152,25152,How do you calculate the power of a hypothesis test
25153,25153,What is measured by the test statistic
25154,25154,What affects the power of a hypothesis test
25155,25155,What is backward indexing
25156,25156,Which of the following is a type of statistical hypothesis
25157,25157,How do you test statistical hypothesis
25158,25158,What is next after deep learning
25159,25159,What is deep learning specialization
25160,25160,Which of the following is limitations of deep learning
25161,25161,What is meant by discrete value
25162,25162,How do you calculate the mean of a discrete random variable
25163,25163,What is the mean of this discrete random variable
25164,25164,How do you find the mean and standard deviation of a discrete random variable
25165,25165,What is classification in artificial intelligence
25166,25166,How do you find chebyshev interval
25167,25167,How do you use Chebyshev's theorem in statistics
25168,25168,Which learning method is used for image classification
25169,25169,What are the algorithm used in image processing
25170,25170,How do you know if you are a thinker
25171,25171,What is the purpose of Z scores
25172,25172,What does the Z value mean in statistics
25173,25173,What is Z equal to
25174,25174,What are the types of distribution
25175,25175,What are types of distribution in statistics
25176,25176,What type of distribution is at distribution
25177,25177,What is Bayes theorem in AI
25178,25178,What is correlation explain
25179,25179,What is correlation and its uses
25180,25180,What is the meaning of correlation and regression
25181,25181,How do you know if two way table events are independent
25182,25182,What is SVD in machine learning
25183,25183,How is SVD calculated
25184,25184,What is difference between PCA and SVD
25185,25185,What makes the standard deviation larger or smaller
25186,25186,What causes a large standard deviation
25187,25187,What happens to standard deviation when sample size increases
25188,25188,Does population size affect standard deviation
25189,25189,What is the effect when the sample size is increased
25190,25190,How do you find the accuracy of a decision tree
25191,25191,Is decision tree unsupervised learning
25192,25192,Is logistic regression a predictive model
25193,25193,How does a logistic regression model work
25194,25194,What is logistic regression model used for
25195,25195,What is the goal of logistic regression
25196,25196,What is logistics in simple words
25197,25197,Why do we normalize data in machine learning
25198,25198,What is the meaning of data normalization
25199,25199,What is the normalizing
25200,25200,What is normalization and why it is needed
25201,25201,What is the difference between normalization and standardization
25202,25202,On what basis we choose data scaling method normalization standardization
25203,25203,Why do we need normalization in machine learning
25204,25204,What does it mean filter
25205,25205,Why median filter is used
25206,25206,Is median filter low pass
25207,25207,Which filter is best for Gaussian noise
25208,25208,What is the difference between multiple linear regression and logistic regression
25209,25209,How do you find the correlation coefficient of a data set
25210,25210,How do you find the relationship between two sets of data
25211,25211,How do you find correlation coefficient from R 2
25212,25212,How do you find the coefficient of data
25213,25213,How do you correlate two sets of data in Excel
25214,25214,Which function in Excel gives the correlation between two sets of numeric values
25215,25215,How do you find multiple correlation in Excel
25216,25216,What does positive autocorrelation mean
25217,25217,What is a neural network characterized
25218,25218,What are the advantages characteristics of neural network
25219,25219,What is weight initialization neural network
25220,25220,How do you approximate a binomial using normal
25221,25221,How do you find the approximate distribution
25222,25222,What is the approximation method in statistics
25223,25223,What does E in P value mean
25224,25224,How do you interpret e
25225,25225,What does E mean in linear equation
25226,25226,Is a dummy variable An independent variable
25227,25227,Is dummy a bad word
25228,25228,What is dummy do
25229,25229,How would the correlation change if we normalize the data first
25230,25230,Does normalization affect correlation
25231,25231,What is the use of Gaussian distribution
25232,25232,Where does Gaussian distribution come from
25233,25233,Is Gaussian normal
25234,25234,How can sampling errors be prevented in research
25235,25235,What is feature map CNN
25236,25236,Why CNN is considered as deep learning
25237,25237,What does the AIC value mean
25238,25238,How do I choose an AIC model
25239,25239,Where is normal distribution used
25240,25240,What does a normal distribution tell you about the sample
25241,25241,What is the difference between cross sectional and time series
25242,25242,What is a cross sectional data analysis
25243,25243,What is mutual information feature selection
25244,25244,What is the unit of average mutual information
25245,25245,What are log transformed variables
25246,25246,What is a log transformation
25247,25247,What is log transformation in image processing
25248,25248,What is the purpose of IQ
25249,25249,Where did IQ come from
25250,25250,How can we check the linear regression assumption of normality
25251,25251,How do you find the normality assumption
25252,25252,Is Mean Value same as average
25253,25253,Why is the average called the mean
25254,25254,Is the mean the average
25255,25255,Why is average called mean
25256,25256,What is a data feature
25257,25257,What is feature engineering in R
25258,25258,What does .05 mean in statistics
25259,25259,Is 0.05 considered statistically significant
25260,25260,What does a probability of 0.05 mean
25261,25261,How do you write a matrix function
25262,25262,What makes a matrix not defined
25263,25263,What do you understand by Matrix explain its function
25264,25264,What is a trace of a matrix
25265,25265,Why is trace sum of eigenvalues
25266,25266,How do you prepare data
25267,25267,How do you prepare data for data analysis
25268,25268,How do you determine if a test is statistically significant
25269,25269,Is error a variance
25270,25270,What does mean squared error tell us
25271,25271,What are uninformed search strategies
25272,25272,What is the typical value of vigilance parameter in ART1 network
25273,25273,What consists of competitive learning neural network
25274,25274,Is observation qualitative research
25275,25275,Is text analytics and NLP AI
25276,25276,Is LDA sensitive to outliers
25277,25277,How does Matlab calculate fractal dimension
25278,25278,What is fractal dimension used for
25279,25279,What is the fractal dimension of the Koch curve
25280,25280,What is fractal and example
25281,25281,Where can you find fractals in everyday life
25282,25282,What is an example of a fractal
25283,25283,How do you find the accuracy of a regression model
25284,25284,How can logistic regression improve accuracy
25285,25285,How do you interpret a logistic regression model
25286,25286,What method is used to fit a logistic regression model
25287,25287,How do you find the critical value for a left tailed z test
25288,25288,What is first and second moment of area
25289,25289,Which of the following is a disadvantage of K fold cross validation method
25290,25290,Which of the following is used for K means clustering
25291,25291,Why is clustering considered an unsupervised algorithm
25292,25292,Why we use K means clustering
25293,25293,What makes a distribution uniform
25294,25294,Why does clumped distribution happen
25295,25295,How do you prove linear independence of functions
25296,25296,How do you check if a set of matrices are linearly independent
25297,25297,How do you know if vectors are linearly independent or dependent
25298,25298,How do you know if a vector is linearly dependent
25299,25299,How do you know if a vector is linearly independent in Matlab
25300,25300,Where can random sampling be used
25301,25301,Why we use stratified random sampling
25302,25302,What is an effective use of stratified sampling
25303,25303,Under what circumstances stratified random sampling is considered appropriate
25304,25304,How do you calculate state space representation from transfer function
25305,25305,What is the difference between state space and transfer function
25306,25306,How does Matlab calculate transfer function
25307,25307,How can we represent knowledge
25308,25308,What is the way of representing the knowledge in logic and reasoning
25309,25309,Which of the following is a knowledge representation technique
25310,25310,What is unbiased sample in math
25311,25311,Why are residuals important when performing a regression analysis
25312,25312,What is a residual in multiple regression
25313,25313,How do you find the residual in a regression analysis
25314,25314,What do you mean by residual analysis
25315,25315,Can the bagging technique be applied to regression problems
25316,25316,Can boosting be used for regression
25317,25317,When should I use boost
25318,25318,Do you think that the bagging procedure can be useful to improve the performance of linear regression Yes No insufficient information to answer the question
25319,25319,What is the time complexity of the K Means algorithm
25320,25320,How does the value of k affect the computational complexity of the K Means algorithm
25321,25321,How do you find the value of K in K means clustering
25322,25322,What is K in Kmeans
25323,25323,What is hierarchical regression
25324,25324,How do you find outliers in a time series
25325,25325,What is the meaning of anomalies
25326,25326,How do you prepare data for sentiment analysis
25327,25327,How the data is analyzed using sentiment analysis
25328,25328,How do you do sentiment analysis in machine learning
25329,25329,How do you determine the goodness of a regression model
25330,25330,How do you determine the regression line
25331,25331,What is the probability distribution of the sample mean called
25332,25332,What is the probability distribution of a sample statistic
25333,25333,What are the two conditions that determine a probability distribution
25334,25334,What 2 conditions determine a probability distribution
25335,25335,What is a discrete probability distribution What are two conditions that determine a probability distribution
25336,25336,What are the requirements for a binomial probability distribution
25337,25337,What determines a binomial distribution
25338,25338,What is required for a binomial experiment
25339,25339,What is feature selection in machine learning
25340,25340,What are the two characteristics of a normal distribution curve
25341,25341,What makes a normal distribution a standard normal distribution
25342,25342,What is the work of POS tagging
25343,25343,What is the total area under probability distribution curve
25344,25344,What is the sum under a normal distribution curve
25345,25345,What is the total area under the normal distribution curve quizlet
25346,25346,How do you know if data is normally distributed with mean and standard deviation
25347,25347,Can neural networks count
25348,25348,What is bias term in machine learning
25349,25349,What is bias term in neural network
25350,25350,What does relative frequency mean in math
25351,25351,What is the effect of increasing the regularization parameter
25352,25352,What is regularization technique
25353,25353,What is the difference between regularization and normalization
25354,25354,What is the difference between normalized scaling and standardized scaling
25355,25355,Is NLP a technology
25356,25356,What is the formula to find the discriminant
25357,25357,How do you simplify the discriminant
25358,25358,How do you know if a frequency distribution is normal
25359,25359,How do you calculate missing data
25360,25360,How do you handle missing data in ML
25361,25361,What is the problem with missing data
25362,25362,How much variance should be explained in PCA
25363,25363,What is explained variance
25364,25364,Why does PCA maximize variance
25365,25365,What are the uses of mode
25366,25366,Why is it useful to find the mean median and mode
25367,25367,What is observer bias in research
25368,25368,What are two sources of bias during an observation period
25369,25369,What kind of efficiency can be evaluated during testing
25370,25370,Which testing helps in evaluating the efficiency of system
25371,25371,How do you determine whether you have carried out a test effectively
25372,25372,What is a good test coverage percentage
25373,25373,What is a non response error
25374,25374,What is the difference between linear extrapolation and linear interpolation
25375,25375,Why is extrapolation bad
25376,25376,Why is extrapolation less reliable than interpolation
25377,25377,What is extrapolation and why is this dangerous
25378,25378,What happens on extrapolation
25379,25379,How do you interpret F statistic in regression
25380,25380,Can an F score be negative
25381,25381,How do you find probability permutation
25382,25382,How do you do permutations
25383,25383,What are combinations in probability
25384,25384,How do you find the marginal frequency distribution
25385,25385,What is the marginal frequency
25386,25386,What is marginal distribution in stats
25387,25387,How do you calculate joint frequency
25388,25388,How do you find the marginal frequency
25389,25389,What is the joint frequency
25390,25390,What is CNN activation function
25391,25391,Why we use geometric mean instead of arithmetic mean
25392,25392,What do you know about jump processes
25393,25393,Why do we use dense layer in CNN
25394,25394,What is dense function
25395,25395,What is the definition of CNN
25396,25396,How is probability used in the real world
25397,25397,What is probability and its uses
25398,25398,How many bootstrap samples are needed
25399,25399,What is meant by data bootstrapping
25400,25400,How do you read hazard rates
25401,25401,What is a hazard plot
25402,25402,What is the difference between sample and population
25403,25403,What is the difference between population and sample variance
25404,25404,What are the types of randomization
25405,25405,What type of study is a randomized control trial
25406,25406,How do you evaluate covariance
25407,25407,How many solutions does the discriminant have
25408,25408,What is the discriminant of the function
25409,25409,What is the discriminant of 76
25410,25410,What is the formula in getting the discriminant
25411,25411,How are vectors used in real life
25412,25412,What is the magnitude of
25413,25413,How do you find the variance if you have the standard deviation
25414,25414,How do you find the variance when given the mean
25415,25415,How do you find the range variance and standard deviation
25416,25416,How are the mean and variance calculated
25417,25417,Is NLP part of deep learning
25418,25418,Is Factor analysis qualitative
25419,25419,What is meant by network coverage
25420,25420,What does coverage mean
25421,25421,What is a typical interval
25422,25422,How do you tell the difference between t interval and z interval
25423,25423,How do you know what distribution to use
25424,25424,How do you determine if you have a normal distribution
25425,25425,Is LDA a neural network
25426,25426,What is the purpose of goodness of fit test
25427,25427,How does classification work in data mining
25428,25428,What is acceptance sampling in production and operation management
25429,25429,What are the different types of sampling plans
25430,25430,What is the difference between AQL and LTPD
25431,25431,What is meant by sampling inspection
25432,25432,What are the types of inspection
25433,25433,What are the advantages of sampling inspection
25434,25434,What is the purpose of using randomisation
25435,25435,Why is randomization important in a study with an experimental design quizlet
25436,25436,What is a hierarchical task analysis
25437,25437,What are different task analysis methods
25438,25438,What is an example of task analysis
25439,25439,What is a reason to perform a task analysis
25440,25440,What are the possible benefits in applying the hierarchical task analysis
25441,25441,How do you test statistical significance between two groups
25442,25442,How do you determine if difference is statistically significant
25443,25443,What does relative frequency indicate
25444,25444,What does a frequency distribution tell you
25445,25445,How do you read a frequency distribution table
25446,25446,Where can I learn deep learning
25447,25447,Can I learn machine learning without data science
25448,25448,How do you find the probability in statistics
25449,25449,What is the probability of a single event
25450,25450,What is the probability of an event
25451,25451,How do you get weights in Tensorflow
25452,25452,How do you save model weights in Tensorflow
25453,25453,How do you open a TensorBoard
25454,25454,How do you prove Markov chains
25455,25455,What is a steady state probability
25456,25456,What does steady state vector mean
25457,25457,How is machine learning used in face recognition
25458,25458,Is facial recognition supervised learning
25459,25459,Is facial recognition deep learning
25460,25460,What type of learning is face recognition supervised or unsupervised
25461,25461,Is facial recognition unsupervised learning
25462,25462,What is narrow AI and general AI
25463,25463,What language is used in deep learning
25464,25464,Which tool can be used to solve deep learning problems
25465,25465,What is deep learning toolbox
25466,25466,Which application you should solve by deep learning for best performance
25467,25467,Which are common applications of deep learning in AI
25468,25468,How do you find the mean and standard deviation of a probability distribution in Excel
25469,25469,What is the mean of a normal curve
25470,25470,What is normal probability curve and its characteristics
25471,25471,What does the Wald statistic represent
25472,25472,What does Wald chi2 mean
25473,25473,What is Wald statistic in logistic regression
25474,25474,What is F value
25475,25475,How do you find F value in regression
25476,25476,What is the F statistic in regression
25477,25477,Can you find the derivative on a TI 84 Plus
25478,25478,How do you get symbols on a TI 84
25479,25479,What are the two key properties of a discrete probability distribution
25480,25480,What are the two requirements for a discrete probability distribution select all that apply
25481,25481,What are the two requirements for the probability distributions of discrete random variables
25482,25482,What are the requirements for a discrete probability distribution
25483,25483,What are the two requirements for a discrete probability
25484,25484,What are the properties of discrete probability distribution
25485,25485,What are the characteristics of discrete probability distribution
25486,25486,What is single layer
25487,25487,What is multi layer neural network
25488,25488,What is a mixed method research
25489,25489,What is an example of mixed method research
25490,25490,Which type of problem can be solved by reinforcement learning
25491,25491,Which feedback is used by reinforcement learning
25492,25492,What is SD line
25493,25493,When all the points fall on the regression line
25494,25494,How do you find the line of best fit on a linear regression
25495,25495,What point is always on the regression line
25496,25496,How do you find the regression equation of a data point
25497,25497,Which of the following is true about sampling error
25498,25498,Can we estimate sampling error
25499,25499,How do you find the standard error of the sampling distribution
25500,25500,What is predictive decision making
25501,25501,How do data analytics support decision making
25502,25502,What are the applications of predictive analytics
25503,25503,What is the goal of prescriptive analytics
25504,25504,What type of data analytics is for decision support and decision automation
25505,25505,Which type of audit analytics might be used to recommend action based on previously observed actions
25506,25506,Why do we need clustering if we have classification in machine learning
25507,25507,How is clustering used
25508,25508,What is cluster classification
25509,25509,What is the difference between clustering and association algorithms
25510,25510,How do you find the quartiles of a data set
25511,25511,How do you find quartiles and interquartile ranges
25512,25512,What are Q1 and Q3 of the standard normal distribution
25513,25513,What does the Iqr tell you
25514,25514,What is centering a variable
25515,25515,Why is it a good idea to Centre your variables when conducting a moderation analysis
25516,25516,How can we solve the problem of multicollinearity
25517,25517,Which statistics can help us detect Multicollinearity
25518,25518,What is an IOA in ABA
25519,25519,How is IOA calculated
25520,25520,What is inter observer reliability in research
25521,25521,How do you ensure inter observer reliability
25522,25522,What is intra observer reliability
25523,25523,What is interobserver error
25524,25524,What is F critical value in Anova
25525,25525,What is the critical value for F test in SPSS
25526,25526,What are the two types of constraints
25527,25527,How can constraints be used to help define the problem
25528,25528,What does mean squared error tell you
25529,25529,What is squared error function
25530,25530,Why is the cost function squared
25531,25531,What is sequencing learning
25532,25532,Why is it important to develop an accurate sequence of events explain in your own words
25533,25533,What is sequence in NLP
25534,25534,What does scalar mean
25535,25535,What is an example of a scalar value
25536,25536,What is a vector and a scalar
25537,25537,How do you know if a vector is a scalar multiple
25538,25538,What happens if you multiply a vector by a scalar
25539,25539,Is scalar multiplied by a vector a vector or a scalar
25540,25540,Is scalar product a vector
25541,25541,What is a log log regression model
25542,25542,Why do we use log log graphs
25543,25543,How do log plots work
25544,25544,How do you interpret log regression coefficients
25545,25545,Which is better SVM or random forest
25546,25546,Is Iqr a measure of center or spread
25547,25547,How do you measure selection bias
25548,25548,What is canonical variate
25549,25549,When would you use a correlation matrix
25550,25550,What is the difference between correlation and regression
25551,25551,Is multiple regression a correlational design
25552,25552,Is multiple r The correlation coefficient
25553,25553,What is the relationship between correlation and regression analysis
25554,25554,What is an example of stereotyping
25555,25555,Why is implicit bias training important
25556,25556,What does unconscious bias training involve
25557,25557,How does the IAT work
25558,25558,What sample size is needed for at test
25559,25559,What is the minimum sample size
25560,25560,What is the minimum sample size for normal distribution
25561,25561,Can Knn be used to solve classification problems
25562,25562,Is K in Knn a parameter
25563,25563,How does conjoint analysis work
25564,25564,Why do we use conjoint analysis
25565,25565,Is Markov chain stationary
25566,25566,What does it mean to adjust for a variable
25567,25567,Why do we use control variables
25568,25568,What is an interaction variable in regression
25569,25569,What is a statistical interaction example
25570,25570,How do you explain interaction effect
25571,25571,What is an example of interaction
25572,25572,What is definition of interaction
25573,25573,What is another word for interaction
25574,25574,Why does CNN use Softmax
25575,25575,What is an example of visual perception
25576,25576,How does visual processing occur
25577,25577,What are the two types of perception
25578,25578,What are the two perception functions
25579,25579,What is perception approach
25580,25580,What are the various processing approaches in perception
25581,25581,What is the use of Delta
25582,25582,What does delta mean in statistics
25583,25583,What is the delta formula in Excel
25584,25584,What is Delta in statistics
25585,25585,What is a delta value
25586,25586,Which of the following is an order statistics
25587,25587,How do you find negative matrices
25588,25588,How do you know if a matrix is negative definite
25589,25589,What is a matrix to the power of negative 1
25590,25590,How do you optimize a logistic regression model
25591,25591,How do you make a good regression model
25592,25592,What is a normal variance
25593,25593,What is the variance of a normal distribution with a mean of 0 and a standard deviation of 1
25594,25594,What is variance standard deviation
25595,25595,What is the variance in normal distribution
25596,25596,What is a normal standard deviation
25597,25597,What is the mean and variance for standard normal distribution *
25598,25598,What is the variance of the mean
25599,25599,What is the standard deviation of the distribution of sample means
25600,25600,What is the variance of the probability distribution
25601,25601,What is the variance of the distribution
25602,25602,How do you find the variance of an item
25603,25603,Is standard deviation a point estimate
25604,25604,What type of data is standard deviation
25605,25605,Is standard error an estimate
25606,25606,What does the standard deviation show us
25607,25607,What does standard deviation represent
25608,25608,What does factorial represent
25609,25609,What is ML performance
25610,25610,Why is a random sample unbiased
25611,25611,What makes a sampling method unbiased
25612,25612,Can systematic sampling be biased
25613,25613,In what ways can sampling be biased
25614,25614,What is a disadvantage of systematic sampling
25615,25615,What are the disadvantages of systematic sample selection
25616,25616,What is systematic sampling error
25617,25617,What are the tools and techniques strategic choice
25618,25618,What are the tools used to conduct the analysis
25619,25619,What does the simple moving average represent
25620,25620,How do you find moving average trends
25621,25621,How do you calculate the slope of a moving average
25622,25622,What is a moving average trend line
25623,25623,What causes Multicollinearity
25624,25624,What is Multicollinearity and how can it affect multiple regression analysis
25625,25625,Does Multicollinearity effects logistic regression
25626,25626,How can VIF detect Multicollinearity
25627,25627,What is stratified sampling method
25628,25628,When stratified sampling is used
25629,25629,What is reliable in statistics
25630,25630,How do you determine reliability of data
25631,25631,How do you determine the reliability of a sample
25632,25632,What is reliability and How Is It Measured
25633,25633,What is being measured in reliability test
25634,25634,What is reliability test in statistics
25635,25635,What statistic can we use to determine reliability of a measure
25636,25636,What is alpha and beta in LDA
25637,25637,What is LDA model
25638,25638,Why vectors are used in machine learning
25639,25639,What are the tools for data mining
25640,25640,What technologies are used in data mining
25641,25641,What are the data mining tools and techniques
25642,25642,Which of the following is data mining tool
25643,25643,Which data type is used to teach a machine learning ML algorithms
25644,25644,How does K mode work
25645,25645,How do you find the sample covariance matrix in R
25646,25646,Why covariance matrix is used
25647,25647,How do you derive covariance
25648,25648,How do you find covariance given mean and standard deviation
25649,25649,How does NumPy calculate covariance
25650,25650,How do you find the covariance matrix in python
25651,25651,What is covariance in NumPy
25652,25652,How do you prove something is disjoint
25653,25653,Are the sets A and B disjoint
25654,25654,What is disjoint set with example
25655,25655,What is the difference between mutually exclusive and disjoint
25656,25656,How do you show two sets are disjoint
25657,25657,What sentiment analysis is used for
25658,25658,How do you calculate sentiment
25659,25659,How do you measure sentiment analysis
25660,25660,What is confusion matrix Sklearn
25661,25661,What is a confusion matrix in python
25662,25662,What does it mean to have a multimodal learning style
25663,25663,What are modalities of learning
25664,25664,Why is it important to learn your learning style
25665,25665,What are student learning modalities
25666,25666,What is non probability sampling design
25667,25667,What are the different types of sampling techniques
25668,25668,What are the different types of sampling strategies
25669,25669,Where is sampling used
25670,25670,When should systematic sampling be used
25671,25671,What is the purpose of systematic sampling
25672,25672,What is stratified sampling and when is most appropriately used
25673,25673,When using the normal approximation to the binomial distribution What do we use for the mean
25674,25674,How do you use normal approximation for a binomial distribution
25675,25675,What is the mean of a normal distribution curve
25676,25676,How can you spot the mean of a normal curve
25677,25677,What is a good LTV to CAC ratio
25678,25678,What is a good LTV CAC ratio for SaaS
25679,25679,What does LTV CAC measure
25680,25680,What is my LTV ratio
25681,25681,What does Anova mean in regression
25682,25682,Is Anova multiple regression
25683,25683,What is the difference between t tests and Anova versus regression
25684,25684,What does F statistic mean in regression
25685,25685,How do you interpret F statistic in linear regression
25686,25686,What is the F test of overall significance in regression analysis
25687,25687,What is variance explained in regression
25688,25688,How much of the variance is explained
25689,25689,What is variance of error
25690,25690,Is decision tree a linear model
25691,25691,What is linear convolution
25692,25692,What are the applications of linear convolution
25693,25693,Where we can apply binary search algorithm
25694,25694,What is binary search
25695,25695,Why do we need binary search tree
25696,25696,What is complexity of Rabin Karp algorithm in average case
25697,25697,What is high variance
25698,25698,How do you do univariate logistic regression in SPSS
25699,25699,What is univariate regression analysis
25700,25700,How do you do multivariate analysis in SPSS
25701,25701,What is bias detection
25702,25702,What are the factors to be considered in sampling
25703,25703,What is inspection lot in SAP
25704,25704,What is meant by acceptance sampling
25705,25705,What is meant by probability distribution of a random variable
25706,25706,What is the definition of distribution
25707,25707,What is the definition of distribution in statistics
25708,25708,What is the definition of distribution in geography
25709,25709,What is the difference between distribution function and density function
25710,25710,What is the density of a distribution
25711,25711,What is the difference between population density and population distribution quizlet
25712,25712,What is the difference between Z interval and T interval
25713,25713,How does machine learning deal with Overfitting
25714,25714,What is the best way to study statistics
25715,25715,What do you learn in probability and statistics
25716,25716,What is clustering in unsupervised learning
25717,25717,How is GloVe different from Word2Vec
25718,25718,What is a sparse matrix in C
25719,25719,What is TF IDF Matrix
25720,25720,What is entropy in simple words
25721,25721,Is entropy a physical quantity
25722,25722,What type of property is entropy
25723,25723,Is entropy intrinsic property
25724,25724,How does Hadoop work in real time
25725,25725,Which component of Hadoop is for real time processing of stream data
25726,25726,How do you find basic probability
25727,25727,What do you mean by probability
25728,25728,Why do we study probability theory
25729,25729,How many layers does a neural network have
25730,25730,What are the layers in neural network
25731,25731,What is Perceptron model
25732,25732,How does Perceptron update weight
25733,25733,What is bias in Perceptron
25734,25734,What is bias value
25735,25735,What requirements are necessary for a normal probability
25736,25736,How do you use a normal probability distribution table
25737,25737,What is a normal probability table
25738,25738,How does natural language processing work in AI
25739,25739,How AI helps in natural language processing and robotics
25740,25740,How does Confirmation bias affect our thinking
25741,25741,What problems can confirmation bias cause
25742,25742,Why biased information is unreliable
25743,25743,How do you solve a chi square distribution
25744,25744,What determines the shape of a chi square distribution
25745,25745,How are the parameters updates during gradient descent process
25746,25746,What is the best random sampling method
25747,25747,Under what circumstances stratified random sampling design is considered appropriate
25748,25748,What is the advantage and disadvantage of stratified sampling
25749,25749,What is a disadvantage of stratified sampling
25750,25750,What are the advantages and disadvantages of quota sampling
25751,25751,What does a correlation analysis tell you
25752,25752,How do you assess correlation
25753,25753,What is a Contrapositive statement
25754,25754,What does Contrapositive mean
25755,25755,What is an example of an inverse statement
25756,25756,How do you write an inverse statement
25757,25757,What is converse inverse and contrapositive of a statement
25758,25758,What is parametric and non parametric distribution
25759,25759,What is the meaning of multivariate
25760,25760,What is a multivariate design
25761,25761,Why does CNN use ReLU
25762,25762,Whats the opposite of aversion
25763,25763,What is the synonym of aversion
25764,25764,What is the opposite of being risk averse
25765,25765,What is the difference between risk aversion and risk tolerance
25766,25766,What is the opposite word for risk
25767,25767,What is the synonym and antonym of risk
25768,25768,What is the synonym of risk
25769,25769,What does AI really mean
25770,25770,How many neural networks are there
25771,25771,How neural network is used in deep learning
25772,25772,When a neural network is called Deep Neural Network
25773,25773,What is neural network and deep learning
25774,25774,How does the law of averages work
25775,25775,What do you mean by logistic regression
25776,25776,What can logistic regression answer
25777,25777,How does the logistic regression work
25778,25778,How is learning percentage calculated
25779,25779,What is the rate of learning
25780,25780,Why is linearity important in regression analysis
25781,25781,What is linearity assumption in regression
25782,25782,What assumptions are required for linear regression
25783,25783,What is linearity in linear regression
25784,25784,What is meant by linearity
25785,25785,What is linearity in data analysis
25786,25786,What is Adaline in neural network Mcq
25787,25787,WHAT IS STM in neural network Mcq
25788,25788,What is Taguchi method PDF
25789,25789,What is the logic of Taguchi methods
25790,25790,What is the significance of the variance
25791,25791,What is the importance of variance and standard deviation
25792,25792,What is the purpose of variation in statistics
25793,25793,What is variance analysis and how is it used
25794,25794,What does standard deviation and variance tell us
25795,25795,Why is it important to measure the variance of a data set
25796,25796,Why is the variance important
25797,25797,Why do we need the variability measurement for describing a data set
25798,25798,How is SSR calculated
25799,25799,How do you get SSR from R Squared
25800,25800,What is the formula for a least squares linear regression
25801,25801,What is SSR in statistics
25802,25802,How is SSR calculated in statistics
25803,25803,What is SSR in Anova
25804,25804,How do you interpret the residual sum of squares
25805,25805,How do I do logistic regression in SPSS
25806,25806,Where is logistic regression in SPSS
25807,25807,What does the reliability coefficient tell us
25808,25808,What is reliability data analysis
25809,25809,What is reliability of data
25810,25810,What does binary mean sexually
25811,25811,What is an example of the gender binary
25812,25812,What are the two binary genders
25813,25813,What does it mean when data is noisy
25814,25814,What is noisy data in machine learning
25815,25815,What is noisy data which techniques are used to handle noisy data
25816,25816,What is data cleansing in data mining
25817,25817,What is maximum likelihood learning
25818,25818,Why do we need data augmentation
25819,25819,What is augmentation in Python
25820,25820,What is a least squares regression model
25821,25821,What is a least squares mean
25822,25822,What do you mean by the term Least Square in least square regression
25823,25823,What is proportionate random sampling
25824,25824,What is non proportional sampling
25825,25825,What is proportional sampling technique
25826,25826,How do you write a proportionate stratified sample
25827,25827,How do you do proportional sampling
25828,25828,What is a proportional sample
25829,25829,Will all random samples from a given population have the same mean
25830,25830,Why do most of the sample means differ somewhat from the population mean what is this difference called
25831,25831,When estimating the population mean the sample mean is always a better estimate than the sample median
25832,25832,Why is the standard deviation of the distribution of sample means smaller than the standard deviation of the population from which it came
25833,25833,Why is the standard error of the mean smaller than standard deviation
25834,25834,What is the standard deviation of the distribution of means for samples of size
25835,25835,How do you find the confidence interval
25836,25836,What is the confidence interval in statistics
25837,25837,How do you find Shannon entropy
25838,25838,What is entropy theory
25839,25839,What is information in information theory
25840,25840,How many possible layers can be there in deep neural network
25841,25841,How deep are deep neural networks
25842,25842,What makes a deep learning network deep
25843,25843,What is regression and its significance
25844,25844,Is the regression line reliable
25845,25845,What is the regression line called
25846,25846,Does bagging reduce variance
25847,25847,Does boosting increase variance
25848,25848,How does bagging reduce variance
25849,25849,Does boosting reduce variance
25850,25850,What is conditional PDF
25851,25851,What is the conditional probability rule of independent events
25852,25852,What is R and r2 in statistics
25853,25853,What does R and R Squared mean
25854,25854,What is the difference between an unbiased sample and a biased sample
25855,25855,What is biased sample mean
25856,25856,What is false positive rate in data mining
25857,25857,What is a relative frequency table used for
25858,25858,What are examples of frequency
25859,25859,What is a norm of vector
25860,25860,How do you find the norm of a vector
25861,25861,How do you find the beta distribution of a PDF
25862,25862,What are the disadvantage and advantages of using multitasking
25863,25863,What are the advantages and disadvantages of multitasking
25864,25864,What are the negative effects of multitasking
25865,25865,Is multitasking good or bad
25866,25866,How do you say you are good at multitasking
25867,25867,How well can you multitask
25868,25868,Why is it important to multitask
25869,25869,How do you successfully multitask
25870,25870,What happens to the P value when the sample size decreases
25871,25871,What affects p value
25872,25872,What causes p value to decrease
25873,25873,How is P value determined
25874,25874,What is the relationship between sample size and statistical significance
25875,25875,Are confidence intervals affected by sample size
25876,25876,What are the uses of time series
25877,25877,What are the key differences between rule based and learning based AI
25878,25878,How can you improve the accuracy of a decision tree
25879,25879,Which hash function is best
25880,25880,What is hash function
25881,25881,How many characters is a Hash
25882,25882,What is the maximum size of the input for a hash function
25883,25883,What are the rules to be followed for hashing
25884,25884,What are the problems associated with hashing
25885,25885,Is AES a hashing algorithm
25886,25886,What is a hash algorithm encryption
25887,25887,Is sha256 a hashing algorithm
25888,25888,Which of the following is a hashing algorithm
25889,25889,Is SHA512 better than SHA256
25890,25890,What is experimenter bias and what is a strategy that experimenters can use to minimize this effect
25891,25891,What is an example of experimental bias
25892,25892,How can we minimize experimenter effects
25893,25893,How does bias affect a study
25894,25894,What happens when there is bias in an experiment
25895,25895,What are the effects of bias
25896,25896,How do you calculate Spearman's rank correlation coefficient
25897,25897,What is rank order correlation
25898,25898,Can Pearson's correlation coefficient be used on ranked data
25899,25899,Which correlation coefficient is used to measure ranked variables
25900,25900,What is the correlation coefficient for the data
25901,25901,Can you use Excel to calculate the correlation coefficient
25902,25902,How do you carry out correlation analysis in Excel
25903,25903,What is category in machine learning
25904,25904,What is the difference between expert system and artificial intelligence
25905,25905,Is standard error the same as variance
25906,25906,What is standard error equal to
25907,25907,Can variance and standard deviation be equal
25908,25908,How do you find variance from standard deviation
25909,25909,Is variance or standard deviation bigger
25910,25910,Is variance equal to standard error
25911,25911,What is the relationship between standard error standard deviation and variance
25912,25912,What is the difference between parametric and nonparametric hypothesis testing
25913,25913,Is Chi square a nonparametric test
25914,25914,Is t test parametric or nonparametric
25915,25915,What is TensorFlow API
25916,25916,What is epoch in neural network
25917,25917,Is a neural network algorithm for classification
25918,25918,What is Type 1 and Type 2 error statistics
25919,25919,What does Type 1 and Type 2 error mean
25920,25920,How is ML related to AI
25921,25921,What is the role of machine learning in artificial intelligence
25922,25922,Is ML a subset of AI
25923,25923,What are the subsets of AI
25924,25924,Which kind of learning is the subset of machine learning
25925,25925,What are the basic stages in the application of cluster analysis
25926,25926,What is the aim of a cluster analysis
25927,25927,What is the decomposition method
25928,25928,How do you use decomposition method
25929,25929,What is meant by decomposition
25930,25930,What does decomposition mean in computing
25931,25931,What is random selection method
25932,25932,What is difference between stratified and cluster sampling
25933,25933,What are the two types of sampling methods Mcq
25934,25934,What is a stochastic event
25935,25935,Is Monte Carlo a stochastic model
25936,25936,What is the difference between stochastic and deterministic events
25937,25937,What is difference between deterministic and stochastic
25938,25938,What is deterministic and stochastic system
25939,25939,What is stochastic and non stochastic
25940,25940,What makes a Markov chain irreducible
25941,25941,How can you tell if a Markov chain is reversible
25942,25942,How can you tell if a Markov chain is aperiodic
25943,25943,What is an irreducible Markov chain
25944,25944,What is a reversible Markov chain
25945,25945,How do you find the limiting distribution of a Markov chain
25946,25946,How do you do intervals on a frequency table
25947,25947,Does a frequency table use intervals
25948,25948,How do you find intervals
25949,25949,Is Average pooling linear
25950,25950,What are non linear relationships
25951,25951,How can you tell if a relationship is linear or nonlinear
25952,25952,What does non linear correlation mean
25953,25953,What do you mean by non linear
25954,25954,What is a nonlinear equation example
25955,25955,What is a non linear text
25956,25956,What is the meaning of non linear
25957,25957,What are linear and non linear texts
25958,25958,What do you mean by frequency
25959,25959,What is frequency and its types
25960,25960,How do you determine frequency
25961,25961,What is meant by sharding
25962,25962,What is range and interquartile range
25963,25963,How do you find the median and quartile
25964,25964,What is Macrostate statistical mechanics
25965,25965,What do you mean by statistical mechanics
25966,25966,Why do we study statistical mechanics
25967,25967,What is mean by statistical mechanics
25968,25968,What is statistical mechanics used for
25969,25969,Why are statistical mechanics important
25970,25970,How do you use auto ML
25971,25971,Why do we center variables
25972,25972,How do you center the mean of data
25973,25973,What is centering and scaling data
25974,25974,How do you center a variable
25975,25975,Is MSE the same as variance
25976,25976,What does standard error of the estimate mean
25977,25977,Is standard deviation a measure of variance
25978,25978,What does the standard error measure
25979,25979,Is standard error a measure of variability
25980,25980,How do you determine the number of hidden nodes
25981,25981,What happens in the hidden layer of a neural network
25982,25982,How many hidden layers and nodes are there
25983,25983,What is the margin in SVM
25984,25984,What is difference between mathematics and statistics
25985,25985,What is Statistics math with examples
25986,25986,What is the meaning of statistics in mathematics
25987,25987,What does it mean for a matrix to be similar
25988,25988,Do similar matrices have the same determinant
25989,25989,What influences effect size
25990,25990,How do you increase effect size
25991,25991,Is effect size affected by sample size
25992,25992,Is R an effect size
25993,25993,What determines effect size
25994,25994,What is effect size example
25995,25995,Which of the following statement is true about outliers in linear regression
25996,25996,What are outliers in linear regression
25997,25997,What is false reasoning
25998,25998,What is a false analogy example
25999,25999,How do you avoid false cause fallacy
26000,26000,What is the fallacy of false dilemma
26001,26001,What is an example of a false dilemma
26002,26002,What is the sampling distribution of the test statistic
26003,26003,What distribution is based on the null hypothesis
26004,26004,Where is the null distribution centered
26005,26005,Which of these distributions is used for a testing hypothesis of small samples
26006,26006,How do you find the mode of a continuous series
26007,26007,Can mode be applied to continuous data
26008,26008,What is the mode of data
26009,26009,Why is data normally distributed
26010,26010,Is the data normally distributed test
26011,26011,How do you use LSI
26012,26012,How do you calculate LSI
26013,26013,What is the area of the rejection region
26014,26014,Why is probability sampling used
26015,26015,What is the logic of probability sampling
26016,26016,Should you always choose for probability sampling
26017,26017,What can you find from a histogram
26018,26018,Does McCulloch Pitts model have ability of learning *
26019,26019,What are the drawbacks of McCulloch Pitts neural model
26020,26020,Why is McCulloch Pitts neuron widely used in logic functions
26021,26021,What are general limitations of backpropagation rule
26022,26022,What are the general task that are performed with backpropagation algorithm
26023,26023,What is backpropagation rule
26024,26024,Is it necessary to learn machine learning
26025,26025,What is relative frequency and when might this be used
26026,26026,What is the difference between percentage and relative frequency
26027,26027,How do you find the percent relative frequency
26028,26028,How do you work out the relative frequency
26029,26029,What is relative frequency distribution table
26030,26030,What is an efficient sort algorithm
26031,26031,What is the algorithm of selection sort
26032,26032,Which is more efficient selection sort or insertion sort
26033,26033,How do you calculate complexity of selection sort algorithm
26034,26034,What is queue in algorithm
26035,26035,What are the basic methods to perform clustering How are clusters evaluated
26036,26036,How do you know if cluster is good
26037,26037,How do you validate a clustering model
26038,26038,How do you improve clustering accuracy
26039,26039,What are some common considerations and requirements for cluster analysis
26040,26040,What are the challenges of K means clustering
26041,26041,Which of the following are considered to be the weakness of K means clustering
26042,26042,How do you count clusters in Dendrogram
26043,26043,How do you handle categorical data in regression
26044,26044,What is imputation in machine learning
26045,26045,What is fit in regression
26046,26046,What is a linear fit regression line
26047,26047,What is goodness of fit in regression
26048,26048,What is the difference between line of best fit and linear regression
26049,26049,Why is the regression line known as line of best fit
26050,26050,How do you find the linear best fit model
26051,26051,Why do we use parametric tests
26052,26052,What is the rationale of using nonparametric methods
26053,26053,Why do you want to do a parametric test over a nonparametric test
26054,26054,What is autocorrelation and heteroskedasticity
26055,26055,What does cross correlation mean
26056,26056,How do you find the central moment in statistics
26057,26057,What do you mean by moments in statistics
26058,26058,What is Twitter sentiment analysis
26059,26059,How do I download twitter data for sentiment analysis
26060,26060,Why do we use sentiment analysis
26061,26061,What are the types of sentiment analysis
26062,26062,Where is KNN algorithm used
26063,26063,What type of number k is in Knn
26064,26064,Is cluster sampling biased or unbiased
26065,26065,Which sampling method is biased
26066,26066,What percentage of variation in Y is explained by X
26067,26067,What percentage of the variation can be explained
26068,26068,What proportion of the variation in Y can be explained by the variation in the values of x r²
26069,26069,What is percentage of variation in regression
26070,26070,What is explained variation in statistics
26071,26071,How much of the variation is explained by the regression
26072,26072,What does variance percentage mean
26073,26073,Is variance expressed as a percentage
26074,26074,What is the variance between two numbers
26075,26075,What is the output of regression
26076,26076,What is a regression algorithm
26077,26077,How do you interpret regression outputs
26078,26078,What is the output of the regression
26079,26079,What is outcome variable in regression
26080,26080,What is the benefit of linear regression
26081,26081,Is dependent and independent variables always present in a study
26082,26082,Can a study have no independent variable
26083,26083,What are the variables in a descriptive study
26084,26084,What are the independent and dependent variables in qualitative research
26085,26085,Are there variables in a qualitative study
26086,26086,What is interpolation explain
26087,26087,What is the formula for extrapolation
26088,26088,What is the method of interpolation
26089,26089,How do you know if measurements are precise
26090,26090,What is the formula for calculating accuracy
26091,26091,Are the random variables dependent or independent
26092,26092,What are the conditions for constructing a confidence interval
26093,26093,How do you find the confidence interval for a population mean
26094,26094,How do you construct a confidence interval
26095,26095,How can you improve the accuracy of the classification method
26096,26096,How is accuracy calculated
26097,26097,What is a hypothesis and null hypothesis
26098,26098,How do you explain null hypothesis
26099,26099,What is the null hypothesis and what is one of its important purposes How does it differ from the research hypothesis
26100,26100,What are the two types of supervised learning techniques
26101,26101,What is the role of knowledge in reasoning
26102,26102,What is a knowledge base How is knowledge represented stored and accessed
26103,26103,What is the form of knowledge representation in AI
26104,26104,What is knowledge representation technique
26105,26105,What symbol represents the test statistic for the Wilcoxon signed rank test
26106,26106,Is the P value the type 1 error
26107,26107,Is P value same as standard error
26108,26108,Why there is an inverse relationship between committing a Type I error and committing a Type II error
26109,26109,How can Type 1 and Type 2 errors be minimized
26110,26110,How does power affect Type 2 error
26111,26111,What is Type II error in statistics
26112,26112,What does statistical power tell us
26113,26113,What are the types of machine learning problems
26114,26114,What are the kinds of problem which can be solved using machine learning
26115,26115,What is planning agent in AI
26116,26116,How many types of agents are there
26117,26117,Is gradient boosting machine learning
26118,26118,What does the word quantized mean
26119,26119,What is the conditional probability of dependent events
26120,26120,What is sensitivity techniques
26121,26121,What are neural networks in artificial intelligence
26122,26122,What applications should neural networks be used for
26123,26123,What is artificial neural network used for
26124,26124,What does uniform distribution look like
26125,26125,How do you estimate the sample distribution
26126,26126,What does output mean
26127,26127,What does output level mean
26128,26128,What is target variable in data mining
26129,26129,What are data mining classes
26130,26130,What is Target column
26131,26131,What is the value of lambda 1
26132,26132,What does Lambda mean in cars
26133,26133,What is the lambda value
26134,26134,What are normal O2 sensor readings
26135,26135,What is the normal curve and why do we call it normal
26136,26136,How do box plots compare GCSE
26137,26137,What is the spread of a box plot
26138,26138,How do you describe the distribution of a box plot
26139,26139,Which describes the spread of the data in the two box plots
26140,26140,What does the width of a box plot mean
26141,26141,How do you tell if data is skewed left or right box plot
26142,26142,How can you tell from a Boxplot if the distribution is skewed right quizlet
26143,26143,When a distribution is skewed to the right
26144,26144,What does a left skewed box plot mean
26145,26145,What does skewness of a box plot show
26146,26146,What does it mean if a Boxplot is positively skewed
26147,26147,When data is skewed to the left the mean is
26148,26148,Why is the efficient frontier curve
26149,26149,How do you construct an efficient frontier
26150,26150,How do you find the area to the right of the Z score
26151,26151,How do you find the area to the left of Z
26152,26152,What is the area to the right of Z 0
26153,26153,How can you use technology to find the probability of AZ score
26154,26154,How do you find the area between z scores
26155,26155,How do you find the Z score using technology
26156,26156,How do you find the z score of a data point
26157,26157,What is the purpose of descriptive statistics quizlet
26158,26158,What is the purpose of descriptive and inferential statistics
26159,26159,What is the primary purpose of statistics
26160,26160,What is a AI
26161,26161,What are the types of artificial intelligence explain
26162,26162,How do neural networks use unsupervised learning
26163,26163,What is an outlier in statistics
26164,26164,What are the assumptions for a chi square test
26165,26165,What is a double blind study and why is it useful
26166,26166,How can I improve my statistical analysis skills
26167,26167,How can you improve statistics
26168,26168,What are statistical analysis techniques
26169,26169,What is the importance of statistical analysis
26170,26170,What is the common goal of statistical Modelling
26171,26171,What is threshold in Canny edge
26172,26172,When would you use a paired sample test
26173,26173,What is an example of paired data
26174,26174,How do you know if data is paired or unpaired
26175,26175,What does paired data mean
26176,26176,What is the difference between paired and independent samples
26177,26177,What is the difference between paired and unpaired
26178,26178,How do you find the paired difference
26179,26179,What are the types of image processing
26180,26180,What is image processing application
26181,26181,Which of the following is the recommended way to initialize K means
26182,26182,What are the issues with random initialization of Centroids in K means algorithm and how do you overcome it
26183,26183,How do you select initial Centroids K means
26184,26184,What language is spoken in TensorFlow
26185,26185,How does sample size affect type 1 error
26186,26186,What is SEM analysis in statistics
26187,26187,How do you do a path analysis
26188,26188,How do you find the critical value of a standard normal distribution table
26189,26189,How do you calculate ZC
26190,26190,What is the critical value in statistics
26191,26191,How do you find the critical value on a TI 84
26192,26192,How do you find the critical value of z score
26193,26193,How do you find Z in confidence interval
26194,26194,How do you find the critical value of ZA 2
26195,26195,What is image filter
26196,26196,What is the filter for
26197,26197,What is the difference between the mean and the median
26198,26198,How does CNN improve validation accuracy
26199,26199,What is validation loss in CNN
26200,26200,What does the paired t test tell you
26201,26201,What does a paired t test measure
26202,26202,How do you interpret paired t test results
26203,26203,What is the P value in paired t test
26204,26204,What is paired difference mean
26205,26205,What is batch size in neural network
26206,26206,What is difference between diffusion and effusion
26207,26207,What is a diffusion
26208,26208,What is an example of gas effusion
26209,26209,How do you solve effusion problems
26210,26210,Who proposed Graham's law of diffusion
26211,26211,What is the Graham's law of diffusion
26212,26212,Who discovered diffusion
26213,26213,What is the rate of diffusion
26214,26214,What is the difference between a geometric sequence and an exponential function
26215,26215,How do you know if a sequence is exponential
26216,26216,How do you create a singularity image
26217,26217,What type of data does the Gaussian distribution model
26218,26218,Is the product of two Gaussian random variables also a Gaussian
26219,26219,What is random error how it can be eliminated
26220,26220,What is a density function in statistics
26221,26221,How do you find C in probability density function
26222,26222,What is the difference between population and sampling frame
26223,26223,What is the difference between target population and sample population
26224,26224,How do you choose alpha significance level
26225,26225,When should you choose the significance level of a hypothesis test
26226,26226,How do you determine statistically significant difference
26227,26227,How do you determine if a sample is statistically significant
26228,26228,What is the disadvantage of the linear model of communication
26229,26229,Which of the following is a problem with the linear model of communication
26230,26230,What is the disadvantage of linear
26231,26231,What is the advantages of linear communication model
26232,26232,How do you report median and interquartile range in text
26233,26233,Do you include median in Iqr
26234,26234,Which is better range or interquartile range
26235,26235,Why is Iqr better than standard deviation
26236,26236,Why is Iqr preferred over range
26237,26237,Is the Iqr half the range
26238,26238,What is the function of interquartile range
26239,26239,Do Neural networks learn
26240,26240,Is deep learning strong AI
26241,26241,How does deep learning AI work
26242,26242,What is Gibbs algorithm
26243,26243,What is gradient effect
26244,26244,How do you choose a gradient color
26245,26245,What is a gradient color stop
26246,26246,What is meant by gradient
26247,26247,How is gradient calculated
26248,26248,What is a gradient of 0
26249,26249,Is slope the same as gradient
26250,26250,What does the gradient mean
26251,26251,How do you find the gradient of a slope
26252,26252,What do you mean by measures of location
26253,26253,What is measure of location and dispersion
26254,26254,How do you determine the best measure of central tendency
26255,26255,Which measure of central tendency is the most stable and why
26256,26256,Which average is the best and why
26257,26257,What instructional strategies will support student learning through multiple modalities
26258,26258,How does a visual learner learn best
26259,26259,Is feature selection important for linear models
26260,26260,What are the benefits of performing feature selection before modeling your data
26261,26261,What is the variable in a histogram
26262,26262,How do you find the mean from a box plot
26263,26263,What can you not tell from a box plot
26264,26264,Can you tell standard deviation from a box plot
26265,26265,How do you track an object
26266,26266,What is the difference between object detection and object tracking
26267,26267,What is tracking by detection
26268,26268,What are the basic components of an object tracking system
26269,26269,What is a tracking
26270,26270,What is the difference between detection and tracking
26271,26271,What is object recognition in computer vision
26272,26272,How do you find the intersection of two events
26273,26273,How do you find the probability of intersection of events
26274,26274,What does the intersection of two or more events mean
26275,26275,What does intersection mean in probability
26276,26276,How do you know what distribution to use in statistics
26277,26277,What are the advantages of non parametric test
26278,26278,What industry is AI in
26279,26279,Where is artificial intelligence mostly used
26280,26280,Is AI a subset of data science
26281,26281,Should I learn data science or AI
26282,26282,What is AI ml and data science
26283,26283,What are the steps in hypothesis testing in statistics
26284,26284,What type of statistics is hypothesis testing
26285,26285,Is hypothesis testing descriptive statistics
26286,26286,How do you calculate optimal learning rate
26287,26287,What is the optimal learning rate
26288,26288,How do you choose learning rate gradient descent
26289,26289,What is signal in statistics
26290,26290,What is a good split half reliability
26291,26291,Does Adam change learning rate
26292,26292,What should my learning rate be
26293,26293,How do you remove selection bias
26294,26294,What eliminates the risk of selection effects
26295,26295,How do you control selection bias
26296,26296,What is statistical decision
26297,26297,What are the elements of decision theory
26298,26298,What is the standard deviation of a geometric distribution
26299,26299,What are the parameters of a distribution
26300,26300,What are the parameters of the probability distribution make example
26301,26301,What is parameter in statistics and probability
26302,26302,How do you test for normality of residuals
26303,26303,How do you test for normality assumption
26304,26304,Which statistical methods require the residuals normally distributed
26305,26305,How do you check if data is normally distributed Excel
26306,26306,Which Boolean function can be represented by a single Perceptron
26307,26307,How would you represent Boolean functions with the help neural network
26308,26308,Why is sample size important in experimental design Choose the one best answer
26309,26309,What happens when we increase the sample size
26310,26310,What do you mean by data preprocessing
26311,26311,What do u mean by data processing
26312,26312,What is data processing explain with diagram
26313,26313,What is data processing Why is it needed
26314,26314,What is the meaning of optimization
26315,26315,How does the matrix portray reality
26316,26316,Is the matrix based on reality
26317,26317,What is reality matrix quote
26318,26318,What Anova to use
26319,26319,Why would you use Anova when you could just run many sets of t tests think about practical considerations as well as statistical considerations
26320,26320,How do you analyze multivariate data
26321,26321,What is the beta in linear regression
26322,26322,What does a beta coefficient tell you
26323,26323,What does negative beta mean in regression
26324,26324,What does a beta of 0.7 mean
26325,26325,What does a beta of 0.2 mean
26326,26326,What are the qualities of a good estimator
26327,26327,What is the difference between deterministic and stochastic models
26328,26328,What is stochastic simulation model
26329,26329,What is meant by stochastic model
26330,26330,What is the meaning of stochastic model
26331,26331,Why probability sampling is generally preferred
26332,26332,What is sample and sampling design
26333,26333,What should be the value of k in Knn
26334,26334,How do you find the best K value
26335,26335,What is the role of the Hyperparameter K in Knn
26336,26336,When Should non parametric statistical method be used
26337,26337,In what area of research the nonparametric tests are more useful than parametric tests
26338,26338,What is the purpose of a simple linear regression analysis
26339,26339,What is the difference between sampling frame and population
26340,26340,What is the difference between sample and target population
26341,26341,What is a secondary independent variable
26342,26342,What are the properties of a binomial distribution
26343,26343,What are the properties of the normal distribution
26344,26344,Is binomial distribution continuous
26345,26345,Are Bernoulli random variables independent
26346,26346,How do you calculate the population mean
26347,26347,What does a high covariance mean
26348,26348,What is the difference between covariance and correlation coefficient
26349,26349,What is covariance coefficient
26350,26350,Is the dependent variable The outcome variable
26351,26351,Is the response variable The outcome
26352,26352,How do you measure similarity between two images
26353,26353,What does Word_tokenize () function in NLTK do
26354,26354,Why do we Tokenize in NLP
26355,26355,How do you Tokenize in NLTK
26356,26356,What is NLTK Punkt
26357,26357,What does NLTK text do
26358,26358,Why is the median better than the mean
26359,26359,Why is the median a better measure of central tendency than the mean
26360,26360,Why would you use median over mean
26361,26361,Why use median income instead of average
26362,26362,Why is median better than mean for skewed data
26363,26363,Is Median better for skewed data
26364,26364,Why is the median the best measure of central tendency for a skewed distribution
26365,26365,Is the median affected by skewness
26366,26366,Why is median better than mean and mode
26367,26367,What does the difference between mean and median suggest
26368,26368,Why use mean instead of average
26369,26369,What is the decision boundary in classification
26370,26370,How do you find the decision boundary of a logistic regression
26371,26371,What is the correlation of a variable with itself
26372,26372,What does a correlation of 0.25 mean
26373,26373,What happens when two variables are correlated
26374,26374,What does it mean when data is correlated
26375,26375,What is meant when two factors are correlated
26376,26376,Why Clustering is important in data mining
26377,26377,Is the distribution approximately normal
26378,26378,How do you deal with unbalanced datasets
26379,26379,What is covariate variable in research
26380,26380,Are covariates control variables
26381,26381,What does it mean to adjust for covariates
26382,26382,What does controlling for variable mean
26383,26383,How do you choose a covariate
26384,26384,What are covariates in regression
26385,26385,What is stratified block randomisation
26386,26386,What does it mean to stratify results
26387,26387,What does t test tell you
26388,26388,How do you find the t statistic
26389,26389,Is P value a statistic
26390,26390,How do you find the value of the standardized test statistic
26391,26391,Is the Z value the test statistic
26392,26392,What are the advantages of PI controller
26393,26393,What are the drawbacks of P controller
26394,26394,Where do we use z score
26395,26395,What is information theory used for
26396,26396,What is information in information theory and coding
26397,26397,Who is the founder of information theory
26398,26398,What does it mean if a matrix is not invertible
26399,26399,What does it mean to be Nonsingular
26400,26400,How do you check if matrix is nonsingular
26401,26401,What does RMSE measure
26402,26402,How do you find standard error of estimate
26403,26403,What is Computer Vision subject
26404,26404,What is the best neural network
26405,26405,What is L1 and L2 normalization
26406,26406,How do you write a statistics project
26407,26407,What do you mean by statistics
26408,26408,What is a statistic explain with a valid example
26409,26409,What does statistic mean in statistics
26410,26410,How do you find a statistic
26411,26411,Can artificial intelligence be emotionally intelligent
26412,26412,What is the probability mass function
26413,26413,What is Poisson distribution function
26414,26414,What is PMF PDF and CDF
26415,26415,What is the permutation formula
26416,26416,How do you find the p value for a right tailed test
26417,26417,What is the definition of permutation
26418,26418,How do you handle imbalanced text data
26419,26419,Does smote work on text data
26420,26420,Why do we balance data
26421,26421,How many neurons does CNN have
26422,26422,How does a median filter work
26423,26423,What should my low pass filter be set to
26424,26424,What is the cutoff frequency of a low pass filter
26425,26425,What does it mean to organize yourself
26426,26426,Which one of the functions always maps the values between 0 and 1 Tanh sigmoid logit ReLU
26427,26427,What is the range of the output values for a sigmoid function
26428,26428,Is Dqn on policy or off policy
26429,26429,How do you find sample variance and population variance
26430,26430,How do you find the variance of a sample data
26431,26431,What does the sample variance tell us
26432,26432,What does variance say about data
26433,26433,How do you find the sample mean and sample variance
26434,26434,What are the characteristics of a linear model
26435,26435,What are the three parts of the linear model of communication
26436,26436,What are the example of linear model of communication
26437,26437,What are the characteristics of a linear model Brainly
26438,26438,What are the characteristics of a linear model of communication select one
26439,26439,What is the example of linear model
26440,26440,How is the regression coefficient calculated
26441,26441,What do regression coefficients mean
26442,26442,How do you interpret a coefficient
26443,26443,How do you tell if a word problem is linear or exponential
26444,26444,What does an exponential regression look like
26445,26445,What do A and B represent in an exponential regression
26446,26446,What is an exponential function simple definition
26447,26447,What's the meaning of interpolation
26448,26448,What do you mean by interpolation method
26449,26449,What is linear interpolation method
26450,26450,Is binomial discrete or continuous
26451,26451,Is it appropriate to use a normal approximation to the binomial distribution
26452,26452,What are the issues in knowledge representation in AI
26453,26453,Why are representations so important in artificial intelligence
26454,26454,What is a stationary random process
26455,26455,What is the main advantage of the standardized mean difference SMD over the mean difference MD
26456,26456,What is meaning of standardized
26457,26457,What does a standardized test mean
26458,26458,What is SMD in statistics
26459,26459,How do you calculate effect size in a study
26460,26460,Which algorithm is used for state space search problems
26461,26461,Which method is used for state space search
26462,26462,What is state space representation of problem
26463,26463,What is state space in AI Mcq
26464,26464,What is state space representation of a problem
26465,26465,What method is used for state space search problems
26466,26466,What is problem space How problem can be defined as state space search
26467,26467,What are the different types of data distribution
26468,26468,What Makes a probability distribution
26469,26469,How do you do probability distributions
26470,26470,What is the mean of the probability distribution
26471,26471,Which matrix can be used on a regression problem
26472,26472,Which of the following metrics can be used for evaluating regression models
26473,26473,What is mean by regression analysis
26474,26474,What are the uses of regression analysis
26475,26475,How can Fourier transform be developed from Fourier series
26476,26476,How does Fourier series work
26477,26477,What is the relation between z transform and fourier transform
26478,26478,What is Z transform used for
26479,26479,How do you calculate average quickly
26480,26480,What's the meaning of average
26481,26481,What is another word for average
26482,26482,Does data analytics require machine learning
26483,26483,Is machine learning part of analytics
26484,26484,What is AI in Analytics
26485,26485,Is Data Analytics part of machine learning
26486,26486,What is curse of dimensionality in data mining
26487,26487,What does a multiple linear regression analysis examine
26488,26488,How do you write a multiple linear regression
26489,26489,How do you find the median when given the mean
26490,26490,Does N Mean Median
26491,26491,What is non Randomised control trial
26492,26492,What measures the relationship between two variables
26493,26493,What can be used to study the relationship between two variables
26494,26494,Why is ex its own derivative
26495,26495,What is the differentiation of log ex
26496,26496,Where do we use chi square test
26497,26497,What is Chi Square t test and Anova
26498,26498,What is output device and examples
26499,26499,What is output give example
26500,26500,What is output process
26501,26501,What is used in backward chaining algorithm
26502,26502,Which system uses forward reasoning
26503,26503,What is a complementary probability in math
26504,26504,What is the purpose of random assignment in an experiment to select a sample that is representative of the population to create similar treatment groups to eliminate the effects of the explanatory variable to control voluntary response bias
26505,26505,What is the purpose of random assignment in an experiment chegg
26506,26506,Why is the random assignment of individuals to experimental and control groups important
26507,26507,How do you tell the difference between independent and dependent variables
26508,26508,How do you interpret a main effect
26509,26509,What does main effect mean in Anova
26510,26510,What is the relationship between main effects and interactions quizlet
26511,26511,Is the independent variable measured
26512,26512,Is the independent variable manipulated
26513,26513,What variables are measured
26514,26514,What type of data is the independent variable
26515,26515,Is there an independent variable in qualitative research
26516,26516,What are the conditions of an independent variable
26517,26517,How is an independent variable measured
26518,26518,Can independent variable be measured
26519,26519,What type of data can be measured
26520,26520,Is Knn sensitive to outliers
26521,26521,Does Multicollinearity affect Knn
26522,26522,How do you find the joint probability of a mass function
26523,26523,How do you find the joint probability of a dependent event
26524,26524,Are joint probabilities independent
26525,26525,Why neural network is important in AI
26526,26526,How many layers do neurons have
26527,26527,What is the output of convolutional neural network
26528,26528,What is the output of convolution neural network
26529,26529,How do you find the significance level in a chi square test
26530,26530,What is the significance of chi square test
26531,26531,What is the chi square critical value at a 0.05 level of significance
26532,26532,How do you use a 0.05 significance level
26533,26533,How do you tell if chi squared is statistically significant
26534,26534,Is Linear Algebra algebra
26535,26535,What are the limitations of statistics
26536,26536,What is the meaning of statistics class 11
26537,26537,What are the importance of statistics
26538,26538,What are the main limitations of statistics
26539,26539,What is statistics and its limitations
26540,26540,What are the challenges of data analysis
26541,26541,What are the advantages of data analysis
26542,26542,How has artificial intelligence impact the world
26543,26543,How is AI used in today's world
26544,26544,How will Ai affect the world
26545,26545,What is a B C testing
26546,26546,What type of measurement is heart rate
26547,26547,Is heart rate an interval or ratio
26548,26548,Is the independent variable continuous
26549,26549,What type of variable is the independent variable
26550,26550,Is the confidence interval affected by the fact that the data appear to be from a population that is not normally distributed
26551,26551,Are results between two confidence intervals very different
26552,26552,How do you find the degrees of freedom for a confidence interval
26553,26553,What is multi regression
26554,26554,What does the area under the curve represent
26555,26555,What does the area represent in terms of probability
26556,26556,What is a probability distribution curve
26557,26557,How are conditional distributions calculated
26558,26558,What is support vector clustering
26559,26559,What is the best way to compare K means clustering and SVM classification
26560,26560,What is independent sample t test used for
26561,26561,What assumptions are required for the Kruskal Wallis test
26562,26562,What happens if data is skewed
26563,26563,Where is the mean in a skewed distribution
26564,26564,What is the importance of skewness
26565,26565,What does skewness measure
26566,26566,What does a skewed curve tell you about a dataset
26567,26567,What are the basic steps for K means clustering
26568,26568,How do you set K in K means
26569,26569,Is logistic regression non linear
26570,26570,Is scaling required for logistic regression
26571,26571,Should you normalize data before regression
26572,26572,What is normalization in logistic regression
26573,26573,Which is better for image classification supervised or unsupervised classification
26574,26574,Why is decision analysis used
26575,26575,How do you write a decision analysis
26576,26576,Where is data mining used
26577,26577,What is data mining and its applications
26578,26578,Why is data mining needed
26579,26579,What data is used in data mining
26580,26580,What are different data mining methodology
26581,26581,Is a sample mean biased or unbiased estimator
26582,26582,Is the sample mean unbiased
26583,26583,What are the disadvantages of standard deviation
26584,26584,Why is lower standard deviation better
26585,26585,What is the difference between independent and dependent events
26586,26586,How does random forest do regression
26587,26587,What is non standard measurement
26588,26588,How do you find standard units
26589,26589,How do you create a probability distribution of data
26590,26590,What forms a probability distribution
26591,26591,Is convolutional neural network deep learning
26592,26592,Is CNN part of deep learning
26593,26593,How do convolutional layers work in deep learning neural networks
26594,26594,Whats the difference between a bandit and a crook
26595,26595,Whats the meaning of bandit
26596,26596,What is covariance matrix in PCA
26597,26597,What is a covariate matrix
26598,26598,How do you find the covariance matrix
26599,26599,What is inter observer reliability
26600,26600,What is Inter method reliability
26601,26601,How do you calculate interrater reliability
26602,26602,How do you calculate Cohen's kappa in SPSS
26603,26603,How is Intercoder reliability measured
26604,26604,How do you calculate inter rater reliability
26605,26605,What kind of variable is best for categorical data
26606,26606,How do you plot continuous and categorical variables
26607,26607,Should I standardize categorical variables
26608,26608,What is Bayesian framework
26609,26609,What is meant by more efficient estimator
26610,26610,How do you compare estimators
26611,26611,How do you know if an estimator is efficient
26612,26612,Is the R value the correlation coefficient
26613,26613,Is Correlation the same as R
26614,26614,What does the R value mean in correlation
26615,26615,How do you find the correlation coefficient in R
26616,26616,How do you manually calculate the correlation coefficient
26617,26617,Is the R squared value the correlation coefficient
26618,26618,How do I choose the best estimator
26619,26619,What are three properties of a good estimator
26620,26620,How do u find the median of two numbers
26621,26621,How do you calculate the median in statistics
26622,26622,What is median in statistics
26623,26623,What are the types of recurrent neural network
26624,26624,What type of algorithm is decision tree
26625,26625,Is decision tree a greedy algorithm
26626,26626,What is decision tree algorithm in machine learning
26627,26627,What is a decision algorithm
26628,26628,What does fixed effects control for
26629,26629,What is a fixed effects regression model
26630,26630,What is r squared and p value
26631,26631,What does the R2 value tell you
26632,26632,What does P value mean in R
26633,26633,Why multiple regression is better than simple regression
26634,26634,Why is multiple regression useful
26635,26635,How are KNN classifiers modified
26636,26636,How is the mean related to the median for a normal distribution
26637,26637,How do you get rid of Multicollinearity in linear regression
26638,26638,What is ungrouped data example
26639,26639,How do you find ungrouped mean
26640,26640,What is meant by grouped data
26641,26641,How do we get grouped data from ungrouped data
26642,26642,How do you calculate correction factor in calibration
26643,26643,What is the purpose of one hot encoding
26644,26644,Are dummy variables binary
26645,26645,What is the difference between mutually exclusive and not mutually exclusive
26646,26646,Are mutually exclusive or disjoint events independent or dependent
26647,26647,What is an example of a non mutually exclusive event
26648,26648,What are mutually exclusive events in probability
26649,26649,What does standard error mean in regression
26650,26650,What is SSE in regression
26651,26651,How do you find the standard error of a coefficient
26652,26652,What is standard error of regression coefficient
26653,26653,What is standard error in correlation
26654,26654,What does Y mean in regression
26655,26655,What is the standard error of the intercept
26656,26656,What is an appropriate residual plot
26657,26657,What can you interpret from this residual scatter plot
26658,26658,Which of the following method is used to build the KNN regression model
26659,26659,What is image binning
26660,26660,What does it mean to be binned
26661,26661,How do you know if two signals are similar
26662,26662,Which of the following is a mathematical process used to determine similarity between two different signal
26663,26663,How do you Normalise a percentage
26664,26664,What is normalization in probability
26665,26665,What does Normalised mean
26666,26666,How do you normalize results
26667,26667,Do you belong to non creamy layer category
26668,26668,Who are comes under OBC
26669,26669,Can decision trees be used for all classification tasks Mcq
26670,26670,What does positive feedback do in the body
26671,26671,Does positive feedback increase stimulus
26672,26672,Which function is used to test goodness of fit of a continuous distribution to data
26673,26673,Which test is used for goodness of fit
26674,26674,How do you conduct a goodness of fit test
26675,26675,What does a moving average filter do
26676,26676,What is the undesirable side effects of averaging filters
26677,26677,For what purpose is convolutional neural network used
26678,26678,What does Type II error mean
26679,26679,What causes type2 errors
26680,26680,Is Anova one tailed or two tailed
26681,26681,What are the assumptions of F test
26682,26682,What does an F statistic of 1 mean
26683,26683,How do you know if a test is left tailed or right tailed
26684,26684,Does at test compare means
26685,26685,Is NLP AI or ML
26686,26686,Is neural networks a part of ML
26687,26687,Is NLP a part of deep learning
26688,26688,What does range signify
26689,26689,What does a range represent
26690,26690,What does range indicate in statistics
26691,26691,What does it mean when the range is high
26692,26692,Which search implements stack operation for searching the states *
26693,26693,What is the other name of informed search strategy *
26694,26694,What is the difference between inference Summarising and prediction
26695,26695,What is the difference between an inference prediction observation and explanation
26696,26696,Is volume a discrete or continuous variable
26697,26697,How can you tell if data is continuous or discrete
26698,26698,How do you know if your data is discrete or continuous
26699,26699,What is an outlier in data analysis
26700,26700,How are outliers treated in data analysis
26701,26701,What is data structure explain with example
26702,26702,What is data structure explain in detail
26703,26703,What is data structure and explain its types
26704,26704,What is Gini index in decision tree
26705,26705,Is Gini better than information gain
26706,26706,What is the difference between linear and non linear correlation
26707,26707,What's a nonlinear correlation
26708,26708,What is the difference between linear and nonlinear data
26709,26709,What is meant by linear correlation
26710,26710,What is linear and nonlinear correlation
26711,26711,What is lexical disambiguation
26712,26712,What are the assumption of logistic regression
26713,26713,How do you overcome the learning curve
26714,26714,What is a good learning curve
26715,26715,Why steep learning curve is wrong
26716,26716,How do you interpret the loss and accuracy of a machine learning model
26717,26717,Why is the convexity of the loss function important for machine learning
26718,26718,What is need of optimization in machine learning
26719,26719,What would the probability distribution tell you
26720,26720,Why do you divide by N 1 for the standard deviation of sample data but not for population data
26721,26721,Why is the standard error of the mean used for the t test and not the standard deviation
26722,26722,What is the role of standard error in testing of hypothesis
26723,26723,What is the n value in standard deviation
26724,26724,What is N in standard error
26725,26725,What is Cryptarithmetic problem in AI
26726,26726,Why is matrix used
26727,26727,Why is linear algebra used in machine learning
26728,26728,How do you explain correlation between two variables
26729,26729,What is meant by imitation learning
26730,26730,How is linear algebra used in machine learning
26731,26731,Where is linear algebra used
26732,26732,How linear algebra is used in data science
26733,26733,What is linear SVC classifier
26734,26734,What is SVC algorithm
26735,26735,What is a predictor and criterion variable
26736,26736,What makes a good predictor variable
26737,26737,How do you know if a variable is independent in statistics
26738,26738,What is GloVe word embedding
26739,26739,How do you use GloVe word embeds
26740,26740,What factors will you consider when determining sample size
26741,26741,Does sample size affect spread
26742,26742,What is sample size in probability
26743,26743,How does sample size affect P value
26744,26744,What effect does increasing the sample size have on the probability
26745,26745,What is iterable and iterator in python
26746,26746,What's an iterable in python
26747,26747,What does iterator mean
26748,26748,What is a good P value in regression
26749,26749,How do you find the odds ratio in logistic regression R
26750,26750,How do I calculate odds ratio
26751,26751,How do you convert odds ratio to probability
26752,26752,What is bias and example
26753,26753,What is feature set
26754,26754,What is the input to a classifier in machine learning
26755,26755,What are input features
26756,26756,What is the shortcut to calculate standard deviation
26757,26757,What is the formula of shortcut method
26758,26758,What is meant by generalized in statement Backpropagation is a generalized delta rule
26759,26759,What is the product rule in statistics
26760,26760,What is MLP AI
26761,26761,What does N mean in degrees of freedom
26762,26762,What is open NMT
26763,26763,How do you interpret ROCS in SPSS
26764,26764,How do you find the sensitivity and specificity of a ROC curve in SPSS
26765,26765,How do you explain a ROC curve
26766,26766,How do you read an operating receiver curve
26767,26767,What is a ROC curve and what does it represent
26768,26768,When should I use Poisson regression
26769,26769,Does machine learning have neural networks
26770,26770,How do you calculate error term
26771,26771,What is the error term
26772,26772,How do you calculate error in regression
26773,26773,What is the error term in OLS method
26774,26774,What is the difference between error terms and residuals in econometrics
26775,26775,Is residual the same as standard error
26776,26776,What is assumption error
26777,26777,How deep is a neural network
26778,26778,What is ML evaluation
26779,26779,What is the relationship between a population and a sample
26780,26780,What is the relationship between the expected value of the sample mean and the expected value of the population
26781,26781,What is the difference between the mean and the expected value
26782,26782,What is the mean of the sampling distribution of means
26783,26783,Is the sample mean the same as the mean
26784,26784,What is the meaning of mean in probability
26785,26785,What is an AR 2 model
26786,26786,Which of the following method gives the best fit for logistic regression model
26787,26787,Is K means clustering machine learning
26788,26788,How do you find the class limits in statistics
26789,26789,What are the class limits of the first class interval
26790,26790,What are the qualities of good sample
26791,26791,How do you choose a good sample method
26792,26792,What is meant by sample size
26793,26793,What is considered a representative sample size
26794,26794,How do I know if my data is normally distributed
26795,26795,Why does it matter if data is normally distributed
26796,26796,How do we know if the data is normally distributed
26797,26797,What is distribution testing
26798,26798,Why normality test is done
26799,26799,What effect does the unsharp mask filter have on an image
26800,26800,What happens when you sharpen an image
26801,26801,What is the advantage of cluster sampling
26802,26802,What are the advantages of clustering
26803,26803,Does TensorFlow require Internet
26804,26804,What does TensorFlow Lite do
26805,26805,How do you make a TensorFlow Lite model
26806,26806,How do you convert a TensorFlow model to a TensorFlow Lite
26807,26807,Why is spatial interpolation so important in a GIS
26808,26808,Why is interpolation needed
26809,26809,What type of spatial autocorrelation exists
26810,26810,What is a false positive and false negative and how are they significant in machine learning
26811,26811,What does deep mean in deep learning
26812,26812,Who invented deep learning
26813,26813,How deep is deep neural network
26814,26814,Why do we use deep learning
26815,26815,What is binary logistic regression used for
26816,26816,What is Stanford NLP
26817,26817,What is core NLP
26818,26818,How do you measure validity
26819,26819,What is test validity and reliability
26820,26820,Is a standard normal distribution a discrete or continuous distribution
26821,26821,Does normal distribution apply to discrete variables
26822,26822,Is the distribution a discrete probability distribution quizlet
26823,26823,How do you determine if the distribution is a discrete probability distribution
26824,26824,Is the distribution a discrete probability distribution chegg
26825,26825,Is probability distribution discrete and continuous
26826,26826,How do you use interpolation
26827,26827,How do you explain interpolation
26828,26828,Why is interpolation used
26829,26829,What is SVR in Python
26830,26830,Which learning do we use Labelled data
26831,26831,Which machine learning algorithm uses both labeled and unlabeled data for training
26832,26832,How do you interpret Pearson correlation in SPSS
26833,26833,How do outliers affect regression line
26834,26834,What is the sample size n
26835,26835,What is N in stats
26836,26836,What is N in a confidence interval
26837,26837,What is a population proportion in statistics
26838,26838,What is the proportion of population to sample
26839,26839,How do you calculate population proportion in Excel
26840,26840,Is population proportion the same as population mean
26841,26841,What does trending mean
26842,26842,What is trending now in South Africa
26843,26843,What does it mean if something is trending
26844,26844,How will you determine if a product is a trend and a fad
26845,26845,What is von Mises stress in Abaqus
26846,26846,How is von Mises stress calculated
26847,26847,What is von Mises theory
26848,26848,How do you find the depth of an image
26849,26849,What is monocular depth estimation
26850,26850,What is depth in image processing
26851,26851,How do you take depth in a picture
26852,26852,What is depth of image in Opencv
26853,26853,What is depth information in image
26854,26854,What is depth data
26855,26855,What is the formula for frequency distribution
26856,26856,What is frequency distribution in math
26857,26857,What is frequency distribution class 11
26858,26858,What is the class frequency
26859,26859,What is the formula for calculating frequency in statistics
26860,26860,What is a correlated subquery give an example
26861,26861,When should we use correlated subquery
26862,26862,Why use instead of join
26863,26863,Is NLP part of machine learning
26864,26864,How do you show independent and dependent variables
26865,26865,What is achiever batch in Allen
26866,26866,What is achiever course in Allen
26867,26867,Is it good to join Allen in 12th
26868,26868,What is Frcnn
26869,26869,How many models are there in machine learning
26870,26870,What is the best machine learning model
26871,26871,Which is the model used for learning
26872,26872,What is tag set
26873,26873,Which NLTK function is used for POS tagging
26874,26874,How do you define a probability function
26875,26875,How is probability mass function derived
26876,26876,Why is bias needed
26877,26877,How does Bias help to obtain the output
26878,26878,What is the purpose of bias in neural network
26879,26879,Why do we use a bias vector in our forward pass
26880,26880,Does a larger sample size increase reliability
26881,26881,Does sample size affect effect size
26882,26882,What is SVC in SVM
26883,26883,How many layers does a deep neural network have
26884,26884,How many maximum hidden layers consist in shallow neural networks
26885,26885,How do you interpret regression in SPSS
26886,26886,What is a non standard unit of measurement
26887,26887,What are other units of measurement
26888,26888,What are non standard measures
26889,26889,What are the benefits of measurement
26890,26890,What is hermitian of a matrix
26891,26891,What is skew Hermitian matrix with example
26892,26892,How do you identify a Hermitian matrix
26893,26893,How do you find the skew of a matrix
26894,26894,What is the formula of skew symmetric matrix
26895,26895,What is the meaning of skew symmetric matrix
26896,26896,What is symmetric matrix give an example
26897,26897,How do you find the skew symmetric matrix
26898,26898,What is Gladwell's theory of success
26899,26899,What is the central idea of outliers
26900,26900,What is Gladwell's tone in outliers
26901,26901,What is Gladwell's claim in outliers
26902,26902,What is the potential issue with a large sample
26903,26903,How does sample size affect statistical power
26904,26904,What is the impact of increasing sample size and increasing effect size on statistical power
26905,26905,What happens when the sample size is increased
26906,26906,What is the effect of the sample size in probability
26907,26907,What effect does increasing the sample size have on the probability provide an explanation for this result
26908,26908,What is the difference between single linkage method and the complete linkage method
26909,26909,What does dimensional analysis cancel out
26910,26910,How do you prove something is not mutually exclusive
26911,26911,How do you determine if two events are mutually exclusive or not
26912,26912,What does the two are not mutually exclusive mean
26913,26913,How do you use not mutually exclusive in a sentence
26914,26914,What does mutual exclusivity mean
26915,26915,What is an example of two mutually exclusive events
26916,26916,What if two events are independent
26917,26917,Which of the following random variable is continuous
26918,26918,Which of the following is an example of continuous random variable
26919,26919,Which one of these variables is a continuous random variable
26920,26920,What is continuous and discrete random variable
26921,26921,Can you have a negative R 2
26922,26922,What does it mean when R2 is negative
26923,26923,What does a positive R Squared mean
26924,26924,Can a negative sign be a coefficient
26925,26925,Can a slope coefficient be negative
26926,26926,What is another word for event
26927,26927,How does reinforcement influence learning
26928,26928,How does reinforcement affect behavior
26929,26929,What would be the independent variable
26930,26930,What would be the independent and dependent variables
26931,26931,How would you describe a independent variable
26932,26932,What is an independent variable kid definition
26933,26933,What is the space complexity of local beam search algorithm
26934,26934,What can make beam search more likely to find the optimal path to the goal
26935,26935,How do you predict sample size
26936,26936,What is the moving average method
26937,26937,Is moving average regression
26938,26938,What is the difference between Ma and EMA
26939,26939,What is ma time series
26940,26940,What is Ma in Arima
26941,26941,What is linear programming explain with examples
26942,26942,What is hidden state in Lstm
26943,26943,What are hidden layers in Lstm
26944,26944,What is data cleaning in data analysis
26945,26945,When would you use a correlation coefficient
26946,26946,What is the Pearson correlation coefficient used for
26947,26947,How do you know if there is a correlation
26948,26948,When Pearson's correlation coefficient between two continuous variables is what does it imply
26949,26949,When there is no correlation between two variables Pearson's r is
26950,26950,What is experimental effect
26951,26951,Why does correlation not equal causation example
26952,26952,What is a within subjects variable
26953,26953,What is a between subjects experiment
26954,26954,What is a between subjects factor
26955,26955,What does between subjects mean in a between subjects experiment
26956,26956,What level of evidence is a non randomized controlled trial
26957,26957,What does randomized trial mean
26958,26958,How does a Randomised control trial work
26959,26959,Why is a Randomised control trial good
26960,26960,How do I interpret logistic regression in SPSS
26961,26961,How do you interpret B in logistic regression
26962,26962,What does an odds ratio of 0.7 mean
26963,26963,How do you find the scalar equation of a line
26964,26964,How do you find the scalar equation of a vector
26965,26965,How do you find the equation of a plane given two vectors
26966,26966,What is the vector equation of XY plane
26967,26967,Are recommender systems machine learning
26968,26968,What is the meaning of variation in statistics
26969,26969,What is the meaning of variation
26970,26970,What does measure of variation mean
26971,26971,How do you describe variance
26972,26972,What is measure of variation in statistics
26973,26973,How do you describe variation in data
26974,26974,How do you describe the variability of a data set
26975,26975,What is the variance of a data set
26976,26976,How do you describe variability
26977,26977,What is the standard deviation of the sample proportion
26978,26978,What is the standard deviation of the sampling distribution
26979,26979,How do you find the standard deviation of a sample size and proportion
26980,26980,What is the standard deviation of the sampling distribution of X Bar
26981,26981,How do you find the mean and standard deviation of the sampling distribution of X Bar
26982,26982,How do you find the standard deviation of the sampling distribution of X
26983,26983,What is the standard deviation of the sampling distribution of the sample mean
26984,26984,What happens to the mean and standard deviation of the distribution of sample means
26985,26985,How do you find the standard error of the difference
26986,26986,How do you find the standard error of the difference of two proportions
26987,26987,How do you find the standard deviation of the differences
26988,26988,What does Standard Error tell you about a data set
26989,26989,What does the standard error of the mean ΣM represent
26990,26990,How do you find the degrees of freedom for the difference in means
26991,26991,Why is the XOR problem exceptionally interesting to neural network researchers
26992,26992,What can box plots tell us
26993,26993,What are the advantages of a box plot
26994,26994,What is gradient update
26995,26995,Which learning updates the connecting weights in a neural set
26996,26996,Why we use Fourier series and Fourier transform
26997,26997,Why do we use Fourier series
26998,26998,What's the difference between Fourier series and Fourier transform
26999,26999,How is pruning done in decision tree
27000,27000,What is maximum depth in decision tree
27001,27001,What is the difference between Min_samples_split and Min_samples_leaf
27002,27002,How do you know if a decision tree is accurate
27003,27003,How do you know if a sampling distribution is normal
27004,27004,What is the difference between a sampling distribution and a regular distribution
27005,27005,What are the limitations of reyleigh's method of dimensional analysis
27006,27006,What are limitations and applications of dimensional analysis
27007,27007,What is the principle of homogeneity of dimensions give any two limitations for its application
27008,27008,What is the range of gamma distribution
27009,27009,Is gamma distribution continuous
27010,27010,What algorithm is used for face recognition
27011,27011,Why is variable selection important
27012,27012,Which algorithm is used for variable selection
27013,27013,How do you explain main effect
27014,27014,How do you identify interaction effects
27015,27015,What does interaction mean in statistics
27016,27016,What does an interaction term do
27017,27017,What is another word for bandit
27018,27018,What is the opposite of bandit
27019,27019,What is the definition of the word bandit
27020,27020,What is another word for rogue
27021,27021,What is spectral density function in time series
27022,27022,What does spectral density mean
27023,27023,How is spectral density calculated
27024,27024,What is PSD analysis
27025,27025,What are spectral lines in astronomy
27026,27026,What problems can Ai cause
27027,27027,What is meant by AI
27028,27028,What is attention in neural network
27029,27029,What is Attention NLP
27030,27030,What is the predictor and response variables
27031,27031,What is predictors in regression
27032,27032,What is the independent variable in linear regression
27033,27033,What is the best clustering algorithm
27034,27034,Does standard error measure accuracy or precision
27035,27035,How do you find the precision of a measurement
27036,27036,What Is percent precision
27037,27037,How does standard deviation related to accuracy
27038,27038,Does standard deviation give a measure of accuracy or precision
27039,27039,Is Autoencoder deep learning
27040,27040,What is a good quantile measure
27041,27041,What is a discrete sample
27042,27042,What does a dummy variable do in linear regression
27043,27043,What is the expected value of a uniform distribution
27044,27044,What does it mean to be uniformly distributed
27045,27045,Are all z scores normally distributed
27046,27046,How do you use Z in a normal distribution table
27047,27047,What is a linear regression algorithm
27048,27048,What is gradient boosting decision tree
27049,27049,What is a boosted decision tree
27050,27050,Does Sklearn linear regression use gradient descent
27051,27051,Is gradient descent used in logistic regression
27052,27052,What is statistical Modelling in data science
27053,27053,Why do we need statistical models
27054,27054,What does a statistical model do
27055,27055,Is uniform distribution Exponential family
27056,27056,Is geometric distribution Exponential family
27057,27057,Is Cauchy distribution Exponential family
27058,27058,How does computer vision collect data
27059,27059,What do you mean by machine vision
27060,27060,What is the difference between neural network and brain
27061,27061,What is meant by test validity
27062,27062,How do you improve test validity
27063,27063,Can a test have good reliability but poor validity
27064,27064,How do you increase test retest reliability
27065,27065,How can reliability and validity be improved
27066,27066,What factors will influence test reliability
27067,27067,What does independent mean in statistics
27068,27068,What is the purpose of time series
27069,27069,What are the features of time series
27070,27070,What makes a histogram normal distribution
27071,27071,How do you draw a normal distribution curve on a histogram
27072,27072,What is image feature extraction
27073,27073,What is features in image processing
27074,27074,What's the meaning of features
27075,27075,What is a feature of an object in machine learning
27076,27076,Does median filtering truly preserve edges better than linear filtering
27077,27077,Can random forest be used for categorical variables
27078,27078,Is economics a data science
27079,27079,Is Econometrics A data analysis
27080,27080,How does the S Curve Work
27081,27081,What do we tag in POS tagging
27082,27082,Why POS tagging is important
27083,27083,What is NLTK Pos_tag
27084,27084,What is POS tagging used for
27085,27085,What is POS machine learning
27086,27086,Why is data visualization so important
27087,27087,Why is data visualization important to advanced analytics
27088,27088,What are some advantages of data visualization
27089,27089,How does visualizing data improve decision making
27090,27090,How does data help in decision making
27091,27091,What is the importance of visualization
27092,27092,What are the benefits of data visualization
27093,27093,Why is visualization so powerful
27094,27094,What is gradient descent linear regression
27095,27095,How do you calculate gradient descent in machine learning
27096,27096,What do you mean by LTI
27097,27097,How is LTI system calculated
27098,27098,What is linear time variant system
27099,27099,What is greedy policy
27100,27100,Do histograms show bimodal distribution of data
27101,27101,How does Gaussian mixture model work
27102,27102,What is attention mechanism in Lstm
27103,27103,Why is the control group not a controlled group
27104,27104,What are the disadvantages of a CVT transmission
27105,27105,Why is TensorFlow so popular
27106,27106,How do you use TensorFlow
27107,27107,What type of machine learning is TensorFlow and PyTorch
27108,27108,Is TensorFlow an API
27109,27109,What are pros of neural networks over computers Mcq
27110,27110,What is the advantages of neural network
27111,27111,How do you read a confounding variable
27112,27112,How do you statistically control a confounding variable
27113,27113,What does it mean when variables are confounded
27114,27114,Where we can use large numbers
27115,27115,What is the meaning of large numbers
27116,27116,What do support vector machines do
27117,27117,What is classification accuracy in machine learning
27118,27118,What is the meaning of classification
27119,27119,How do you do statistical Modelling
27120,27120,What is statistical Modelling and machine learning
27121,27121,What is AI and data analytics
27122,27122,What is AI Analytics
27123,27123,What is the difference between artificial intelligence and data analytics
27124,27124,What do you know about AI and analytics
27125,27125,Is the random variable discrete or continuous explain
27126,27126,What is a random variable choose the correct answer below
27127,27127,What is random variable X
27128,27128,What does X mean in probability
27129,27129,Is height a discrete random variable
27130,27130,Is shoe size a discrete variable
27131,27131,What are bagging algorithms
27132,27132,What is bootstrapping machine learning
27133,27133,How does bagging help in designing better classifiers
27134,27134,How is random forest different from bagging
27135,27135,What does symbol X mean
27136,27136,What is a function of X mean
27137,27137,What is the x value in a function
27138,27138,What is experimental and theoretical probability
27139,27139,What is experimental probability used for
27140,27140,How is experimental probability used to make predictions
27141,27141,Where do we use probability in real life
27142,27142,Will the experimental probability of an event stay the same
27143,27143,How do you calculate the experimental probability
27144,27144,What are the disadvantages of algorithm
27145,27145,How does algorithm affect us
27146,27146,How does attention network work
27147,27147,How do you calculate rate of diffusion
27148,27148,How do you choose the correct type of regression analysis
27149,27149,Why do we use statistical models
27150,27150,What is the object of statistical Modelling
27151,27151,What is p value formula
27152,27152,What does the P value mean in at test
27153,27153,What does simple linear regression tell you
27154,27154,What is regression analysis in simple terms
27155,27155,What is important in regression analysis
27156,27156,Why is a multiple regression used
27157,27157,What is inference AI
27158,27158,What are the different forms of data pre processing
27159,27159,Can a random sample be biased
27160,27160,What is the difference between a random sample and a biased sample
27161,27161,What are the conditions for validity of chi square test
27162,27162,Which of the following states a key limitation of the chi square test for a population variance
27163,27163,Does Chi Square assume normal distribution
27164,27164,What types of variables are needed to perform a chi square test
27165,27165,What are the assumptions of the chi square test
27166,27166,What are experimenter effects
27167,27167,How do you find the expected value in a chi square test of independence
27168,27168,How do you find the p value in a chi square test
27169,27169,Why random forest is better than naive Bayes
27170,27170,When should you use naive Bayes
27171,27171,Where naive Bayes can be used
27172,27172,What is term frequency in NLP
27173,27173,What are the 2 parts of a hypothesis
27174,27174,What is the difference between predictive and prescriptive data analytics
27175,27175,How do you do Prescriptive Analytics
27176,27176,What can prescriptive analytics tell us
27177,27177,What is needed for Z test
27178,27178,How are neural networks formed
27179,27179,How do you know if a word problem is linear or exponential
27180,27180,What are the two types of growth models
27181,27181,What is the shape of the growth curve
27182,27182,What is the easiest way to calculate correlation coefficient
27183,27183,What is simple correlation coefficient
27184,27184,How do you find the correlation coefficient on a scatter plot
27185,27185,How do you calculate standard error of residuals
27186,27186,What is residual standard error and degrees of freedom
27187,27187,What's the difference between standard error and residual
27188,27188,How do you interpret residuals
27189,27189,What is residual how it is calculated
27190,27190,How do you interpret residual standard error
27191,27191,What do residual values mean
27192,27192,Why is it important for learners to generalize new behavior so they can then add it to their behavioral repertoire so they can use it in a meaningful way across different situations so they can show how much they learned in Aba so they
27193,27193,What is a task analysis quizlet
27194,27194,What is a left tailed test
27195,27195,What is a two tailed test in statistics
27196,27196,How do I get started in data analysis
27197,27197,How long does it take to learn data analysis
27198,27198,What is the best way to learn data analysis
27199,27199,What sampling method is used for surveys
27200,27200,What do you mean by sample survey
27201,27201,What is the best sampling technique to use for determining
27202,27202,What is objective of a sample survey
27203,27203,Why is covariance divided by n 1
27204,27204,What is the percentage of normal distribution
27205,27205,What does the harmonic mean tell us
27206,27206,How harmonic mean is different from arithmetic mean
27207,27207,How do you evaluate a classifier performance
27208,27208,What is the measure of performance for classification
27209,27209,What is the margin of error for a 99 confidence interval
27210,27210,How do you analyze a text
27211,27211,Which of the following is a text mining technology
27212,27212,What is unsupervised image classification
27213,27213,What does a negative constant coefficient mean
27214,27214,What does Randomised control trial mean
27215,27215,Is data science necessary for machine learning
27216,27216,How Data Science is related to machine learning
27217,27217,Is data science related to artificial intelligence
27218,27218,Is random forest used for regression
27219,27219,What is imbalanced data
27220,27220,What is the formula for uniform distribution
27221,27221,What is the formula for calculating the mean of a probability distribution
27222,27222,What is the mean of uniform distribution
27223,27223,What is the mean and variance of uniform distribution
27224,27224,What does U 0 1 mean
27225,27225,What do we mean by representation
27226,27226,What's the difference between Gaussian mixture model and K means
27227,27227,What does K stand for in K means
27228,27228,What is EM algorithm in machine learning
27229,27229,What is the purpose of identifying the similarity between the words in the documents
27230,27230,What is the scope of deep learning
27231,27231,What is Anova and why is it used
27232,27232,What is the classification accuracy
27233,27233,How do you find the accuracy of an algorithm
27234,27234,How do you choose classification algorithm
27235,27235,What are generalization strategies
27236,27236,What is generalization error in SVM
27237,27237,What is generalization error in terms of SVM
27238,27238,How do I figure out a weighted grade
27239,27239,How is weighted GPA calculated
27240,27240,How do you calculate weighted scores
27241,27241,How is weighted average rating calculated
27242,27242,What does logarithmic mean
27243,27243,Is logarithmic the same as exponential
27244,27244,What is meant by regression Modelling
27245,27245,Which are regression models
27246,27246,What is an outgroup in sociology
27247,27247,What is an outgroup quizlet
27248,27248,What are Ingroups and Outgroups
27249,27249,What is outgroup in sociology
27250,27250,Why do we use decision tree classifier
27251,27251,How does decision tree classification work
27252,27252,What does a decision tree do
27253,27253,What is basis of inductive learning bias in decision tree
27254,27254,What is a univariate data
27255,27255,What is Bayesian probability how is it used in research Brainly
27256,27256,What is Bayesian probability how is it used in research quizlet
27257,27257,What is the difference between population variance and standard deviation
27258,27258,Is variance a standard deviation
27259,27259,How do you find population standard deviation
27260,27260,What is the standard deviation formula for a sample vs population
27261,27261,Is standard deviation a statistic or parameter
27262,27262,Is standard deviation sample or population
27263,27263,What is unsupervised method
27264,27264,What is the dataset that is used to evaluate a machine learning algorithm called
27265,27265,How do you swap variables
27266,27266,How do artificial neurons work
27267,27267,Why do we use artificial neural networks
27268,27268,What is Perceptron network
27269,27269,What is embedding learning
27270,27270,What will be the size of learned word Embeddings
27271,27271,What is meant by the concept of correlation
27272,27272,Who gave the concept of correlation
27273,27273,Is keras installed with TensorFlow
27274,27274,How do I use keras from TensorFlow
27275,27275,How do you interpret lift in association rules
27276,27276,What is support in data mining
27277,27277,What does Joint mean in statistics
27278,27278,What is meant by harmonic mean
27279,27279,What is the formula of harmonic sequence
27280,27280,What is spatial correlation in statistics
27281,27281,How do you find the p value in hypothesis testing
27282,27282,What is the p value of a test of a null hypothesis
27283,27283,How do models fit into data
27284,27284,Which regression model best fits the data set 2 13/4 8
27285,27285,What type of model best fits the data
27286,27286,How do you find the best fit regression model
27287,27287,What are data analysis tools and techniques
27288,27288,What is residual standard error
27289,27289,Is residual standard error same as RMSE
27290,27290,Is residual standard error sigma or sigma squared
27291,27291,What does F distribution look like
27292,27292,How do you describe the strength of a correlation
27293,27293,What are the characteristics of correlation
27294,27294,What is the difference between a multinomial goodness of fit test and a test for independence
27295,27295,How do you compare two population means
27296,27296,What is the purpose of interpolation
27297,27297,What is linear interpolation used for
27298,27298,When should you interpolate
27299,27299,What is sampling and sample size
27300,27300,What is the difference between sample size and sample frame
27301,27301,What does a sample size mean
27302,27302,What is sample size and population
27303,27303,What are the basic principles of learning
27304,27304,What are the different biases
27305,27305,Which of the following is an example of preference bias
27306,27306,What is inductive bias in decision tree
27307,27307,Which of the following is a low pass filter
27308,27308,How the low pass filter can be converted into high pass filter
27309,27309,How does an inductor act as a filter
27310,27310,What is inductor and how it works
27311,27311,How do you ensure data is normally distributed
27312,27312,How do you solve normal distribution problems
27313,27313,What is non stationary signal
27314,27314,Why image preprocessing is required
27315,27315,What are the preprocessing technique used for image processing
27316,27316,How do you make a face recognition camera
27317,27317,How do you find mutual information
27318,27318,What does it mean if data is stationary
27319,27319,Why random walk is not stationary
27320,27320,What is trend stationary process and difference stationary process
27321,27321,What is LDA and PCA
27322,27322,Is random forest used for classification
27323,27323,Why do we classify the random forest
27324,27324,Is Random Forest a statistical model
27325,27325,How do you do a log rank in SPSS
27326,27326,Why are the eigenvalues of a Hermitian matrix real
27327,27327,How do you prove a matrix is hermitian
27328,27328,What is skew symmetric matrix with example
27329,27329,What is real skew symmetric matrix
27330,27330,How do you determine the null and alternative hypothesis
27331,27331,How do you specify the null hypothesis
27332,27332,What is a low R squared value
27333,27333,Should R Squared be high or low
27334,27334,Why randomized controlled trials is the gold standard
27335,27335,Is 400 a good sample size
27336,27336,What is the formula for effect size
27337,27337,What is effect size in RCT
27338,27338,How is effect size affected by sample size
27339,27339,What is stochastic behavior
27340,27340,What is sampling error class 11
27341,27341,Why is sampling error a problem in research
27342,27342,What is difference between universe and sampling
27343,27343,What is meant by universe or population
27344,27344,What is the difference between Universe and Sample Class 11
27345,27345,What is the differences between population and sample
27346,27346,How do you define sampling
27347,27347,What defines a simple random sample
27348,27348,What is the mean of a probability density function
27349,27349,How do you find the mean of a probability function
27350,27350,How do you find the median of a probability density function
27351,27351,What is the median of a probability density function
27352,27352,What is the output of a probability density function
27353,27353,What does probability density tell us
27354,27354,Is density a probability
27355,27355,Why is generating pattern important in problem solving
27356,27356,How do patterns contribute to an understanding of counting and mathematical concepts
27357,27357,How are patterns help to model real world problems
27358,27358,Why is it important to recognize patterns
27359,27359,What is pattern recognition how it is helpful
27360,27360,Why is pattern recognition important in ideation
27361,27361,Where is pattern recognition used
27362,27362,What is Kendall's tau used for
27363,27363,What is Spearman correlation used for
27364,27364,How do you interpret the Spearman correlation
27365,27365,What is the use of rank correlation
27366,27366,When would Median be better than mean
27367,27367,What is the advantage of median over mean
27368,27368,When would you use median in real life
27369,27369,When should you use mean median or mode
27370,27370,Why is taking an average better
27371,27371,Why is average of averages wrong
27372,27372,Which helps SVM to implement the algorithm in high dimensional space
27373,27373,What is SVM
27374,27374,What are the types of implicit bias
27375,27375,How do you describe a descriptive statistics table
27376,27376,What is inferential statistics in statistics
27377,27377,What are inferential statistics used for quizlet
27378,27378,What's the difference between inferential and descriptive statistics
27379,27379,How can you compare the efficiency of two algorithms
27380,27380,How do we compare algorithms which solve the same problem
27381,27381,What determines the efficiency of an algorithm
27382,27382,Why should an algorithm be efficient
27383,27383,How do you measure the efficiency of an algorithm
27384,27384,Which of the following factors determine the efficiency of an algorithm
27385,27385,How can you improve performance of algorithm in terms of memory efficiency
27386,27386,How can you measure and increase the efficiency of an algorithm
27387,27387,What is efficiency with regards to algorithm performance
27388,27388,What are the two types of measurement error
27389,27389,Who is Randu
27390,27390,What are the 4 criteria for a binomial probability experiment
27391,27391,What is encoder and decoder in neural network
27392,27392,What is encoder in NLP
27393,27393,Why is the discount factor used in an MDP formulation
27394,27394,What unit does a voltmeter measure
27395,27395,Why do we use Gaussian filter
27396,27396,What is the difference between reference and Gaussian filter
27397,27397,How do you conduct systematic random sampling
27398,27398,Why are decision trees useful
27399,27399,What is model evaluation
27400,27400,How do you do multiple linear regression
27401,27401,What causes autocorrelation
27402,27402,What does Autocovariance mean
27403,27403,How do you interpret Multicollinearity
27404,27404,How do you interpret VIF values
27405,27405,What is classifier accuracy in data mining
27406,27406,What are the types of classification in data mining
27407,27407,What does perplexity measure
27408,27408,What is perplexity in topic modeling
27409,27409,How do NLP models work
27410,27410,Which NLP model gives best accuracy
27411,27411,How do you interpret a logistic regression analysis
27412,27412,How do you analyze a regression analysis
27413,27413,What is the purpose of correlation and regression analysis
27414,27414,What is correlation in analysis
27415,27415,Why is correlation analysis used
27416,27416,What is regression analysis research
27417,27417,What is forecasting in time series analysis
27418,27418,What is metric in machine learning
27419,27419,What is metadata in machine learning
27420,27420,How do you handle high dimensional data
27421,27421,What is beta inverse
27422,27422,Is a parameter a random variable
27423,27423,What is kernel in convolution neural network
27424,27424,What does explained variance tell you
27425,27425,What is variance score
27426,27426,What is total variance explained in factor analysis
27427,27427,What is proportion of variance explained
27428,27428,What percentage of variance is accounted for
27429,27429,How do you do a cluster analysis in SPSS
27430,27430,What is the prerequisite for hierarchical clustering
27431,27431,What is the purpose of using dropout
27432,27432,What is a negative hypothesis
27433,27433,What are some limitations of hypothesis testing
27434,27434,What are the advantages of hypothesis testing
27435,27435,What are the limitations of hypothesis
27436,27436,How do you minimize type I and type II errors
27437,27437,How do you improve hypothesis
27438,27438,Can the chi square distribution be negative
27439,27439,Can a critical value for the Chi squaredχ2 test be negative explain
27440,27440,How do you determine if a function is differentiable
27441,27441,What are the requirements for a function to be differentiable
27442,27442,What is the function of zero indicator
27443,27443,What are different types of indicators
27444,27444,What are two examples indicators
27445,27445,How do you integrate a function within a function
27446,27446,What does it mean to integrate a function
27447,27447,What is the use of exponential distribution
27448,27448,What does the probability distribution indicate
27449,27449,Why do we need distribution in statistics
27450,27450,What does stationary mean in time series
27451,27451,How many layers are there in artificial neural network
27452,27452,What is hidden layers in neural network
27453,27453,Why neural networks have multiple layers
27454,27454,What does a bell curve tell you
27455,27455,What does the bell curve tell us
27456,27456,What is bimodal situation
27457,27457,What may be the reason for the bimodal distribution explain
27458,27458,Why are two meaningful parts of a bimodal distribution often searched for
27459,27459,Does a bimodal distribution have two means
27460,27460,What can we learn from frequency distribution
27461,27461,What is the value of the test statistic
27462,27462,How do you find the standardized test statistic Z
27463,27463,What is meant by binning
27464,27464,Why do we use binning
27465,27465,Why do we do binning
27466,27466,What is slope and intercept in regression
27467,27467,What is intercept in correlation
27468,27468,What is intercept and slope in regression
27469,27469,What does the P value of the intercept mean
27470,27470,What is intercept in regression
27471,27471,What is intercept in Excel
27472,27472,What is the intercept in a multiple regression model
27473,27473,What is the intercept in a regression equation
27474,27474,What is Ŷ
27475,27475,What is the symbol for linear regression
27476,27476,What are popular deep learning frameworks
27477,27477,What is Regularisation parameter tells in SVM
27478,27478,What is gamma parameter tells in SVM
27479,27479,How can statistics can be misleading
27480,27480,How statistics can be misleading TED talk
27481,27481,Why do we need kernel
27482,27482,What unit is n KG
27483,27483,How do you convert n to KG
27484,27484,Is Newtons in kg or g
27485,27485,What unit is kg m2
27486,27486,Is kg/m2 s2 a unit of energy
27487,27487,Is KG m2 s3 a unit of power
27488,27488,What is the meaning of KG m2
27489,27489,What does a neural network predict
27490,27490,What is neural network method
27491,27491,How can an artificial neural network be applied in forecasting
27492,27492,What is T interval used for
27493,27493,How do you calculate quartile deviation
27494,27494,Why do we calculate quartile deviation
27495,27495,What is assertion rule mining in DBMS
27496,27496,Why do we use vectors
27497,27497,What does a vector indicate
27498,27498,How is classification analysis used
27499,27499,What is classification in data analysis
27500,27500,What is classification method
27501,27501,What is Anova formula
27502,27502,How do you do one step dimensional analysis
27503,27503,Why do we need to convert from one unit of measure to another
27504,27504,What is correlation r in statistics
27505,27505,What is correlation calculations
27506,27506,How do you find the relationship between two variables
27507,27507,How do you find the correlation matrix in R
27508,27508,How do you plot a correlation matrix in R
27509,27509,What is ML time series
27510,27510,What is the PDF of X
27511,27511,What is RBF
27512,27512,What is linear kernel
27513,27513,What is the difference between independent and dependent variable examples
27514,27514,How do we define a sample space
27515,27515,What is the formula for sample space
27516,27516,How do you interpret logit results
27517,27517,Is logit the same as logistic regression
27518,27518,How do you calculate log odds in logistic regression
27519,27519,How do you Exponentiate log odds
27520,27520,What are logged odds
27521,27521,Why do we compute the variance rather than the standard deviation
27522,27522,What is considered a high F value
27523,27523,What does a high F value mean in Anova
27524,27524,What is dissimilarity matrix in data mining
27525,27525,What is the function role of Quantiles in probability and statistics
27526,27526,What is a good quantile score
27527,27527,What does quantile interval mean
27528,27528,What is a high quantile score
27529,27529,What is 1st quantile
27530,27530,Is median a quantile
27531,27531,What does stratified sample mean
27532,27532,Should I report standardized or unstandardized regression coefficients
27533,27533,How do you interpret standardized and unstandardized coefficients
27534,27534,How do you interpret standardized regression coefficients
27535,27535,What does regression equation tell us
27536,27536,What does a beta coefficient of 0.5 mean in multiple regression
27537,27537,How do you interpret multiple linear regression coefficients
27538,27538,What is the rule for identifying outliers
27539,27539,What are the disadvantages of positive reinforcement
27540,27540,How do you find the median of a sample
27541,27541,What is the difference between mean and median age
27542,27542,Should I learn both TensorFlow and PyTorch
27543,27543,What is the major difference between multivariate testing and a B testing
27544,27544,What is AB on a test
27545,27545,What is the definition of probability in statistics
27546,27546,Can we use SVM for prediction
27547,27547,What is mean deviation about median
27548,27548,What is the formula of mean deviation about mean
27549,27549,Can you calculate mean from median
27550,27550,How do you find mean median and standard deviation
27551,27551,What is the median deviation
27552,27552,How do you find median and standard deviation
27553,27553,How do you find the decision rule in Excel
27554,27554,What is a correct decision in statistics
27555,27555,What are the decision rules in hypothesis testing
27556,27556,What is the decision rule when using the P value approach to hypothesis testing
27557,27557,What does a negative correlation coefficient mean
27558,27558,How do you interpret a negative correlation
27559,27559,What does a negative R value mean
27560,27560,What is an example of a positive correlation
27561,27561,How do you conduct a randomization test
27562,27562,Why is randomization important in stats
27563,27563,What is a randomization sample
27564,27564,Are randomization tests Parametric
27565,27565,What is LBPH algorithm
27566,27566,How is local binary pattern calculated
27567,27567,Which is the best face recognition algorithm
27568,27568,What is the LBP
27569,27569,What is LBP feature extraction
27570,27570,What is second moment in statistics
27571,27571,What is a negative binomial random variable
27572,27572,What is the difference between a binomial random variable and a geometric random variable
27573,27573,What is the difference between normal distribution and binomial distribution
27574,27574,How do you differentiate a binomial distribution
27575,27575,Can we use gradient descent for logistic regression
27576,27576,What are action words examples
27577,27577,How do you control sampling and nonsampling errors
27578,27578,How can sampling error be controlled
27579,27579,How do you reduce sampling error
27580,27580,What affects sampling error
27581,27581,What is Y hat in linear regression
27582,27582,What is Y in the regression equation
27583,27583,How do you find the Y cap in regression
27584,27584,What is Y hat in statistics
27585,27585,What does it mean if the Y intercept is negative
27586,27586,What happens to standard deviation when mean increases
27587,27587,Is standard deviation from the mean or median
27588,27588,What is difference between correlation and regression
27589,27589,What is difference between correlation and correlation coefficient briefly describe
27590,27590,What is regression in statistics PDF
27591,27591,What is the difference between regression and correlation in statistics
27592,27592,What is correlation and linear regression
27593,27593,How do you find the consistency of data in statistics
27594,27594,What is expandable AI
27595,27595,How does explainable AI work
27596,27596,What is the explainable AI and why is important
27597,27597,Which case would benefit from explainable AI principles Accenture
27598,27598,What is black box in machine learning
27599,27599,What is the importance of metrics
27600,27600,What do metrics mean
27601,27601,What is a high likelihood ratio
27602,27602,How do you do likelihood ratios
27603,27603,What is pooling in networking
27604,27604,What is a lurking variable in statistics
27605,27605,How do you avoid lurking variables
27606,27606,What does a lurking variable mean
27607,27607,How do you identify a lurking variable
27608,27608,What is the difference between a lurking variable and a confounding variable
27609,27609,What problems can lurking variables cause
27610,27610,What is the difference between spatial and temporal
27611,27611,What do you mean by data mining
27612,27612,What is spatial database in data mining
27613,27613,What is mean by spatial data
27614,27614,What are the different types of spatial data mining
27615,27615,What is the difference between spatial variability and temporal variability
27616,27616,What does spatial variability mean
27617,27617,What is the impact of measurement error on assessment
27618,27618,What consequences result from inaccurate measurements
27619,27619,What is the relationship between reliability and standard error of measurement
27620,27620,What is reliability and how can I increase the reliability of my measurement
27621,27621,What does a box plot show
27622,27622,Is P value 0.05 Significant
27623,27623,What is the difference between P value and critical value
27624,27624,What is the P value approach
27625,27625,What is the p value used for
27626,27626,What are some limitations of probability testing
27627,27627,Why is the P value bad
27628,27628,How do you find the linear regression in R
27629,27629,What is a predicted value in regression
27630,27630,How do you interpret R in regression
27631,27631,What does the R value tell you about the regression model for the data
27632,27632,Is t test descriptive or inferential
27633,27633,Which situation is an example of using inferential statistics
27634,27634,What is the difference between inferential statistics and descriptive statistics
27635,27635,Why do we use descriptive statistics
27636,27636,How do you calculate information ratio
27637,27637,What does the information ratio measure
27638,27638,Is linear regression a classifier
27639,27639,Can a logistic regression classifier work perfectly on a non linear data
27640,27640,What is the purpose of a B testing
27641,27641,Who uses a B testing
27642,27642,What is a hypothesis of difference
27643,27643,What are different types of hypothesis testing
27644,27644,How do you tell if the output is a function of the input
27645,27645,How do you know if a study is reliable
27646,27646,What are the criteria to evaluate the performance of an algorithm
27647,27647,Where can I practice algorithms and data structures
27648,27648,How do you convert sample standard deviation to population standard deviation
27649,27649,What is the estimated population standard deviation
27650,27650,How do you find the population with the mean and standard deviation
27651,27651,What is instance in machine learning
27652,27652,What are message queues used for
27653,27653,Why do we need a messaging system
27654,27654,How do you know if entropy is positive or negative
27655,27655,What is positive entropy
27656,27656,What is the difference between a neuron and a nerve BBC Bitesize
27657,27657,What does chunking mean in memory
27658,27658,What is chunking in learning
27659,27659,How can chunking improve memory
27660,27660,What is NLTK in NLP
27661,27661,WHY A * is better than best first search
27662,27662,Why we use A * algorithm
27663,27663,What does spatiotemporal mean
27664,27664,What does temporal variation mean
27665,27665,What is linear time
27666,27666,Is 0.1 A weak correlation
27667,27667,How do you choose the best activation function
27668,27668,How do you start an analysis sentence
27669,27669,How do you write an analysis
27670,27670,What is the difference between AI and ML
27671,27671,What is the purpose of a hashing algorithm
27672,27672,Why we use hashing in data structure
27673,27673,Why is hashing important
27674,27674,Where is hash algorithm used
27675,27675,How do you find theoretical probability
27676,27676,Can experimental and theoretical probability be the same
27677,27677,How do you find the experimental probability of rolling a 6
27678,27678,What is a Bayesian statistical model
27679,27679,What is representative sample
27680,27680,What is the difference between a sample and a representative sample
27681,27681,What is representative sample and its indication for audit sample
27682,27682,What is the definition of a representative sample
27683,27683,What is the most representative sampling method
27684,27684,What is a representative sample in statistics
27685,27685,What is representativeness in statistics
27686,27686,What are the different types of sampling errors
27687,27687,What are the sources of errors in survey
27688,27688,What are the sources of statistical errors
27689,27689,What does λ mean
27690,27690,What is lambda value
27691,27691,What is lambda calculus used for
27692,27692,Which function is used to implement median filter
27693,27693,What are the common ways of implementing machine learning
27694,27694,When should you use deep learning
27695,27695,What is decision tree in big data
27696,27696,What is a decision tree called
27697,27697,What is the use of sigmoid function in logistic regression
27698,27698,What is sigmoid activation
27699,27699,What does the slope mean in regression analysis
27700,27700,How do you know if a slope is positive or negative
27701,27701,What does it mean to interpret the slope and y intercept
27702,27702,How do you interpret a slope in statistics
27703,27703,What does intelligence really mean
27704,27704,Whats the meaning of intelligent
27705,27705,What is the difference between active noise Cancelling and adaptive noise Cancelling
27706,27706,What is adaptive noise Cancelling
27707,27707,How do you find the sample size for non probability sampling
27708,27708,What are the characteristics of frequency distribution
27709,27709,How do you approximate the mean of a frequency distribution
27710,27710,How are frequency distributions used to describe and explore data sets
27711,27711,What does relative frequency measure
27712,27712,What is clustering and association in unsupervised learning
27713,27713,What is association analysis
27714,27714,What is clustering and association
27715,27715,What is the CNN model
27716,27716,How many layers are there in CNN
27717,27717,How can case control study prevent selection bias
27718,27718,What is selection bias in case control studies
27719,27719,What is a standardized normal distribution
27720,27720,What is the difference between Bayesian and frequentist
27721,27721,Is Bayesian a machine learning
27722,27722,What is the difference between frequentist and Bayesian
27723,27723,Why feature scaling is important before applying K means algorithm
27724,27724,How do you calculate Fisher's exact test
27725,27725,What does Fisher's exact test tell you
27726,27726,What is a neural network and how does it work
27727,27727,What is hog feature in image processing
27728,27728,What Isconvolutional neural network
27729,27729,What are vanishing and exploding gradient problems
27730,27730,What is K nearest neighbors algorithm in machine learning
27731,27731,What are the different steps in K nn
27732,27732,How do you show a function is an eigenfunction of an operator
27733,27733,What do you mean by eigenvalue and eigenfunction
27734,27734,What is meant by conditional probability
27735,27735,Is P a/b same as P B A
27736,27736,What does P B A mean
27737,27737,What is P A and B in probability
27738,27738,What does az score mean in statistics
27739,27739,Is Z score the same as variance
27740,27740,What are the normal curve in statistics
27741,27741,What characterizes a standard normal distribution
27742,27742,What is the meaning of normal curve
27743,27743,What is the other term for the normal curve
27744,27744,How do you construct a normal curve
27745,27745,How do you draw a normal distribution curve in Word
27746,27746,How do you draw a probability curve
27747,27747,What is unsupervised learning give examples of unsupervised learning tasks
27748,27748,How do you find the local maximum and minimum
27749,27749,Which filters are called order statistic filters
27750,27750,Which of the following filters response is based on ordering of pixels
27751,27751,Is Gan unsupervised learning
27752,27752,What does midrange mean
27753,27753,What is the midrange and how is it obtained
27754,27754,How do you find mid range
27755,27755,What is Data Transformation give example
27756,27756,What are the types of data transformation
27757,27757,What does P A or B mean in statistics
27758,27758,How do you calculate PA and B to C
27759,27759,How do you calculate a given B
27760,27760,How do you evaluate Gan
27761,27761,Is logistic regression AI
27762,27762,Why is there no error term in logistic regression
27763,27763,What is the difference between parametric and non parametric data
27764,27764,Is Collinearity the same as correlation
27765,27765,How do you test for Collinearity
27766,27766,How do you detect Multicollinearity in a correlation matrix
27767,27767,How do you calculate the expected value of a random variable quizlet
27768,27768,What is the equation for expected value
27769,27769,Is independent uncorrelated
27770,27770,How can you tell if variables are independent
27771,27771,What are uncorrelated variables
27772,27772,How do you know if two variables are dependent
27773,27773,Are normal distributions linear
27774,27774,What is the purpose of continuous wavelet transform
27775,27775,What is meant by wavelet transform
27776,27776,What is the value of the test statistic Z
27777,27777,How do you interpret the t statistic
27778,27778,What does a z score tell us about the position of a data value
27779,27779,What is factor analysis test
27780,27780,How is variance ratio calculated
27781,27781,What is ratio of variance
27782,27782,What is the variance ratio test
27783,27783,How do you find the variance of two variables
27784,27784,What does F test do
27785,27785,Does hide know kaneki is a ghoul
27786,27786,Does Sasaki know he's a ghoul
27787,27787,What does log normal mean
27788,27788,What is a log return
27789,27789,Are returns normally distributed
27790,27790,What does entropy measure
27791,27791,How do you use central idea in a sentence
27792,27792,What does Central mean in a sentence
27793,27793,What does it mean if something is central
27794,27794,What is an environment in artificial intelligence
27795,27795,What is brain plasticity and how does it work
27796,27796,Is normal curve and normal distribution the same
27797,27797,Why is normal distribution called normal
27798,27798,Does a normal distribution describe asset returns
27799,27799,What does Error Expected mean
27800,27800,What is the value of standard error
27801,27801,What is the key difference between one way Anova and t test
27802,27802,Which tests that the group means are a better fit of the data than the grand mean
27803,27803,Is the one way Anova test robust quizlet
27804,27804,Which filter is useful for noise reduction
27805,27805,How do you write a discrete probability distribution
27806,27806,What do you mean by discrete probability distribution
27807,27807,Which conditions are used for applying chi square test
27808,27808,What does the chi square value mean
27809,27809,What are the challenges of big data
27810,27810,What is a dataset in spark
27811,27811,What is difference between dataset and DataFrame in spark
27812,27812,What is the difference between RDD and DataFrame and dataset
27813,27813,What is difference between RDD DataFrame and dataset
27814,27814,Why do we use DataFrame
27815,27815,Can artificial intelligence replace human being
27816,27816,Can artificial intelligence take over human intelligence
27817,27817,What are the types of experiments in statistics
27818,27818,How do you create a statistical experiment
27819,27819,What is the criteria to decide that which algorithm is best
27820,27820,How do you determine if one algorithm is better than another
27821,27821,What does it mean for an algorithm to be efficient
27822,27822,What is effectiveness in algorithm
27823,27823,What is the purpose of a correlation
27824,27824,What is a correlation test used for
27825,27825,What is normal cumulative distribution
27826,27826,How do we interpret a dummy variable slope coefficient
27827,27827,What is a dummy variable in linear regression
27828,27828,What are dummy variables used for
27829,27829,How do you do dummy variable regression
27830,27830,What is dummy coding used for
27831,27831,What is a dummy variable in regression
27832,27832,What does dummy code mean
27833,27833,What is naive Bayes algorithm in machine learning
27834,27834,Is naive Bayes machine learning
27835,27835,How do you analyze odds ratio in SPSS
27836,27836,What is the interval of a histogram
27837,27837,How do you find the median and interval on a histogram
27838,27838,How do you find the interval of data
27839,27839,Do histograms use intervals
27840,27840,What does a histogram not show
27841,27841,How do you find the interval in a frequency table
27842,27842,What can you use TensorFlow for
27843,27843,How do you read ratios
27844,27844,What is meant by neural
27845,27845,What is meant by real time processing give an example
27846,27846,What is batch time processing
27847,27847,What do u mean by real time
27848,27848,What is another word for real time
27849,27849,What is real time example
27850,27850,What are real time services
27851,27851,How do you remember precision and accuracy
27852,27852,How do you explain precision and recall
27853,27853,How do you remember the difference between sensitivity and specificity
27854,27854,What is the formula in determining the minimum sample size needed in estimating the population mean
27855,27855,When estimating the population mean with a small sample the T distribution may be used with how many degrees of freedom
27856,27856,When estimating a population mean when should you use a t distribution and when should you use a Z distribution
27857,27857,How do you calculate population standard deviation
27858,27858,How do you find the standard deviation of a sample standard deviation
27859,27859,Is sample mean same as population mean
27860,27860,Is IQ an interval
27861,27861,What type of variable is IQ
27862,27862,Is age an interval scale
27863,27863,What is L1 and L2 electrical
27864,27864,What is clustering problem explain Birch clustering algorithm
27865,27865,What is finally produced by hierarchical clustering
27866,27866,What is cost function in machine learning
27867,27867,What happens in the case of binocular disparity
27868,27868,What causes eye depth perception problems
27869,27869,Is binocular disparity the same as retinal disparity
27870,27870,What is difference between set and multiset
27871,27871,Which of the following machine learning algorithm is more applicable for continuous data
27872,27872,What is goal stack planning in AI
27873,27873,What are the planning techniques in AI
27874,27874,What is planning system in AI
27875,27875,How is feature extraction done in NLP
27876,27876,What is probability mass function and density function
27877,27877,How do you combine probabilities for independent events
27878,27878,Is the product of two normal distributions normal
27879,27879,What is the correct truth table for p q
27880,27880,What does a regression test tell you
27881,27881,Why is regression testing necessary
27882,27882,What does a linear regression test tell you
27883,27883,What are input values called
27884,27884,How do you find the input value
27885,27885,Is linear regression part of machine learning
27886,27886,How do you use a gradient filter
27887,27887,How do you work out the gradient of an image
27888,27888,What is gradient in image processing
27889,27889,What is gradient computation equation
27890,27890,What is gradient magnitude
27891,27891,How does a Sobel filter work
27892,27892,What does skewed left mean
27893,27893,What does skewed left mean on a histogram
27894,27894,What are network ACL
27895,27895,What are the key differences between a default security group and a custom security group
27896,27896,What is NSG in AWS
27897,27897,What is NACLs
27898,27898,When would it be appropriate to use network ACLs
27899,27899,Why is security group stateful
27900,27900,How do you create a text classifier
27901,27901,What is NLP data
27902,27902,How do I normalize text data
27903,27903,What is deep learning in text classification
27904,27904,What is the distance between two vectors
27905,27905,How do you find the similarity of two matrices
27906,27906,What does it mean for 2 matrices to be similar
27907,27907,How do you calculate similarity percentage
27908,27908,Are neural networks AI
27909,27909,What is the meaning of parametric
27910,27910,What is parametric test example
27911,27911,What do you mean by calibration
27912,27912,What do you understand by calibration explain with clear example
27913,27913,What is calibration and its types
27914,27914,What is calibration method
27915,27915,What is calibration used for
27916,27916,What is covariance used for
27917,27917,What is the variance covariance matrix used for
27918,27918,Why would you prefer the correlation to the covariance
27919,27919,Is covariance variance squared
27920,27920,What do you mean by simple regression
27921,27921,How do you find the odds ratio in logistic regression in SPSS
27922,27922,What is the formula for calculating odds ratio
27923,27923,What is the meaning of information gap
27924,27924,What is information gap principle
27925,27925,What is knowledge gap theory
27926,27926,What does knowledge gap mean
27927,27927,What is decision making theory
27928,27928,What are the applications of expert system
27929,27929,What is input in machine learning
27930,27930,How do you connect model input data with predictions for machine learning
27931,27931,What is data point
27932,27932,What is a decomposition analysis
27933,27933,How was the trend cycle of the classical decomposition calculated
27934,27934,What is decomposition of time series called
27935,27935,What is association analysis in data mining
27936,27936,Is Norm a linear function
27937,27937,What is a sigma value
27938,27938,What is a 3 sigma value
27939,27939,What is the value of 1 standard deviation
27940,27940,How do you calculate 3 sigma
27941,27941,What confidence level is 3 sigma
27942,27942,What is the value of 4 sigma
27943,27943,Is 7 Sigma possible
27944,27944,What percent is 4 sigma
27945,27945,Is Six Sigma plus or minus 3 sigma
27946,27946,What percentage is 6 Sigma
27947,27947,What is a good sigma level
27948,27948,What is a good Six Sigma score
27949,27949,How do you interpret Sigma levels
27950,27950,Is a machine learning model an algorithm
27951,27951,What are the two requirements for a random variable
27952,27952,Is accuracy a loss function
27953,27953,Are decision trees prone to overfitting
27954,27954,Is scaling required for decision tree
27955,27955,How do you evaluate a decision tree model
27956,27956,How do you calculate distribution variance
27957,27957,How do you derive the variance of a binomial distribution
27958,27958,How do you find the variance of a binomial distribution in Excel
27959,27959,What is the difference between recursion and non recursion
27960,27960,What is recursive and non recursive system
27961,27961,What is the unbiased estimator of population mean
27962,27962,What is the point estimator of the population variance
27963,27963,How do you estimate the population mean
27964,27964,What is the difference between population variance and estimated population variance
27965,27965,What is the point estimate of the population variance
27966,27966,What is the area under ROC curve
27967,27967,How do you find the optimal threshold of a ROC curve
27968,27968,What is sampling PDF
27969,27969,What is a sample in machine learning
27970,27970,Why is sampling useful in machine learning
27971,27971,What are the different types of sampling
27972,27972,What is sampling discuss steps and types of sampling
27973,27973,What is data sampling
27974,27974,What did we call the sampling method of big data
27975,27975,Is XGBoost supervised or unsupervised
27976,27976,What is the purpose of predictive analytics
27977,27977,How do you know if something is causation or correlation
27978,27978,How do you know if something is correlated
27979,27979,How is correlation like causation
27980,27980,How do you establish causation in statistics
27981,27981,How can you prevent a decision tree from Overfitting
27982,27982,How can we stop random forest Overfitting
27983,27983,Which of the following is the equation for determining an expected value
27984,27984,How do you explain convenience sampling
27985,27985,What is the difference between convenience sampling and random sampling
27986,27986,Why is random sample better than convenience sample
27987,27987,Which type of sampling is more accurate
27988,27988,What is the difference between convenience and random sampling
27989,27989,Is convenience a sampling representative
27990,27990,Why is convenience sampling bias
27991,27991,What is the disadvantage of convenience sampling
27992,27992,Why is it called unscented Kalman filter
27993,27993,What is an example of a correlational study
27994,27994,What is receptive field in eye
27995,27995,Why are random samples important in statistics
27996,27996,What does randomness mean
27997,27997,Is hierarchical clustering good for huge data
27998,27998,What are some reasons for a false positive pregnancy test
27999,27999,Is positive percent agreement the same as sensitivity
28000,28000,What is mean by moving average
28001,28001,How do you do moving averages
28002,28002,What is moving average in Excel
28003,28003,On which type of data does the regression model works
28004,28004,What is regression analysis and why should I use it
28005,28005,What is regression analysis when would you use it what is the difference between simple regression and multiple regression
28006,28006,Does discrete data have a continuous scale
28007,28007,How do you make continuous data
28008,28008,What does it mean for data to be continuous
28009,28009,What makes data discrete or continuous
28010,28010,How do you solve a log square
28011,28011,Is logarithmic the same as square root
28012,28012,What is the value of log2
28013,28013,What does log2 mean
28014,28014,Is log2 the same as log
28015,28015,Is log base 10 or base 2
28016,28016,What is log to the base 2
28017,28017,What are the jobs in artificial intelligence
28018,28018,How do you increase location accuracy
28019,28019,How do you correct your location
28020,28020,Which type of system response to its input represents the zero value of its initial condition
28021,28021,What is discrete time system
28022,28022,Which of the following system represent recursive discrete system
28023,28023,How do you train a predictive model
28024,28024,Can you have two meta description tags
28025,28025,What is the opposite of Unequalled
28026,28026,What is the opposite of discrimination
28027,28027,What is the opposite of lowly
28028,28028,What is value iteration in reinforcement learning
28029,28029,What is the difference between value iteration and policy iteration methods in reinforcement learning
28030,28030,Is value iteration model based
28031,28031,What is validation set error
28032,28032,What is sequential search and binary search
28033,28033,Is sequential search and linear search same
28034,28034,What is selection sort in algorithm
28035,28035,What is correlation in image processing
28036,28036,What is spatial convolution
28037,28037,What is considered a good Kappa score
28038,28038,How does Overfitting affect predictions
28039,28039,What is the purpose of activation
28040,28040,What is the difference between covariation and correlation
28041,28041,What covariance matrix tells us
28042,28042,What does correlation matrix tell you
28043,28043,What is covariance in statistics
28044,28044,What is variance and covariance in statistics
28045,28045,What is a one way chi square test
28046,28046,What is the null hypothesis for a two way chi square test
28047,28047,What is the x2 value in Chi Square
28048,28048,Which of the following is a key difference between a chi square test of independence and an independent samples t test
28049,28049,Why does the test for homogeneity follow the same procedures as the test for independence
28050,28050,What is the application of chi square test
28051,28051,What is the meaning of chi square test
28052,28052,What does inference mean in the context of ML and DL
28053,28053,Which of the following is an application of the edit distance problem
28054,28054,Is the correlation coefficient The gradient of the regression line
28055,28055,Is coefficient the same as slope
28056,28056,Do correlation and slope have the same sign
28057,28057,Is regression coefficient and correlation coefficient the same
28058,28058,Is alteryx a data visualization tool
28059,28059,How do you test machine learning
28060,28060,What is the purpose of testing in machine learning
28061,28061,How do you measure ML
28062,28062,What is machine machine learning
28063,28063,What is Bayes risk
28064,28064,Who developed loss function
28065,28065,What does estimation mean
28066,28066,What is meant by estimate in statistics
28067,28067,Why Random Forest classifier is called an ensemble method
28068,28068,Can random forest be used for clustering
28069,28069,How do you create an ensemble model
28070,28070,How do you say Bayesian
28071,28071,How does excel calculate variance
28072,28072,What is the symbol for sample variance in statistics
28073,28073,What is the variance in statistics
28074,28074,Does sigma mean variance
28075,28075,How do you represent variance
28076,28076,What does a variance test tell you
28077,28077,How do you get the variance
28078,28078,What is equal variance in statistics
28079,28079,How do you know if population variances are equal
28080,28080,Is machine learning part of data mining
28081,28081,What is the relationship between AI and data mining
28082,28082,Is data mining part of machine learning
28083,28083,What is machine learning approach in data mining
28084,28084,What actually happens in the Matrix
28085,28085,In what order do I watch the Matrix
28086,28086,How do you disprove a null hypothesis
28087,28087,What is Fisher's exact test SPSS
28088,28088,What are the two ethical theories
28089,28089,What is the difference between descriptive and normative claims
28090,28090,What is the difference between descriptive and prescriptive normative ethics
28091,28091,What is the difference between univariate and multivariate Anova
28092,28092,When would you use Anova in data analysis
28093,28093,Why is regression to the mean important
28094,28094,What is fallacy examples
28095,28095,What are the properties of knowledge
28096,28096,What is not a property of knowledge representation
28097,28097,What does the standard score tell you
28098,28098,What is a high t statistic
28099,28099,What is binning in photography
28100,28100,What is pixel binning in camera
28101,28101,Why is the mean 0 and the standard deviation 1
28102,28102,What is the z score of any mean
28103,28103,What is considered a good Z score
28104,28104,How is Z score related to standard deviation
28105,28105,How do you find the Z score when given the mean and standard deviation on a TI 84
28106,28106,What are the methods used for data reduction in data mining
28107,28107,What is the purpose of applying a data reduction
28108,28108,What is data reduction in qualitative research
28109,28109,What is data reduction algorithm
28110,28110,Which method is suitable for data reduction
28111,28111,Which of the following method is used for data reduction
28112,28112,What is an NLP engine
28113,28113,How do you use exponential decay equation
28114,28114,How do you write an exponential decay model
28115,28115,How do you find exponential growth or decay
28116,28116,How do you find exponential decay
28117,28117,What is the decay rate formula
28118,28118,What is the decay equation
28119,28119,How do you calculate decay rate in Excel
28120,28120,What does decay rate mean
28121,28121,What is the meaning of absolute deviation
28122,28122,How do you find the absolute deviation
28123,28123,What is the difference between standard deviation and mean absolute deviation
28124,28124,Why is a large dataset better
28125,28125,How do large data sets work
28126,28126,Where can I find large datasets
28127,28127,Does OCR use machine learning
28128,28128,Is OCR considered AI
28129,28129,Does OCR use neural networks
28130,28130,What binned means
28131,28131,Which is the dependent variable in a function
28132,28132,What is high pass filter in image processing
28133,28133,What does a high pass filter do
28134,28134,How do you describe population in statistics
28135,28135,How do you tell if a population is normally distributed
28136,28136,What is the population distribution in statistics
28137,28137,Why is population distribution important
28138,28138,What is a filter in machine learning
28139,28139,What is filters in CNN
28140,28140,How do I select a filter on CNN
28141,28141,What statistical analysis should I use for questionnaires
28142,28142,Which statistical test should I use SPSS
28143,28143,What is the explanatory variable and the response variable
28144,28144,What is the difference between a response variable and an explanatory variable quizlet
28145,28145,What are random signals
28146,28146,Why random signals are used in simulation
28147,28147,What is random variable in signal and system
28148,28148,How is sample variance different from population variance
28149,28149,What is meant by KNN algorithm
28150,28150,Which variable is likely the explanatory variable and which is the response variable
28151,28151,What does an explanatory variable mean
28152,28152,What is the explanatory variable in an observational study
28153,28153,Which variable is also known as an explanatory variable
28154,28154,How does Gaussian process work
28155,28155,What is embedding in Python
28156,28156,What is embedding in neural networks
28157,28157,What is embedding layer in CNN
28158,28158,How do you find the probability in a frequency table
28159,28159,What is training error in decision tree
28160,28160,What are the issues in decision tree induction in machine learning
28161,28161,How do you find the independent variable in logistic regression
28162,28162,Can a dependent variable be binary
28163,28163,What is a binary logistic regression
28164,28164,What are the independent variables used in the modeling
28165,28165,What is smoothing filter
28166,28166,What is voting classifier in machine learning
28167,28167,What is majority voting in machine learning
28168,28168,What is bagging and pasting
28169,28169,How do you build ensemble models in machine learning
28170,28170,What makes a matrix linear
28171,28171,What is the use of Matrix in real life
28172,28172,Why do we use Matrix
28173,28173,What is the purpose of matrices
28174,28174,How does a matrix look like
28175,28175,How do you classify a matrix
28176,28176,How is global pooling average used
28177,28177,What does bimodal distribution tell us
28178,28178,Which of the following are active learning strategies
28179,28179,What are the learning strategy
28180,28180,What is an example of a univariate time series
28181,28181,What is a multivariate time series
28182,28182,Why is Knn nonlinear
28183,28183,Is Knn a regression model
28184,28184,Is Random Forest a linear classifier
28185,28185,Is K nearest neighbors a supervised machine learning algorithm
28186,28186,What is the singularity in AI
28187,28187,What is considered a good R squared value
28188,28188,What is a good R squared value in regression
28189,28189,What's another word for dimensional analysis
28190,28190,What is another name for analysis
28191,28191,What does Box's M test mean
28192,28192,What is discriminant data
28193,28193,What is a scalar or a vector
28194,28194,What is scalar quantity give two examples
28195,28195,Is an Anova a GLM
28196,28196,What is linear model in Anova
28197,28197,Can a normal distribution have two modes
28198,28198,Can bimodal distribution be skewed
28199,28199,How do you find equal variance
28200,28200,What does it mean when variances are equal
28201,28201,Does Data Transformation reduce variance
28202,28202,What is the naive Bayes assumption
28203,28203,What is naive in the naive Bayes classifier
28204,28204,What does a sampling distribution of the sample mean tell us
28205,28205,What is pattern in ML
28206,28206,What is pattern in data
28207,28207,What is isotropic tensor
28208,28208,What is Delta Matrix
28209,28209,What is the Dirac delta function used for
28210,28210,What is a Delta Matrix
28211,28211,What is Dirac delta function in physics
28212,28212,What generation is related to AI
28213,28213,Which generation computers are based on artificial intelligence
28214,28214,What are visualization techniques
28215,28215,What is data visualization used for
28216,28216,What is visualization techniques
28217,28217,What are the tools and techniques for data Visualisation
28218,28218,What are the types of data Visualisation
28219,28219,What is visualization explain
28220,28220,What is the best way to compare two sets of data
28221,28221,How do you know if two sets of data are statistically different
28222,28222,How do you compare two groups in statistics
28223,28223,How do you compare two test methods
28224,28224,How do I match two data frames in R
28225,28225,How are algorithms used in real life
28226,28226,What is an algorithm and why is it important
28227,28227,What is the importance of algorithms
28228,28228,What does sampling distribution tell us
28229,28229,Why is sampling distribution important in statistical inference
28230,28230,What is Gamma in reinforcement learning
28231,28231,What is Alpha in Q learning
28232,28232,Why do we control variables in an experiment
28233,28233,Which of the following is a characteristic of a multinomial experiment
28234,28234,Is D DX a Hermitian operator
28235,28235,Are residuals correlated
28236,28236,What are the characteristics of residuals
28237,28237,What is the mathematical tool that expresses a measure of the efficiency of algorithms
28238,28238,What are the features of an efficient algorithm explain with an example
28239,28239,What is the features of algorithm
28240,28240,How do you calculate the mode of grouped data
28241,28241,What if there are two modes in grouped data
28242,28242,What is nonuniform quantization
28243,28243,What are the advantages of non uniform quantizer over uniform quantizer
28244,28244,Why do we use non uniform quantization
28245,28245,Why non uniform quantization is needed
28246,28246,Is quantization linear
28247,28247,What are two types of quantization errors
28248,28248,What is KNN classifier in image processing
28249,28249,What is meant by KNN
28250,28250,Does simple random sampling require a frame
28251,28251,What is H Null
28252,28252,How is sense defined in WordNet
28253,28253,How is the MMSE test scored
28254,28254,How do you find the CDF of a uniform distribution
28255,28255,What is the CDF of a uniform distribution
28256,28256,How do you sample a Gaussian distribution in Python
28257,28257,How do you find class boundaries
28258,28258,How do you find the mode of a bimodal distribution
28259,28259,Is sample proportion unbiased
28260,28260,What makes a statistic unbiased
28261,28261,Why is standard deviation a biased estimator
28262,28262,How do you use the empirical rule
28263,28263,How do you use the empirical rule to solve problems
28264,28264,When can the empirical rule be applied
28265,28265,Do all normal distributions follow the empirical rule
28266,28266,Why does the empirical rule only work for data with normal distribution
28267,28267,How do you use the empirical rule with mean and standard deviation
28268,28268,Does the empirical rule apply to all data distributions
28269,28269,On which population distributions can the empirical rule be used
28270,28270,Why does sample size affect P value
28271,28271,Does increasing sample size increase P value
28272,28272,What causes a lower P value
28273,28273,Can a random variable be independent of itself
28274,28274,How do you determine if a variable is independent or dependent
28275,28275,When can you use Fisher's exact test
28276,28276,What is Fisher exact test in statistics
28277,28277,What is multiplicative law
28278,28278,Why is probability multiplied
28279,28279,What is state of art in machine learning
28280,28280,What is state of art in AI
28281,28281,What is SOTA machine learning
28282,28282,How does convolutional neural network works
28283,28283,What is shallow CNN
28284,28284,When were Bayesian statistics invented
28285,28285,When was Bayes theorem invented
28286,28286,Who developed Bayes Theorem
28287,28287,What is Bayes theorem and why is it important in machine learning
28288,28288,Is PCA cluster analysis
28289,28289,Is the 11 plus an IQ test
28290,28290,What is post processing in image processing
28291,28291,What happens to standard error when sample size increases
28292,28292,What happens to standard deviation when sample size doubles
28293,28293,What will happen to the standard error if the sample size is quadrupled in a normal population
28294,28294,Does sampling error increase with sample size
28295,28295,How do you reduce standard error
28296,28296,What 3 items affect the margin of error of a confidence interval
28297,28297,What sample size is needed for normal distribution
28298,28298,Are neural networks Parametric
28299,28299,Why is it so important to have control variables
28300,28300,How do you know if an interaction term is significant
28301,28301,Can you have a significant interaction without main effect
28302,28302,What does a statistically significant interaction mean
28303,28303,What do you do if the interaction effect is significant
28304,28304,What do you mean by partitioning method
28305,28305,How do you find n binomial distribution
28306,28306,What is P and Q in binomial distribution
28307,28307,How do you calculate P in binomial distribution
28308,28308,How do you find P and Q in probability
28309,28309,What does R stand for in probability
28310,28310,What does the C mean in binomial distribution
28311,28311,What does P represent in a binomial distribution
28312,28312,How do you calculate binomial probability in R
28313,28313,What is the argument form known as Modus Ponens
28314,28314,Which is the tautology form of modus ponens rule
28315,28315,What is the benefit of unsupervised learning
28316,28316,How do you do univariate and multivariate analysis in SPSS
28317,28317,How do you find the mean median and mode of grouped data
28318,28318,What is the formula to find mean median and mode
28319,28319,When should mean median and mode be used
28320,28320,What does mean median and mode tell us
28321,28321,What does logistic mean in math
28322,28322,How do you solve logistic functions
28323,28323,What is the equation for logistic growth
28324,28324,What exactly is moment of inertia
28325,28325,What is moment of inertia and its unit
28326,28326,What is meant by moment of inertia 4 pts
28327,28327,What is a Class A IP address
28328,28328,What is class ABCD in networking
28329,28329,What are the classification of IP address
28330,28330,What is IP address and its types
28331,28331,What is IP explain
28332,28332,What are the problems of data collection
28333,28333,Why is data mining dangerous
28334,28334,What are the pros and cons of data mining
28335,28335,What are the cons of data mining
28336,28336,What are the benefits of data mining
28337,28337,Is log a linear operator
28338,28338,What type of function is log
28339,28339,Is logarithmic linear
28340,28340,How do I know if a function is linear
28341,28341,Is logistic regression generative or discriminative
28342,28342,How do you identify bias
28343,28343,What is the meaning of Quanta
28344,28344,Is logarithms part of calculus
28345,28345,What type of math is logarithm
28346,28346,What is classification problem in data mining
28347,28347,What is regression and classification problem
28348,28348,What is the difference between classification and regression problems
28349,28349,What are regression problems
28350,28350,What is classification in deep learning
28351,28351,Why do we use at test instead of Az test
28352,28352,What is at test and when is it used
28353,28353,What are the typical situations for using non parametric tests
28354,28354,What are the advantages of nonparametric tests
28355,28355,Which is true for a binomial distribution
28356,28356,What is the main difference between binomial distribution and Poisson distribution
28357,28357,Which type of algorithm is Perceptron
28358,28358,What is Perceptron training algorithm
28359,28359,What is the main difference between a ratio variable and an interval variable
28360,28360,What is the difference between nominal ordinal interval and ratio
28361,28361,How do you find the ratio scale
28362,28362,Are scales ordinal or interval
28363,28363,What is meant by a stratified sample
28364,28364,What is the difference between a cluster and a strata
28365,28365,How do you test the association between two categorical variables
28366,28366,How do you find the correlation coefficient in Python
28367,28367,What is non continuous variable
28368,28368,What is H in Kruskal Wallis test
28369,28369,What is localization in artificial intelligence
28370,28370,What is image localization
28371,28371,What other techniques are used in multi class classification
28372,28372,Why do we use at distribution
28373,28373,How are the t distribution and the normal distribution similar
28374,28374,When would it be appropriate to use the t distribution to build a confidence interval
28375,28375,How do you find the paired t test
28376,28376,What is a paired t test example
28377,28377,How do you use data to make decisions
28378,28378,What is data decision making
28379,28379,How does big data improve decision making
28380,28380,What is the importance of data
28381,28381,What are the roles of data analyst
28382,28382,Whats the meaning of data
28383,28383,What is analytics decision making
28384,28384,What is analysis and decision making
28385,28385,What is the variance of a distribution of z scores
28386,28386,How do you find the mean of Z scores
28387,28387,How do you find the z score with the mean and variance
28388,28388,When a distribution is positively skewed
28389,28389,How do you know if it is positively skewed
28390,28390,How do we know if a distribution has a positive or negative skew
28391,28391,How do you calculate positive skewness
28392,28392,What causes skewness in a distribution
28393,28393,How are tensors used in machine learning
28394,28394,How do you evaluate ROC
28395,28395,What is ROC number
28396,28396,What is bivariate regression
28397,28397,What is polynomial regression Why do we use it
28398,28398,What is the difference between simple linear regression and correlation
28399,28399,What is the difference between Anova and multiple regression
28400,28400,Why is the law of large numbers
28401,28401,What is the difference between two way Anova and factorial Anova
28402,28402,What is another name for a two way Anova
28403,28403,Is a factorial Anova the same as a two way Anova
28404,28404,Why is a one way Anova used
28405,28405,What is one way Anova with example
28406,28406,What does P value of 0.4 mean
28407,28407,Is P value of 0.02 Significant
28408,28408,How do we calculate probabilities
28409,28409,How do you find the probability of a logistic regression in R
28410,28410,What is spectral clustering used for
28411,28411,What is SSE in K means clustering
28412,28412,How do you do an F test
28413,28413,Is clinical significance the same as statistical significance
28414,28414,What is significant and non significant
28415,28415,What is correlated and non correlated subquery
28416,28416,How do you prove a Markov chain is irreducible
28417,28417,How do I know if my Markov chain is absorbing
28418,28418,Is DFT and FFT same
28419,28419,What is difference between DFT and Idft
28420,28420,What does bootstrapped mean
28421,28421,What does it mean to bootstrap data
28422,28422,How can Descriptive statistics be defined quizlet
28423,28423,What is descriptive vs inferential statistics
28424,28424,What is descriptive statistics PDF
28425,28425,What is the relationship between the linear correlation coefficient r and the slope b1 of a regression line quizlet
28426,28426,What is the relationship between the linear correlation coefficient r and the slope be one of a regression line
28427,28427,What is the relationship between regression coefficient and correlation coefficient
28428,28428,What is the connection between the sign of r and the slope of the line of best fit
28429,28429,What is the relationship between beta and correlation
28430,28430,What is the difference between R and beta
28431,28431,What is the relationship between the linear correlation coefficient r and the slope b of a regression line
28432,28432,What is the relationship between R and R2
28433,28433,What is the difference between correlation coefficient and R2
28434,28434,What's the difference between R and R Squared
28435,28435,How do you find K in statistics
28436,28436,What is the value of k in Chebyshev's theorem
28437,28437,How do you use Chebyshev's inequality
28438,28438,How does Chebyshev theorem work
28439,28439,How do you deploy deep learning models
28440,28440,How are machine learning models deployed
28441,28441,What is a log in statistics
28442,28442,Why is log used in statistics
28443,28443,What does a log mean
28444,28444,How do you find log in statistics
28445,28445,What does a statistician do
28446,28446,What does experimental probability mean in math examples
28447,28447,Why there is a difference between theoretical and experimental results
28448,28448,What is the difference between theory and experiment
28449,28449,What are the main differences between theoretical and experimental probability
28450,28450,Why are experimental values lower than theoretical
28451,28451,How do you find the theoretical probability of rolling a 2
28452,28452,What is a experimental probability in math
28453,28453,What is machine learning knowledge
28454,28454,What is the range of values taken by a Bernoulli random variable
28455,28455,What is the parameter of Bernoulli distribution
28456,28456,How do you calculate the expected value of two independent variables
28457,28457,Why is logarithm useful
28458,28458,How do you perform a linear regression
28459,28459,How do you calculate linear regression line
28460,28460,What are the 3 anomalies
28461,28461,How do you identify anomaly
28462,28462,What is an anomaly or outlier
28463,28463,How do you find an anomaly in a distribution
28464,28464,What is the P value in context
28465,28465,What is p value in linear regression
28466,28466,How do you find the p value in Excel regression
28467,28467,What is a typical P value
28468,28468,Can we do better than convolutional neural networks
28469,28469,Is NLP a type of machine learning
28470,28470,Which is better NLTK or spaCy
28471,28471,Where can NLP be used
28472,28472,Which string matching algorithm is based on hashing technique
28473,28473,What is P in Poisson distribution
28474,28474,How do you find the p value of distribution
28475,28475,How do you find the data in a Poisson distribution
28476,28476,How do you plot a frequency distribution graph
28477,28477,What is a cumulative frequency plot in statistics
28478,28478,How do you construct a cumulative frequency curve
28479,28479,How do you plot a frequency distribution
28480,28480,What graph is used for frequency distribution
28481,28481,Are graphs used to represent frequency distribution
28482,28482,How do you measure skewness and kurtosis
28483,28483,What does skew mean in statistics
28484,28484,What causes a distribution to be skewed left
28485,28485,What is standardized residuals in regression
28486,28486,Why do we standardize residuals
28487,28487,What is the mean of residuals
28488,28488,What is residual error formula
28489,28489,What are the key elements of AI
28490,28490,How do I know what my independent variable is
28491,28491,What is IV and DV examples
28492,28492,What is the independent variable in an equation
28493,28493,What is System Dynamic Modeling
28494,28494,What are nonparametric techniques
28495,28495,How do you calculate loss in deep learning
28496,28496,What is the null hypothesis significance testing
28497,28497,What is a good reason for starting a hypothesis test with H0
28498,28498,What is a null hypothesis significance test
28499,28499,Is the null hypothesis what you are trying to prove
28500,28500,What does it mean if your test result is statistically significant quizlet
28501,28501,How do you determine if a result is statistically significant
28502,28502,Which of the following is the major difference between the t statistic formula and the Z score formula
28503,28503,What is the difference between the standard normal Z test statistics and the t test statistic
28504,28504,What is the difference between z scores and t scores
28505,28505,What is a high adjusted R squared
28506,28506,Is the decision boundary formed by a decision tree is always linear
28507,28507,What is time series forecasting technique
28508,28508,What does Multilayer Perceptron mean
28509,28509,Is exponential the same as logarithmic
28510,28510,What is the difference between exponential and logarithmic growth
28511,28511,What is difference between linear and logarithmic scale
28512,28512,What is the end behavior of a logarithmic function
28513,28513,What does data preparation mean
28514,28514,What are the steps to make a machine learning model
28515,28515,What are the two types activities in data preparation
28516,28516,What is stratification analysis
28517,28517,What is stratification in auditing
28518,28518,How do you use stratified random sampling
28519,28519,How do you explain stratified sampling
28520,28520,Why do you use stratified random sampling
28521,28521,What kind of data is categorical
28522,28522,How do you represent categorical data
28523,28523,What is LSA used for
28524,28524,Can you get the mean from a box plot
28525,28525,What does a negatively skewed box plot mean
28526,28526,What does it mean if a Boxplot is skewed
28527,28527,What information Cannot be found in a box plot
28528,28528,Which information can you obtain from a Boxplot but not from a histogram
28529,28529,What does a Stemplot show that a Boxplot does not
28530,28530,Can you find standard deviation from Boxplot
28531,28531,What is data interpolation
28532,28532,What does bivariate correlation mean
28533,28533,What's the difference between stratified and multistage sample
28534,28534,What is deviation and variance
28535,28535,What is the variance of a variable
28536,28536,How do you interpret R and R Squared
28537,28537,What does Beta and R Squared mean
28538,28538,Should I report R Squared or adjusted R squared
28539,28539,When reporting a regression should R or R 2
28540,28540,Why is R Squared better than R
28541,28541,How do you select K value in K means clustering
28542,28542,What is elbow method in Knn
28543,28543,How do you choose the best K for K means
28544,28544,What does a binomial look like
28545,28545,What are the basic assumptions of Anova
28546,28546,What are the assumptions of two way Anova
28547,28547,Is a two way Anova a factorial Anova
28548,28548,What is a factorial Manova
28549,28549,What are the assumptions in analysis of variance
28550,28550,What are the types of classifiers
28551,28551,What is classifier model
28552,28552,What are different data mining classifiers
28553,28553,What is model generalization
28554,28554,When was the chaos theory created
28555,28555,Who discovered chaos theory
28556,28556,What is the number for chaos
28557,28557,What is chaos theory in sociology
28558,28558,Is normality required for linear regression
28559,28559,What problems do neural networks solve
28560,28560,How do you debug a neural network
28561,28561,How do I test a neural network
28562,28562,How do you train a model in deep learning
28563,28563,How do you validate a deep learning model
28564,28564,How do linear regression predict stock prices
28565,28565,Can we use MSE for classification
28566,28566,Is a lower mean squared error better
28567,28567,Which is better TensorFlow or Scikit learn
28568,28568,Which situation can be considered a binomial experiment
28569,28569,Why would researchers need to include multiple independent variables in a regression
28570,28570,What is multiple correlation in statistics
28571,28571,What are the two limits of multiple correlation coefficient
28572,28572,What is lambda in Lasso
28573,28573,How do you choose lambda for ridge regression
28574,28574,What is model loss in keras
28575,28575,Can machine learning extrapolate
28576,28576,Can neural networks Overfit
28577,28577,How do you do logistic regression in R
28578,28578,How do you run a regression in R
28579,28579,What is the correct equation used for logistic regression
28580,28580,How do you predict logistic regression in R
28581,28581,How do you know if a function is a probability density function
28582,28582,What are the conditions of probability distribution
28583,28583,Why is it called probability mass function
28584,28584,What is a good learning rate for gradient descent
28585,28585,What determines spectral resolution
28586,28586,What is meant by frequency resolution
28587,28587,How is FFT bin size calculated
28588,28588,What are frequency bins
28589,28589,What is FFT resolution
28590,28590,How do you increase the frequency resolution of FFT
28591,28591,What is FFT and its advantages
28592,28592,How do you calculate normalized mean square error
28593,28593,What does it mean to normalize a value
28594,28594,What are advantages of robots
28595,28595,Can the mean of a discrete random variable be negative
28596,28596,Which are properties of a random variable
28597,28597,What are clusters in big data
28598,28598,What are the effects of selection bias
28599,28599,What is the problem with a biased sample
28600,28600,What does selection bias do to a sample
28601,28601,What is bias in a sampling method
28602,28602,Does the survey suffer from sampling bias Why or why not
28603,28603,How do you reduce sampling bias
28604,28604,What is the difference between sampling error and bias
28605,28605,Why is sampling bias a problem
28606,28606,What is bias error
28607,28607,What is the sign of Delta S for the reaction
28608,28608,When Delta H is positive and Delta S is positive
28609,28609,What is the difference between Delta H and Delta S
28610,28610,What is the delta G
28611,28611,What happens to Delta G when Delta S goes up
28612,28612,What happens when Delta H and Delta S are both negative
28613,28613,What are the reasons for outliers
28614,28614,How are outliers determined
28615,28615,What makes data an outlier
28616,28616,What are reasons to remove an outlier from a data set
28617,28617,What happens when data is skewed to the right
28618,28618,How do you fix right skewed data
28619,28619,How do you represent skewed data
28620,28620,What does it mean when data is skewed to the right
28621,28621,When the data is skewed to the right the measure of skewness will be
28622,28622,What is the aim of the neural networks
28623,28623,What is the relationship between naïve Bayes and Bayesian networks
28624,28624,Why naïve Bayesian classification is called naïve
28625,28625,Is naive Bayes a statistical classifier
28626,28626,What is the meaning of naive in naive Bayes classifier
28627,28627,Why is naïve Bayesian classification called naïve briefly outline the major ideas of naïve Bayesian classification
28628,28628,What do you mean by multivariate techniques explain their significance
28629,28629,What is an acceptable margin of error for a survey
28630,28630,What is margin error in survey
28631,28631,What is regression variance
28632,28632,How do you calculate the regression coefficient
28633,28633,What is variation in regression
28634,28634,How do you calculate regression analysis
28635,28635,What is a regression model in statistics
28636,28636,What is conditional probability in AI
28637,28637,What is probability formula
28638,28638,Is linear regression causal
28639,28639,What is continuous regression
28640,28640,Is linear regression a correlation
28641,28641,Why do we use BFS and DFS
28642,28642,What are the advantages of depth first search
28643,28643,What is the difference between descriptive and prescriptive analytics
28644,28644,What is the difference between descriptive and predictive analytics
28645,28645,What is descriptive analysis in big data
28646,28646,What is descriptive data analytics
28647,28647,What is the difference between data and DataSet
28648,28648,What is difference between DataTable and DataSet
28649,28649,What is dataset with example
28650,28650,What is a dataset in statistics
28651,28651,What are the types of datasets
28652,28652,What is the difference between data and dataset
28653,28653,How do you load a dataset in TensorFlow
28654,28654,How do I load a dataset in machine learning
28655,28655,How do I import a CSV file into TensorFlow
28656,28656,What do you mean by frequency in statistics
28657,28657,What is the purpose of frequency in statistics
28658,28658,What are types of statistical tests
28659,28659,What is a statistical test in research
28660,28660,What is a valid probability distribution
28661,28661,What are shrinkage methods
28662,28662,What is Hebb's rule learning
28663,28663,What is range of learning parameter alpha in Adaline network
28664,28664,Which is more important to you in the case of machine learning model model accuracy or model performance
28665,28665,What does interval scale mean
28666,28666,What is the interval scale of measurement
28667,28667,What does interval scale mean in statistics
28668,28668,What is an interval or ratio scale
28669,28669,How do you measure interval data
28670,28670,What is an interval scale question
28671,28671,Can interval scales be computed
28672,28672,What is interval scale and ratio scale
28673,28673,What is the difference between deep learning and machine learning
28674,28674,What is feature engineering in deep learning
28675,28675,What does a bimodal distribution tell you
28676,28676,How many modes does a bimodal distribution have
28677,28677,Is a bimodal distribution skewed
28678,28678,What is a good sum of squares value
28679,28679,What should the sum of residuals be
28680,28680,What does it mean if data is biased
28681,28681,What does biased sample mean in math
28682,28682,What is the difference between unbiased and biased
28683,28683,What is unbiased in statistics
28684,28684,What is a good Wppsi score
28685,28685,What is the average IQ score on the Wechsler Intelligence Test
28686,28686,Do you need to standardize data for linear regression
28687,28687,Why is Standardisation used
28688,28688,What type of data is discrete
28689,28689,What is the difference between discrete and continuous system
28690,28690,What is an example of discrete quantitative data
28691,28691,Which of the following is an example of discrete data
28692,28692,What is meant by discrete data give example
28693,28693,Why is class imbalance a problem
28694,28694,What is data imbalance
28695,28695,Why is p value adjusted
28696,28696,Why do we want a smaller p value
28697,28697,How can we create a set of rules based on a decision tree
28698,28698,How do you extract rules from the decision tree
28699,28699,What are the rules that govern decision trees
28700,28700,What does standard error of measurement mean
28701,28701,What does unimodal look like
28702,28702,What is bimodal and unimodal
28703,28703,What is another name for symmetric distribution
28704,28704,What is a unimodal curve
28705,28705,How do you calculate Heisenberg uncertainty
28706,28706,What is the equation for the Heisenberg Uncertainty Principle
28707,28707,What does Heisenberg uncertainty principle mean
28708,28708,How do you find the uncertainty of an instrument
28709,28709,What is the uncertainty of 2.2 cm
28710,28710,Why entropy is extensive property
28711,28711,Is entropy extensive or intensive property
28712,28712,Why is entropy described as an extensive property
28713,28713,How do you know if a reaction is pseudo first order
28714,28714,What is the difference between zero and first order kinetics
28715,28715,What are the differences between zero order drugs and first order drugs
28716,28716,What effect does the sample size have on the mean of the sampling distribution of the mean
28717,28717,What is the standard error of the sampling distribution of the sample mean quizlet
28718,28718,What does Entropia mean
28719,28719,What is exponential or logarithmic growth
28720,28720,Can we use SVM for regression
28721,28721,What is the formula of mode
28722,28722,What is the formula of mean median mode of grouped data
28723,28723,What is the empirical relationship between mean median and mode
28724,28724,What is the empirical relationship between mean
28725,28725,What is linear dataset
28726,28726,How do you check if a dataset is linear or not
28727,28727,What is naive Bayes technique
28728,28728,What is NLU engine
28729,28729,How do you describe cluster analysis
28730,28730,What is the need for converting a first order filter into a second order filter
28731,28731,What is the roll off rate in 2nd order low pass filter
28732,28732,What is second order high pass filter
28733,28733,What does second order filter mean
28734,28734,What is the function of a high pass filter
28735,28735,What is the difference between first order and second order active filters
28736,28736,What are second order filters
28737,28737,What do you mean by first order filter
28738,28738,Why higher order filters are better
28739,28739,What is Chi Square t test and F test
28740,28740,What is the point of an F test
28741,28741,How do you calculate risk and return in Excel
28742,28742,How do you measure risk management performance
28743,28743,What is KPI in risk management
28744,28744,How do you quantify risk management
28745,28745,What does a Kappa score mean
28746,28746,Which is the response variable
28747,28747,What is the explanatory variable in a scatter plot
28748,28748,How do you determine which variable is the response variable
28749,28749,What is the difference between data mining and predictive analytics
28750,28750,What is predictive method
28751,28751,What is the formula of lambda
28752,28752,How do you find the Lambda of a wave
28753,28753,What is λ in statistics
28754,28754,What does a regression coefficient tell you
28755,28755,Why do we use coefficients
28756,28756,What is coefficient and variable
28757,28757,Which mask is used for detecting isolated points
28758,28758,How do I identify lines in a photo
28759,28759,How do I find the lines of an image in Matlab
28760,28760,What is weighted average vs average
28761,28761,Where is decision tree used in AI
28762,28762,What is the use of decision tree technique in cluster analysis
28763,28763,What is decision tree analysis how it is important in management
28764,28764,What is Lemmatization in Python
28765,28765,How do you find the area under a bell curve
28766,28766,What is the equation for a bell curve
28767,28767,What is the area under the bell curve of a normal distribution
28768,28768,What is ACF time series
28769,28769,How do you solve autocorrelation in time series
28770,28770,What does an autocorrelation coefficient measure
28771,28771,How do you find the mean when given the frequency and mid value
28772,28772,How do you work out the mean from a grouped frequency table
28773,28773,Should the mean be used for highly skewed distributions
28774,28774,What happens when a distribution is skewed to the right
28775,28775,How do you add noise to data
28776,28776,How do you find the percentile of a frequency distribution
28777,28777,What is percentile distribution
28778,28778,What is the 80th percentile of the standard normal distribution
28779,28779,What is the 80th percentile Z score
28780,28780,What is the purpose for using confidence intervals in regression forecasting
28781,28781,What is the confidence interval method
28782,28782,How do you test for normal distribution
28783,28783,How do I know if a population is normally distributed
28784,28784,Is variance a robust measure
28785,28785,What does robust mean in stats
28786,28786,What do robust standard errors do
28787,28787,How do you do chain rule with multiple variables
28788,28788,Can a function have two derivatives
28789,28789,What is the formula for finding derivative of a function
28790,28790,Can you differentiate both sides of an equation
28791,28791,How do you differentiate an equation with two variables
28792,28792,How do you differentiate an equation
28793,28793,Is naive Bayes used for regression
28794,28794,What are frames in AI
28795,28795,What is semantic nets in AI
28796,28796,What are frames How do they differ from semantic nets
28797,28797,What is the disadvantage of semantic networks
28798,28798,How do you do Anova analysis
28799,28799,What are two common hash functions
28800,28800,What two methods help ensure data integrity
28801,28801,What are the types of hashing
28802,28802,What are the different methods of obtaining hash function
28803,28803,What is mean by real time processing
28804,28804,What is a real time system with example
28805,28805,What does in real time mean
28806,28806,What is real time requirements
28807,28807,What is non real time
28808,28808,How many methods of dimensional analysis are there
28809,28809,What are the three elements needed to set up a calculation for dimensional analysis
28810,28810,What are the demerits of dimensional analysis
28811,28811,Why do we need decision trees and decision tables
28812,28812,What is the difference between theoretical and empirical probability
28813,28813,What is the difference between experimental theoretical and subjective probabilities
28814,28814,What is the subjective probability
28815,28815,When the P value is used for hypothesis testing the null hypothesis is rejected if quizlet
28816,28816,When the P value is used for hypothesis testing the null hypothesis is not rejected
28817,28817,At what P value do we reject the null hypothesis
28818,28818,When the P value is used for hypothesis testing
28819,28819,How do you interpret the p value in hypothesis testing
28820,28820,What does P value mean in terms of null hypothesis
28821,28821,What is the significance of p value and how it helps in taking decision about null hypothesis
28822,28822,What does statistically significant mean for the null hypothesis
28823,28823,What does a statistically significant p value mean
28824,28824,Is categorical data normally distributed
28825,28825,How do you tell if a variable is normally distributed
28826,28826,In which of the following applications can we use deep learning to solve the problem *
28827,28827,Which are common applications of deep learning in artificial intelligence
28828,28828,When should we use deep learning
28829,28829,Which of the following library comes with visualization tool for deep learning
28830,28830,Which libraries stores and communicates data using blobs in deep learning
28831,28831,Which of these software are used for deep learning
28832,28832,What are the reasons for deep learning recently taking off
28833,28833,Which of the following is are limitations of deep learning
28834,28834,Is text mining part of data mining
28835,28835,How do you select the null and alternative hypothesis
28836,28836,What is an advantage of cluster sampling
28837,28837,What type of learning is classification
28838,28838,Why is multivariate analysis important
28839,28839,Why is multivariate analysis better than bivariate
28840,28840,Where is the dropout layer on CNN
28841,28841,What does the greedy choice property mean
28842,28842,What are the two properties of greedy choice in finding optimal solutions
28843,28843,What is Roberts edge detection
28844,28844,What is a large variance in statistics
28845,28845,What is acceptable variance limit
28846,28846,What is upper class boundary in statistics
28847,28847,How do you calculate LCB
28848,28848,How do you calculate lower boundaries
28849,28849,What is the class boundaries in statistics
28850,28850,What is the formula for class limit
28851,28851,What is the lower limit of class interval
28852,28852,How do you find the lower class limit in a histogram
28853,28853,What is a real life example of probability
28854,28854,What are 3 real world uses of probability
28855,28855,What is probability in real life
28856,28856,Where do we use probability
28857,28857,Does Z distribution have a mean of 0
28858,28858,What does a low z score mean
28859,28859,What is the mean of AZ score
28860,28860,What is the mean and standard deviation of the distribution of z scores
28861,28861,What is the standard deviation of the Z score distribution
28862,28862,What is the relationship between the Z distribution and the standard deviation
28863,28863,What is the difference between geometric mean and arithmetic mean
28864,28864,How do you find the expected monetary value in a decision tree
28865,28865,How do you calculate a decision tree
28866,28866,How can decision trees be improved
28867,28867,What is an optimal decision tree
28868,28868,Are t distributions normal
28869,28869,What does the determinant of a matrix tell you
28870,28870,How are determinants used in real life
28871,28871,What is determinant method
28872,28872,What does it mean if the determinant is negative
28873,28873,What is the use of determinants
28874,28874,Why do we study determinants
28875,28875,How do you use determinants to solve properties
28876,28876,What are the disadvantages of decision trees
28877,28877,What are the benefits of probability sampling
28878,28878,How many states are in the Turing machine
28879,28879,Is a computer a Turing machine
28880,28880,Is probability sampling biased
28881,28881,How can you tell if a sample is biased or unbiased
28882,28882,How does probability sampling reduce bias
28883,28883,What does uncorrelated mean in statistics
28884,28884,What is the difference between uncorrelated and independent
28885,28885,What is the effect of two independent variables that are highly correlated
28886,28886,What does it mean when 2 variables are correlated
28887,28887,What do t tests tell us
28888,28888,Can bagging improve linear regression
28889,28889,How much time it takes to learn data structures and algorithms
28890,28890,Should I learn data structures and algorithms for machine learning
28891,28891,What are the types of agents
28892,28892,What are 2 types of agencies
28893,28893,What are learning agents
28894,28894,Can a normal approximation be used for a sampling distribution of sample means from a population with μ 42 and σ 8 when n 25
28895,28895,Will the sampling distribution be approximately normal
28896,28896,What are the conditions for a binomial distribution
28897,28897,What are the requirements for a binomial experiment
28898,28898,How do you draw a binomial distribution table
28899,28899,What is the standard error of estimate in regression analysis
28900,28900,What is standard error estimate
28901,28901,How do you find standard error of estimate in multiple regression
28902,28902,What does a high standard error of estimate mean
28903,28903,What is the maximum error of estimate
28904,28904,What is meant by training data
28905,28905,Why is training data important
28906,28906,What is test and train data
28907,28907,Why do we need training and testing data
28908,28908,What is the difference between test and validation datasets
28909,28909,Which of the following algorithm is not an example of ensemble learning algorithm
28910,28910,Is AdaBoost an ensemble method
28911,28911,What is the difference between correlation and linear regression analysis
28912,28912,How do you calculate correlation and regression
28913,28913,How do I merge classes in Arcgis
28914,28914,Where would it be better to use an unsupervised classification
28915,28915,How do you do supervised classification
28916,28916,What does it mean to transform data
28917,28917,Why do you transform data
28918,28918,Why do we need data transformation in data mining
28919,28919,What does transforming data mean
28920,28920,What does log transformation do to data
28921,28921,How log normal of skewed data gives better sense of data
28922,28922,What is the relationship between the signs positive or negative of the slope b and the correlation coefficient r
28923,28923,How does slope relate to correlation
28924,28924,What is the function used to generate a random number based on normal distribution in octave
28925,28925,How do I generate a random number from a normal distribution in R
28926,28926,How do you calculate percentage uncertainty
28927,28927,How do you calculate uncertainty
28928,28928,What is Percent uncertainty formula
28929,28929,What is definition of uncertainty
28930,28930,How do you measure uncertainty
28931,28931,What is the meaning of uncertainty of measurement
28932,28932,How do you calculate mean uncertainty
28933,28933,How do you find the best point estimate of the population mean
28934,28934,How do you find the best point estimate
28935,28935,What are normal residual plots
28936,28936,What does a normal PP plot help you to test
28937,28937,How do you plot a normal probability plot for residuals
28938,28938,What is regression standardized residual
28939,28939,What is a Poisson probability distribution
28940,28940,What is the capacity of a neural network
28941,28941,What is contingency table in probability and statistics
28942,28942,How do you explain a confounding variable
28943,28943,What is a confound in an experimental study
28944,28944,What is a confounding variable in statistics quizlet
28945,28945,Why do outliers matter
28946,28946,What do we do with outliers
28947,28947,Why should you include outliers
28948,28948,What does an outlier tell you
28949,28949,What impact would an outlier have
28950,28950,What should we do with outliers
28951,28951,What is mode median and mean
28952,28952,Why use median over mean in statistics
28953,28953,Why filters are used in CNN
28954,28954,What is the mode of a distribution
28955,28955,How do you find the mode of distribution
28956,28956,What is a distribution with two modes
28957,28957,What is mode and its formula
28958,28958,How do you find the mode of a set of data
28959,28959,What is the mode if there are two
28960,28960,What is meant by mode of data
28961,28961,What does it mean to accept the null hypothesis
28962,28962,What are characteristics of unstructured data
28963,28963,Is WhatsApp a source of unstructured data
28964,28964,Is JSON semi structured data
28965,28965,Is XML unstructured data
28966,28966,Is a spreadsheet unstructured data
28967,28967,What kind of data formats comes under unstructured data
28968,28968,How do you calculate bins for a histogram
28969,28969,What are bins in frequency distribution
28970,28970,How do you find population variance on a calculator
28971,28971,What is the population variance of the data
28972,28972,What does the population variance tell us
28973,28973,Why variance is important in statistics
28974,28974,What is the point of variance
28975,28975,Why do we use binary logistic regression
28976,28976,What is the similarity between observation and inference
28977,28977,What is the difference between a hypothesis and an inference
28978,28978,What is the difference between an observation and inference
28979,28979,How do you use Spearman correlation
28980,28980,Why do we use Spearman correlation
28981,28981,What is the purpose of correlation coefficient
28982,28982,What does an R squared value of 1 mean
28983,28983,Does LVM affect performance
28984,28984,What is LVM and its use
28985,28985,What is difference between LVM and standard partition
28986,28986,What are agents
28987,28987,What is an agent in a sentence
28988,28988,How do agents work
28989,28989,How do you calculate sampling frequency
28990,28990,What is sampling rate of a signal
28991,28991,How do you calculate Nyquist frequency
28992,28992,Is sampling rate the same as sampling frequency
28993,28993,What happens when you increase the sampling frequency
28994,28994,What does sampling rate affect
28995,28995,Is Anova and t test the same
28996,28996,Can Anova be used for 2 groups
28997,28997,What are the three model assumptions required for the results of an analysis of variance to be valid
28998,28998,What is the another name of quartile deviation
28999,28999,What's a word for quick learner
29000,29000,What does it mean to learn fast
29001,29001,What test assumes normality
29002,29002,What does a significant chi square statistic tell us
29003,29003,Is McNemar test parametric or nonparametric
29004,29004,What does 0.01 significance level mean
29005,29005,How do you account for non response bias
29006,29006,How do I calculate sensitivity and specificity
29007,29007,What is randomisation in an experiment
29008,29008,What is the randomization method
29009,29009,What is the principle of randomization
29010,29010,Why root mean square error is preferred over mean squared error
29011,29011,What is a good MSE for linear regression
29012,29012,What are other performance measures for regression problem than MSE RMSE
29013,29013,What is an acceptable root mean square error
29014,29014,Who brainwashed kaneki
29015,29015,Is kaneki a villain
29016,29016,How do you calculate the AUC of a ROC curve
29017,29017,What is the difference between intersection and union
29018,29018,What is error in data communication
29019,29019,Is random forest better than bagging
29020,29020,What is interpolation in angular
29021,29021,What is the use of property binding in angular
29022,29022,What is the use of component in angular
29023,29023,What is string in TypeScript
29024,29024,What is the difference between string and string in angular
29025,29025,What is difference between string and string in TypeScript
29026,29026,What is Property binding in angular
29027,29027,Which one is a numeric data types
29028,29028,What is numeric data type in MySQL
29029,29029,What is a numeric answer
29030,29030,What is a numeric code
29031,29031,What is machine learning and its benefits
29032,29032,How do I launch TensorFlow
29033,29033,How do machine learning models deploy
29034,29034,How would you train your own object detection with TensorFlow object detection API
29035,29035,How do you use TensorFlow to detect objects
29036,29036,How do I train a custom model in TensorFlow
29037,29037,How do you find sampling units
29038,29038,What is a sampling unit How is it different from the population element
29039,29039,What is an audit sampling
29040,29040,What is audit sampling and justify the purpose of audit sampling
29041,29041,What are the two specific purposes for which audit sampling is used
29042,29042,What is sampling audit
29043,29043,What is sample size in auditing
29044,29044,What is an adequate sample size
29045,29045,What is generally the norm for ratio between training and test dataset
29046,29046,Is there an ideal ratio between a training set and validation set which trade off would you suggest
29047,29047,How do you calculate least squares regression
29048,29048,How do you do partial least squares regression in SPSS
29049,29049,Why do we use variance instead of standard deviation
29050,29050,What are the uses of variation
29051,29051,What does variance measure in statistics
29052,29052,What is standard deviation and why is it useful
29053,29053,What is class intervals in statistics
29054,29054,What is class size and class interval
29055,29055,What do you mean by adaptive learning
29056,29056,What are some different teaching methods
29057,29057,Why is adaptive learning important
29058,29058,What is the difference between tensor and matrix
29059,29059,What is vector and tensor
29060,29060,What is tensor analysis math
29061,29061,How many parameters are there in F distribution
29062,29062,How do you know if its an eigenvalue
29063,29063,What is Eigenfunction of LTI system
29064,29064,What do you mean by Eigenfunctions
29065,29065,Are Eigenfunctions orthogonal
29066,29066,How do you prove a Hermitian operator
29067,29067,What is cosine similarity formula
29068,29068,What is cosine similarity in machine learning
29069,29069,How do you explain P value in context
29070,29070,What is generalization error for a supervised learning model
29071,29071,What is generalization error in terms of the SVM
29072,29072,What is L1 minimization
29073,29073,Why is L1 norm sparse
29074,29074,What is a vector input
29075,29075,Whats is a vector
29076,29076,What is vector in deep learning
29077,29077,Is a neural network an AI
29078,29078,How do you find the expected ratio
29079,29079,What is observed and expected value in chi square test
29080,29080,What does a correlation coefficient of 0.1 mean
29081,29081,What does it mean if a distribution is skewed to the right
29082,29082,Is a normal distribution positively skewed
29083,29083,Can a normal distribution be skewed
29084,29084,What does logistic regression not do
29085,29085,When should we use logistic regression
29086,29086,How do you find the mean and variance of a Gaussian distribution
29087,29087,How do you calculate the mean of the distribution
29088,29088,How is a mean related to the median in a Gaussian distribution
29089,29089,Does Gaussian mean normal
29090,29090,What is the mean and standard deviation of any Z distribution
29091,29091,What are the disadvantages of FCFS scheduling
29092,29092,What are the disadvantages of priority scheduling
29093,29093,Which scheduling algorithm is best if we know the execution time
29094,29094,What are the disadvantages of SJF scheduling algorithm
29095,29095,Can the sample be generalized to the population
29096,29096,How do you generalize findings
29097,29097,What makes a sample generalizable
29098,29098,What is convenience sampling in qualitative research
29099,29099,What is the advantage of random samples over convenience samples
29100,29100,What is a binary variable in statistics
29101,29101,What is a binary response
29102,29102,What is the binary model
29103,29103,What is binary probit model
29104,29104,How do you do binary logistic regression
29105,29105,What is discrete decision
29106,29106,What is cluster validity
29107,29107,What are the sources of semi structured data
29108,29108,Is Excel semi structured data
29109,29109,What is the difference between structured and semi structured data
29110,29110,What is the difference between structured semi structured and unstructured data give example
29111,29111,What is semi structured data examples
29112,29112,What is structured unstructured semi structured data
29113,29113,What is a bootstrap distribution of the sample mean
29114,29114,How do you manage unstructured data
29115,29115,How is unstructured data converted to structured data
29116,29116,What is the characteristic of unstructured data
29117,29117,What is used to calculate the difference between two probability
29118,29118,What would you use to compare the frequency distribution of more than one set of data
29119,29119,When comparing two distributions it would be best to use relative frequency
29120,29120,How do you calculate dimensional analysis
29121,29121,Is stoichiometry the same as dimensional analysis
29122,29122,How do you solve stoichiometry step by step
29123,29123,How can dimensional analysis help me solve gas law stoichiometry problems
29124,29124,How do you do stoichiometry
29125,29125,How is stoichiometry used today
29126,29126,What is the definition of stoichiometric
29127,29127,What is stoichiometry explain with example
29128,29128,How is chaos theory used
29129,29129,How can machine learning help
29130,29130,What makes a good machine learning problem
29131,29131,How do you ask good data science questions
29132,29132,What does it mean if variables are correlated
29133,29133,What is predictor variable in machine learning
29134,29134,What are predictor variables
29135,29135,What is predictor and response variable
29136,29136,What is the difference between SRS and randomization
29137,29137,Is a system image the same as a backup
29138,29138,What is a system image backup
29139,29139,What is the difference between system image and recovery drive
29140,29140,How do you determine the dependent and independent variables
29141,29141,What does the dependent variable depend on
29142,29142,Where do you put the dependent variable
29143,29143,What are the types of ML
29144,29144,What is the difference between univariate data and bivariate data quizlet
29145,29145,What is the difference between univariate data and bivariate data
29146,29146,What is the definition of univariate data
29147,29147,How do you do factorial combinations
29148,29148,How do you find out how many possible outcomes there are
29149,29149,What is a conditional probability statement
29150,29150,What is kernel in neural network
29151,29151,What does kernel mean
29152,29152,What are kernels in CNN
29153,29153,What is channels in CNN
29154,29154,What are kernels in deep learning
29155,29155,What is kernel in convolution
29156,29156,What is the difference between a label and a feature in a dataset
29157,29157,Is binomial a sampling distribution
29158,29158,How do you use the critical value method
29159,29159,How do you reject the null hypothesis with the critical value
29160,29160,What is the purpose of performing the overall F test
29161,29161,In which neural network architecture has the weight sharing technique
29162,29162,Does weight sharing occurs in neural network architecture
29163,29163,What is the architecture of a neural network
29164,29164,Is Minimax a machine learning
29165,29165,Which values are independent in Minimax algorithm
29166,29166,What is Minimax value
29167,29167,Does population size matter for sample size
29168,29168,What are the reasons for using only a sampling size from the target population
29169,29169,What are the general tasks that are performed with backpropagation algorithm
29170,29170,What is a statistical estimate
29171,29171,What are the two types of statistical estimation
29172,29172,How do you estimate
29173,29173,What is network density
29174,29174,What is a dense neural network
29175,29175,What does low network density mean
29176,29176,Why is network density important
29177,29177,Is Hidden Markov model machine learning
29178,29178,How do you find equally likely outcomes
29179,29179,What are disadvantages of stratified sampling
29180,29180,What is a major drawback to cluster sampling
29181,29181,What are different data types in data mining
29182,29182,Which technologies are used in data mining
29183,29183,What are data mining techniques
29184,29184,What is data mining definition PDF
29185,29185,What is data mining explain the steps in data mining process
29186,29186,What is data mining explain features of data mining
29187,29187,What is random variable in research
29188,29188,How do you write a binomial
29189,29189,What are the criteria for a binomial distribution
29190,29190,Is rolling a die a binomial distribution
29191,29191,How do you know it a binomial distribution
29192,29192,Is linear regression an algorithm
29193,29193,Which is are important to use linear regression algorithm
29194,29194,How do you handle missing values
29195,29195,How can you handle missing values in data as a preprocessing step
29196,29196,How do you interpret sensitivity
29197,29197,How do you read sensitivity and specificity examples
29198,29198,How do you classify logistic regression
29199,29199,How do you select important variables in logistic regression
29200,29200,How do you do regression method
29201,29201,Which Matlab function is used for image reading
29202,29202,What is selection bias in observational studies
29203,29203,Why is selection bias a particular problem that can affect case control studies
29204,29204,What is logit and probit model
29205,29205,What is the meaning of logit
29206,29206,What are the prerequisites to learn Tensorflow
29207,29207,What is the random variable of interest in statistics
29208,29208,What is threshold in ImageJ
29209,29209,How do you use color threshold in ImageJ
29210,29210,Is linear regression a time series
29211,29211,Is linear regression a time series model or an associate model of forecasting
29212,29212,Is it possible to build an AI
29213,29213,Why Artificial intelligence is created
29214,29214,How is AI coded
29215,29215,How does AI improve
29216,29216,Are the data time series or cross sectional
29217,29217,How do you find the variance of a sample variance
29218,29218,What is the variance in probability
29219,29219,What is variance in binomial distribution
29220,29220,Is distribution the same as variance
29221,29221,How do you find the standard deviation of a sampling distribution
29222,29222,Which of the following is a property of the sampling distribution of the sample proportion
29223,29223,What does the sign of a standardized score tell you
29224,29224,What does an eigenvalue represent
29225,29225,What does an eigenvector represent
29226,29226,How do you know if something is an eigenvector
29227,29227,What is the least squares line in statistics
29228,29228,How do you find the Y intercept of the least squares regression line
29229,29229,What is the difference between Iqr and standard deviation
29230,29230,What is an advantage of standard deviation or Iqr
29231,29231,Should I use range or standard deviation
29232,29232,How do you do feature selection in linear regression
29233,29233,What is Labelling in deep learning
29234,29234,What is exponential probability distribution
29235,29235,What is bootstrapping in SPSS
29236,29236,Which function is used to obtain confidence interval in bootstrapping
29237,29237,What is a bootstrap confidence interval
29238,29238,What is bootstrap estimation
29239,29239,How do you compare survival curves
29240,29240,What does it mean when survival curves cross
29241,29241,Where is survival analysis used
29242,29242,How NAT works with example
29243,29243,What is NAT in simple terms
29244,29244,What are the disadvantages of Nat
29245,29245,What is multiplicative time series
29246,29246,When would a linear model be appropriate
29247,29247,How do you maintain a machine learning model
29248,29248,How do you measure the accuracy of a predictive model
29249,29249,How do you use a machine learning algorithm
29250,29250,Where are machine learning algorithms used
29251,29251,What is ethical testing
29252,29252,What are the different types of datasets
29253,29253,Which database is used in machine learning
29254,29254,What does the sampling distribution of P show
29255,29255,What are the characteristics of sampling
29256,29256,What are three characteristics of the sampling distribution of F
29257,29257,What are the 3 main characteristics of a sampling distribution based on the Central Limit Theorem
29258,29258,Is Joint Distribution independent
29259,29259,How do you prove two continuous random variables are independent
29260,29260,How do you find joint PDF from joint CDF
29261,29261,How do you calculate entropy of a set of data
29262,29262,Can you use at test for non normal data
29263,29263,How do you test if data is skewed
29264,29264,What do I do if my data is highly skewed
29265,29265,How do you evaluate normality of data
29266,29266,Is K means clustering hierarchical
29267,29267,What does K refers in the K means algorithm which is non hierarchical clustering approach
29268,29268,Is K means agglomerative clustering
29269,29269,Can MLE be biased
29270,29270,Why is sample variance biased
29271,29271,Why is standard deviation unbiased
29272,29272,How does measurement error affect correlation
29273,29273,How do you interpret a serial correlation
29274,29274,What are the basics of statistics
29275,29275,What are the major types of statistics
29276,29276,Why are the concepts of probability important
29277,29277,What are the two basic types of probabilities
29278,29278,What is the basic probability formula
29279,29279,What are examples of measurement error
29280,29280,How does measurement error effect regression
29281,29281,What is the effect of measurement error in Y
29282,29282,How do you determine time variant and time invariant system
29283,29283,What is variant and invariant
29284,29284,Which system is time invariant
29285,29285,Is the system time invariant y t x 4t
29286,29286,What is the application of K means
29287,29287,How do you convolve a picture
29288,29288,What is kernel matrix in image processing
29289,29289,How do you interpret correlation in SPSS
29290,29290,What does Lambda symbolize
29291,29291,Why do we need POS tagging
29292,29292,How is false positive rate calculated
29293,29293,Why do similar matrices have the same determinant
29294,29294,Do similar matrices have the same characteristic polynomial
29295,29295,What makes a matrix similar
29296,29296,What do you mean by transformation matrix
29297,29297,What does random sampling eliminate
29298,29298,When should you use random sampling
29299,29299,Can age be a discrete variable
29300,29300,Is age group continuous or discrete
29301,29301,Is age a nominal or continuous variable
29302,29302,Does resampling affect the image quality
29303,29303,Which one of the following is an image resampling method
29304,29304,How do you interpret an integral in terms of area
29305,29305,How do you evaluate each integral by interpreting it in terms of areas
29306,29306,What's different between dense index and sparse index
29307,29307,What is sparse matrix with example
29308,29308,What do you mean by sparse matrices
29309,29309,How does Otsu thresholding work
29310,29310,What is sampling error and how does it occur
29311,29311,What is a sampling error quizlet
29312,29312,Why would you convert a continuous variable to a categorical variable
29313,29313,How would you define machine learning problem
29314,29314,What is machine learning simple definition
29315,29315,How is stressed VAR calculated
29316,29316,How do you do exponential distribution
29317,29317,What is the shape of exponential distribution
29318,29318,Which type of sampling is used most often
29319,29319,Is stratified sampling biased
29320,29320,What are the disadvantages of stratified random sampling
29321,29321,Which variable is the best predictor
29322,29322,What is bad about convenience sampling
29323,29323,What are the pros and cons of convenience sampling
29324,29324,What is regression which models can you use to solve a regression problem
29325,29325,Is logistic regression regression or classification
29326,29326,What is the regression equation in statistics
29327,29327,What is R2 value
29328,29328,Should dummy variables be standardized
29329,29329,What is the objective of Perceptron learning Mcq
29330,29330,Is Perceptron linear regression
29331,29331,Is Perceptron a linear classifier
29332,29332,Why does the Perceptron algorithm work
29333,29333,What are the multimodal elements of a text
29334,29334,What do you mean by multimodal
29335,29335,How do you measure similarity between two texts
29336,29336,How can I compare the contents of two files
29337,29337,What is a third order tensor
29338,29338,Is a tensor a matrix of matrices
29339,29339,What is a sequential model in TensorFlow
29340,29340,What is a sequential model neural network
29341,29341,Is weight an ordinal variable
29342,29342,What kind of data is weight
29343,29343,Is birth weight a continuous variable
29344,29344,Is weight discrete or continuous
29345,29345,How do you find C using mean value theorem
29346,29346,How do I find the C value of an integral
29347,29347,What is C in Rolle's theorem
29348,29348,Who introduced CNN
29349,29349,Why is regression called regression
29350,29350,What is a way of finding the K value for K means clustering
29351,29351,How do you find the optimal number of clusters in K means
29352,29352,Which method is used to find optimal number of clusters
29353,29353,Why K means algorithm is used
29354,29354,What is K means algorithm in data mining
29355,29355,What is a one hot encoded vector
29356,29356,What does one hot encoded mean
29357,29357,What is OneHotEncoder in machine learning
29358,29358,How does machine learning know Overfitting
29359,29359,Why neural network is important
29360,29360,Why would you use a box plot
29361,29361,Where are box plots used
29362,29362,Is standard error equal to standard deviation
29363,29363,Can you calculate standard deviation from standard error
29364,29364,Why do we use standard error instead of standard deviation
29365,29365,Are error bars SEM or SD
29366,29366,Is standard error the same as error bars
29367,29367,What is the difference between standard error and standard error of the mean
29368,29368,Is standard error of mean
29369,29369,Is standard error of the mean the same as margin of error
29370,29370,When use standard error of the mean
29371,29371,Which of the following are the sub fields of NLP
29372,29372,What are the two sub fields of NLP
29373,29373,What is 2nd quartile
29374,29374,How do you explain a regression equation
29375,29375,How does regression analysis work
29376,29376,What is the opposite of integration in calculus
29377,29377,Why is differentiation the opposite of integration
29378,29378,How can a probability of a class be calculated from the log odds produced by a logistic regression
29379,29379,What is an ancillary variable
29380,29380,How do you interpret a complete statistic
29381,29381,What is a non normal distribution
29382,29382,What does not normally distributed data mean
29383,29383,Which is a common way to represent univariate data
29384,29384,What are the steps for gradient descent algorithm
29385,29385,Where is simple linear regression used
29386,29386,Where is regression analysis used
29387,29387,When can linear regression be used
29388,29388,Is convenience sampling random
29389,29389,Why was Picard called Locutus
29390,29390,When was Picard Borg
29391,29391,Why was Picard a Borg
29392,29392,How do you find the Z score in a standard normal distribution table
29393,29393,What is Z in standard normal distribution table
29394,29394,How do you find the value of z test
29395,29395,Do z scores have a mean of 0
29396,29396,Does a normal distribution have a mean of 0
29397,29397,What is DCT and DWT
29398,29398,Why is DFT better than DCT
29399,29399,How do you determine the size of a kernel
29400,29400,What is kernel in conv2D
29401,29401,What are different clustering methods
29402,29402,What is a clustering in data mining
29403,29403,How do you split data for cross validation
29404,29404,What is the difference between validation and evaluation
29405,29405,How do you validate a training course
29406,29406,What does censoring mean in statistics
29407,29407,How does the Kaplan Meier approach to estimating the survival function utilize information from censored observations
29408,29408,How do you deal with left censored data
29409,29409,What does it mean when data is censored
29410,29410,How is censored data used in survival analysis
29411,29411,What are the benefits of machine learning
29412,29412,Where is machine learning use
29413,29413,How do Decision trees work
29414,29414,What is the critical value of z to calculate the 95 confidence interval
29415,29415,How do you find Z critical value in Excel
29416,29416,How do you calculate z area
29417,29417,What is a deep learning framework
29418,29418,What are machine learning frameworks
29419,29419,What are the types of AI Modelling
29420,29420,Is Heisenberg uncertainty principle wrong
29421,29421,What is uncertain in Uncertainty Principle
29422,29422,What is the meaning of uncertainty
29423,29423,Why does the uncertainty principle exist
29424,29424,What does the uncertainty principle teach us
29425,29425,What is Process Mining RPA
29426,29426,How bagging method can be useful to improve the accuracy of classification machine models
29427,29427,What is the purpose of bagging
29428,29428,What is z score method
29429,29429,What is the difference between a class and an instance
29430,29430,Why is variance divided by n
29431,29431,What is N in sample variance
29432,29432,What does N represent in the formula for the population variance
29433,29433,What is consistent hypothesis in machine learning
29434,29434,Why find s algorithm does not consider negative example
29435,29435,How do I test my machine learning model
29436,29436,What are the 4 components of the statistical process
29437,29437,What are the 3 steps of statistics
29438,29438,What are the 6 steps involved in statistical process control
29439,29439,What is the 4 step problem solving process
29440,29440,What are the steps in statistical investigation
29441,29441,What is not the measure of location
29442,29442,Is average a measure of center
29443,29443,What is a measure of location
29444,29444,Why is measure of spread important
29445,29445,How do you approach data analysis
29446,29446,How do you use a data set
29447,29447,What is a dataset
29448,29448,How do I open a dataset
29449,29449,Can a dummy variable be an independent variable
29450,29450,What are dummy variables used for in regression
29451,29451,Is a dummy variable an explanatory variable
29452,29452,Why is OLS regression used
29453,29453,What is used in backward chaining
29454,29454,Is the sampling distribution of the difference in sample means approximately normal
29455,29455,What is N_estimators
29456,29456,What is Max_depth in decision tree
29457,29457,What is Gamma in XGBoost
29458,29458,What is Min_samples_split
29459,29459,What variable is the output
29460,29460,What is the output of a function
29461,29461,Is the output dependent
29462,29462,How do you find the output of a function
29463,29463,What is the output value of a function
29464,29464,Is the dependent variable the output
29465,29465,Is range a dependent variable
29466,29466,Is output values domain or range
29467,29467,Is range an output
29468,29468,What is an outlier definition
29469,29469,What is the outlier in the data set
29470,29470,What is a false positive diagnosis
29471,29471,What is false positive security
29472,29472,What is a node in a decision tree
29473,29473,What is the value of a decision node in a decision tree
29474,29474,What information does a decision tree provide
29475,29475,What does a decision tree display
29476,29476,What does a leaf node represent in a decision tree
29477,29477,What is non leaf node
29478,29478,How do you choose a root node in a decision tree
29479,29479,What is pattern search algorithm
29480,29480,What is pattern matching explain with example
29481,29481,What is pattern matching explain
29482,29482,What is pattern matching in C
29483,29483,What is pattern matching in data structure
29484,29484,What does binary logistic regression tell you
29485,29485,Why iterative methods are called as self correcting
29486,29486,What is the condition for convergence of Gauss Seidel method
29487,29487,Why Gauss Seidel method is better than Gauss Jacobi method
29488,29488,Why do we use Gauss Seidel method
29489,29489,What is real time stream processing
29490,29490,What is streaming data processing
29491,29491,What are the characteristics of real time streaming
29492,29492,What is columnar format
29493,29493,Why are columnar file formats used in data warehousing
29494,29494,What is perceptual map used to assess
29495,29495,What is meant by artificial neural network
29496,29496,What is a neural network in machine learning
29497,29497,What is neural network and its application
29498,29498,What is neural network explain its types also
29499,29499,Is SVR linear
29500,29500,What is the difference between SVC and SVM
29501,29501,What is quantile value
29502,29502,What is an indication that the regression model is a good fit
29503,29503,What is the difference between Gaussian and Poisson distribution
29504,29504,What if QuantiFERON TB Gold is positive
29505,29505,Can you have a false positive QuantiFERON gold
29506,29506,Is QuantiFERON test accurate
29507,29507,How do you read a QuantiFERON TB test
29508,29508,How do you read QuantiFERON TB Gold Plus results
29509,29509,What is a positive QuantiFERON TB Gold test
29510,29510,What is an acceptable standard error of measurement
29511,29511,What are the uses of standard error
29512,29512,Is Hadoop and Big Data same
29513,29513,What are the big data tools
29514,29514,Why do we need Hadoop for big data analytics
29515,29515,How does Hadoop work in big data
29516,29516,How do we use sensors
29517,29517,Is the probability distribution a discrete distribution
29518,29518,What makes something a discrete probability distribution
29519,29519,How do you determine if a table represents a discrete probability distribution
29520,29520,What does stratification mean in random sampling
29521,29521,What is interval and ratio data
29522,29522,What is interval or ratio level of measurement
29523,29523,What is interval level data
29524,29524,How do you find the sampling error of a sample mean
29525,29525,What is the formula for sampling
29526,29526,What happens if you increase the confidence interval
29527,29527,How do you increase confidence intervals
29528,29528,Can you multiply confidence intervals
29529,29529,What is the objective function for neural network
29530,29530,What is the linear concept of time
29531,29531,What is a linear data set
29532,29532,How do you deal with non linear data
29533,29533,How do you measure nonlinearity
29534,29534,What is nonlinearity in statistics
29535,29535,Is my data linear or nonlinear
29536,29536,How do you determine your activity level
29537,29537,What is the meaning of activity level
29538,29538,What is meant by discrete control system
29539,29539,How many types of control systems are there
29540,29540,What is type2 system
29541,29541,How do you do the moment method
29542,29542,What are moment conditions
29543,29543,How do you find the correlation between two variables in Matlab
29544,29544,How do you find the correlation coefficient between two images in Matlab
29545,29545,What variables follow a normal distribution
29546,29546,What is a normally distributed random variable
29547,29547,What is a random variable How is it related to a distribution
29548,29548,What is the density of a random variable
29549,29549,How do you find the probability of two probabilities
29550,29550,What is image in Matlab
29551,29551,How do you find the alternative hypothesis in statistics
29552,29552,What is vectorization machine learning
29553,29553,What is vectorization in deep learning
29554,29554,Why do we do vectorization
29555,29555,What is vectorization of an image
29556,29556,How do you vectorize
29557,29557,How do I edit text in a vector image
29558,29558,What is are the good reasons to normalize data
29559,29559,When should we avoid normalization
29560,29560,What are the advantages and disadvantages of normalization
29561,29561,What is learning by imitation
29562,29562,Does Facebook have AI
29563,29563,Are social media algorithms AI
29564,29564,What are examples of artificial intelligence
29565,29565,What is mean difference tell
29566,29566,How do you find the Standardised mean difference
29567,29567,How do you interpret effect size
29568,29568,What is matching in econometrics
29569,29569,Is the correlation between Y and X
29570,29570,What is the Pearson correlation between variables X and Y if X Y
29571,29571,What is the correlation between X and Y
29572,29572,Why is convenience sampling unreliable
29573,29573,What are sampling problems
29574,29574,What is the main problem with using non probability sampling techniques
29575,29575,What is the bias of a model
29576,29576,How do you find an estimator bias
29577,29577,How do you find the variance of a model
29578,29578,What is a model bias
29579,29579,What is model accuracy in machine learning
29580,29580,Do we need to normalize data for K means
29581,29581,Should you always normalize data
29582,29582,Why do we need to standardize data
29583,29583,What is the difference between deterministic and nondeterministic
29584,29584,What is counting in statistics
29585,29585,What is the basic counting principle
29586,29586,What is counting and probability
29587,29587,How do you calculate additive probability
29588,29588,What do beta coefficients tell us
29589,29589,What makes a random variable discrete
29590,29590,What is the difference between the two types of random variable
29591,29591,Can deep learning process structured data
29592,29592,What does deep learning use
29593,29593,What is the difference between quartile EXC and quartile Inc
29594,29594,What does percentile EXC mean
29595,29595,What is the difference between Percentrank EXC and Percentrank Inc
29596,29596,What is the difference between quartile Inc () and quartile EXC ()
29597,29597,What is the formula for calculating quartiles
29598,29598,Which statistic is used to estimate the population mean
29599,29599,What is the point estimate for μ the population mean
29600,29600,What is μ in statistics
29601,29601,What is the name of a statistic that is calculated from a sample and is used to estimate a population parameter
29602,29602,What is the value of the statistic
29603,29603,Is a sample statistic a constant
29604,29604,How do you estimate population proportion
29605,29605,How do you estimate population size using proportions
29606,29606,How do you find the value of the sample proportion
29607,29607,What is hidden state in hmm
29608,29608,What is the difference between PCA and linear regression
29609,29609,Is PCA a regression
29610,29610,How do you avoid vanishing gradient
29611,29611,What does the interquartile range Tell us about a set of data
29612,29612,What does a high IQR mean
29613,29613,What is Iqr good for
29614,29614,Does Iqr determine variability
29615,29615,How do you find relative frequency in probability
29616,29616,What do you mean by relative frequency
29617,29617,How do we calculate relative frequency
29618,29618,What is the classical probability
29619,29619,What is classical probability theory
29620,29620,What is classical empirical and subjective probability
29621,29621,What is a Sklearn in Python
29622,29622,Which is better Sklearn or Tensorflow
29623,29623,What is robot repeatability
29624,29624,Is repeatability the same as accuracy
29625,29625,What is the difference between accuracy and reproducibility
29626,29626,What to do if model is Underfitting
29627,29627,How do you find the frequency of a Fourier transform
29628,29628,What is frequency bin in FFT
29629,29629,Why negative frequency is used in Fourier Transform
29630,29630,What is spatial domain
29631,29631,What is spatial frequency domain
29632,29632,What does frequency domain mean
29633,29633,What is the difference between S domain and frequency domain
29634,29634,What is time series analysis method
29635,29635,What are the different methods of measuring trend
29636,29636,What are the various methods of finding trend in time series analysis
29637,29637,What is sampling frame give an example
29638,29638,What are the uses of statistics in real life
29639,29639,What are some uses of statistics
29640,29640,What sampling means
29641,29641,Which of the following is true about linear discriminant analysis
29642,29642,What is the best use for the rules that are developed in neural networks
29643,29643,What is hebbian model
29644,29644,How do you find maximum entropy
29645,29645,What is a state of maximum entropy
29646,29646,What is dimensionality of data
29647,29647,What is the meaning of a B testing
29648,29648,How do you do a multivariate analysis in SPSS
29649,29649,What is the NLP techniques
29650,29650,What is the y axis in a normal distribution
29651,29651,How do you read a density plot
29652,29652,What is a density plot
29653,29653,How do you interpret distribution curves
29654,29654,How do you read a bell curve graph
29655,29655,What is spatial domain and frequency domain in image processing
29656,29656,How do you convert a spatial domain to a frequency domain
29657,29657,Why frequency domain is used in image processing
29658,29658,What is cross correlation and autocorrelation
29659,29659,When should sampling be done
29660,29660,When Should non probability sampling be used
29661,29661,What is the main advantage of using probability samples group of answer choices
29662,29662,What is the main disadvantage of non probability samples
29663,29663,What are the major features of probability sampling
29664,29664,What was Einstein's IQ
29665,29665,How do you calculate covariance from variance
29666,29666,How does covariance relate to variance
29667,29667,How is covariance related to variance
29668,29668,How covariance is calculated
29669,29669,How do you standardize covariance
29670,29670,What is mean and variance in statistics
29671,29671,Is artificial neural network used for classification
29672,29672,What is parameter in simple words
29673,29673,What is the best way to learn statistics
29674,29674,What is data correlation
29675,29675,What is correlation in data science
29676,29676,How do you know when two events are independent
29677,29677,Is this an overlapping or disjoint event
29678,29678,What is the purpose of Fourier Transform
29679,29679,What is cross entropy loss used for
29680,29680,What is unbalanced data
29681,29681,What are the conditions for using a normal distribution to approximate a binomial distribution
29682,29682,Why do we need quantile regression
29683,29683,How is probability density calculated
29684,29684,How do you find the expected value of a density function
29685,29685,How do you calculate expected value from PMF
29686,29686,Does K means work with categorical data
29687,29687,Can K means be used for text clustering
29688,29688,What is the midpoint of a class interval called
29689,29689,What is the mid value of a class interval called
29690,29690,What is the mid interval value
29691,29691,How do you find the median class of grouped data
29692,29692,How do you find the median in a frequency distribution
29693,29693,In what interval is the median located
29694,29694,Is hierarchical clustering greedy
29695,29695,How do you find the pseudo rate constant
29696,29696,What is pseudo first order rate constant
29697,29697,What is pseudo rate law
29698,29698,What affects pseudo rate constant
29699,29699,How do you calculate normal distribution from Phi
29700,29700,Why is Big Data unstructured
29701,29701,Why is big data normally unstructured
29702,29702,How are outliers treated in regression
29703,29703,What is considered an outlier in data
29704,29704,What test is used for correlation
29705,29705,How can neural networks reduce bias
29706,29706,What is a regression coefficient
29707,29707,What does the standard error of the mean tell us
29708,29708,Is margin of error and standard deviation the same
29709,29709,Whats the difference between standard error and margin of error
29710,29710,How do you find standard deviation from margin of error
29711,29711,How do you know when to do a regression analysis
29712,29712,Why is Artificial Intelligence helpful
29713,29713,How does artificial intelligence help us in everyday life
29714,29714,Is sample size related to standard deviation
29715,29715,How do you find the standard deviation of a sample size
29716,29716,What determines the sample size
29717,29717,Is a one way Anova the same as at test
29718,29718,What is the Anova test used for
29719,29719,Why is bias added in neural network
29720,29720,How is bias used in neural networks
29721,29721,What is a bias in a neural network
29722,29722,What is bias in Tensorflow
29723,29723,Can you use parametric and nonparametric tests in the same study
29724,29724,What does Elon Musk say about artificial intelligence
29725,29725,What is Elon Musk's AI company
29726,29726,Who thinks AI dangerous
29727,29727,What Elon Musk said about AI
29728,29728,Why is the sigmoid function important
29729,29729,What is the operation used in divergence
29730,29730,What is Stokes theorem used for
29731,29731,What does skewed to the right mean
29732,29732,How do you find sample mean on TI 84
29733,29733,How do you find the median of the data
29734,29734,How do you find the median of an even set of data
29735,29735,What is median of a set
29736,29736,Which one comes under non numerical data type
29737,29737,Which data is numerical data
29738,29738,What is numeric data type
29739,29739,What is an example of numeric data
29740,29740,What are the two types of numerical data
29741,29741,Which evaluation metrics can be used for classification problems
29742,29742,What is ranking problem
29743,29743,What is ranking algorithm in search engine
29744,29744,What is ranking in machine learning
29745,29745,What are different ranking algorithms
29746,29746,How does sift algorithm work
29747,29747,How do you use LDA
29748,29748,What are the four assumptions of regression that must be tested in order to ensure that statistical results are trustworthy
29749,29749,Which the following is not an assumption for a linear regression model
29750,29750,Which of the following is not an assumption underlying regression analysis
29751,29751,What does it mean to find the margin of error
29752,29752,How is the margin of error related to the standard error of the mean
29753,29753,How do you find the standard error of a sample
29754,29754,How do you find the margin of error for a two sample t interval
29755,29755,How do you find the margin of error for a sample proportion
29756,29756,How is margin of error calculated
29757,29757,How do you find the margin of error when given the confidence interval
29758,29758,How do you find the sample size given the margin of error and confidence interval
29759,29759,How do you calculate a trend line
29760,29760,How do you find the trend line on a scatter plot
29761,29761,How does excel calculate trendline equation
29762,29762,What is the trend line in a scatter plot
29763,29763,What is a trend line equation
29764,29764,What does the trendline tell you
29765,29765,What is the trendline in Excel
29766,29766,Why normal distribution is bell shaped
29767,29767,Why do we use a bell curve
29768,29768,Is a bell curve a function
29769,29769,How does a bell curve work
29770,29770,How is regression used in time series forecasting
29771,29771,Is Arima linear regression
29772,29772,What is signal sampling and reconstruction
29773,29773,Is it always possible to reconstruct the original signal after it is sampled
29774,29774,How do you reconstruct a sampled signal in Matlab
29775,29775,How do you reconstruct a sampled signal
29776,29776,What is sampling theorem sampling
29777,29777,What is Nyquist criteria for sampling
29778,29778,What are the applications of sampling theorem
29779,29779,What is the condition to avoid aliasing for sampling
29780,29780,What is model based algorithm
29781,29781,What is the significance of learning algorithms
29782,29782,What type of learning algorithm relies on a similarity measure to make predictions
29783,29783,How probabilities are calculated in random forest
29784,29784,Do I need to scale for random forest
29785,29785,What is random forest in ML
29786,29786,What is random forest regression in machine learning
29787,29787,What is the moment generating function of geometric distribution
29788,29788,What is geometric probability distribution
29789,29789,How do you interpret r squared and adjusted R squared
29790,29790,How is adjusted R 2 calculated
29791,29791,What is the formula for calculating coefficient of determination
29792,29792,What is adjusted R2 value
29793,29793,How do you test for univariate normality in SPSS
29794,29794,What is the problem with outliers
29795,29795,What is the challenge when we find the outlier in high data
29796,29796,How do you find the sample mean and sample standard deviation
29797,29797,Is the mean of a sample the same as a mean of the population
29798,29798,Why do most of the sample means differ somewhat from the population mean
29799,29799,What is the difference between an episode and an epoch
29800,29800,What is the runtime of BFS
29801,29801,Is BFS linear time
29802,29802,What is the time complexity of BFS algorithm
29803,29803,What are the two types of fuzzy inference system
29804,29804,What is another name for fuzzy inference systems *
29805,29805,Which of the following is the advantage of collaborative filtering system
29806,29806,What are the challenges faced in collaborative filtering recommendation system
29807,29807,What is the cold start problem in collaborative filtering
29808,29808,What is the goal of collaborative filtering
29809,29809,Can covariance matrix singular
29810,29810,How do you find the inverse of a 3x3 matrix
29811,29811,How do you find the inverse
29812,29812,What does the inverse of a matrix mean
29813,29813,Can covariance matrix negative
29814,29814,How do you remove outliers from a data set
29815,29815,Which formulas are used to determine outliers in a data set
29816,29816,What are the properties of probability mass function
29817,29817,What does non stochastic mean
29818,29818,What are stochastic effects
29819,29819,What are deterministic and stochastic effects
29820,29820,What is a stochastic random variable
29821,29821,What is a stochastic relationship
29822,29822,Which of the following are examples of stochastic effects
29823,29823,What is the difference between a non stochastic effect and a stochastic effect
29824,29824,What is deep clustering
29825,29825,What is Anova in linear regression
29826,29826,Is Anova a type of regression
29827,29827,Is Anova the same as regression
29828,29828,Is Anova a form of linear regression
29829,29829,Is Anova a multiple regression
29830,29830,Is Ancova linear regression
29831,29831,Is Anova GLM
29832,29832,Is an Anova a linear model
29833,29833,Are R and R squared the same
29834,29834,What is the square of the correlation
29835,29835,What is AI data
29836,29836,How does artificial intelligence use data
29837,29837,Why is data important for AI
29838,29838,Does AI need data
29839,29839,How does AI use big data
29840,29840,What is data for AI
29841,29841,Why do we need artificial intelligence
29842,29842,Why do we need to study AI
29843,29843,What are the benefits of AI
29844,29844,When can you use the divergence test
29845,29845,How do you tell if a function is divergent or convergent
29846,29846,Can AST prove divergence
29847,29847,How do you know when to use the alternating series test
29848,29848,How do you determine if a series is divergent or convergent
29849,29849,How do you use a series ratio test
29850,29850,Why the harmonic series diverges
29851,29851,What is true about bagging
29852,29852,What are two types of growth curves
29853,29853,What is the meaning of unpunished
29854,29854,How do you do a stepwise regression in SPSS
29855,29855,What is stepwise multiple regression analysis
29856,29856,How do you do a bivariate analysis in SPSS
29857,29857,How do you calculate bivariate regression
29858,29858,What is a bivariate regression analysis
29859,29859,How do you prepare data for cluster analysis
29860,29860,How do you select variables for clustering
29861,29861,How is clustering measured
29862,29862,Which are the following are the correct elements used in Hidden Markov model
29863,29863,What is sample universe
29864,29864,What is meant by Universe in statistics class 11
29865,29865,How do you identify population and sample
29866,29866,Why do we use kurtosis
29867,29867,How do you calculate skewness and kurtosis
29868,29868,How do you calculate kurtosis in grouped data
29869,29869,What is knowledge representation in AI
29870,29870,What is the role of knowledge in intelligence Behaviour
29871,29871,What does data pipeline mean
29872,29872,How does data pipeline work
29873,29873,Which of the following method is lazy learning method
29874,29874,What are basic differences between an eager learner algorithm and a lazy learner algorithm for classification
29875,29875,What is meaning of data analytics
29876,29876,What is a test of a single proportion used for
29877,29877,How do you use 2 Prop Z test
29878,29878,What is a 2 sample z test used for
29879,29879,What is P1 and P2 in statistics
29880,29880,What is the least squares regression line used for
29881,29881,Why do we square the residuals when finding the least squares regression line
29882,29882,What does the slope of the regression line tell us
29883,29883,How do you use a regression line to predict
29884,29884,How do you find the probability of A and B dependent
29885,29885,What is confusion matrix and write its purpose
29886,29886,What is confusion matrix in decision tree
29887,29887,What is proximity matrix in random forest
29888,29888,How big should a neural network be
29889,29889,What is a variate in statistical analysis
29890,29890,What is inverse transform technique explain how it is used for producing random variants for exponential distribution and uniform distribution
29891,29891,What is the difference between Conv1D and Conv2D
29892,29892,How do you test proportions
29893,29893,How do you find the population proportion
29894,29894,What is the test statistic for proportion
29895,29895,Which statistical test can be used for testing of several population means
29896,29896,What is a means test in statistics
29897,29897,What is population proportion in hypothesis testing
29898,29898,How do you implement CNN in TensorFlow
29899,29899,How do you find the mean of Sigma
29900,29900,What is 3 sigma mean
29901,29901,What does the E mean in statistics
29902,29902,What is the difference between S and Σ
29903,29903,How do you calculate Sigma
29904,29904,How do you calculate Sigma and Mu
29905,29905,What is Sigma and standard deviation
29906,29906,How do you calculate Sigma from standard deviation
29907,29907,Is CNN deep learning or machine learning
29908,29908,Is CNN an algorithm
29909,29909,What are the assumptions of parametric tests
29910,29910,Should I use Z test or t test
29911,29911,What is the order of steps in NLU
29912,29912,What is NLU in artificial intelligence
29913,29913,What are the 2 measures of variability
29914,29914,How do you measure variability
29915,29915,What are the 4 measures of variability
29916,29916,What is data variability
29917,29917,How do you find the variability of a data set
29918,29918,What is variability in a dot plot
29919,29919,How do the standard deviations of the two data sets compare
29920,29920,Does standard deviation measure variability
29921,29921,How do you know which variable has more variability
29922,29922,What is the line of best fit equation
29923,29923,Is the regression equation the line of best fit
29924,29924,What criteria are used to determine which regression equation is the best fitting line for a set of data
29925,29925,Which of the following methods is used to find the best fit line for data in linear regression
29926,29926,What is raw binary data
29927,29927,What do you do with a binary file
29928,29928,Why do we need binary file
29929,29929,What is the difference between text and binary files
29930,29930,What is a binary file and how do I open it
29931,29931,What is a binary file example
29932,29932,Is JPEG a binary file
29933,29933,What is T in confidence interval
29934,29934,How do you calculate T Cal
29935,29935,What is reinforcement in teaching
29936,29936,What reinforcing techniques you will use
29937,29937,Which is disadvantage of Bayesian classification
29938,29938,How do you calculate LGD
29939,29939,How do you calculate PD and LGD
29940,29940,What are the uses of variance
29941,29941,Is the K Means algorithm deterministic
29942,29942,Why is K means non deterministic
29943,29943,Which of the problem arise in clustering
29944,29944,What is a disadvantage of cluster sampling
29945,29945,What are the disadvantages of clustered settlement
29946,29946,What is the difference between a one sample t test and a two sample t test
29947,29947,Why would you use a 2 sample t test
29948,29948,What is the difference between a t test for dependent means and a t test for independent means
29949,29949,What is the difference between the t test for two independent samples and the t test for two dependent samples eg matched pairs t test ?)
29950,29950,What is the difference between two samples that are dependent and two samples that are independent Give an example of two dependent samples and two independent samples
29951,29951,What are advantages of real time processing
29952,29952,What is distribution in machine learning
29953,29953,Why is the central limit theorem important in statistics quizlet
29954,29954,What is central limit theorem for sampling distributions
29955,29955,What does the central limit theorem tell us about the distribution of those mean ages
29956,29956,What does sampling distribution tell you
29957,29957,What is linear regression in Python
29958,29958,What two things does a correlation coefficient tell us
29959,29959,What does Pearson r Tell us about two variables
29960,29960,What is difference between Pearson and Spearman correlation
29961,29961,What factors can be determined with the correlation analysis
29962,29962,How do you increase correlation coefficient
29963,29963,How do you tell if a test is left or right tailed
29964,29964,What is the parameter being tested
29965,29965,What is SEM data analysis
29966,29966,Is regression linear analysis
29967,29967,How do you find the eigenvectors
29968,29968,How do you find the eigenvectors of a 3x3 matrix
29969,29969,What eigenvector means
29970,29970,How many variables should be tested at once
29971,29971,What is PSU in statistics
29972,29972,What are assumptions of statistical tests
29973,29973,How do you write a statistical assumption
29974,29974,What are the assumptions of statistical tests
29975,29975,What are the basic assumptions of three statistics
29976,29976,What assumptions do we have to make when conducting statistical hypothesis testing
29977,29977,Are statistical assumptions important in every statistical analysis
29978,29978,What assumptions must be satisfied to be able to use a t test
29979,29979,Does the residual plot show that the line of best fit is appropriate for the data Brainly
29980,29980,How do you know if a residual plot is appropriate
29981,29981,What should you see in a residual plot
29982,29982,Which residual plot is best
29983,29983,Which statements describe a residual plot for a line of best fit that is a good model for a scatterplot check all that apply
29984,29984,What are residual plots
29985,29985,Why do Multinomials naive Bayes
29986,29986,What are the benefits of offline classes
29987,29987,How do you handle categorical variables in logistic regression
29988,29988,What sampling distribution will you use
29989,29989,What does normal distribution represent
29990,29990,Why is normality important in hypothesis testing
29991,29991,What is a normal distribution value
29992,29992,What distribution should you use to perform a hypothesis test
29993,29993,When the population mean and standard deviation are known what distribution is used for the analysis of the sample
29994,29994,What distribution would be used to run a hypothesis test on two independent means when the population standard deviations are known
29995,29995,What is a discrete random variable definition
29996,29996,What type of analysis is estimation
29997,29997,What are the types of estimating
29998,29998,Why do we use estimation in statistics
29999,29999,Where is greedy algorithm used
30000,30000,Why Prims algorithm is greedy method
30001,30001,What is the role of NLP where text data involved
30002,30002,What are the features of NLP
30003,30003,What is NLP and its application
30004,30004,Is text mining part of NLP
30005,30005,What is the difference between natural language processing and text mining
30006,30006,What is difference between text mining and text analytics
30007,30007,How do you find the assumption of a logistic regression
30008,30008,Which of the following is as assumption for logistic regression
30009,30009,How do you check assumptions in multiple regression
30010,30010,Does logistic regression assume linearity
30011,30011,How do you check for linearity in multiple regression
30012,30012,How do you know if a relation is linear in R
30013,30013,What are the assumptions for logistic regression
30014,30014,When can you use a normal distribution for a binomial distribution
30015,30015,Why do we use binomial distribution
30016,30016,What does binomial mean in statistics
30017,30017,What does an each outcome in the sample space regarded as
30018,30018,What does the sample space represent
30019,30019,Is Lstm a deep neural network
30020,30020,Is RNN reinforcement learning
30021,30021,What is a nonparametric method
30022,30022,Which is parametric data model
30023,30023,What is parametric and non parametric model
30024,30024,What is uniform distribution function
30025,30025,What is the probability function of standard normal distribution
30026,30026,What is a normal distribution density function
30027,30027,What is a PDF in calculus
30028,30028,How is correlation calculated from covariance
30029,30029,Why is covariance better than correlation
30030,30030,What is the difference between correlation and variance
30031,30031,When the covariance is positive the correlation will be
30032,30032,How do you calculate correlation
30033,30033,How do you find the correlation between two variables in Excel
30034,30034,What is the correlation equation
30035,30035,What is the use of Sklearn in Python
30036,30036,Does Sklearn use TensorFlow
30037,30037,What is the difference between Scikit learn and Sklearn
30038,30038,Why do we use exploratory data analysis
30039,30039,Which of the following is data exploration method
30040,30040,What are the steps in the data exploration process
30041,30041,What is the objective of exploratory data analysis
30042,30042,When can you use at distribution
30043,30043,What is the difference between probabilistic and deterministic
30044,30044,What does learning rate in gradient descent leads to
30045,30045,How do you select learning rate in gradient descent
30046,30046,What is Alpha in gradient descent
30047,30047,What is learning rate in gradient boosting
30048,30048,What is the purpose of the gradient descent algorithm in machine learning
30049,30049,What is an accuracy score
30050,30050,Which statistical test is commonly used to compare two sample means
30051,30051,Why is it useful to compare two samples
30052,30052,How do you find the principal component of a SVD
30053,30053,Why we use K means
30054,30054,What are the strengths of K means algorithm
30055,30055,How can I improve my K mean
30056,30056,Which of the following tasks can be solved using clustering
30057,30057,What are the limitations of K means clustering algorithm
30058,30058,What is difference between text and numeric data type
30059,30059,What is the difference between numeric and number
30060,30060,Why is it so important to control the variables
30061,30061,Why do we include control variables
30062,30062,What does second order derivative mean
30063,30063,What does 2nd derivative tell you
30064,30064,How do you write a second order derivative
30065,30065,What is the problem of second order derivative in edge detection
30066,30066,What are the first order derivative filters
30067,30067,How are the derivatives obtained in edge detection during formulation
30068,30068,What is the second derivative used for
30069,30069,Why is second derivative d2y dx2
30070,30070,Which is weight updation formula of Perceptron network *
30071,30071,How do you update weights in Perceptron
30072,30072,How do you identify syntactic categories
30073,30073,How do you regress data
30074,30074,How do you find statistical data treatment
30075,30075,What are the statistical treatment
30076,30076,What is statistical treatment of data example
30077,30077,How do you know which statistical analysis to use
30078,30078,What is a dichotomous dependent variable
30079,30079,What is a binary response variable
30080,30080,What is a Poisson distribution used for
30081,30081,How do you evaluate a model
30082,30082,How do you make a model more accurate
30083,30083,What does high variance mean in machine learning
30084,30084,How does neural network increase variance
30085,30085,Which of the following will help in reducing variance in a neural network
30086,30086,What is Modelling in AI
30087,30087,What is model complexity How is it related to sample size and regularization
30088,30088,What is AB in statistics
30089,30089,What is a B testing in ML
30090,30090,What is the difference between R2 and R in multiple regression
30091,30091,What does multiple R squared mean in R
30092,30092,What does multiple R tell you
30093,30093,What is a good multiple R squared value
30094,30094,What is interdependent variable
30095,30095,What are parametric tests used for
30096,30096,What is the main purpose of inferential statistical tests
30097,30097,Which of the following is are the disadvantage s of decision tree algorithm
30098,30098,What does a linear regression tell us
30099,30099,How do you use the linear regression forecast indicator
30100,30100,How do you use linear regression in trading
30101,30101,What is empirical distribution in statistics
30102,30102,What is an empirical histogram
30103,30103,How do you find the empirical probability
30104,30104,Is theoretical or experimental probability more accurate
30105,30105,Why are there no error terms in logistic regression
30106,30106,What is meant by a weighted average
30107,30107,What is weights in machine learning
30108,30108,How K means perform the job of clustering explain with an example
30109,30109,What is clustering in text mining
30110,30110,What is the difference between supervised and unsupervised clustering
30111,30111,What is clustering and classification
30112,30112,What is the formula for chi squared
30113,30113,What's the chi square test used for
30114,30114,Why is standard deviation better than average
30115,30115,Why is standard deviation preferred over mean deviation
30116,30116,Is standard deviation better than mean
30117,30117,What does mean deviation tell us
30118,30118,Is mean deviation and standard deviation the same
30119,30119,Is standard deviation in the same units as the mean
30120,30120,How can AI help the world
30121,30121,What is the primary limitation of cluster sampling compared to simple random samples
30122,30122,What is the primary purpose of stratified sampling
30123,30123,How do you solve Multinomials
30124,30124,What is the binomial distribution in statistics
30125,30125,Which is the binomial distribution formula
30126,30126,How do you choose a dependent variable
30127,30127,What is a selection variable in logistic regression in SPSS
30128,30128,Why does SPSS exclude certain variables from a regression
30129,30129,Is computer vision part of artificial intelligence
30130,30130,How many modes are there to operate adaptive equalizer
30131,30131,Why is an adaptive equalizer required
30132,30132,What does LH stand for in texting
30133,30133,What does TCC mean in texting
30134,30134,What is a Rabin and Karp algorithm do
30135,30135,Which of the following is true regarding Rabin Karp algorithm
30136,30136,What is Rabin Karp string matching algorithm
30137,30137,What is the standard deviation of the Chi square distribution
30138,30138,How is variance distributed
30139,30139,What are the parameters for chi square distribution
30140,30140,What is meant by association rule mining
30141,30141,How does the Wilcoxon signed rank test work
30142,30142,How do you calculate Wilcoxon signed rank in SPSS
30143,30143,What is the null hypothesis for Wilcoxon signed rank test
30144,30144,How do we train neural networks
30145,30145,How do you find the Z score in math
30146,30146,How do you determine a better Z score
30147,30147,How do you train a model for object detection
30148,30148,What is deep learning object detection
30149,30149,How are representative samples selected
30150,30150,What is intra rater reliability in research
30151,30151,How do you calculate intraclass correlation
30152,30152,How do you calculate intra rater reliability in SPSS
30153,30153,What is inter rater reliability in assessment
30154,30154,How is a correlational study different from a quasi experiment
30155,30155,What are some of the key differences between descriptive correlational and experimental research
30156,30156,What makes the study experimental rather than correlational
30157,30157,Why logistic regression is better than neural
30158,30158,What are the different approaches of AI
30159,30159,What does markovian mean
30160,30160,How do you test for significance
30161,30161,What do you mean by tests of significance
30162,30162,How do you test for regression significance
30163,30163,Why do we take log in regression
30164,30164,What does taking the log do
30165,30165,Why do we take log of any value
30166,30166,What is the difference between precision and uncertainty
30167,30167,How does the precision of your instrument affect your uncertainty
30168,30168,How does uncertainty connect with measurement
30169,30169,What is the difference between a histogram and a relative frequency histogram
30170,30170,What is the difference between frequency and frequency density
30171,30171,How do you calculate relative frequency and density
30172,30172,What is the formula of frequency density
30173,30173,What is the formula for relative frequency
30174,30174,How do you find the frequency density
30175,30175,How do you find the frequency of a histogram
30176,30176,Why do we calculate frequency density
30177,30177,How do you find the density of a histogram in R
30178,30178,Do Neural networks work for trading
30179,30179,How do you test proportions with hypothesis
30180,30180,What are the 4 ways to test a hypothesis
30181,30181,How do you calculate test statistic
30182,30182,What is the formula for the two sample t statistic
30183,30183,Where does the test statistic come from in a hypothesis test
30184,30184,What is the use of sparse matrix
30185,30185,What are the advantages of sparse matrices over normal matrices
30186,30186,How do you know if a variable is categorical
30187,30187,What is Npq probability
30188,30188,What is Q in a binomial distribution
30189,30189,What do t and p values mean
30190,30190,What is a statistically significant t test
30191,30191,What would cause a smaller p value
30192,30192,How do you do variables with weights
30193,30193,What variable is used for weight
30194,30194,How do you assign weights to a survey
30195,30195,How do you create a weighting variable in SPSS
30196,30196,What is the purpose of a weighting factor
30197,30197,How do you use a weighted scoring model
30198,30198,How do you find the weight factor
30199,30199,How do you do weighting
30200,30200,How do you calculate weightage
30201,30201,How does weighting data work
30202,30202,What is weighting data
30203,30203,What are the different types of event
30204,30204,What are the different types of event management
30205,30205,What are the examples of events
30206,30206,What is an event and its types
30207,30207,What is Event Management Meaning
30208,30208,How do you find the gradient of a regression line
30209,30209,What does the gradient of a regression line show
30210,30210,What does the slope of a linear regression line mean
30211,30211,How do you measure validity and reliability
30212,30212,How do we determine if a test has good validity
30213,30213,How do you create a reinforcement learning environment
30214,30214,How is deep learning different from neural networks
30215,30215,What does a small sample size mean
30216,30216,What is the minimum statistical sample size
30217,30217,How large of a sample size do you need
30218,30218,What is Iqr equal to
30219,30219,Why is the Iqr less than the range
30220,30220,What does the IQR interquartile range represent
30221,30221,What does the epsilon symbol mean
30222,30222,What is the use of Epsilon
30223,30223,Is Epsilon a word
30224,30224,What is Epsilon used for
30225,30225,What is Epsilon in calculus
30226,30226,Who invented Epsilon
30227,30227,What is uniform probability
30228,30228,What is the total area of a uniform distribution
30229,30229,What is the continuous probability distribution
30230,30230,How do you solve probability distribution tables
30231,30231,What is mean median mode and range
30232,30232,What is the purpose of mean and standard deviation
30233,30233,What are random effects in regression
30234,30234,What is security group
30235,30235,What are the different layers of network security on AWS
30236,30236,What is the difference between security group and nacl in AWS
30237,30237,What is nacl in networking
30238,30238,What is the difference between nacl and security groups in AWS
30239,30239,Which layer does a nacl and Security Group operate on
30240,30240,How does removing an outlier affect standard deviation
30241,30241,What effect would outliers have on the mean and the standard deviation of a set of data
30242,30242,Why is the mean most affected by outliers
30243,30243,Is standard deviation inflated by outliers
30244,30244,How do outliers affect the mean and standard deviation
30245,30245,How does an outlier affect the mean and median
30246,30246,How do outliers affect the mean of a data set
30247,30247,Does removing an outlier affect standard deviation
30248,30248,How do you find outliers with standard deviation
30249,30249,What is the 2 standard deviation rule for outliers
30250,30250,How do you determine if a value is an outlier
30251,30251,Does standard deviation use outliers
30252,30252,Do you include outliers in mean
30253,30253,What is the two standard deviation rule for outliers
30254,30254,Why do you fail to reject the null hypothesis
30255,30255,How do you set up a null and alternative hypothesis
30256,30256,How do you type the alternative hypothesis symbol
30257,30257,Is rejecting the null hypothesis significant
30258,30258,Does a probability density function have to be continuous
30259,30259,Why is it called linear
30260,30260,When was linear algebra discovered
30261,30261,Who invented algebra and why
30262,30262,How do you choose a parametric or nonparametric test
30263,30263,What is the most popular parametric correlation test
30264,30264,How do you choose parametric or nonparametric
30265,30265,Which of the following nonparametric tests can be used for a paired difference experiment
30266,30266,Is facial recognition supervised or unsupervised learning
30267,30267,How many types of bias are there
30268,30268,Is stratified sampling simple random sampling
30269,30269,Is stratified sampling non random
30270,30270,What is CNN in AI
30271,30271,Why is CNN image classification
30272,30272,How does CNN image classification work
30273,30273,What points do we conclude from dimensional analysis
30274,30274,How do you find the probability when given the mean
30275,30275,How do you find probability with mean and standard deviation
30276,30276,How do you calculate probability on a TI 84
30277,30277,How do you find the p value using a TI 84
30278,30278,What is lambda in SVM
30279,30279,What is Gamma and C in SVM
30280,30280,What is the measure of center in statistics
30281,30281,What is the center in a histogram
30282,30282,Which of the following is not a measure of central location
30283,30283,Can you use categorical variables in regression
30284,30284,Can you use nominal data for correlation
30285,30285,What is the formula of T score
30286,30286,How do you calculate the T value
30287,30287,What is a standard T score
30288,30288,What is the normal T score for bone density
30289,30289,What is distributional reinforcement learning
30290,30290,What are the two main types of modulation techniques
30291,30291,What is amplitude modulation example
30292,30292,What is amplitude modulation class 12
30293,30293,What is the meaning of amplitude
30294,30294,What is amplitude modulation and frequency modulation
30295,30295,How do you generalize a model
30296,30296,What is poor generalization
30297,30297,Why is random sampling and random assignment in experimental research important
30298,30298,What is the purpose of augmented reality
30299,30299,When was augmented reality first used
30300,30300,What is the purpose of the least squares regression line
30301,30301,What does binomial theorem
30302,30302,Why binomial theorem is used
30303,30303,What is mean by binomial expression
30304,30304,What is the opposite of coefficient
30305,30305,How do you use coefficient in a sentence
30306,30306,What is the coefficient of a term
30307,30307,How do you find the coefficient
30308,30308,What is the coefficient of x3
30309,30309,What are different types of heuristics
30310,30310,Is artificial intelligence a science
30311,30311,Is artificial intelligence a science or is it engineering or neither or both explain
30312,30312,What is AI engineering
30313,30313,What is the formula for sampling distribution
30314,30314,How do you solve sampling
30315,30315,How do you estimate the distribution of data
30316,30316,What is the distribution of data in statistics
30317,30317,What are some examples of learning styles
30318,30318,Which AI is used to extract information from unstructured data
30319,30319,How random forest is different from bagging
30320,30320,Why do we use both variance and standard deviation
30321,30321,Why do we need the variance
30322,30322,What is the purpose of getting the standard deviation
30323,30323,Why is standard deviation more useful than variance
30324,30324,Which ensemble method minimizes variance
30325,30325,Which statistic should be used to analyze data from a pretest posttest design or a control group study
30326,30326,How many neurons are in ResNet
30327,30327,What does sample variance mean
30328,30328,What is estimated error variance
30329,30329,How do you find the variance of the error term
30330,30330,What is error variance
30331,30331,What does ReLU do in Tensorflow
30332,30332,How do you choose an appropriate statistical test for data analysis
30333,30333,What is the best statistical test for seeing if there is a relationship between two categorical variables
30334,30334,What is entropy in communication theory
30335,30335,What are the limitations of inferential statistics
30336,30336,What is the difference between descriptive statistics and inferential statistics quizlet
30337,30337,What is the inferential statistics problem
30338,30338,What is the difference between descriptive and inferential
30339,30339,How do you find the normal probability density function
30340,30340,Is a normal curve a density curve
30341,30341,What are density curves
30342,30342,What is CNN and DNN
30343,30343,What is DNN in deep learning
30344,30344,What is cooperative binding and why does it cause a sigmoidal saturation curve
30345,30345,What does sigmoid curve indicate
30346,30346,Is naive Bayes a neural network
30347,30347,Is the regression coefficient The slope
30348,30348,How do you find a slope of a correlation
30349,30349,Is R equal to slope
30350,30350,What does the slope of a regression line mean
30351,30351,Is b0 a slope
30352,30352,What is deep neural network algorithm
30353,30353,How do you validate K means clusters
30354,30354,How do you validate a cluster
30355,30355,What is the K scale
30356,30356,How is supervised learning different from unsupervised learning techniques
30357,30357,What is the point of stratified sampling
30358,30358,What is reinforcement learning theory
30359,30359,Why is it called reinforcement learning
30360,30360,How do you combine random variables
30361,30361,Is the sum of two normal random variables normal
30362,30362,Can standard deviations be added together
30363,30363,How do you add two probability distributions
30364,30364,What is the product of two normal distributions
30365,30365,Are normal random variables independent
30366,30366,Which programming language is used for AI
30367,30367,How do you code in machine learning
30368,30368,What is entropy used for
30369,30369,What does it mean by entropy of an attribute
30370,30370,How is entropy and enthalpy related
30371,30371,What is the relationship between Q and Delta H
30372,30372,Why can't we use regression formulation for classification
30373,30373,What makes a test accurate
30374,30374,What is accuracy specificity and sensitivity
30375,30375,What is the p value for Z score
30376,30376,How do you find P value from Z on calculator
30377,30377,How do you find the p value from the z test statistic
30378,30378,What is p value in Z test
30379,30379,How does categorical cross entropy work
30380,30380,What are the two components of feature matching
30381,30381,Where do you apply reinforcement learning
30382,30382,How do you reinforce learning
30383,30383,What is random forest and how does it work
30384,30384,Can random forest be used for binary classification
30385,30385,What is the use of activation function
30386,30386,Which activation function is used in Perceptron
30387,30387,Which is the coefficient of determination R or R Squared
30388,30388,What does the error function mean
30389,30389,How do you find the error of a function
30390,30390,What is the error function used for
30391,30391,What is the purpose of the error function
30392,30392,What are Matlab errors
30393,30393,What does ERF mean in Matlab
30394,30394,How does Matlab calculate standard error
30395,30395,Which step of machine learning process takes more time than normally you expect
30396,30396,Which one is a step of model learning in machine learning
30397,30397,Is computer a Turing machine
30398,30398,What is the difference between MDS and PCA
30399,30399,What does a correlation coefficient of 0 indicate
30400,30400,How are word Embeddings calculated
30401,30401,Who invented Word2vec
30402,30402,Is an increase in entropy positive or negative
30403,30403,What happens to a system when entropy increases
30404,30404,Which reaction leads to an increase in entropy
30405,30405,What's an example of increasing entropy
30406,30406,How do you know if entropy is increasing
30407,30407,What are the requirements for regression analysis
30408,30408,Why regression is used in research
30409,30409,Why do researchers use linear regression
30410,30410,How do you assess integrity
30411,30411,What do integrity tests claim to measure
30412,30412,What is meant by non parametric data
30413,30413,What does exogenous mean in statistics
30414,30414,What does endogenous mean in statistics
30415,30415,Why is correlation coefficient better than covariance
30416,30416,What is the difference between covariance and Pearson's correlation coefficient
30417,30417,What is the difference between covariance and coefficient of variation
30418,30418,What is the major weakness of correlational studies
30419,30419,Is s2 an unbiased estimator of the variance
30420,30420,What is an unbiased estimator of a population parameter
30421,30421,What is the purpose of convenience sampling
30422,30422,How do you calculate precision and accuracy
30423,30423,What is a good precision recall score
30424,30424,Why is it called least squares regression
30425,30425,Is least squares regression the same as linear regression
30426,30426,What is the least squares regression model
30427,30427,What is the difference between coefficients R and r2
30428,30428,How do you find mean in a normal distribution
30429,30429,How do you find the dissimilarity of a binary variable
30430,30430,How do you find the dissimilarity of an object in clustering
30431,30431,What do you mean by dissimilarity measure of two objects
30432,30432,What you mean by correlation
30433,30433,What is correlation and types
30434,30434,What is a rank in Matrix
30435,30435,What is factorization in machine learning
30436,30436,How matrices are used in machine learning
30437,30437,What is differencing in statistics
30438,30438,What does E stand for in logarithms
30439,30439,Why is E used as a base
30440,30440,What is the relation between E and log
30441,30441,Is log E the same as LN
30442,30442,What is log E to the base E
30443,30443,What is Matlab vectorization
30444,30444,What does it mean to vectorize a function
30445,30445,Which function is used to automatically vectorize
30446,30446,What is vectorization Matlab
30447,30447,How do you write a vector
30448,30448,What is a vector give an example
30449,30449,What is vector code
30450,30450,What is the difference between R2 and adjusted R2 of the two which do you recommend typically using Why
30451,30451,What does the R2 adjusted actually adjust for
30452,30452,How do you calculate threshold in logistic regression
30453,30453,How is threshold determined for classification algorithms
30454,30454,How do you set the threshold value in logistic regression
30455,30455,When should regression analysis be done
30456,30456,What do you mean by consistency of data
30457,30457,What is multi modal data
30458,30458,What is multimodal AI
30459,30459,What is the role of agent in artificial intelligence
30460,30460,Which can be an agent in artificial intelligence
30461,30461,What are the measures for testing the kurtosis of a distribution
30462,30462,What are the units of skewness
30463,30463,What is skewness explain
30464,30464,What is skewness in machine learning
30465,30465,What are the effects of autocorrelation on the OLS estimator
30466,30466,How do you calculate recall score from confusion matrix
30467,30467,How do you find precision and recall from confusion matrix in python
30468,30468,How do you calculate precision and recall from confusion matrix in Matlab
30469,30469,How do you read a multi class confusion matrix
30470,30470,What are the kinds of probability sampling
30471,30471,Which Nonprobability sampling method is probably most often
30472,30472,What is relative frequency probability
30473,30473,What is a genetic algorithm in artificial intelligence
30474,30474,How do you determine which is the independent variable
30475,30475,Is independent variable the predictor
30476,30476,What is the difference between the independent dependent predictor outcome response variables
30477,30477,What is the meaning of predictor variable
30478,30478,Why do we need linear regression
30479,30479,Who created the term AI
30480,30480,Where did the term AI come from
30481,30481,How was AI discovered
30482,30482,How do you change a tensor shape
30483,30483,How do you resize a tensor
30484,30484,How does Tensorflow reshape work
30485,30485,What is the key characteristic of the binomial distribution
30486,30486,What are the parameters of a binomial distribution
30487,30487,What makes something binomial
30488,30488,What is a good standard deviation percentage
30489,30489,How do you determine homogeneity in statistics
30490,30490,What is the test of homogeneity of variance
30491,30491,What is the difference between a test of independence and a test of homogeneity
30492,30492,What is the problem with Heteroskedasticity
30493,30493,How do you check for Heteroskedasticity in R
30494,30494,Where is experimental research used
30495,30495,What type of memory is associative
30496,30496,What is associative memory in neural network
30497,30497,Which type of networks can be used for auto association & pattern storage
30498,30498,What is machine learning theory
30499,30499,Why theories of learning are important
30500,30500,What is a multiclass problem
30501,30501,What is the role of filters in image processing
30502,30502,How does LMS algorithm work
30503,30503,What does residuals mean in regression
30504,30504,What does it mean if the residual is positive
30505,30505,What is the effect on the coefficients of logistic regression if two predictors are highly correlated
30506,30506,What tests for the presence of auto correlation between residuals
30507,30507,What do you mean by partitioning
30508,30508,Does partitioning improve performance
30509,30509,What is meant by one way Anova
30510,30510,What is the difference between a one way and two way Anova
30511,30511,What data structure would you use to perform a depth first search
30512,30512,Where is DFS Management snap in
30513,30513,For what values of A is the matrix invertible
30514,30514,What does it mean for a transformation to be invertible
30515,30515,Why is it important to use random selection
30516,30516,Which uses random sampling
30517,30517,What are the characteristics of random sampling
30518,30518,How is marginal effect calculated
30519,30519,What is marginal impact
30520,30520,What is an isolated system answers
30521,30521,How can a study show causation
30522,30522,How is causation determined
30523,30523,What study can prove causation
30524,30524,When would you use a sigmoid kernel
30525,30525,What's the difference between computer vision and image processing
30526,30526,What is an image in computer vision
30527,30527,What are the uses of computer vision
30528,30528,How do you mitigate bias in AI
30529,30529,What is Word2vec trained on
30530,30530,What is language Modelling in NLP
30531,30531,Is a non parametric test
30532,30532,Is at test a regression
30533,30533,Why decision tree is non parametric
30534,30534,How do precision and accuracy compare
30535,30535,What is the purpose of precision and accuracy
30536,30536,How do accuracy and precision relate to reporting information Brainly
30537,30537,How do we represent precision in reporting a measurement
30538,30538,How can accuracy and precision affect the result of a measurement
30539,30539,What does a low P value tell you
30540,30540,What happens if the p value is less than the significance level
30541,30541,What does R2 value mean
30542,30542,Why is coefficient of determination calculated
30543,30543,What does the r2 value tell you
30544,30544,What does the coefficient mean
30545,30545,How do you resolve the issue of uncertain knowledge in AI
30546,30546,What are the factors of artificial intelligence
30547,30547,What are the problems with artificial intelligence
30548,30548,What types of problems should be solved by artificial intelligence
30549,30549,What are some disadvantages of artificial intelligence
30550,30550,What is conditional distribution in statistics
30551,30551,Which countries use artificial intelligence
30552,30552,What is cluster and types of cluster
30553,30553,What is clustering discuss different types of clustering
30554,30554,What is cluster analysis explain
30555,30555,What is big data explain with example
30556,30556,What is meant by big data
30557,30557,How many sample points are there
30558,30558,What is a sample point
30559,30559,How do you know how many elements are in a sample space
30560,30560,What is the element of sample space
30561,30561,How do you find the disjoint set
30562,30562,What makes something disjoint
30563,30563,How do you know if you are disjoint
30564,30564,Why is edge detection important in image processing
30565,30565,How segmentation of the image is achieved using edge detectors
30566,30566,Why is Sobel edge detected
30567,30567,What does residual sum of squares tell us
30568,30568,How do you determine the validity of a regression model
30569,30569,How do you determine which variable is most important
30570,30570,How do you find the predictor variable
30571,30571,What are the differences between best first search and hill climbing search with examples )
30572,30572,What is AO * algorithm
30573,30573,What are the limitations of A * and AO * algorithm
30574,30574,What is the evaluation function in a * approach
30575,30575,What is LDA in Pakistan
30576,30576,What does the median tell you in statistics
30577,30577,Why is median used
30578,30578,How is mean median mode and range used in real life
30579,30579,What are some real life situations in which the median is preferable to the mean as a measure of central tendency
30580,30580,Is the mean or median better for central tendency
30581,30581,What is content based filtering Everfi
30582,30582,What is content based and collaborative filtering
30583,30583,Why do neural networks Overfit
30584,30584,Is OLS regression the same as linear regression
30585,30585,How do you find accuracy in statistics
30586,30586,What is accuracy and how do we measure it
30587,30587,How do you measure accurately
30588,30588,How do you prove a unitary matrix
30589,30589,What is the eigenvalue of a matrix
30590,30590,What does the eigenvalue represent
30591,30591,What is the formula of mean in continuous series
30592,30592,How do you find the mean of continuous data
30593,30593,How do you find the median of a continuous series
30594,30594,How can we calculate the standard deviation from the series
30595,30595,What is the formula of continuous series
30596,30596,What is the formula for calculating standard deviation in individual series
30597,30597,Why do we find mean deviation
30598,30598,How do you find the mean median and standard deviation of grouped data
30599,30599,What is the formula for standard deviation for grouped data
30600,30600,What is big data and the relationship with data mining
30601,30601,Is data mining part of big data
30602,30602,How does data mining and big data analytics differ in terms of their application
30603,30603,Is data mining and data analysis same
30604,30604,What data analytics include
30605,30605,Whats is big data
30606,30606,What is big data give example
30607,30607,What is big data in data mining
30608,30608,What is the role of big data
30609,30609,How do you mine big data
30610,30610,What does the range represent in data
30611,30611,What mid range means
30612,30612,What is midrange of data
30613,30613,What Expected variable
30614,30614,How do you find the expected value and variance
30615,30615,Why is mean used in statistics
30616,30616,What does the mean in statistics tell us
30617,30617,How do you know if a Venn diagram is independent
30618,30618,What does it mean for an event to be independent
30619,30619,What does independent events mean in probability
30620,30620,What is an adversarial example
30621,30621,What do you mean by time series
30622,30622,What is a time series problem
30623,30623,What measures the linear relationship between two variables
30624,30624,What measures the strength of the linear relationship between the dependent and the independent variable
30625,30625,How do you quantify the relationship between two variables
30626,30626,What are the time series forecasting methods
30627,30627,What is time series classification
30628,30628,What is artificial intelligence and its uses
30629,30629,What could general artificial intelligence be used for
30630,30630,Is location a continuous variable
30631,30631,What do you mean by uncertainty in AI
30632,30632,What are the basic assumptions of linear regression
30633,30633,What is β1 in regression
30634,30634,Is TensorFlow based on Python
30635,30635,What is the meaning of test validity
30636,30636,Which of the following represents the probability of a Type II error
30637,30637,Why does the probability of making a Type II error increase as we decrease our probability of making a Type I error
30638,30638,How do you reduce type I and type II errors
30639,30639,What are the advantages of classification of data
30640,30640,What are the disadvantages of data mining
30641,30641,What are the problems with the classification system
30642,30642,Can you teach yourself to multitask
30643,30643,What makes it more difficult for you to perform multiple tasks
30644,30644,How can I improve my ability to multitask
30645,30645,How do you deal with autocorrelation in regression
30646,30646,Why is autocorrelation a problem in regression
30647,30647,What is the problem of autocorrelation in a regression model
30648,30648,What is interpretation in AI
30649,30649,What does the kappa value mean
30650,30650,How do you make a box plot with data
30651,30651,How is mean represented in box plot
30652,30652,What are the benefits of using scatter plots with box plots
30653,30653,How would you describe positively skewed data
30654,30654,How do you interpret skewness
30655,30655,How do you interpret skewness and kurtosis in SPSS
30656,30656,What does skewness mean in SPSS
30657,30657,What does the skewness statistic indicate
30658,30658,What is the inductive bias in id3 algorithm
30659,30659,What is inductive learning in ML
30660,30660,What is bias in ML
30661,30661,How do you interpret r2 value
30662,30662,What does an r2 value of 0.6 mean
30663,30663,What does r squared equal to 1 mean
30664,30664,How do you find the coefficient of determination
30665,30665,Is coefficient of determination r 2
30666,30666,What are the possible causes of autocorrelation
30667,30667,What is lag ACF plot
30668,30668,What are the objectives of statistics
30669,30669,Why is it important to learn statistics
30670,30670,What do you learn from statistics
30671,30671,What are three important reasons for studying statistics
30672,30672,Why are statistics needed
30673,30673,Why do we need statistics give three reasons
30674,30674,How does forward selection work
30675,30675,Is R2 only for linear regression
30676,30676,Why is there no r squared for nonlinear regression
30677,30677,What is the importance of R2 in simple linear regression
30678,30678,What is signal processing means
30679,30679,What is quantization theory explain
30680,30680,What are the applications of CNN
30681,30681,Why would we use a density curve
30682,30682,What density plot tells us
30683,30683,What is density curve definition
30684,30684,What are the characteristics of a density curve
30685,30685,What is a density curve quizlet
30686,30686,How do you draw a density curve
30687,30687,What does Knn stand for
30688,30688,What happens to a T distribution as the sample size increases
30689,30689,What happens to the shape of the distribution of sample means as sample size increases
30690,30690,What is the sum of the probabilities in any probability distribution
30691,30691,What is the probability of uniform distribution
30692,30692,How do you recognize deception
30693,30693,What is an example of deception
30694,30694,What is an act of deception
30695,30695,Is deception the same as lying
30696,30696,What are signs of deception
30697,30697,How is Knn implemented
30698,30698,What is the opposite of beat
30699,30699,What does stochasticity mean
30700,30700,What is the opposite of overestimate
30701,30701,What is the opposite of prove
30702,30702,What is the difference between stochastic and deterministic
30703,30703,What are the applications areas in AI
30704,30704,What does average deviation tell us
30705,30705,Is it better to have a high or low standard deviation
30706,30706,What does it mean to interpret the standard deviation
30707,30707,Does the Monty Hall problem work
30708,30708,What is interval scale of measurement
30709,30709,How do you calculate the sample size needed to estimate the population mean
30710,30710,How do you find the population mean of a sample mean
30711,30711,What are sample statistics used for
30712,30712,What kind of data is used in estimation
30713,30713,What is entropy coding in image compression
30714,30714,How does K mean work
30715,30715,Can K means be used for regression
30716,30716,Why is the median not affected by extreme values
30717,30717,Is median affected by outliers
30718,30718,What does correlation and covariance measure quizlet
30719,30719,What's a good covariance
30720,30720,How will artificial intelligence improve our lives
30721,30721,Does artificial intelligence redefine your notion of humanity
30722,30722,How does artificial intelligence affect humans
30723,30723,What is the loss function in logistic regression
30724,30724,How do you find the normal approximation to the binomial distribution
30725,30725,What is mean by network analysis
30726,30726,What is the use of network analysis
30727,30727,What are the types of network analysis
30728,30728,Why is network analysis important
30729,30729,Which is the tool to analyze network
30730,30730,What is the difference between a local minimum and a global minimum
30731,30731,What is the difference between maxima and local maxima
30732,30732,What is the relationship between mean and median
30733,30733,How do the mean and median compare as measures of center
30734,30734,Are the mean and median the same in a uniform distribution
30735,30735,How does mean and median compare
30736,30736,Is the mean greater than the median in a normal distribution
30737,30737,What is the relationship between mean median and mode in a normal distribution
30738,30738,What is the relationship between mean mode and median
30739,30739,What is the relationship among the mean median and mode in a symmetric distribution quizlet
30740,30740,How would you use the P value to make a decision about the null hypothesis
30741,30741,What indicates statistical significance
30742,30742,When should you transform data
30743,30743,When should you transform skewed data
30744,30744,How do you back transform log data
30745,30745,What is the inverse operation of log
30746,30746,How do you find the inverse of a natural log function
30747,30747,What does a simple linear regression show
30748,30748,Is the linear model appropriate for modeling data
30749,30749,What is an acceptable coefficient of variation
30750,30750,What is an appropriate measure of variation
30751,30751,What does strata mean in statistics
30752,30752,What is a strata variable
30753,30753,What is a strata in statistics
30754,30754,How are expert systems created
30755,30755,What are the two parameters that are involved in normal distribution
30756,30756,What does temporal analysis mean
30757,30757,What is temporal dimension in GIS
30758,30758,For what values of the learning rate will gradient descent converge to the minimum
30759,30759,How do you interpret ROC AUC
30760,30760,What does area under the curve tell you
30761,30761,How do you describe sample size
30762,30762,Which test is used when two groups are correlated
30763,30763,What is Jaccard coefficient explain with example
30764,30764,What is Jaccard index in machine learning
30765,30765,What is a good similarity index on Turnitin
30766,30766,How do you calculate similarity index
30767,30767,What is bootstrap in data mining
30768,30768,Which distribution has equal mean and variance
30769,30769,In which probability distribution mean and variance are same
30770,30770,Are mean and variance the same
30771,30771,How do you find the standard deviation of a Poisson distribution
30772,30772,Can you convert a text file to CSV
30773,30773,How do I change a text file to a file
30774,30774,How do I convert .txt to MP4
30775,30775,What type of test is a chi square test
30776,30776,Is chi square test descriptive statistics
30777,30777,What type of analysis is t test
30778,30778,What is the z score corresponding to the median
30779,30779,How do you find the area of a shaded region z score
30780,30780,How do you find area with Z score
30781,30781,How do you find the Z score such that the area under the standard normal curve
30782,30782,Is regression always linear
30783,30783,How do you calculate nonlinear regression
30784,30784,What is neuron in artificial intelligence
30785,30785,How is density measured
30786,30786,What is density and how do we measure it
30787,30787,What is the measuring tool for density
30788,30788,What is density the measure of
30789,30789,What do density values tell us
30790,30790,How do you calculate density example
30791,30791,How do you find density with Grams and mL
30792,30792,What is a unit of density
30793,30793,What does a scale actually measure
30794,30794,How do we measure density
30795,30795,What is camera binning
30796,30796,Is Google an AI
30797,30797,Is a search engine AI
30798,30798,How do you calculate degrees of freedom for at test
30799,30799,How do you find the degrees of freedom for a chi square test of independence
30800,30800,What is degree of freedom in Chi square distribution
30801,30801,How many degrees of freedom are there for the chi square test statistic
30802,30802,What is the meaning of degree of freedom in chi square test
30803,30803,How do you compute DF for the chi square test for goodness of fit quizlet
30804,30804,How do you do the goodness of fit test
30805,30805,What is an image back up
30806,30806,What accurately describes an image based backup
30807,30807,What is the difference between a system image backup and a file backup
30808,30808,What is file level recovery
30809,30809,When should a paired t test be performed instead of a two sample t test a paired t test should be performed instead of a two sample t test when the observations within each sample are dependent A paired t test should be performed instead of a two
30810,30810,What is a paired sample t test and when is it used
30811,30811,How do you know if a paired t test is significant
30812,30812,Under what condition should we use the t test for the matched samples
30813,30813,What is the null hypothesis for a paired t test
30814,30814,How can you tell if data is discrete
30815,30815,What is considered discrete
30816,30816,What is an AI translator
30817,30817,Is Google translate AI
30818,30818,Why is it called binomial distribution
30819,30819,What is the use of log transformation
30820,30820,How do you calculate log transformation
30821,30821,Which of the following analysis is done when you have two dependent variables Brainly
30822,30822,Which of the following analysis is done when you have two dependent variables Coursehero
30823,30823,Can a study have two dependent variables
30824,30824,Which analysis is the simultaneous analysis of two variables
30825,30825,How do I compare two variables in SPSS
30826,30826,Can two dependent variables be correlated
30827,30827,How do you compare independent and dependent variables
30828,30828,What are two variable statistics
30829,30829,What does it mean for 2 variables to have an association
30830,30830,How do you find the Z score of skewness
30831,30831,Are Z scores rounded
30832,30832,What is the difference between correlation association and causation
30833,30833,What does correlation mean
30834,30834,How do I get rid of an association
30835,30835,What does CA stand for
30836,30836,What does CA mean in states
30837,30837,Is California a state
30838,30838,Can XGBoost be used for regression
30839,30839,Is XGBoost linear regression
30840,30840,How does XGBoost regression work
30841,30841,What is XGBoost regression
30842,30842,Is gradient boosting linear
30843,30843,Can gradient boosting be used for regression
30844,30844,Is XGBoost a linear model
30845,30845,Which series are listed in a class interval
30846,30846,What is the difference between regression and time series forecasting
30847,30847,What is difference between prediction and forecasting
30848,30848,How can you prevent bias in an experiment
30849,30849,How can bias affect an investigation
30850,30850,What are the consequences of bias
30851,30851,What is variation and standard deviation
30852,30852,What does the mean and standard deviation mean
30853,30853,What does the value of standard deviation tell you
30854,30854,What is the definition of the metric system
30855,30855,What is the metric system called
30856,30856,How do you improve test accuracy
30857,30857,How do you model a neural network
30858,30858,What is Gaussian in image processing
30859,30859,How many and which basic image processing processes are performed by a Laplacian of Gaussian LoG filter
30860,30860,What does kernel mean in SVM
30861,30861,What is support vector machine explain its model
30862,30862,What is SVM RBF kernel
30863,30863,What does anomaly mean
30864,30864,How do you find the normal distribution of the uniform distribution
30865,30865,Can any distribution be converted to a normal distribution
30866,30866,How does a machine learning algorithm learn
30867,30867,Is P value of 0.000 significant
30868,30868,Is 0.008 statistically significant
30869,30869,What is a normal distribution and what conditions make a distribution normal quizlet
30870,30870,Is reinforcement learning supervised learning
30871,30871,What do we mean by a linear regression model
30872,30872,How does the central limit theorem relate to confidence intervals
30873,30873,What conditions are necessary for creating confidence intervals for the population mean
30874,30874,What is output unit with example
30875,30875,What is input unit example
30876,30876,What is the difference between input unit and output unit
30877,30877,What IO means
30878,30878,What is input or output unit
30879,30879,How do you interpret a negative coefficient
30880,30880,What does a negative coefficient mean in logistic regression
30881,30881,How do you explain a negative correlation
30882,30882,How do you find critical value on TI 84
30883,30883,Where is the nCr button on a TI 84
30884,30884,How do you improve linear regression
30885,30885,How do you increase the accuracy of a linear regression model
30886,30886,What makes a good linear model
30887,30887,How many types of inferential statistics are there
30888,30888,What are the 4 types of inferential statistics
30889,30889,What are inferential statistical tests
30890,30890,What are inferential methods
30891,30891,What are the two main branches of inferential statistics
30892,30892,What are the methods of inferential statistics
30893,30893,What are the two types of statistical methods
30894,30894,Why do we use odds ratio for Case Control
30895,30895,What does the odds ratio estimate in a case control study
30896,30896,Can odds ratio be used in Cohort Study
30897,30897,How do you validate data in machine learning
30898,30898,What is the difference between probability and statistical inference
30899,30899,What is probability probability and statistics
30900,30900,How does understanding probability help us understand statistics
30901,30901,Who made important links between probability and statistics
30902,30902,What is the difference between statistical inference and probability
30903,30903,How are probability and statistics applied in real life
30904,30904,What is the concept of probability in statistics
30905,30905,What is the application of probability and statistics
30906,30906,What is the use of exploratory data analysis
30907,30907,What is FC in CNN
30908,30908,How many types of convolution are there
30909,30909,What is the importance of estimation
30910,30910,What is the meaning of Z score
30911,30911,Are covariates independent variables
30912,30912,What is the purpose of covariates
30913,30913,What is a covariate in Anova
30914,30914,What are factors and covariates in SPSS
30915,30915,Which of the following sentences best describes a covariate
30916,30916,Which is not a regularization method *
30917,30917,What does regularization do
30918,30918,Can you find mean and median from histogram
30919,30919,Is the center of a histogram the median
30920,30920,How do you know if something is a statistic or parameter
30921,30921,What is the difference between parameters and statistics given an example
30922,30922,Is μ a parameter or a statistic
30923,30923,What statistic means
30924,30924,What is amplitude and phase spectrum
30925,30925,What is amplitude density spectrum
30926,30926,What is Fourier amplitude
30927,30927,What is an amplitude spectrum
30928,30928,How do you find amplitude of a signal
30929,30929,What is magnitude in Fourier Transform
30930,30930,What is the magnitude of a signal
30931,30931,How do you read a FFT plot
30932,30932,Why P value is not significant
30933,30933,What does frequency mean in statistics
30934,30934,What is a multimodal approach
30935,30935,What is the meaning of epoch in neural network
30936,30936,What is an epoch in neural network
30937,30937,Why are multiple epochs needed for deep learning
30938,30938,What is variable define with example
30939,30939,What does a correlation of 0.03 mean
30940,30940,How do you get Excel to count frequency of a value
30941,30941,What are the types of validity in assessment
30942,30942,What is meant by validity and reliability in assessment
30943,30943,What is reliability in assessment
30944,30944,How do you know if an assessment is valid and reliable
30945,30945,How do you ensure validity reliability and fairness of assessment decisions
30946,30946,What is the difference between validity and reliability give an example of each
30947,30947,What is the critical value of F at the 0.02 level of significance
30948,30948,What is the critical value for alpha .01 two tailed test
30949,30949,What is non causal association
30950,30950,What does it mean to say that correlation is not causation
30951,30951,Which services return bounding box coordinates
30952,30952,What is meant by basis function
30953,30953,What is an image filter
30954,30954,What is smoothness in image processing
30955,30955,What is smoothing spatial filter
30956,30956,What is image smoothing and sharpening
30957,30957,How are decision trees used
30958,30958,How does decision tree work in machine learning
30959,30959,When would you use random forest over SVM
30960,30960,What is a fallacy
30961,30961,How do you find a data set
30962,30962,What is a way to find a set of data in a range
30963,30963,How do I download datasets for machine learning
30964,30964,What is datasets for machine learning
30965,30965,What are some sources of data that could be used for machine learning
30966,30966,What do you understand by computer vision
30967,30967,Why Computer vision is good for deep learning
30968,30968,How do you prove two events are not independent
30969,30969,Are two independent events complementary
30970,30970,How do you prove that complement and B complement are independent
30971,30971,How do you solve for class boundaries
30972,30972,Can class boundaries be negative
30973,30973,How is AUC value calculated
30974,30974,How do you find the AUC trapezoidal rule
30975,30975,What is AUC area under the curve
30976,30976,What are the different dimensions of international communication
30977,30977,What are the theories of international communication
30978,30978,What is the purpose of using randomized quicksort over standard quick sort
30979,30979,How do you use divergence theorem
30980,30980,How do you calculate divergence
30981,30981,What does divergence mean in math
30982,30982,How do I read ARMA model results
30983,30983,What does the normality test tell us
30984,30984,What does P value mean in normality test
30985,30985,What is a good P value for normal distribution
30986,30986,How do I know if my p value is normally distributed
30987,30987,How do you describe uniform distribution
30988,30988,What are the properties of uniform distribution
30989,30989,Why do we classify images
30990,30990,How many images are there in image classification
30991,30991,What is SPSS test
30992,30992,How do you do statistics in SPSS
30993,30993,What is P in binomial distribution
30994,30994,How do you find P in a probability distribution
30995,30995,How do you find the probability of a binomial model
30996,30996,How do you find probability using N and P
30997,30997,What is N and P in binomial distribution
30998,30998,Under what conditions would a test be considered a one tailed test
30999,30999,Is normalization required for linear regression
31000,31000,Do we need to normalize test data
31001,31001,What does normalize data mean
31002,31002,What's the meaning of normalize
31003,31003,How do you Normalise data
31004,31004,When did AI begin
31005,31005,How long has artificial intelligence existed
31006,31006,How do you make a deep learning model
31007,31007,How do I create a TensorFlow model
31008,31008,How do I create a deep neural network
31009,31009,What is partitioning and how is it used
31010,31010,How does artificial neural network work
31011,31011,What does unconscious bias mean
31012,31012,What is unconscious bias examples
31013,31013,How do you identify unconscious bias
31014,31014,What is the relationship between entropy and knowledge
31015,31015,How do you find the entropy of an image
31016,31016,What is entropy in image compression
31017,31017,What is energy of an image
31018,31018,Does the sample mean equal the population mean
31019,31019,How do you determine sample and population
31020,31020,How do we calculate population
31021,31021,How do you infer population mean from sample mean
31022,31022,Is range a measure of distance
31023,31023,Is the range is a measure of central tendency
31024,31024,Is range a statistic
31025,31025,Is range a measure of spread
31026,31026,Is spread and range the same thing
31027,31027,What is the purpose of a measure of location quizlet
31028,31028,What is AIC and BIC in regression
31029,31029,How do you calculate AIC
31030,31030,What is BIC and AIC
31031,31031,What is AIC in machine learning
31032,31032,How is BIC calculated
31033,31033,What makes a binomial experiment
31034,31034,What is the use of expert system
31035,31035,What is statistical analysis in data science
31036,31036,What is Anova explain its uses and applications
31037,31037,Why is it called Anova
31038,31038,What can cause bias
31039,31039,How do you eliminate bias in statistics
31040,31040,What is a biased sample in statistics
31041,31041,How is statistics used in sociology
31042,31042,How can keras reduce learning rate
31043,31043,What are the limitations of intelligence test
31044,31044,What are the limits of human intelligence
31045,31045,What are the pros and cons of intelligence testing
31046,31046,Under what conditions is it reasonable to assume that a distribution of means will follow a normal curve
31047,31047,Why do we consider sampling distribution
31048,31048,What is the standard error of a sampling distribution
31049,31049,Why is sampling distribution normal
31050,31050,What is the purpose of exploratory factor analysis
31051,31051,How do you do exploratory factor analysis
31052,31052,What are the two main forms of factor analysis
31053,31053,What is advanced artificial intelligence
31054,31054,What is the most advanced form of artificial intelligence
31055,31055,What technology is used in artificial intelligence
31056,31056,What is probabilistic model in information retrieval
31057,31057,What is a vector data model
31058,31058,What is vector data model in GIS
31059,31059,What is the difference between vector and raster data models
31060,31060,What are the text retrieval methods and explain
31061,31061,What is segmentation of an image
31062,31062,What are the two approaches to segmentation in image processing
31063,31063,What is image segmentation PDF
31064,31064,What is image segmentation and its types
31065,31065,What is image segmentation in data science
31066,31066,Which method is used for image segmentation
31067,31067,Why do we need thresholding in image processing
31068,31068,What is the difference between standard deviation and sample variance
31069,31069,Is sample variance the same as standard error
31070,31070,What is sample variance and population variance
31071,31071,What do you mean by central tendency in statistics
31072,31072,What is central tendency and its types
31073,31073,How do you calculate central value
31074,31074,What is central value in statistics
31075,31075,Which is the measure of central value
31076,31076,What is the importance of probability sampling for qualitative researchers
31077,31077,How do I encrypt text with RSA
31078,31078,What is RSA encryption and how does it work
31079,31079,What is the mode interval for the set of data
31080,31080,What does modal mean
31081,31081,What is the formula for mode
31082,31082,How do you calculate the mode if there are two
31083,31083,How do you find the mode and median
31084,31084,What is segmentation ML
31085,31085,What is the difference between segmentation and classification
31086,31086,Why is segmentation needed in image processing
31087,31087,How segmentation is done in image processing
31088,31088,What are the types of segmentation in image processing
31089,31089,What is mask in segmentation
31090,31090,What does masking an image mean
31091,31091,What is K classification
31092,31092,Do you need to standardize data for K means
31093,31093,What does a paired t test tell you
31094,31094,What is the difference between a paired t test and a regular t test
31095,31095,What is an example of a paired t test
31096,31096,When would you use an unpaired t test
31097,31097,Why do decision trees have high variance
31098,31098,What is the most appropriate measure of spread for a dataset which is highly skewed to either the left or right
31099,31099,Is skewness a measure of spread
31100,31100,How does CNN filter work
31101,31101,What is target variable in regression
31102,31102,Do we need to scale dependent variable
31103,31103,Do we need to scale data for linear regression
31104,31104,Why do we scale variables
31105,31105,How do I get task scheduler to run in the background
31106,31106,What does 0x1 mean in Task Scheduler
31107,31107,Why is it important to identify and control variables
31108,31108,What would happen if we do not identify the control variable
31109,31109,What is the importance of variables
31110,31110,What is the saddle point of a matrix
31111,31111,How do you calculate saddle points
31112,31112,How do you find a saddle point
31113,31113,What is saddle point
31114,31114,How do you find local Max and saddle points
31115,31115,Are saddle points local maximum minimum
31116,31116,How is cluster analysis calculated
31117,31117,What are density plots used for
31118,31118,What does density plot y axis mean
31119,31119,How do you draw a probability density function
31120,31120,How do you graph probability distribution functions
31121,31121,How do you graph probability density in Excel
31122,31122,How do you find the probability of a density curve
31123,31123,What is significance level in regression analysis
31124,31124,What is SIG in regression
31125,31125,What is a 0.01 significance level
31126,31126,What is difference between actual and formal parameter
31127,31127,What is the difference between actual parameter and formal parameter in C
31128,31128,What are generative and discriminative classifiers
31129,31129,What does Fourier analysis do
31130,31130,How does fourier transform work
31131,31131,What are the 4 steps to solving an equation
31132,31132,How do you determine if a portfolio lies on the efficient frontier
31133,31133,What does it mean when a variable is continuous
31134,31134,What does the Z value tell you
31135,31135,Why do we use skewness and kurtosis
31136,31136,What does negative value of kurtosis mean
31137,31137,What is input to a classifier
31138,31138,What are different types of classifiers
31139,31139,What is meant by TF term frequency
31140,31140,What is ROC in machine learning
31141,31141,What is General Intelligence quizlet
31142,31142,Which procedure is used to identify clusters of related items that define g or general intelligence
31143,31143,Why is a scatter plot important
31144,31144,How do the points of the scatter plot fit the regression line
31145,31145,What is scatter diagram and how is it useful in the study of correlation
31146,31146,What is the regression line in a scatter plot
31147,31147,What is a scatter plot used to show
31148,31148,What is K in data
31149,31149,What is the meaning of K in K means clustering
31150,31150,What are the limitations of normal distribution
31151,31151,Why should errors be normally distributed
31152,31152,Can a normal distribution be used as a model for the variable
31153,31153,Under what circumstances will the distribution of sample means be normal
31154,31154,Under what conditions will the sampling distributions of the sample mean be normal
31155,31155,What is the difference between population mean and sample mean
31156,31156,What is the difference between mean and Mu
31157,31157,What describes auto associative network
31158,31158,What is the difference between observed values and predicted values in regression
31159,31159,What does it mean for two categorical variables to be associated
31160,31160,What are the principles of sampling
31161,31161,What do you use logistic regression for
31162,31162,What are the statistical tools
31163,31163,What is statistical tool in research
31164,31164,What is the purpose of tests of statistical significance in an experiment
31165,31165,When testing for the difference between the means of two related populations the usual null hypothesis for the test is
31166,31166,What type of test statistic is used for a two proportion hypothesis test
31167,31167,What is the test statistic for the difference between the means
31168,31168,What does simple regression mean
31169,31169,What do we mean when we say that a simple linear regression model is statistically useful
31170,31170,What is meant by simple regression
31171,31171,How does sample size effect a study
31172,31172,What is the difference between standard error and sampling error
31173,31173,How does sample size affect effect size
31174,31174,What does a normal curve show
31175,31175,What are the characteristics of a normal distribution curve
31176,31176,What determines the shape of a normal distribution curve
31177,31177,What is fold in machine learning
31178,31178,What is the purpose of using multiple regression analysis
31179,31179,What is the meaning of multiple regression
31180,31180,What is meant by multiple regression analysis in machine learning
31181,31181,What is linear and multiple regression
31182,31182,Is linear regression the same as multiple regression
31183,31183,Why are support vector machines a popular machine learning technique
31184,31184,Who invented variational Autoencoders
31185,31185,Why do we use Autoencoders
31186,31186,What are Denoising Autoencoders
31187,31187,Is big data the same as AI
31188,31188,Does AI need big data
31189,31189,What is the relationship between big data and artificial intelligence
31190,31190,Does AI use data
31191,31191,What is logistic population growth model
31192,31192,How do you find the logistic growth model
31193,31193,What means logistic growth
31194,31194,Why is it called logistic growth
31195,31195,What is an assumption of the logistic model of population growth quizlet
31196,31196,Which of the following is an assumption made by the logistic model
31197,31197,What are the virtues of the logistic model
31198,31198,Is the logistic growth model an accurate predictor of human population growth
31199,31199,What is the equation for population size
31200,31200,What is Tokenize NLP
31201,31201,What does Tokenizing mean
31202,31202,What is the meaning of data analysis
31203,31203,What is data analysis and why is it important
31204,31204,What do you mean by data analysis
31205,31205,What do you write in a data analysis
31206,31206,What are the major types of data analysis
31207,31207,How many types of data analytics are there
31208,31208,Is error normally distributed
31209,31209,What is an error distribution
31210,31210,Do residuals have to be normally distributed
31211,31211,How do you find simple random sampling
31212,31212,How do you find simple random sample on TI 84
31213,31213,What is simple random sampling advantages and disadvantages
31214,31214,What is simple random sampling in research
31215,31215,What is the purpose of sampling
31216,31216,What is the difference between a binomial and geometric distribution
31217,31217,Is likelihood same as probability
31218,31218,How do you calculate cumulative probability
31219,31219,How do you test for Multicollinearity in logistic regression
31220,31220,Is Multicollinearity a problem in logistic regression
31221,31221,What is collinearity diagnostics SPSS
31222,31222,How do you handle multicollinearity in regression
31223,31223,How do you deal with Multicollinearity in R
31224,31224,How do you check for Multicollinearity in logistic regression in R
31225,31225,What is meant by the term decision analysis
31226,31226,What is mean by reinforcement learning
31227,31227,What is list in data structure and algorithm
31228,31228,What is the example of correlational
31229,31229,What is correlational in your own words
31230,31230,What is the meaning of correlation in statistics
31231,31231,How do you find the weighted mean difference
31232,31232,How do you calculate mean difference between effect size
31233,31233,What does an ACF plot show
31234,31234,How do you find ACF in R
31235,31235,What is cross correlation in time series
31236,31236,Why do we use convolutions for images rather than just FC layers
31237,31237,What are convolutions used for
31238,31238,What are the applications of supervised learning
31239,31239,What are different types of supervised learning in machine learning
31240,31240,What can be achieved with machine learning
31241,31241,How do you increase precision in machine learning
31242,31242,Does model tuning helps to increase the accuracy
31243,31243,What is used for model fine tuning and optimization
31244,31244,How do you develop a machine learning model
31245,31245,What is modeling in machine learning
31246,31246,What are Bayesian statistics used for
31247,31247,How important is Bayesian statistics
31248,31248,What is the meaning of probability
31249,31249,What is entropy of source
31250,31250,How do you calculate entropy of data
31251,31251,What does it mean when data is independent
31252,31252,Why Does entropy increase
31253,31253,Which state has higher entropy
31254,31254,What is considered high entropy
31255,31255,What are the applications of linear algebra
31256,31256,How do you apply a linear system application
31257,31257,What is linear application
31258,31258,What is the application of matrix multiplication
31259,31259,What conditions should be met to insure that a sampling distribution of sample proportions is normal
31260,31260,When can the distribution of the sample proportion be approximated by a normal distribution
31261,31261,What do the edges in a decision tree represent
31262,31262,What is the purpose of a modified Boxplot
31263,31263,What is a comparative Boxplot
31264,31264,How do you compare and contrast box plots
31265,31265,What is the difference between a box plot and a box and whisker plot
31266,31266,How do you interpret Boxplot results
31267,31267,What is the role of the box plots in statistics
31268,31268,What is needed for a box plot
31269,31269,What causes model Overfitting
31270,31270,Why is Overfitting data bad
31271,31271,Why is the t test good
31272,31272,Why are t statistics more variable than Z
31273,31273,How is Robert's edge detector working
31274,31274,What is non maximum suppression in Canny edge detection
31275,31275,How can I improve my canny edge detection
31276,31276,What is the Poisson distribution formula
31277,31277,What is the problem of multicollinearity
31278,31278,What is multicollinearity in regression
31279,31279,What is Bayes theorem in data mining
31280,31280,What statistical tool is used for significant relationships
31281,31281,How can you use statistical methods to find relationships between variables
31282,31282,What is difference between nominal and ordinal level data
31283,31283,What are different levels of measurement
31284,31284,What is the difference between data measured on an interval scale and data measured on a ratio scale Mcq
31285,31285,What is interval and ordinal data
31286,31286,What is an example of interval data
31287,31287,Why it is important to distinguish between scales of measurement
31288,31288,Is L1 loss differentiable
31289,31289,Which loss function is most sensitive to outliers
31290,31290,How do you do conditional probability with a tree diagram
31291,31291,What is Modelling in data compression
31292,31292,What is classification and why do we use it
31293,31293,What is classification short answer
31294,31294,What does smoothing the data mean
31295,31295,What is the purpose of smoothing a time series data
31296,31296,What is the function of image smoothing
31297,31297,What is meant by smoothing techniques
31298,31298,What is smoothing in data science
31299,31299,What is smoothing in AI
31300,31300,What is the expected value at node 4
31301,31301,What is a decision node
31302,31302,How does Decision Tree calculate probability
31303,31303,What is a pure node in decision tree
31304,31304,What are the 2 types of reasoning
31305,31305,What is the difference between learning and reasoning
31306,31306,What are the various techniques for the reasoning
31307,31307,What are investigator effects
31308,31308,How can demand characteristics be reduced
31309,31309,How do you sample from a multivariate distribution
31310,31310,What does R and R2 mean in statistics
31311,31311,Is squared error loss function convex
31312,31312,What is the difference between SGD and the naive gradient descent
31313,31313,What is a disadvantage of using the mean
31314,31314,What does 48MP mean
31315,31315,How do you calculate a weighted grading scale
31316,31316,How do I calculate a weighted average
31317,31317,How do you calculate sample weight
31318,31318,Why do we perform SVD of a matrix
31319,31319,Is SVD linear
31320,31320,How do purposive and quota sampling differ
31321,31321,What are the two major types of purposive sampling
31322,31322,How do you calculate the probability of a normal distribution
31323,31323,How do you find the probability of a normal distribution on a calculator
31324,31324,What is test retest reliability
31325,31325,Which of the following is true of test retest reliability
31326,31326,What is the best definition of test retest reliability quizlet
31327,31327,How do you evaluate test retest reliability
31328,31328,What are some assumptions of test retest reliability
31329,31329,What Cronbach alpha is acceptable
31330,31330,What does test retest reliability tell you
31331,31331,What occurs in an assessment of test retest reliability
31332,31332,How do you find the true mean in statistics
31333,31333,What does σ2 mean in statistics
31334,31334,What is the mean of a sample called
31335,31335,What is the set of all possible outcomes of a probability experiment
31336,31336,What is the term for a collection of outcomes from a probability experiment
31337,31337,How do you find possible outcomes in probability
31338,31338,When should we use Anova analysis
31339,31339,What is RMS in statistics
31340,31340,What does quartile 2 represent
31341,31341,What are neurons
31342,31342,Is hour a categorical variable
31343,31343,How do you find the median of a continuous probability distribution
31344,31344,How do you find the median of a continuous variable
31345,31345,How do you find the median of a distribution
31346,31346,How do you find the mean of a continuous distribution
31347,31347,How do you find the precise median
31348,31348,How do you find the mid value of a continuous series
31349,31349,How do you find the median of an even amount of data
31350,31350,How do you find the median when given the frequency
31351,31351,How do you find the median of data
31352,31352,How long has Artificial Intelligence AI existed in years
31353,31353,How can sampling error be corrected
31354,31354,Can you prove anything with statistics
31355,31355,Why statistics can be misleading
31356,31356,What is accuracy of a model
31357,31357,How do you calculate principal components
31358,31358,How do you find the principal components of a covariance matrix
31359,31359,What do you mean by principal component
31360,31360,How do you conduct a principal component analysis in SPSS
31361,31361,How do I track social media metrics
31362,31362,How do I read FB Analytics
31363,31363,What is social media analytics
31364,31364,What is social media analytics tool
31365,31365,What can you do with social media analytics
31366,31366,How do you do a social media analysis
31367,31367,What are social media analytics tools
31368,31368,What can social media analytics tools help
31369,31369,What are social media insights
31370,31370,What is batch normalization
31371,31371,How do you batch normalize in Tensorflow
31372,31372,How do you predict probability in R
31373,31373,What is the coding system of a nervous message
31374,31374,What generally is the difference between the sparse coding and population coding views of object perception
31375,31375,How do nerve impulses code information
31376,31376,What is Regularised regression
31377,31377,What does a maximum likelihood estimator Maximise
31378,31378,What does the T value tell you in at test
31379,31379,What does a t test prove
31380,31380,What does LSI mean
31381,31381,What is the parameter of an exponential distribution
31382,31382,How do you find the rate parameter
31383,31383,What is TensorFlow written in
31384,31384,What does TensorFlow run on
31385,31385,How do I learn TensorFlow 2
31386,31386,When did TensorFlow 2 come out
31387,31387,How do you compare the efficiency of two algorithms
31388,31388,How do you compare performance of various algorithms
31389,31389,Which type of algorithm used against multiple systems is the best way in which to compare two similar algorithms that perform the same task or benchmarking
31390,31390,How do you measure an algorithm
31391,31391,How do you find the exact binomial probability
31392,31392,What determines the shape of the normal curve Why
31393,31393,What does the shape of at distribution depend on
31394,31394,Do all normal distributions have the same shape
31395,31395,Is Predictive Analytics artificial intelligence
31396,31396,Is predictive analytics part of data science
31397,31397,What is predictive intelligence
31398,31398,What are the three characteristics of normal distribution
31399,31399,How many normal distributions are there
31400,31400,What is the difference between standard normal distribution and normal distribution
31401,31401,What is a feature vector in machine learning
31402,31402,What is matrix in machine learning
31403,31403,What is feature space in pattern recognition
31404,31404,What is a feature dimension
31405,31405,How do I improve my meta description
31406,31406,What is the purpose of an optimized meta description
31407,31407,What is metadata optimization
31408,31408,What happens if naïve Bayes main assumption is not supported
31409,31409,Why is naive Bayes called naive Mcq
31410,31410,What is the naive Bayes algorithm used for MCQ
31411,31411,Why is naive Bayesian classification called naive briefly outline the major ideas of naive Bayesian classification
31412,31412,When can a feature independence assumption be reasonable and when not
31413,31413,What are the limitations of semantic networks
31414,31414,How important are semantic networks in artificial intelligence
31415,31415,What does MU mean in statistics
31416,31416,What is MU in standard deviation
31417,31417,What is Mu and Sigma
31418,31418,What is the mean and variance of a random variable
31419,31419,What is σ2
31420,31420,What is a vector vector
31421,31421,How do you determine if a matrix is a vector space
31422,31422,How can you distinguish between a vector in a plane and a vector in a space
31423,31423,Which offset is used in linear regression
31424,31424,What is offset in machine learning
31425,31425,What is the link function in a Poisson regression model
31426,31426,What are the 2 types of probability
31427,31427,How do you find the squared residual
31428,31428,What does sum of squared residuals mean
31429,31429,How do you calculate residuals
31430,31430,How do you find the sum of the squares of the residuals
31431,31431,What is total sum of squares in statistics
31432,31432,What are two differences between Anova and t tests
31433,31433,Why is standard deviation square root
31434,31434,What is RMS in stats
31435,31435,What is the difference between random sample and simple random sample quizlet
31436,31436,What is the difference between a random sample and a simple random sample choose the correct answer below
31437,31437,What is an example of a simple random sample
31438,31438,What is sampling discuss different types of sampling
31439,31439,What does stratification mean in random sampling quizlet
31440,31440,What is stratified sampling Class 11
31441,31441,What is systematic sampling quizlet
31442,31442,How do you find the integral of convolution
31443,31443,What are properties of convolution
31444,31444,What is the convolution integral
31445,31445,What is law of effect in learning
31446,31446,What is Thorndike theory of learning
31447,31447,What is Skinner's theory of learning
31448,31448,How did Skinner's work in behaviorism differ from Thorndike's work
31449,31449,What were the contributions of Thorndike and Skinner
31450,31450,How do you know if residuals are normally distributed
31451,31451,What do you mean by hierarchical clustering
31452,31452,How do you find the Kappa confidence interval in SPSS
31453,31453,How do you calculate intraclass correlation in SPSS
31454,31454,How do you write a decision tree
31455,31455,How many nodes are there in a decision tree
31456,31456,What is the truth value of p q
31457,31457,Is p q True or false
31458,31458,When P is false and Q is true
31459,31459,Which of the following is the inverse of P → Q
31460,31460,Which is the inverse of P → Q Brainly
31461,31461,What is embedding vector
31462,31462,Why is analytics used
31463,31463,What is the study of analytics
31464,31464,What is residual deviance
31465,31465,How do you find the residual deviance
31466,31466,What are residuals in logistic regression
31467,31467,What is the function to get both eigen values and eigen vectors of a matrix
31468,31468,How do you find eigenvalues and eigenvectors of a matrix
31469,31469,Can two eigenvalues have the same eigenvector
31470,31470,What does an eigenvector do
31471,31471,Can eigenvectors be different
31472,31472,What are the different sources of error in sampling survey
31473,31473,How is sampling error determined
31474,31474,What is one problem with sampling bias
31475,31475,What are factors causing sampling error
31476,31476,How are t test and Anova related
31477,31477,What are parameters in binomial distribution
31478,31478,What is parameter in statistics with example
31479,31479,Why is lognormal distribution used
31480,31480,Why are stock prices log normal
31481,31481,What is Cauchy random variable
31482,31482,What is Cauchy distribution used for
31483,31483,How do you create a Cauchy random variable
31484,31484,Why do we use inferential statistics inferential statistics are used to help us to show the difference between the sample and the whole population inferential statistics are used to help us to Generalise from the sample to the whole population inferential statistics are used to help us to compare the sample
31485,31485,What are the three distributions used in inferential statistics
31486,31486,How does standard error affect confidence interval
31487,31487,What happens to confidence interval as standard deviation increases
31488,31488,What happens when confidence interval increases
31489,31489,How does standard deviation effect confidence interval
31490,31490,Is confidence interval the standard deviation
31491,31491,How does confidence level affect confidence interval
31492,31492,What is the relationship between the confidence level and margin of error
31493,31493,What is the relationship between the confidence interval and the margin of error quizlet
31494,31494,Does margin of error increase with confidence interval
31495,31495,How does confidence interval reduce margin of error
31496,31496,Which machine learning algorithm is best for sentiment analysis
31497,31497,What kind of technique would you use for sentiment analysis
31498,31498,How do you assess sustained attention
31499,31499,What are different levels of attention
31500,31500,What is the difference between attention and concentration
31501,31501,What is the difference between focus attention and concentration
31502,31502,How do you define attention
31503,31503,How can I improve my attention skills
31504,31504,What is the origin of the word glove
31505,31505,What is an example of interval measurement
31506,31506,What is interval of data
31507,31507,Is age an example of interval data
31508,31508,What is an example of ratio data
31509,31509,What is interval ratio
31510,31510,What is the difference between interval ratio and ordinal variables
31511,31511,What is controlled by positive feedback
31512,31512,Which functions are controlled by a positive feedback loop
31513,31513,What's an example of a positive feedback loop
31514,31514,What does Levene's test for equality of variances mean
31515,31515,How do you interpret the Levene test for homogeneity of variance
31516,31516,What if Levene's test is significant in Anova
31517,31517,What is the null hypothesis when using Anova procedures
31518,31518,What is the null hypothesis for a one way Anova
31519,31519,What is the null hypothesis for Anova for a regression equation
31520,31520,What is membership function in fuzzy set
31521,31521,Why membership functions are used in fuzzy logic
31522,31522,What is the T value in regression
31523,31523,How do you read a correlation chart
31524,31524,What does an R value of 0.8 mean
31525,31525,Is 0.48 A strong correlation
31526,31526,What is a unit in neural network
31527,31527,What are hidden units
31528,31528,What is spark in machine learning
31529,31529,What is spark ml pipeline
31530,31530,What is Spark used for
31531,31531,What is Databricks
31532,31532,What is Spark and its components
31533,31533,What spark is used for
31534,31534,What is the difference between Bayesian estimate and maximum likelihood estimation
31535,31535,What is the purpose of the t test in statistics
31536,31536,What is discrete choice modeling
31537,31537,What is binary choice model
31538,31538,What are the methods of sample size determination
31539,31539,What is mAP score in deep learning
31540,31540,What is the Fourier basis
31541,31541,Why is data classification important
31542,31542,Is Count Data nominal or ordinal
31543,31543,What kind of data is count data
31544,31544,How do you analyze counting data
31545,31545,When can count data be considered continuous
31546,31546,What does count data mean in statistics
31547,31547,What do the terms P value coefficient and r squared value mean
31548,31548,How do you interpret P values in R
31549,31549,Is R used in machine learning
31550,31550,Is R good for deep learning
31551,31551,Is R used in AI
31552,31552,What is misclassification rate of a classifier
31553,31553,What is the difference between keras TensorFlow and Pytorch
31554,31554,What is the meaning of eigenvalues and eigenvectors
31555,31555,What is data sparsity problem
31556,31556,How do you construct a covariance matrix
31557,31557,How do you explain a covariance matrix
31558,31558,How do you write covariance
31559,31559,What is K in binomial theorem
31560,31560,What is the variable K in statistics
31561,31561,What is r in binomial distribution
31562,31562,What does R mean in probability
31563,31563,What is the inverse transformation
31564,31564,What is inverse transformation technique explain
31565,31565,What is the inverse of a linear transformation
31566,31566,How do you interpret inverse functions
31567,31567,What is the rule of inverse function
31568,31568,How do you find the inverse of a transformation matrix
31569,31569,What is the inverse of a transpose matrix
31570,31570,What is the inverse of a 2x3 matrix
31571,31571,How do I load iris data from Sklearn
31572,31572,How do you solve optimization problems
31573,31573,Which language is used in Matlab
31574,31574,What are codes and themes in qualitative research
31575,31575,What are codes in qualitative research
31576,31576,How do you code data
31577,31577,What are codes in thematic analysis
31578,31578,What is NIST security model
31579,31579,What is the NIST risk assessment procedure
31580,31580,How do you do linear regression
31581,31581,What are the methods of doing linear regression
31582,31582,How do you solve linear equations
31583,31583,Is linear regression a machine learning technique
31584,31584,Is linear regression A statistical model
31585,31585,How do you determine what is a linear equation
31586,31586,What coding language is used for AI
31587,31587,Does AI involve coding
31588,31588,What is artificial intelligence coding
31589,31589,Can we make artificial intelligence
31590,31590,Can PhotoMath do logarithms
31591,31591,What is a real world example of a logarithmic function
31592,31592,What is meant by actuator
31593,31593,What is actuator and sensor
31594,31594,What are sensors in AI
31595,31595,What is a SVM kernel
31596,31596,How do I find important variables in Python
31597,31597,How do you select important variables in the dataset
31598,31598,What is non linear regression in machine learning
31599,31599,Is it possible to model a non linear relationship between an IV and a DV in a linear model
31600,31600,What is non linear relationship
31601,31601,How do you find the equation for non linear data
31602,31602,How do you determine linear or nonlinear regression
31603,31603,How do you determine the regression equation
31604,31604,What is C in logistic growth
31605,31605,What is the extrapolation method
31606,31606,How do you determine interpolation and extrapolation
31607,31607,Which method interpolation or extrapolation is more accurate and why
31608,31608,What does interpolate mean
31609,31609,What are the two types of validity
31610,31610,Which of following test statics is used in Wilcoxon rank sum test
31611,31611,How do you find the standard deviation of a normal distribution
31612,31612,What is the standard deviation of a normal distribution curve
31613,31613,What are the mean and standard deviation of the standard normal distribution
31614,31614,How many standard deviations are in a normal distribution
31615,31615,How do you derive the variance of a uniform distribution
31616,31616,What's the variance of a uniform distribution defined on 0 6
31617,31617,What is the variance of a discrete uniform distribution
31618,31618,How does a uniform distribution differ from a normal distribution
31619,31619,Which distribution has the larger standard deviation
31620,31620,Why does larger standard deviation mean greater variation
31621,31621,Does a uniform distribution have a standard deviation
31622,31622,Can logistic regression be used for continuous data
31623,31623,What are marginals in statistics
31624,31624,What is the meaning marginal
31625,31625,What is a marginal difference
31626,31626,How do you find the margin of error on a Ti 84 using confidence intervals
31627,31627,How does the margin of error change as the confidence interval increases
31628,31628,Is margin of error the same as confidence level
31629,31629,How do I get Facebook data sentiment analysis
31630,31630,How do you do a sentiment analysis
31631,31631,What is sentiment analysis How is sentiment analysis done
31632,31632,What is az test
31633,31633,How do you use a calibration curve
31634,31634,What does the calibration curve tell us
31635,31635,What is a calibration curve and what is it used for
31636,31636,How do you use a calibration curve to determine concentration
31637,31637,How do you calculate calibration curve
31638,31638,How do you create a HPLC calibration curve
31639,31639,What does random forest do
31640,31640,Is Random Forest supervised or unsupervised
31641,31641,What comes under unsupervised learning
31642,31642,Is random forest deep learning
31643,31643,How do you find the sensitivity and specificity of a confusion matrix
31644,31644,What is test sensitivity and specificity
31645,31645,How do machine learning models learn
31646,31646,How do you calculate deep learning map
31647,31647,What is MAP metric
31648,31648,Where can I learn algorithms
31649,31649,What does cosine actually mean
31650,31650,What is cos of an angle
31651,31651,What is a random distribution
31652,31652,How do you find the distribution function of x
31653,31653,What is the distribution of X X
31654,31654,What is X in geometric distribution
31655,31655,What is X in beta distribution
31656,31656,What is transactional analysis model
31657,31657,What is the purpose of transactional analysis
31658,31658,Which system is a knowledge based information system
31659,31659,Is the knowledge based system a heuristic system
31660,31660,What are knowledge based system explain with an example
31661,31661,What are the components of knowledge based system
31662,31662,Is exponential distribution independent
31663,31663,What is the P value method in statistics
31664,31664,How do you do the Wilcoxon rank sum test
31665,31665,What happens in Bandish bandits
31666,31666,Is Avneet Kaur in Bandish bandits
31667,31667,What is coefficient in multiple regression
31668,31668,Why do regression coefficients have standard errors associated with them
31669,31669,Do the signs of the coefficients make sense
31670,31670,What is the main difference between simple linear regression and multiple linear regression
31671,31671,Are the variables in your regression model statistically significant to your model
31672,31672,Why do we use one sample t test
31673,31673,How many variables do you need to run a one sample chi square analysis
31674,31674,How does sample size affect chi square
31675,31675,What does it mean that a neuron has a large receptive field
31676,31676,How are receptive field size distributed across the retina
31677,31677,What is a receptive field and what are its characteristics
31678,31678,What is uncertainty in measurements quizlet
31679,31679,How does the concept of significant figures relate to uncertainty in measurement quizlet
31680,31680,What is are the term s that describe s the closeness or reproducibility of a set of measurements taken under the same conditions
31681,31681,Why is there uncertainty in measurements
31682,31682,How are accuracy and precision alike
31683,31683,What does intercept mean in regression
31684,31684,How do you interpret ay intercept
31685,31685,What does a significant intercept mean in logistic regression
31686,31686,What does it mean when the intercept of a model is not significant
31687,31687,What does the Y intercept tell us
31688,31688,How do you find the error rate in a classifier
31689,31689,What are variables in a study
31690,31690,What is an example of a qualitative study
31691,31691,What qualifies as qualitative research
31692,31692,What is parameter estimation in machine learning
31693,31693,What is data parallel algorithm model
31694,31694,What is data level parallelism with example
31695,31695,What is meant by data parallelism
31696,31696,When regression line passes through the origin then
31697,31697,Is the least squares regression line resistant
31698,31698,What is the intercept of the regression line
31699,31699,Why does the regression line pass through the mean
31700,31700,What is the difference between Kafka and Kafka streams
31701,31701,What is Kafka and why it is used
31702,31702,How is K defined in Knn
31703,31703,What is transit associated with
31704,31704,How is a planet's orbital period related to its distance from its star
31705,31705,What is the relationship between distance and orbital period
31706,31706,What is the relationship between the distance from the Sun and the orbital period quizlet
31707,31707,How do you determine transit depth
31708,31708,What is transit period
31709,31709,What does transit method measure
31710,31710,What's considered an outlier
31711,31711,How do you find the rule for a pattern
31712,31712,How do you see patterns in everything
31713,31713,What part of the brain is used for pattern recognition
31714,31714,Where do you see patterns
31715,31715,What is intra cluster distance
31716,31716,What is inter cluster and intra cluster
31717,31717,What is intra cluster
31718,31718,What is descriptor in image processing
31719,31719,How do you organize data for regression analysis
31720,31720,What two things should be done before one performs a regression analysis
31721,31721,How do you find eigenvectors of a matrix
31722,31722,What are the eigenvectors of a matrix
31723,31723,What is an eigenvector of a matrix
31724,31724,What is a deviation rate
31725,31725,How do I find the deviation rate
31726,31726,How is tolerable deviation rate calculated
31727,31727,What is the relationship between sample size and standard error
31728,31728,What is the relationship between sampling error and sample size
31729,31729,Does sample size determine sampling error
31730,31730,What is the relationship between margin of error and sample size
31731,31731,What is the relationship between sample size standard error and confidence intervals
31732,31732,Does margin of error decrease with sample size
31733,31733,How do you create a training dataset
31734,31734,Why do we need sampling distribution
31735,31735,How do you find the probability of a sample distribution
31736,31736,What is probability sampling distribution
31737,31737,How do you do probability sampling
31738,31738,What are the examples of probability sampling
31739,31739,How do you train a model using TensorFlow
31740,31740,Why is a larger sample size better
31741,31741,What is the disadvantage of using a larger sample size
31742,31742,Does a larger sample size increase confidence interval
31743,31743,How does sample size effect results
31744,31744,How does a small sample size effect a study
31745,31745,How does small sample size affect validity
31746,31746,Does sample size affect reliability or validity
31747,31747,How hard is it to build a neural network
31748,31748,How do I build CNN in TensorFlow
31749,31749,How do I create a CNN image classification
31750,31750,Is TensorFlow a CNN
31751,31751,What are the three data anomalies
31752,31752,How do you prevent data anomaly
31753,31753,What is insert anomaly with example
31754,31754,What are the three data anomalies that are likely to occur as a result of data redundancy can data redundancy be completely eliminated in database approach Why or why not
31755,31755,What are the characteristics of a normal distribution in statistics
31756,31756,How do you do integration
31757,31757,What makes a sample size large
31758,31758,How do you determine ideal sample size
31759,31759,What factors can cause response bias in a sample
31760,31760,How do you avoid response bias
31761,31761,How is mean and median different
31762,31762,Why is the mean better than the median
31763,31763,Why is the mean and median the same
31764,31764,What is bias in decision tree
31765,31765,What is sensitivity in decision tree
31766,31766,Are decision trees explainable
31767,31767,Are decision trees linear
31768,31768,Is decision tree robust to outliers
31769,31769,Why is stratified sampling better than random
31770,31770,Why is it good to use stratified sampling
31771,31771,What is feature scaling and write its uses
31772,31772,What role does feature normalization play for gradient descent
31773,31773,What is the definition of normalization
31774,31774,What are the effects of artificial intelligence
31775,31775,What problems does artificial intelligence solve
31776,31776,What is the fear of AI called
31777,31777,What are the issues of artificial intelligence
31778,31778,How AI is a threat
31779,31779,What distribution does the Anova or analysis of variance use
31780,31780,How do you determine threshold value in logistic regression
31781,31781,What are the Hyperparameters of logistic regression
31782,31782,What is the expected value of a discrete probability distribution
31783,31783,What is the expected value for distribution A
31784,31784,How do you find the discrete variable
31785,31785,What is expected value of random variable
31786,31786,What does a negative expected value mean
31787,31787,What is self awareness in AI
31788,31788,What is it called when artificial intelligence becomes self aware
31789,31789,How can you tell if data is valid
31790,31790,What makes a valid statistical question
31791,31791,How do you identify a statistical question
31792,31792,How do you test validity of a questionnaire
31793,31793,How can graphs and statistics be misleading
31794,31794,How can statistics be misleading by Mark Liddell
31795,31795,Why are measures of central tendency misleading
31796,31796,What is the range of the logit logarithm of odds ratio function
31797,31797,What is the range of the probability of the logistic function in logistic regression
31798,31798,Which among the following options give the range for a logistic function
31799,31799,What is the loss function used in logistic regression to find the best fit line
31800,31800,What is sampling distribution in statistics
31801,31801,What is the purpose of association rule mining
31802,31802,Is association rule mining supervised or unsupervised
31803,31803,What is Watson NLU
31804,31804,What is a difference between the Z distribution and the t distribution
31805,31805,What is a hashing algorithm and how does it work
31806,31806,What is meant by hashing algorithm
31807,31807,What is hashing explain with example
31808,31808,What are hashing algorithms used for
31809,31809,How do you find the slope of the regression line
31810,31810,What are the slope and y intercept of the regression line
31811,31811,Is the R squared value the slope
31812,31812,What does R mean in slope
31813,31813,What is the R value of a line
31814,31814,How do you find R in a regression equation
31815,31815,What is R vs R2
31816,31816,What is the auto correlation for lag 1
31817,31817,How do you calculate partial autocorrelation
31818,31818,What is the value of the autocorrelation function of lag order 0
31819,31819,What is the partial auto correlation for lag 3
31820,31820,What is CTC loss
31821,31821,What is qualitative classification
31822,31822,What can you do with NLTK
31823,31823,Why do we need hashing in data structure
31824,31824,How do I filter noisy data
31825,31825,What causes noise in data
31826,31826,How would you differentiate outlier and noise in a dataset
31827,31827,Can noise objects be outliers
31828,31828,What is a sampling frequency
31829,31829,What is sampling time in ADC
31830,31830,How do you determine sampling frequency
31831,31831,How do you calculate Nyquist sampling frequency
31832,31832,What is sampling frequency in FFT
31833,31833,Is Nyquist rate and sampling frequency same
31834,31834,What is ADC sampling
31835,31835,What is ADC sampling time
31836,31836,What is caching and how it works
31837,31837,What is Cache testing
31838,31838,What are some of the limitations of regression analysis
31839,31839,What is the derivative of a logistic function
31840,31840,How do you write a logistic differential equation
31841,31841,What factors cause logistic growth
31842,31842,What factors determine the growth rate of a population
31843,31843,What is the range of a logistic function
31844,31844,What is the carrying capacity of a logistic function
31845,31845,How do you solve logistic growth
31846,31846,How do you calculate carrying capacity in logistics
31847,31847,Why use a deep learning framework
31848,31848,What is framework in deep learning
31849,31849,What you can do with deep learning
31850,31850,What is multi SVM
31851,31851,Can SVM do multi class classification
31852,31852,What is correlation in signals
31853,31853,What is difference between convolution and correlation
31854,31854,What is discriminative correlation filter
31855,31855,How does Kcf Tracker work
31856,31856,What is the difference between cross correlation and autocorrelation
31857,31857,What's a good Altman Z score
31858,31858,What is a bad Altman Z score
31859,31859,What is the Altman Z score used for
31860,31860,What does a negative z score tell you
31861,31861,How accurate is the Altman Z score
31862,31862,How do you find the standard normal probability
31863,31863,What is the normal probability model
31864,31864,How do you explain a normal probability plot
31865,31865,What is classification of data mining
31866,31866,What is the difference between classification and prediction in data mining
31867,31867,What is prediction data mining
31868,31868,What is the meaning of standard deviation
31869,31869,How do you find conditional density
31870,31870,How do you measure implicit bias
31871,31871,Is the IAT test reliable
31872,31872,What does the IAT actually measure
31873,31873,What does the IAT test measure
31874,31874,How do you test for unconscious bias
31875,31875,How are implicit attitudes measured
31876,31876,How is implicit bias measured
31877,31877,Is sensitivity more important than specificity
31878,31878,What makes a good screening test
31879,31879,What does sensitivity mean
31880,31880,What is sensitivity vs specificity
31881,31881,What can we conclude about whether people notice the characteristics of the unattended messages in a selective attention task
31882,31882,What does the adjusted R2 mean
31883,31883,What is the difference between R Squared and R
31884,31884,How do you interpret adjusted R squared value
31885,31885,What are the activation function used in NN
31886,31886,What is hypothesis in data science
31887,31887,Is parameter a variable
31888,31888,What is the difference between a process parameter and a process variable
31889,31889,What is a field variable
31890,31890,What is the relationship between a field and a variable
31891,31891,What is an example of a local variable
31892,31892,What does participant bias mean
31893,31893,What is Undercoverage bias
31894,31894,What is an example of Undercoverage
31895,31895,What is Ln log
31896,31896,Why code optimization is needed
31897,31897,What does it mean to optimize code
31898,31898,How do you optimize coding
31899,31899,What does OLS mean in a text message
31900,31900,Which learning model is used in feed forward network
31901,31901,Is it possible to design a linear regression algorithm using a neural network
31902,31902,Can we use logistic regression for regression
31903,31903,What is the difference between SRE and DevOps
31904,31904,What is DevOps SRE
31905,31905,What is difference between DevOps and SRE
31906,31906,What is the same thing as the independent variable
31907,31907,Is sift illumination invariant
31908,31908,How do you find sample size in stratified sampling
31909,31909,How many types of stratified sampling are there
31910,31910,When stratified sampling how many individuals are included
31911,31911,Is stratified sampling proportional
31912,31912,Is translation a linear transformation
31913,31913,What is the difference between Ancova and multiple regression
31914,31914,What makes Ancova different from Anova
31915,31915,Does Anova assume linearity
31916,31916,How does univariate analysis differ from bivariate analysis
31917,31917,What is univariate model
31918,31918,What is the class limit in statistics
31919,31919,What convolution means
31920,31920,What do you mean by convolution theorem
31921,31921,What is the purpose of convolution theorem
31922,31922,Is b0 the intercept
31923,31923,What does the Y intercept b0 represent in linear regression
31924,31924,How do you interpret B in linear regression
31925,31925,What is the stationary distribution of a Markov chain
31926,31926,Is Markov process a random process
31927,31927,How do you know if a function is causal
31928,31928,Which system is non causal system
31929,31929,Is a step function discrete
31930,31930,Are step functions linear
31931,31931,Are step functions discrete
31932,31932,How do you write a unit step function
31933,31933,What CNN features
31934,31934,How do you calculate a two tailed test
31935,31935,Does Matlab require coding
31936,31936,What are weights and bias in neural network
31937,31937,Why do we add bias in neural network
31938,31938,What is a bias neuron in a neural network
31939,31939,What is map function in machine learning
31940,31940,What is maximum posterior hypothesis
31941,31941,How do you get standard error
31942,31942,What does standard deviation depend on
31943,31943,What does standard error in regression mean
31944,31944,How do you interpret mean and standard deviation
31945,31945,What is a drawback of exponential smoothing models
31946,31946,What are the main problems with using adaptive exponential smoothing in forecasting
31947,31947,When using exponential smoothing a smoothing constant must be used the smoothing constant is a value that
31948,31948,When using exponential smoothing the smoothing constant *
31949,31949,What is the characteristics of simple random sampling
31950,31950,What defining feature of a simple random sample distinguishes it from other probability sampling designs
31951,31951,What is unique about a simple random sample
31952,31952,What is the purpose of regression model
31953,31953,What is the purpose of a multiple regression analysis
31954,31954,What is a false positive in IT security
31955,31955,What is the difference between regression line and least squares regression line
31956,31956,Is the least squares regression line the same as the line of best fit
31957,31957,What is mean by frequency distribution table
31958,31958,How do you find the range in a frequency table
31959,31959,What is the range of class interval
31960,31960,How do you know if a vector field is conservative
31961,31961,What does a conservative vector field look like
31962,31962,Is a constant vector field conservative
31963,31963,How do you find the gradient of a function
31964,31964,What is meant by conservative field
31965,31965,What are conservative forces give two examples
31966,31966,What are conservative and non conservative forces give one example of each
31967,31967,What does it mean for a field to be conservative
31968,31968,What exactly is a conservative force
31969,31969,How do you calculate greater than cumulative frequency
31970,31970,How do you find less than and greater than cumulative frequency
31971,31971,How do you draw a less than a cumulative frequency curve
31972,31972,How do you find less than and more cumulative frequency
31973,31973,What is the third quartile Q3 of the standard normal distribution
31974,31974,How do you find the third quartile of a distribution
31975,31975,How do you find the z score for a standard normal distribution
31976,31976,What percentage of data is contained by the interquartile range
31977,31977,Are algorithms models
31978,31978,What is algorithm and its example
31979,31979,What is model mean
31980,31980,What's the difference between standardized and unstandardized coefficients
31981,31981,Do you report standardized or unstandardized betas APA
31982,31982,How do you standardize a variable in regression
31983,31983,Do robots have artificial intelligence
31984,31984,How is artificial intelligence used in robotics
31985,31985,What devices use artificial intelligence
31986,31986,How is AI used in robotics
31987,31987,What is a good P value score
31988,31988,How do you reduce the sum of squared residuals
31989,31989,Why do we minimize the sum of squared errors in linear regression
31990,31990,How do you reduce errors in regression analysis
31991,31991,How divide and conquer strategy is used in binary search
31992,31992,What type of algorithm is binary search
31993,31993,What are some examples of divide and conquer algorithms
31994,31994,How do you know when to use greedy algorithm
31995,31995,What defines a greedy algorithm
31996,31996,What is greedy algorithm in DAA
31997,31997,What is signal detection theory based on
31998,31998,What is an experimental bias
31999,31999,What is bias in a study
32000,32000,What is boosting in decision tree
32001,32001,How do you know if vectors form a basis
32002,32002,How do you check if it is a basis
32003,32003,Can a single vector be linearly independent
32004,32004,How do you report regression results in a paper
32005,32005,How do you do regression equations
32006,32006,What is the relationship between power and Type II error
32007,32007,What is the relationship between statistical power and sample size
32008,32008,Is Correlation A coefficient
32009,32009,When would you use the T distribution
32010,32010,Why do we normalize deep learning
32011,32011,Why do we normalize images
32012,32012,How do you normalize a photo
32013,32013,Why do we do residual analysis
32014,32014,What do you mean by residual analysis explain with method of solving
32015,32015,Why do you examine the residuals of a regression model
32016,32016,How do you find the normal curve
32017,32017,What is the standard normal curve in statistics
32018,32018,What are the main applications of clustering algorithms
32019,32019,What happens if the neural network does not have any activation function
32020,32020,Which of the following are the reasons of not using linear activation function
32021,32021,What is LR in statistics
32022,32022,What is the geometric distribution used for
32023,32023,What is the mode of a geometric distribution
32024,32024,What is statistical heterogeneity
32025,32025,When would you use an exponential random variable
32026,32026,What is the class width quizlet
32027,32027,How do you find the width of a class interval
32028,32028,What is class width in frequency distribution
32029,32029,What is the size of class intervals * 1 point
32030,32030,How does an outlier skew a distribution
32031,32031,Can outliers affect variance
32032,32032,What effect does an outlier have on the range
32033,32033,What is the rule of independent events
32034,32034,How do you find out if an event is independent or dependent
32035,32035,What is testing and purpose of testing in probability and statistics
32036,32036,Is a factor a categorical variable
32037,32037,What does it mean to scale data
32038,32038,How do you determine whether the distribution represents a probability distribution
32039,32039,What is stream in big data
32040,32040,What is the difference between batch processing real time processing time sharing and distributed processing
32041,32041,Why does AlphaGo play so well
32042,32042,What does AlphaGo mean
32043,32043,How does random assignment minimize confounding variables
32044,32044,How does matching reduce confounding
32045,32045,What does random assignment do
32046,32046,What does random assignment eliminate
32047,32047,How do you test for confounding variables
32048,32048,How does random assignment prevent selection effects
32049,32049,Why is random assignment important statistics
32050,32050,How do you get the X Bar symbol in Word
32051,32051,What is the character code for X Bar
32052,32052,How do you type x squared
32053,32053,How do you put an X mark in Word
32054,32054,How do you make the population symbol in Word
32055,32055,What is interpolation technique
32056,32056,Is sample standard deviation consistent
32057,32057,Is sample variance biased
32058,32058,What is order statistics DAA
32059,32059,What is meant by ingroup and outgroup
32060,32060,What is the standard normal cumulative distribution function
32061,32061,What is a marginal PMF
32062,32062,What is PMF and PDF
32063,32063,How do you know if an operator is hermitian
32064,32064,What are the different greedy criterion
32065,32065,What the standard error indicates about sampling error
32066,32066,What are the errors associated with sampling
32067,32067,How is the standard error related to sample size
32068,32068,How do you find the standard error of a sample size and proportion
32069,32069,What is nonlinear activation function
32070,32070,Why activation function is non linear
32071,32071,Is ReLU activation function a non linear activation function
32072,32072,What do we model with logistic regression
32073,32073,What is logit in logistic regression
32074,32074,Is logistic regression multivariate
32075,32075,How can I learn neural network
32076,32076,Is tensor a vector quantity
32077,32077,How do you use a binomial table
32078,32078,How do you work out a binomial distribution
32079,32079,What is a binomial table
32080,32080,How do you read a probability distribution table
32081,32081,How do you write a visual analysis
32082,32082,What is the purpose of image analysis
32083,32083,What is a photo analysis
32084,32084,What is the importance of images
32085,32085,Why is NLP useful
32086,32086,What is the distance between two clusters in a complete linkage clustering
32087,32087,What is a hypothesis and its types
32088,32088,Is machine learning required for deep learning
32089,32089,What is the difference between CNN and NN
32090,32090,What is YUV image
32091,32091,What does YUV mean
32092,32092,What is YUV422 format
32093,32093,What assumption does the cure clustering algorithm make with regards to the shape of the clusters
32094,32094,How do you find the probability of MGF
32095,32095,How is the normal distribution derived
32096,32096,What is ordinal regression in SPSS
32097,32097,How do I interpret regression analysis in SPSS
32098,32098,What is the confidence interval for 0.01 significance level
32099,32099,What is meant by a cluster
32100,32100,What is the mean by cluster
32101,32101,What is the sentence of A to Z
32102,32102,How can I improve my neural network model
32103,32103,Is OLS biased
32104,32104,What can cause OLS estimators to be biased
32105,32105,Is the OLS estimator consistent
32106,32106,What will be the properties of the OLS estimator in the presence of multicollinearity
32107,32107,What is the bias in linear regression
32108,32108,How do you use NLP techniques
32109,32109,What is NLP mind control
32110,32110,What is the purpose of models in machine learning and artificial intelligence
32111,32111,Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable
32112,32112,What can I use instead of logistic regression
32113,32113,What is statistics explain its importance and limitations
32114,32114,What are the importance of studying statistics
32115,32115,What is the definition of statistic
32116,32116,What is P A or B
32117,32117,What is P a B in probability
32118,32118,What does a correlation coefficient of 0 indicate quizlet
32119,32119,What is the correct interpretation for the correlation coefficient r 0
32120,32120,What is continuous learning in machine learning
32121,32121,What do you mean by random sampling
32122,32122,What do you mean by random sampling Class 11
32123,32123,Why is a research question important in multivariate analysis of variance Manova )
32124,32124,Which of the problem can be solved by backtracking method
32125,32125,How do you find the cutoff frequency of a high pass filter
32126,32126,How do you calculate filter cutoff frequency
32127,32127,What is the formula for cut off frequency
32128,32128,What is upper cut off frequency
32129,32129,How do you calculate cutoff frequency for a low pass filter
32130,32130,How do you calculate lower cutoff frequency
32131,32131,What determines the cut off frequency of the filter
32132,32132,What is the cutoff frequency of a first order low pass filter
32133,32133,How is cut off frequency calculated
32134,32134,What is normalized cutoff frequency
32135,32135,How do you calculate Normalised frequency
32136,32136,What is normalized filter
32137,32137,How do you calculate entropy and gain
32138,32138,How is information gain calculated
32139,32139,What is entropy in information gain
32140,32140,What is entropy and information gain in decision tree
32141,32141,What is MGF in probability
32142,32142,What is a moment probability
32143,32143,What is PR curve
32144,32144,What does log do in a regression
32145,32145,What does it mean to say energy is quantized
32146,32146,How do we know that energy is quantized
32147,32147,Does linear regression assume normality
32148,32148,What are the assumptions for linear regression
32149,32149,What is linear equation definition and example
32150,32150,What is a linear equation simple definition
32151,32151,What it means to be linear
32152,32152,What is linear Behaviour
32153,32153,What is the opposite of a linear process
32154,32154,How do you reduce the dimensionality of data
32155,32155,Which of the following techniques are used for dimensionality reduction
32156,32156,Which is not a function of output unit
32157,32157,What is output unit short answer
32158,32158,What is meant by input and output unit
32159,32159,What are the functions of input unit
32160,32160,What is the function of output unit
32161,32161,What is input and output of a function
32162,32162,Why is sentiment analysis used
32163,32163,What are class marks in statistics
32164,32164,What is SVM kernel function
32165,32165,What is moment generating function in probability
32166,32166,What is model assessment
32167,32167,What are the general steps of model evaluation
32168,32168,How do Arima models work
32169,32169,What is predicted value in linear regression
32170,32170,How is a simple linear regression model used to predict the response variable
32171,32171,Which variable would best explain or predict the other variable
32172,32172,What does an effect size of 0.2 mean
32173,32173,What is D and Z value
32174,32174,How do you calculate D in statistics
32175,32175,How do you interpret an expected value
32176,32176,What does expected value of a random variable mean
32177,32177,How do you work out moments
32178,32178,Which of the following are informed search method in artificial intelligence
32179,32179,What is informed and uninformed searches also explain its types
32180,32180,How is sample calculated
32181,32181,How is sample standard calculated
32182,32182,What is normal eye convergence
32183,32183,How is eye convergence treated
32184,32184,What are the properties of a binomial experiment
32185,32185,What defines a binomial experiment
32186,32186,What are the properties of a binomial variable
32187,32187,What makes the binomial distribution unique
32188,32188,What are the four characteristics of a binomial experiment
32189,32189,How do you use dimensional analysis
32190,32190,What do you mean by dimensional analysis
32191,32191,What is dimensional analysis
32192,32192,What is the difference between a control and a variable
32193,32193,What do you mean by classification of data discuss the method of classification
32194,32194,Why is it important to use the correct method of classification
32195,32195,Is AI a recommendation system
32196,32196,What are recommendation system clearly explain two application of recommendation system
32197,32197,Is sampling distribution the same as standard deviation
32198,32198,How do you find the mean and standard deviation of a sampling distribution
32199,32199,What exactly does standard deviation tell us
32200,32200,What are the mean and the standard deviation of the sampling distribution of a sample proportion
32201,32201,In what ways is bias avoided in the design of Randomised control trial
32202,32202,Does randomization reduce selection bias
32203,32203,How can you minimize performance bias
32204,32204,How is sampling bias reduced
32205,32205,How do clinical trials reduce bias
32206,32206,How do you reduce bias in RCT
32207,32207,How do you know if a matrix is defined
32208,32208,Is matrix multiplication left to right
32209,32209,How do you determine if a matrix product is defined
32210,32210,What is the product of a and b
32211,32211,How do you find AB and BA of a matrix
32212,32212,What are the operations in matrices
32213,32213,How do you determine if matrices are defined
32214,32214,What are matrix row operations
32215,32215,How can you interpret matrices and operate with matrices
32216,32216,How do you tell if a matrix is not defined
32217,32217,What are defined matrices
32218,32218,What is a T in linear algebra
32219,32219,What are the statistical techniques used in analyzing data
32220,32220,What type of statistical techniques are used
32221,32221,What is Z value in probability
32222,32222,What are the mean and standard deviation of the sampling distribution of the sample mean
32223,32223,How do you find the standard deviation from the mean
32224,32224,What is the standard deviation of the sample means called What is the formula for this standard deviation
32225,32225,What is the standard deviation of the sampling distribution called
32226,32226,What provides the standard deviation of the sampling distribution
32227,32227,What is the standard deviation of the sampling distribution called Choose the correct answer below
32228,32228,How does effect size affect power
32229,32229,What happens to effect size as sample size increases
32230,32230,What happens to the performance of the regression algorithm when you add more useful features
32231,32231,How do you optimize a linear regression model
32232,32232,What is the order of binary search
32233,32233,What is the correct option of binary search algorithm
32234,32234,Does binary search need to be sorted
32235,32235,What is binary search and its algorithm
32236,32236,What is binary search algorithm in C
32237,32237,Is Z or T critical value
32238,32238,Why do we use neural networks
32239,32239,Does the scatter plot show a positive a negative or no association
32240,32240,What does a positive association look like on a scatter plot
32241,32241,What does a positive scatter plot mean
32242,32242,How do you know if a correlation is positive or negative
32243,32243,How can you tell if a scatter plot is negative or positive
32244,32244,Which scatterplot shows a positive linear association
32245,32245,What is a positive association on a scatter plot
32246,32246,How do you know if a scatter plot shows a linear association
32247,32247,How do you know that a scatter plot has a positive correlation
32248,32248,What is the output of a Lstm
32249,32249,How do you construct a decision tree
32250,32250,Why standard deviation is used instead of variance
32251,32251,Why is the standard deviation used more frequently than the variance
32252,32252,Why standard deviation is most widely used as a measure of variation
32253,32253,Can the standard deviation be greater than the variance
32254,32254,Why is standard deviation preferred over range
32255,32255,What are the advantages of using the standard deviation over range and interquartile range
32256,32256,Why is standard deviation better than interquartile range
32257,32257,When the sample size increases what happens
32258,32258,What happens to the standard deviation as the sample size increases
32259,32259,What does a large sample size do
32260,32260,What happens to mean when sample size increases
32261,32261,Does a larger sample size increase effect size
32262,32262,What is chunking NLP
32263,32263,What are the limitations of Apriori algorithm
32264,32264,What shortcomings of the Apriori algorithm are overcome by the FP growth algorithm
32265,32265,What does higher sensitivity mean
32266,32266,What's the difference between SLO vs SLA
32267,32267,What is a reasonable degree of target reliability for an SLO
32268,32268,What SLO means
32269,32269,What is an SLO in teaching
32270,32270,What is a slo essay
32271,32271,What is the opposite of latent
32272,32272,What is the synonym of latent
32273,32273,What are ensemble classifiers
32274,32274,How do you do proportional stratified sampling
32275,32275,Under what circumstances is a proportionate stratified random sample the most appropriate sampling method
32276,32276,How do you identify and interpret the slope
32277,32277,Is the regression line the slope
32278,32278,What is the point estimate of the standard deviation
32279,32279,How do you find the point estimate of the population mean
32280,32280,Which is used for image classification
32281,32281,What are the different type of classification
32282,32282,What does multidimensional mean
32283,32283,What is multidimensional modeling
32284,32284,Which of the system uses multidimensional data analysis
32285,32285,Is a method of Analysing data in a multidimensional format
32286,32286,What is multidimensional data model give example
32287,32287,What are the different types of multidimensional data models
32288,32288,What is multidimensional data model
32289,32289,Do you understand cross correlations with time lags
32290,32290,How do you find the correlation coefficient between two variables
32291,32291,What causes margin of error to increase
32292,32292,How do you decrease margin of error
32293,32293,How do you interpret the margin of error
32294,32294,How does the confidence level affect the margin of error
32295,32295,Why does the margin of error increase as confidence increases
32296,32296,What happens when you increase the confidence level
32297,32297,What would increase the margin of error
32298,32298,Are margin of error and standard error the same
32299,32299,What would happen to the margin of error of a confidence interval if the standard deviation increased
32300,32300,What is covariance stationary
32301,32301,What is covariance stationary time series
32302,32302,What is Big Data example
32303,32303,How is big data different from regular data
32304,32304,Why is Big Data bad
32305,32305,What is the meaning of big data
32306,32306,What is data and information with example
32307,32307,What do you mean by data
32308,32308,What is difference data
32309,32309,What is discrete series and continuous series
32310,32310,What is the difference between individual series and discrete series
32311,32311,Is quantitative discrete or continuous
32312,32312,Can quantitative data be discrete and continuous
32313,32313,What is the central tendency of a data set
32314,32314,How do you determine the measure of central tendency
32315,32315,Why do we calculate measures of central tendency
32316,32316,Which of the following is not a machine learning algorithm *
32317,32317,What is not machine learning
32318,32318,Is Panel data a time series
32319,32319,What is Panel Data example
32320,32320,What does 11 plus mean
32321,32321,How many questions are there in the 11+
32322,32322,How is estimation done in agile
32323,32323,What are estimation techniques
32324,32324,What is convolution theorem in Laplace transform
32325,32325,What is the shifting property of convolution
32326,32326,What is the commutative property of convolution sum
32327,32327,How do you draw a survival curve
32328,32328,How do you calculate the survival curve
32329,32329,What are ICC values
32330,32330,How is ICC calculated
32331,32331,What is the variance of a standard normal distribution
32332,32332,What does it mean when a system of linear equations has infinitely many solutions
32333,32333,What are selectors explain different types of selectors
32334,32334,Why are type selectors used
32335,32335,What is the purpose of selector
32336,32336,Can partitioning improve performance
32337,32337,What is the difference between neural network and deep learning
32338,32338,How do you calculate variance step by step
32339,32339,How do you find the variance of the distribution of the mean
32340,32340,What is the difference between standard deviation and variance
32341,32341,How do you find variance and standard deviation
32342,32342,What is the formula of linear regression
32343,32343,Do you need to scale for linear regression
32344,32344,What are weights in logistic regression
32345,32345,When would you not use systematic sampling
32346,32346,What are the limitations of sampling
32347,32347,What makes a sample not random
32348,32348,Is simple random sampling
32349,32349,Why is random sampling unbiased
32350,32350,What is at distribution used for
32351,32351,What is machine learning algorithm in prediction
32352,32352,What type of machine learning algorithm is typically used for image recognition and why
32353,32353,What is predictive modeling machine learning
32354,32354,What is random forest and how it works
32355,32355,Is intelligence an algorithm
32356,32356,Which is intelligent search algorithm
32357,32357,WHAT IS A * algorithm in AI
32358,32358,WHAT IS A * algorithm used for
32359,32359,HOW DOES A * algorithm work
32360,32360,What is cut off value
32361,32361,What is a cut off score in statistics
32362,32362,What is cut off value in logistic regression
32363,32363,How do you find the critical value of Ta 2 on a TI 84
32364,32364,How do you find degrees of freedom on a TI 84
32365,32365,Is Poisson process independent
32366,32366,Is a Poisson random variable discrete
32367,32367,What are the four properties of Poisson distribution
32368,32368,How do we add or subtract random variables
32369,32369,What is the sum of expected values
32370,32370,Is RL unsupervised learning
32371,32371,What is machine learning state
32372,32372,How do you find the covariance of a joint distribution
32373,32373,What is the interpretation of the slope and intercept of a regression
32374,32374,What does the intercept of a regression line tell us
32375,32375,Is it meaningful to interpret the Y intercept
32376,32376,What does the Y intercept mean in statistics
32377,32377,Is the Y intercept the average
32378,32378,How do we denote null hypothesis
32379,32379,How do you answer the null hypothesis
32380,32380,What is the probability of rolling two six sided dice and obtaining at least one 6
32381,32381,What are the odds of rolling a straight with 6 dice
32382,32382,How many possibilities are there with 6 dice
32383,32383,Why do we develop AI
32384,32384,What are eigenvalues and eigenvectors a must know concept for machine learning
32385,32385,What is a out group definition
32386,32386,What is meant by in group preferences
32387,32387,What is group and out group
32388,32388,How is open coding used in qualitative research
32389,32389,What is the range for learning rate
32390,32390,How do you do association rule mining
32391,32391,How is data mining related to artificial intelligence
32392,32392,How does gradient descent method work
32393,32393,What do outliers do to data
32394,32394,How do outliers affect distribution
32395,32395,What is a string hash
32396,32396,How do you find the hash function
32397,32397,What do you mean by hashing explain any five popular hash functions
32398,32398,What is being attracted to intelligence
32399,32399,Why does intelligence turn me on
32400,32400,How do we determine attractiveness
32401,32401,What are the most attractive facial features
32402,32402,What traits are considered attractive
32403,32403,What is perceived intelligence
32404,32404,Is it possible to become more intelligent
32405,32405,What are the two requirements for a random sample
32406,32406,Why is simple random sampling
32407,32407,What is sigmoid cross entropy loss
32408,32408,What measures cross entropy
32409,32409,What is K in K means clustering algorithm
32410,32410,How do you interpret eigenvalues
32411,32411,What is criterion and predictor variables
32412,32412,Which is are the predictor variable s in this example
32413,32413,What is a predictor variable in a linear regression
32414,32414,What is a parameter estimate
32415,32415,What are the two types of estimates of a parameter
32416,32416,Why is parameter estimation important
32417,32417,What is the easiest way to calculate variance
32418,32418,How do you calculate variance deviation
32419,32419,How do you find the prediction interval in R
32420,32420,How do you calculate a prediction interval
32421,32421,What is confidence interval in R
32422,32422,What is the formula for confidence interval
32423,32423,Why do we need transfer learning
32424,32424,Does transfer learning work
32425,32425,How do you find the marginal pdf of X
32426,32426,What is distributive function
32427,32427,What is the probability function of x
32428,32428,What factors affect entropy
32429,32429,Does entropy increase with energy
32430,32430,What makes entropy increase
32431,32431,How do you know when entropy increases or decreases
32432,32432,Which of the following processes decreases entropy
32433,32433,What affects entropy
32434,32434,What is non recursive system
32435,32435,What are the different types of filters based on impulse response
32436,32436,What do you do if homogeneity of variance is violated
32437,32437,What do you do when data fails test for homogeneity of variance
32438,32438,What if homogeneity of variance is not met
32439,32439,What happens if homogeneity of variance is violated
32440,32440,What does homogeneous variances mean
32441,32441,How do you interpret a homogeneity of variance
32442,32442,What is the purpose of homogeneity of variance test
32443,32443,What do tests of homogeneity of variance do
32444,32444,Is a rectifier linear
32445,32445,What is logit in deep learning
32446,32446,How is blocking different from stratified sampling
32447,32447,What is the difference between block design and stratified random sample
32448,32448,How is a stratified sample similar to a random sample
32449,32449,What is similar to stratified sampling
32450,32450,What are the different kinds of sampling
32451,32451,What do you mean by complexity of algorithm
32452,32452,What do you mean by complexity of an algorithm explain with an example how time complexity of an algorithm is calculated
32453,32453,What is an algorithm explain with the help of example
32454,32454,When did AI become popular
32455,32455,When was AI first used
32456,32456,Why has artificial intelligence become so popular
32457,32457,Who is the founder of artificial intelligence
32458,32458,What is the origin of artificial intelligence
32459,32459,How do we find standard deviation
32460,32460,What is mean by standard deviation with example
32461,32461,How do you find the standard deviation of a sample
32462,32462,What is the purpose of multiple regression
32463,32463,What is the mean of the given probability distribution
32464,32464,Is a neural network an algorithm
32465,32465,What type of data does facial recognition use
32466,32466,What's the difference between regression and classification
32467,32467,What makes an experiment randomized
32468,32468,Can observational studies be randomized
32469,32469,What is a non randomized study
32470,32470,Is a randomized controlled trial qualitative or quantitative
32471,32471,What is randomization in quantitative research
32472,32472,Can static variable value be changed
32473,32473,Can a variable change its value
32474,32474,What is time series evaluation
32475,32475,How do you choose a time series model
32476,32476,How do you use Arima model
32477,32477,How do you interpret covariance analysis
32478,32478,What does PPV and NPV mean
32479,32479,How do you calculate sample size from sensitivity and specificity
32480,32480,What does passive learning mean
32481,32481,What is active and passive reinforcement learning
32482,32482,How do you do Markov analysis
32483,32483,Is significance level the same as Alpha
32484,32484,What does an alpha of 0.01 mean
32485,32485,What is the relationship between alpha and type 1 error
32486,32486,What is the value of parameter
32487,32487,Does the confidence interval contain the true value of the parameter
32488,32488,Is the value a parameter or a statistic
32489,32489,How do you define a parameter
32490,32490,How do you find parameters in statistics
32491,32491,How do you calculate parameters
32492,32492,What is parameter formula
32493,32493,How do you find the parameters of a function
32494,32494,How do you find parameters and statistics
32495,32495,Is neural networks supervised or unsupervised
32496,32496,What is the formula for the mean of a discrete random variable
32497,32497,How do you find the mean of a random variable
32498,32498,How do you interpret the mean of a discrete random variable
32499,32499,What do you mean by continuous variable
32500,32500,What is the meaning of discrete
32501,32501,Why is chi square right tailed
32502,32502,Why chi square distributions are positively skewed
32503,32503,What is a word embedding model
32504,32504,In what way are a scatter plot and a correlation coefficient similar
32505,32505,What does R represent in a scatter plot
32506,32506,What does a correlation coefficient of r indicate
32507,32507,What does it mean when the correlation coefficient is zero
32508,32508,What does it mean if a scatter plot has no correlation
32509,32509,What is the correlation coefficient in a scatter plot
32510,32510,For which data set is the correlation coefficient r closest to 0
32511,32511,What is the formula for frequency density
32512,32512,How do you calculate a histogram
32513,32513,What is the width of a histogram
32514,32514,What is null and alternative hypothesis in statistics
32515,32515,Why is deep learning robust to noise
32516,32516,How is downside deviation calculated
32517,32517,What does downside risk mean
32518,32518,What is semi deviation
32519,32519,How is downside risk measured
32520,32520,What is a positive skew
32521,32521,What leads to a positive skew
32522,32522,Is data analytics and machine learning same
32523,32523,Is Data Analytics part of artificial intelligence
32524,32524,What does bins mean in histogram
32525,32525,What is bin and frequency
32526,32526,What does frequency mean in a histogram
32527,32527,What is bin in frequency distribution
32528,32528,Is 0.3 A weak correlation
32529,32529,Is 0.07 A strong correlation
32530,32530,How do I use image processing
32531,32531,How do I start image processing
32532,32532,What is meant by image processing
32533,32533,What enables image processing in AI
32534,32534,Is the least squares regression line the line of best fit
32535,32535,What is the least squares line of best fit
32536,32536,What is the formula for least square method
32537,32537,Why is the method of least squares used on time series data
32538,32538,What is the z score at the mean of a normal distribution
32539,32539,How do you compare z scores
32540,32540,What does Z * mean in statistics
32541,32541,What is Z score represent
32542,32542,What does the U mean in probability
32543,32543,What is the difference between Z * and Z score
32544,32544,What is clustering in computing
32545,32545,What does the Z score represent in statistics
32546,32546,What is Z score mean
32547,32547,What is a good Z score in statistics
32548,32548,What is the z score of 2
32549,32549,How do you find the probability that Z lies between two numbers
32550,32550,How do you solve a chain rule question
32551,32551,How do you read the chain rule
32552,32552,What does it mean if two random variables are independent
32553,32553,How do you know if something is an independent variable
32554,32554,Where is Gaussian distribution used
32555,32555,What is TensorFlow saved model
32556,32556,How do you make a TensorFlow model
32557,32557,What are receptive fields in the visual system
32558,32558,What does uncertainty mean
32559,32559,What is uncertainty data
32560,32560,What do you mean by uncertainty
32561,32561,What are the consequences of multicollinearity in regression
32562,32562,What is the meaning of OLS
32563,32563,What is information Shannon
32564,32564,Can machine learning predict the stock market
32565,32565,What is Knn in data science
32566,32566,How does Weka deal with noisy data
32567,32567,Is Anova analysis of variance
32568,32568,Why does Anova assume equal variance
32569,32569,What is the purpose of Anova analysis
32570,32570,What does variance represent in Anova
32571,32571,Why is analysis of variance needed
32572,32572,How do you optimize precision and recall
32573,32573,What is F1 precision recall
32574,32574,How is inductive reasoning used in real life
32575,32575,What are the disadvantages of deductive method
32576,32576,What is the problem with inductive reasoning
32577,32577,What is the weakness of inductive reasoning
32578,32578,How do you determine if a function is convergent or divergent
32579,32579,How do you prove a function is divergent
32580,32580,How do you detect divergence
32581,32581,How do you know if a function diverges
32582,32582,What does it mean to diverge
32583,32583,How do you evaluate information retrieval system
32584,32584,How do you calculate noise in data
32585,32585,How is noise measured
32586,32586,Can we apply the kernel trick to logistic regression
32587,32587,What is the difference between logistic regression and SVM without a kernel
32588,32588,Why is kernel trick used
32589,32589,What is kernel logistic regression
32590,32590,How do you find the independent variable
32591,32591,Where is the independent variable in an equation
32592,32592,What equation is used to find the independent variable
32593,32593,How do you find the independent variable of a function
32594,32594,How do you identify variables in an experiment
32595,32595,How do you distinguish variables
32596,32596,How do you identify a variable in statistics
32597,32597,What is the advantages of social networking
32598,32598,What is social media and its uses
32599,32599,Can RBF be used for solving nonlinear partial differential equations
32600,32600,What are the different change detection strategies
32601,32601,What is the standard deviation of z scores
32602,32602,What is the z score of a value that is 3 standard deviations below the mean
32603,32603,What is the standard deviation of AZ distribution
32604,32604,What are the mean and standard deviation of Az standard normal distribution
32605,32605,What is the mean and SD for a given set of z scores
32606,32606,What is the mean and standard deviation of the Z distribution
32607,32607,What is the standard deviation of Z
32608,32608,How do you find the standard deviation of a distribution
32609,32609,What is standard deviation in normal distribution
32610,32610,How do you calculate sample size based on power
32611,32611,What factors affect sample size
32612,32612,Why does increasing sample size increase power
32613,32613,How does power relate to effect size
32614,32614,Why does power depend on sample size
32615,32615,How do you conduct a power analysis for a sample size
32616,32616,How do you do a power analysis for sample size in SPSS
32617,32617,What factors affect statistical power
32618,32618,What is the Vif function in R
32619,32619,What is PDF value
32620,32620,What is a global minimum of a function
32621,32621,Can a global max be a local Max
32622,32622,How do you find local and global max and min
32623,32623,Which of the following are examples of discrete random variables
32624,32624,Which of the following is a discrete
32625,32625,Which of the following is not a test type *
32626,32626,Which indicator is used in Volhard method
32627,32627,What happens if the mean and median are the same
32628,32628,What does mean and median have in common
32629,32629,What makes Mean and median alike
32630,32630,What does it mean when the mean and median are the same
32631,32631,What does it mean if the mean and median are close together
32632,32632,What does it mean if the mean is less than the median
32633,32633,Is there a chance of a false negative pregnancy test
32634,32634,What is bias weight
32635,32635,What is the weight in neural network
32636,32636,What is linear distribution
32637,32637,What does the chi square test for independence evaluate quizlet
32638,32638,What are the requirements for the chi square test for independence quizlet
32639,32639,What are the limitations of the chi square test
32640,32640,How do you determine the strength of a scatter plot
32641,32641,What is the difference between a strong and weak association on a scatter plot
32642,32642,How do you describe the strength and direction of a linear correlation
32643,32643,How do you determine the strongest correlation
32644,32644,How do you interpret a linear relationship
32645,32645,What is a weak positive linear correlation
32646,32646,Is 0.2 a weak positive correlation
32647,32647,How do you find the median of a probability distribution
32648,32648,What is the beta distribution used to represent
32649,32649,What are the parameters of beta distribution
32650,32650,Can a data set have the same median and mode
32651,32651,How do you find the mode of a data set if there are two
32652,32652,What is the formula for mean median and mode
32653,32653,What is an example of an interval variable
32654,32654,How do you calculate covariance in CAPM
32655,32655,How do you find the sample covariance matrix
32656,32656,How do Boxplots identify outliers
32657,32657,What do Boxplots show that histograms do not
32658,32658,Are outliers included in box plots
32659,32659,Why is a box plot a good method to compare the data
32660,32660,What are some advantages to using a Boxplot
32661,32661,How does removing the outlier affect the box and whisker plot
32662,32662,What do outliers in a box plot mean
32663,32663,What do the outliers indicate
32664,32664,How do you read box plot outliers
32665,32665,What does it mean to have an outlier in a distribution
32666,32666,What do you learn from big data
32667,32667,What is the purpose of using big data
32668,32668,What is included in big data
32669,32669,Is a scalable algorithm for decision tree induction
32670,32670,How do you calculate finite population correction factor
32671,32671,What is the finite population correction
32672,32672,How do you find the correction factor in statistics
32673,32673,Does confidence change your appearance
32674,32674,What makes a man seductive
32675,32675,Why is confidence attractive in a man
32676,32676,Can test accuracy be higher than training
32677,32677,Can validation accuracy be more than training accuracy
32678,32678,What does KTH mean
32679,32679,What does KTH mean in statistics
32680,32680,What is kth smallest element
32681,32681,Is Data Analytics part of data science
32682,32682,What field is data analytics
32683,32683,What is data analytics major
32684,32684,What is the study of data analytics
32685,32685,Is data analysis a major
32686,32686,What is the simple definition of probability
32687,32687,What do you understand by probability
32688,32688,Whats does random mean
32689,32689,What is the role of NLP in AI
32690,32690,What is local connectivity in CNN
32691,32691,Which issue is faced while working with ReLU activation function
32692,32692,What does a sigmoid activation function do to the output value of a neuron or not in our network
32693,32693,What sigmoid function does in a neural network
32694,32694,What is the difference between correlation and partial correlation
32695,32695,What is the difference between bivariate and partial correlation
32696,32696,What are the similarities between correlation and regression
32697,32697,What is Semipartial correlation
32698,32698,What is partial correlation coefficient in statistics
32699,32699,When the population standard deviation is unknown
32700,32700,Which distribution do you use when you are testing a population mean and the population standard deviation is known
32701,32701,What is the distribution of test statistic
32702,32702,When performing a test about the population proportion What distribution would you need to use
32703,32703,When testing a claim about a mean with known population standard deviation σ we use
32704,32704,How do you find standard error when standard deviation is unknown
32705,32705,When both the population mean and population standard deviation are unknown you use the
32706,32706,Can you compare standard deviations
32707,32707,What if population standard deviation is not known
32708,32708,When the population standard deviation is unknown the test statistic is the Student's t distribution
32709,32709,What type of statistical test is used if you don't know the population standard deviation but you know the sample SD n is less than 30 the sample mean and the population mean
32710,32710,Is population standard deviation a statistic
32711,32711,Does linear regression require feature scaling
32712,32712,What are the two measures used for Rule interestingness
32713,32713,Where is Apriori algorithm used
32714,32714,What does convolution layer do in CNN
32715,32715,What is deconvolution image processing
32716,32716,Is LTI A deconvolution
32717,32717,How do you do collaborative filtering
32718,32718,What is the use of input and output device
32719,32719,What is the use of input unit
32720,32720,What is the purpose of output unit
32721,32721,What are input output units
32722,32722,What is input and output device with example
32723,32723,Which statistical measure is robust against outliers
32724,32724,Which statistics are robust
32725,32725,What statistics are sensitive to outliers
32726,32726,What does it mean for a statistical test to be robust
32727,32727,What is pooling in a convolutional neural network
32728,32728,What does a hazard ratio of 0.8 mean
32729,32729,Is Dijkstra algorithm greedy
32730,32730,Is Prim's algorithm greedy
32731,32731,What is global local and dynamic or adaptive threshold
32732,32732,What is discrete probability density function
32733,32733,What is the probability density function of the random variable whose CDF is
32734,32734,How do you find the least squares estimator
32735,32735,How do you calculate least square estimates
32736,32736,What are the least squares point estimates
32737,32737,What is the disadvantage of K means algorithm
32738,32738,Why is area under the curve based dosing used
32739,32739,What is the ROC curve used for
32740,32740,What is non homogeneous Poisson process
32741,32741,What is homogeneous Poisson process
32742,32742,How do you simulate a Poisson process
32743,32743,What is the difference between absolute and local maximum
32744,32744,What is the difference between absolute and relative extrema
32745,32745,What is the difference between a relative extremum and an absolute extremum
32746,32746,What is local maxima and local minima
32747,32747,How do you calculate OLS regression by hand
32748,32748,Which is not the strength of SVM model
32749,32749,Which features are most suitable for object boundaries and occlusion detection in image sequences
32750,32750,What is boundary detection in image processing
32751,32751,What is occlusion detection
32752,32752,What are the abuses of statistics in the real world
32753,32753,What is the main use of statistics
32754,32754,How can statistics be abused
32755,32755,What is the effect of batch size
32756,32756,What is TNF alpha test
32757,32757,Is it hand in hand or hand in glove
32758,32758,What does it mean when something goes hand in hand
32759,32759,What does glove stand for
32760,32760,What does glove mean slang
32761,32761,What does the glove mean
32762,32762,How do you do a stratified random sample
32763,32763,What is the difference between a strata and a cluster
32764,32764,Under what circumstances would you recommend a A stratified sample B A cluster sample describe in detail
32765,32765,How do you stratify data
32766,32766,Why is the normal distribution so common
32767,32767,What are the two branches in statistics
32768,32768,What are the two main branches of statistics give examples
32769,32769,What is the role of sample size in central limit theorem what happens to the shape of distribution of sample mean or proportion when sample size increases with the same sample means what happens to the standard error if sample size increases explain
32770,32770,What is a relative frequency bar graph
32771,32771,What is relative frequency in a histogram
32772,32772,How can you create a relative frequency histogram
32773,32773,What is frequency distribution and histogram
32774,32774,Can you use a frequency distribution to make a histogram
32775,32775,Who Discovered F distribution
32776,32776,Who developed F test
32777,32777,What does PID mean
32778,32778,What does PID stand for in controls
32779,32779,Does stochastic gradient descent converge
32780,32780,Why is gradient descent considered an iterative approach
32781,32781,How are artificial neural networks different from normal networks
32782,32782,What do standard scores mean
32783,32783,What role do standard scores play in assessment
32784,32784,What is unlabelled data
32785,32785,What is artificial intelligence and its application
32786,32786,Why do we use analysis of variance
32787,32787,What is between treatment variance
32788,32788,Why should you use an analysis of variance rather than a series of t tests
32789,32789,Why do we use variance in an Anova instead of mean difference
32790,32790,What statistical test is used to compare means
32791,32791,Does Anova assume equal variance
32792,32792,What is a good AUC number
32793,32793,How do you stop high frequency noise
32794,32794,Does data augmentation improve accuracy
32795,32795,What is translation in data augmentation
32796,32796,What is naive in a naive Bayes
32797,32797,Does PyTorch use TensorFlow
32798,32798,Which of the conditions must be met to perform the two sample t test
32799,32799,What are the conditions for t test
32800,32800,What conditions are necessary in order to use at test to test the differences between two population means
32801,32801,What is an example of a remarketing exclusion along with remarketing targeting
32802,32802,What are the exclusions in advertising
32803,32803,What is narrow marketing
32804,32804,What are the 4 methods of targeting
32805,32805,How do you know when to use the chain rule
32806,32806,What is the difference between reliability and validity quizlet
32807,32807,How do you find positive predictive value
32808,32808,What is Heteroskedasticity in regression
32809,32809,How can we use Random Forest algorithm for regression problem
32810,32810,How do you know if a time series is random
32811,32811,What is a random time series
32812,32812,Is time series data independent
32813,32813,What causes increase in entropy
32814,32814,Is an increase in entropy favorable
32815,32815,Is higher or lower entropy favored
32816,32816,How does prevalence affect PPV
32817,32817,Does prevalence affect specificity
32818,32818,What is PPV epidemiology
32819,32819,What does positive predictive value mean
32820,32820,How do you calculate positive predictive value from sensitivity
32821,32821,What is sensitivity value
32822,32822,What's the difference between sensitivity and specificity
32823,32823,Is PCA linear regression
32824,32824,How do I calculate density
32825,32825,How do you explain a density plot
32826,32826,What is KDE in statistics
32827,32827,What does frequency density tell you
32828,32828,What does M mean in linear algebra
32829,32829,What is linear algebraic equation
32830,32830,What is an expert system explain with a diagram
32831,32831,Where is expert system used
32832,32832,What is expert system
32833,32833,What is a real life example of something that follows a uniform distribution
32834,32834,What is an example of a uniform probability model
32835,32835,What is the difference between independent and mutually exclusive
32836,32836,How do you determine the uncertainty of an instrument
32837,32837,What does it mean for two variables to be uncorrelated
32838,32838,How do you prove two random variables are not independent
32839,32839,Can independent variables be correlated
32840,32840,What is meant by decision tree analysis
32841,32841,What are the advantages of non probability sampling
32842,32842,What is the major difference between probability and non probability sampling
32843,32843,What is the difference between probability and non probability
32844,32844,What is probability and non probability in research
32845,32845,How do you decide between probability and Nonprobability sampling
32846,32846,What are the important factors to be considered in choosing sampling techniques
32847,32847,What is meant by fitting of distribution
32848,32848,How do you fit a normal distribution
32849,32849,What is hot encoding in deep learning
32850,32850,What is coefficient in linear regression
32851,32851,How do you calculate R Squared in linear regression
32852,32852,What is R2 in linear regression
32853,32853,What is r squared value in regression
32854,32854,How does Decision Tree help in data classification
32855,32855,Under what condition does binomial distribution tends to Poisson distribution
32856,32856,What is Return_sequences
32857,32857,What is another word for learning new things
32858,32858,What is another word for learning experience
32859,32859,How would you describe learning
32860,32860,What's another word for learning
32861,32861,What's a word for always learning
32862,32862,When did machine learning take off
32863,32863,Are SAT scores interval or ratio
32864,32864,Are test scores interval
32865,32865,Are grades ordinal or interval data
32866,32866,Are grades a continuous variable
32867,32867,Is average rating a continuous variable
32868,32868,What is a normal probability plot and how is it used
32869,32869,What are QQ plots used for
32870,32870,What does a normal QQ plot look like
32871,32871,How do you scale a variable
32872,32872,Are machines AI
32873,32873,What does robust command do in Stata
32874,32874,What does clustering standard errors mean
32875,32875,Why are clustered standard errors larger
32876,32876,At what level should I cluster my standard errors
32877,32877,When should I use robust standard errors
32878,32878,Why would you use robust standard errors
32879,32879,How do you find the convolution of two signals
32880,32880,What is the order of operation for convolution
32881,32881,How do you write a function in origin
32882,32882,Who discovered backpropagation
32883,32883,Why is it called backpropagation
32884,32884,Who invented backpropagation
32885,32885,What is backwards propagation
32886,32886,What is the reason for back propagation
32887,32887,What are types of filter realization
32888,32888,What are the attributes used in decision tree
32889,32889,How do you choose the best attribute in the decision tree
32890,32890,What is main goal of decision tree learning
32891,32891,How do you calculate variable importance in decision tree
32892,32892,How Variable importance is calculated
32893,32893,What is variable importance in random forest
32894,32894,Are decision tree always binary
32895,32895,Is decision tree a binary classifier
32896,32896,Is this statement correct decision trees can be used only to predict a binary or categorical variable
32897,32897,How do you know if its mutually exclusive or independent
32898,32898,How do you choose between t test and Z test
32899,32899,What is a method of moments estimator
32900,32900,How do you calculate moment method
32901,32901,What is the method of estimation
32902,32902,Is Method of Moments unbiased
32903,32903,How do you interpret Cox regression
32904,32904,What is difference between keras and TensorFlow
32905,32905,Is keras used for machine learning
32906,32906,How do you find the P value and null hypothesis
32907,32907,What is precision recall and F score
32908,32908,How do you calculate accuracy score
32909,32909,Is all AI machine learning
32910,32910,How do you write an objective function
32911,32911,Why is it important to control all other variables
32912,32912,What part of the brain is for intelligence
32913,32913,What in the brain determines intelligence
32914,32914,What lobe of the brain controls intelligence
32915,32915,What defines human intelligence
32916,32916,How can I make my brain more intelligent
32917,32917,What part of the brain makes you intelligent
32918,32918,How does your brain develop and become smarter
32919,32919,Are there differences in receptive fields on the body
32920,32920,What is a good Ks value
32921,32921,Which MBTI is hardest to read
32922,32922,How do you determine the goodness of fit in a regression line
32923,32923,When we want to determine the goodness of fit in a linear regression model do we need to review which two items
32924,32924,How do you find the linear model
32925,32925,How do linear models work
32926,32926,What is a cluster in a data set
32927,32927,How artificial intelligence is impacting our everyday lives
32928,32928,How artificial intelligence is impacting the future
32929,32929,What are the benefits of AI technology
32930,32930,What are the benefits of artificial intelligence in technology
32931,32931,What are the benefits of using artificial intelligence
32932,32932,What are the positive effects of artificial intelligence
32933,32933,What is data manipulation in statistics
32934,32934,What is the meaning of statistical techniques
32935,32935,How do you know if statistics are accurate
32936,32936,How easy is it to lie with statistics
32937,32937,What does lying with statistics mean
32938,32938,Can statistics be wrong
32939,32939,What is data mining and its components
32940,32940,What are data mining methods
32941,32941,How are data structures used
32942,32942,What is data structure and why it is used
32943,32943,Where can I learn TensorFlow
32944,32944,Is Chi square a non parametric test
32945,32945,What is the appropriate test for parametric data
32946,32946,How do you find the mean of a binomial random variable
32947,32947,What is the mean in binomial distribution
32948,32948,What is the mean of a random variable
32949,32949,What is a binomial random variable in statistics
32950,32950,How do you find the mean and standard deviation of a binomial distribution
32951,32951,How can I calculate standard deviation in Excel
32952,32952,Which measure of central tendency is affected by outliers
32953,32953,Which measure of central tendency is most influenced by outliers quizlet
32954,32954,Which of the following measures of central tendency is least affected by outliers
32955,32955,Which measure of central tendency is affected by outliers chegg
32956,32956,Which measure of location is most influenced by outliers
32957,32957,What can outliers tell us
32958,32958,Is range influenced by outliers
32959,32959,Does outlier affect central tendency
32960,32960,Which measure of central tendency happens the most
32961,32961,What is positive feedback example
32962,32962,How is LU decomposition used to solve a system
32963,32963,Is the LU decomposition unique
32964,32964,What is LU decomposition in linear algebra
32965,32965,What is LU decomposition useful for
32966,32966,How do you calculate LU decomposition
32967,32967,What is the principle of LU factorization method
32968,32968,What is one reason why GD&T is an improvement compared to traditional methods for describing part design
32969,32969,What is GD&T engineering
32970,32970,How many types of GD&T are there
32971,32971,What are the GD&T symbols
32972,32972,How do you do optimization problems
32973,32973,What is the importance of probability in decision making
32974,32974,What is the significance of probability
32975,32975,Where does the word Eigen come from
32976,32976,What is the point of eigenvalues
32977,32977,What is an eigenvalue and eigenfunction
32978,32978,What do you mean by Eigen function
32979,32979,How do you find eigen functions
32980,32980,How do you find the percentage of data between z scores
32981,32981,Can you compare z scores
32982,32982,How do you find the area between two z scores calculator
32983,32983,What is the area under the normal curve between Z 1.0 and Z
32984,32984,How do you find the area between two z scores
32985,32985,How do you find the area under the standard normal curve to the right of Z
32986,32986,Is Z score the same as percentile
32987,32987,How do you find the Z score given the mean
32988,32988,How long does it take to learn data structures and algorithms
32989,32989,What is MAPE in regression
32990,32990,What is a good MSE for regression
32991,32991,How do you interpret absolute percentage error
32992,32992,How do you predict using K means
32993,32993,How does a KNN model work
32994,32994,What does KNN algorithm do
32995,32995,Is 0.82 A strong correlation
32996,32996,How are eigenvalues and eigenvectors related
32997,32997,How do you find corresponding eigenvectors
32998,32998,How are neural networks built
32999,32999,What are neural networks made up of
33000,33000,Why is accuracy not always the best way to assess a model's performance in classification models
33001,33001,How is R used in data analytics
33002,33002,How is R used
33003,33003,What does R stand for in data
33004,33004,How is Wilcoxon test rank calculated
33005,33005,What is the rationale for the test statistics used in the Wilcoxon signed rank test
33006,33006,How does greedy algorithm work
33007,33007,What is called greedy algorithm
33008,33008,Are greedy algorithms recursive
33009,33009,What does the law of averages say
33010,33010,What is regression learning
33011,33011,What is partitioning method in data mining
33012,33012,What is the partition method
33013,33013,What is the median percentage
33014,33014,How do you find the median of two samples
33015,33015,What are the methods of randomization
33016,33016,What is randomization research
33017,33017,What are good precision and recall values
33018,33018,How is covariance related to correlation
33019,33019,How do you convert a correlation matrix to a covariance matrix
33020,33020,How do you analyze a correlation matrix
33021,33021,How do you find the covariance matrix in R
33022,33022,Is email unstructured data
33023,33023,Why is unstructured data important
33024,33024,How can we avoid local minima in gradient descent
33025,33025,How do you determine the median
33026,33026,What is the value of median score
33027,33027,How do you interpret the mean median or mode
33028,33028,Why mean and median are different
33029,33029,What does the difference between mean and median tell you
33030,33030,What is shape parameter in statistics
33031,33031,How do you calculate gamma distribution parameters
33032,33032,Is 0.6 a weak positive correlation
33033,33033,How is logistic regression related to linear regression
33034,33034,What is regression in logistic regression
33035,33035,Why linear regression is called linear
33036,33036,Is logistic regression a part of linear regression
33037,33037,How is standard deviation affected by sample size
33038,33038,Is sample standard deviation smaller than population standard deviation
33039,33039,Does standard error depend on sample size
33040,33040,What causes standard deviation to change
33041,33041,What happens when the standard deviation increases
33042,33042,What are different types of analysis
33043,33043,What are the two main types of analysis
33044,33044,What are the different types of data analytics
33045,33045,What are the various methods of data analysis
33046,33046,What is threshold of an image
33047,33047,How can we save our machine learning model and make predictions in Weka
33048,33048,Why do we need streaming analytics
33049,33049,What is streaming analysis
33050,33050,Which tool we used for streaming data analysis
33051,33051,How do you figure out outliers
33052,33052,Under which circumstances would it be appropriate to remove outlying data points
33053,33053,What does low variance high bias mean
33054,33054,What is variance estimate
33055,33055,What does biasing mean
33056,33056,What is bias example
33057,33057,How do you find Iqr with mean and standard deviation
33058,33058,How do you find the first quartile of a normal distribution
33059,33059,How is Q1 calculated
33060,33060,How do you compare Iqr
33061,33061,What is an advantage of the standard deviation over the IQR
33062,33062,What does the Iqr tell us
33063,33063,Which indicator is used in fajans method
33064,33064,How do you find class intervals
33065,33065,What is class interval and class size
33066,33066,What is the difference between class size and class interval
33067,33067,What is class size of class interval
33068,33068,What is meant by class interval
33069,33069,What is the class width in statistics
33070,33070,Why data should be normalized
33071,33071,How can random error be minimized
33072,33072,How can random error be minimized 11
33073,33073,How can you minimize or eliminate experimental errors
33074,33074,How do you minimize random errors
33075,33075,How do you minimize errors
33076,33076,What does it mean when something is quantized
33077,33077,What does it mean to quantize music
33078,33078,What is quantised energy
33079,33079,What does Quantisation mean
33080,33080,What is meant by the term quantized
33081,33081,What is another word for polarizing
33082,33082,What is the mean and variance of hypergeometric distribution
33083,33083,How do you run a generalized estimate in SPSS
33084,33084,What is Z score in bone density
33085,33085,How do you calculate utility conjoint analysis
33086,33086,How do I run a conjoint analysis in SPSS
33087,33087,Can SurveyMonkey Analyse data
33088,33088,Is Anova Parametric
33089,33089,Is one way Anova parametric or nonparametric
33090,33090,What is an ingroup and outgroup
33091,33091,How is multivariate data analysis used in management
33092,33092,What is motivation explain the types of motivation
33093,33093,What are the various types of motivation
33094,33094,What is motivation explain different types of motivation
33095,33095,What is the types of motivation
33096,33096,How do you determine if a range is a function
33097,33097,How can you tell if the domain and range is a function
33098,33098,What decision boundary can logistic regression provide Mcq
33099,33099,Why is the logistic regression is considered linear
33100,33100,How do you determine if a distribution is symmetrical
33101,33101,Is at distribution symmetrical
33102,33102,What distribution is left skewed
33103,33103,How do you know if a distribution is skewed
33104,33104,What does the least squares method do
33105,33105,What are neurons machine learning
33106,33106,What are neural networks in ML
33107,33107,What is a neural network in deep learning
33108,33108,What is the outcome variable dependent variable in this study
33109,33109,What is an outcome variable
33110,33110,How do you convert odds ratio to risk ratio
33111,33111,What is difference between machine learning and artificial intelligence
33112,33112,Why is PCA in unsupervised technique
33113,33113,What does Morpheus say the matrix is
33114,33114,What is Morpheus role in the Matrix
33115,33115,Is Morpheus good or bad Matrix
33116,33116,Who do the agents represent in the Matrix
33117,33117,What does P value of 0.25 mean
33118,33118,What does the Z score of a data point convey
33119,33119,How do you find probability from Z score
33120,33120,How do I use ImageNet
33121,33121,How was ImageNet created
33122,33122,What is the size of ImageNet dataset
33123,33123,What is misclassification in machine learning
33124,33124,Is artificial intelligence a major
33125,33125,What is dummy dependent variable
33126,33126,What are supervised machine learning types
33127,33127,What exactly is probability
33128,33128,How do you do a linear model
33129,33129,How do you write a linear model equation
33130,33130,What is a linear system model
33131,33131,What is logistic regression in data mining
33132,33132,What is the difference between logistic and linear regression
33133,33133,What is logistic regression in research
33134,33134,What is the formula for weighted average in Excel
33135,33135,How do you calculate weighted grades
33136,33136,How do you find average marginal effects
33137,33137,What is the difference between a one sample test and a two sample test
33138,33138,What are the conditions for a one sample t test
33139,33139,What image recognition technology it is and how it works
33140,33140,What is the Implicit Association Test used for
33141,33141,Who developed the Implicit Association Test
33142,33142,How can a test be reliable but not valid example
33143,33143,Can a test have high reliability and low validity or vice versa
33144,33144,What are advantages of algorithm
33145,33145,What is the purpose of an algorithm
33146,33146,What is an unusual z score
33147,33147,What is normal distribution Z
33148,33148,What does a high z score mean
33149,33149,How do you know if you have a higher z score
33150,33150,What is unequal variance t test
33151,33151,When should you assume equal variances
33152,33152,How do you know if variances are equal
33153,33153,Which test is relevant for unequal variances
33154,33154,What if variances are not equal
33155,33155,What does assuming unequal variances mean
33156,33156,Does a two sample test for equality of means assuming unequal variances
33157,33157,How do you perform a two sample assuming unequal variance in Excel
33158,33158,How do you read a factorial design
33159,33159,How do you describe a factorial design
33160,33160,What is the appropriate statistical test for factorial design
33161,33161,How do you analyze factorial designs in Minitab
33162,33162,Why is machine learning needed
33163,33163,What is machine learning what is the need of it
33164,33164,What is sentiment analysis in big data
33165,33165,How do you start a sentiment analysis
33166,33166,How do you write a sentiment analysis model
33167,33167,What do you do with a sentiment analysis
33168,33168,Is it difficult to learn artificial intelligence
33169,33169,What are the parameters of a hypergeometric distribution
33170,33170,What are the properties of a probability distribution
33171,33171,What are the parameters of hypergeometric distribution
33172,33172,What is language and mind connection
33173,33173,What is the application of Fourier Transform
33174,33174,What is Fourier series analysis
33175,33175,What is Fourier analysis and synthesis
33176,33176,What is mean by Fourier series
33177,33177,What is correlation coefficient in regression
33178,33178,How do you find the correlation coefficient from the regression coefficient
33179,33179,What is the correlation coefficient in regression analysis excel
33180,33180,How do you interpret correlation and regression results
33181,33181,What is linear correlation
33182,33182,How do you find the correlation of a regression line
33183,33183,How do you find the correlation coefficient in a regression equation
33184,33184,What is the correlation coefficient of the regression line
33185,33185,How do you find r 2 in regression
33186,33186,What is the relation between coefficient of correlation and regression coefficient
33187,33187,What is the linear correlation coefficient r
33188,33188,How is hysteresis loss measured
33189,33189,What are the uses of studying the hysteresis curve for a given material
33190,33190,What do you mean by hysteresis explain
33191,33191,Is mid range a measure of center or spread
33192,33192,Is range a measure of Centre
33193,33193,What is the midrange of data
33194,33194,Why is sample midrange better than mean
33195,33195,Is Hmm a neural network
33196,33196,What is HMM in artificial intelligence
33197,33197,What is the purpose of conducting a concept analysis
33198,33198,What is Concept analysis technique
33199,33199,How are artificial neural network similar to the brain
33200,33200,Is machine learning is inspired by the structure of the brain
33201,33201,Why is data visualization important
33202,33202,What is the job of a data visualization
33203,33203,When should we use F test
33204,33204,How do you use the F statistic
33205,33205,How do you report degrees of freedom for F statistic
33206,33206,What are the degrees of freedom for the t test
33207,33207,What is AI and deep learning
33208,33208,Where does the term hash it out come from
33209,33209,What is another word for hash
33210,33210,What is the purpose of hash function
33211,33211,Why is hashing so important
33212,33212,What is hashing and types of hashing
33213,33213,What is hashing in coding
33214,33214,What is the function of regression analysis
33215,33215,What are regression functions
33216,33216,Which functions are used in to determine the regression equation
33217,33217,What is needed for regression analysis
33218,33218,What is the function of regression
33219,33219,Which function is used for regression relation lm () predict () Summary ()
33220,33220,What statistical functions relate to regression analysis
33221,33221,Is regression A statistical model
33222,33222,What is the difference between causality and correlation quizlet
33223,33223,What is causation quizlet
33224,33224,Why is random not random
33225,33225,Why would we want to standardize a normal distribution
33226,33226,What causes normal distribution
33227,33227,Do all normal distributions have the same mean and standard deviation
33228,33228,What is at distribution vs normal distribution
33229,33229,How do you use the dropout layer
33230,33230,How do you implement dropout in Tensorflow
33231,33231,Are absorbing states recurrent
33232,33232,What is a recurrent Markov chain
33233,33233,Under what condition is the chain positive recurrent
33234,33234,How a K means clustering algorithm works give an example
33235,33235,How do you calculate covariance matrix by hand
33236,33236,How do you find the variance of a covariance
33237,33237,How do you find the variance of a matrix
33238,33238,How do you derive variance covariance matrix
33239,33239,Can a null hypothesis be negative
33240,33240,Can a hypothesis be negative
33241,33241,Is the null hypothesis accepted or rejected
33242,33242,Which hypotheses can be rejected
33243,33243,How do you find the weighted mean example
33244,33244,What are the situations in which would you recommend using weighted arithmetic mean than using simple arithmetic mean
33245,33245,What is invariance of an equation
33246,33246,What is meant by invariance
33247,33247,What is the invariance hypothesis
33248,33248,What does Det A )= 0 mean
33249,33249,What does statistical correlation mean
33250,33250,How do you normalize data in a histogram
33251,33251,What is normalized probability
33252,33252,Why do we normalize image data
33253,33253,How do you standardize an image
33254,33254,Should I normalize my data
33255,33255,How do you normalize data on a graph
33256,33256,How do you know if a experiment is binomial
33257,33257,How can you tell the difference between a binomial and a regular distribution
33258,33258,What is N dimensional vector
33259,33259,What is R Power N
33260,33260,What does it mean when you learn something new
33261,33261,What do you feel when you learn something new
33262,33262,How do you stay motivated when learning something new
33263,33263,What new things can I learn
33264,33264,Why is it important to learn new things
33265,33265,What happens when you learn new things
33266,33266,What does a distribution curve show
33267,33267,What is true about the normal distribution
33268,33268,How would you describe the shape of a normal curve
33269,33269,What are the types of sampling design
33270,33270,What do you mean by sample design what are the different steps involved in the sample design
33271,33271,Where is AI used
33272,33272,What are the four types of artificial intelligence
33273,33273,What are the areas of artificial intelligence
33274,33274,What are the various areas where AI can be used
33275,33275,What is the value of a random variable
33276,33276,What is meant by continuous random variable
33277,33277,What is the mean of a discrete random variable X
33278,33278,How do you find the EX for a continuous random variable
33279,33279,How do you calculate a regression equation
33280,33280,What is the advantage of randomized quicksort
33281,33281,How do you scale a probability density function
33282,33282,How do you find K in probability
33283,33283,What are constants in statistics
33284,33284,What is constant probability density
33285,33285,What is the difference between accuracy and precision quizlet
33286,33286,What is error and accuracy
33287,33287,What is the difference between accuracy and precision explain with example
33288,33288,What is the difference between precision and sensitivity
33289,33289,What is a one tailed or two tailed hypothesis
33290,33290,How do I use Gaussian blur in Gimp
33291,33291,Which strategy is used for tuning hyper parameters Mcq
33292,33292,What is fine tuning in machine learning
33293,33293,What are examples of metrics
33294,33294,What is a metric in data
33295,33295,What are metrics and why are they important
33296,33296,Why is it called one way Anova
33297,33297,What is two way Anova
33298,33298,How do you find standard deviation from mean deviation
33299,33299,How do you describe a continuous random variable
33300,33300,What are the properties of discrete random variable
33301,33301,How do I convert string variables to numeric ones
33302,33302,How do I convert a string variable to a numeric variable in SPSS
33303,33303,Can a string variable equal a numeric variable
33304,33304,What is dropout Tensorflow
33305,33305,Why can probability be a negative number
33306,33306,How do you find the probability of Z less than
33307,33307,What is the probability that Z is less than 0
33308,33308,How do you use weights to data
33309,33309,How do you do inverse transformation in R
33310,33310,What does inverse CDF mean
33311,33311,How do you interpret cumulative distribution
33312,33312,What is the smallest acceptable sample size
33313,33313,How do you determine the effective sample size
33314,33314,Whats a good sample size for a study
33315,33315,What is effective sample size in MCMC
33316,33316,What does a high z score tell you
33317,33317,How do you interpret hazard ratios in survival analysis
33318,33318,What is Gamma distribution in statistics
33319,33319,How do you find optimal K in K mean
33320,33320,Which statement is true about K means algorithm
33321,33321,What is the objective of K means
33322,33322,Is data science part of machine learning
33323,33323,How do you collect data from a cross sectional study
33324,33324,Where can I find cross sectional data
33325,33325,Do you use multiple R squared or adjusted R squared
33326,33326,Why is it better to use adjusted R squared in multiple linear regression
33327,33327,What is the difference between R r2 and adjusted r2 in multiple linear regression
33328,33328,What is r squared and adjusted R squared
33329,33329,What does adjusted R 2 mean
33330,33330,What is the probability of the mean in a normal distribution
33331,33331,When should normal distribution be used
33332,33332,What is required to have a normal probability distribution
33333,33333,What are parametric and non parametric test in statistics
33334,33334,Why we use nonparametric test in statistics
33335,33335,What is data level parallelism called
33336,33336,What does it mean to encode data
33337,33337,What are different types of encoding
33338,33338,What is the difference between b0 and Y
33339,33339,How do you find A and B in Y ax B
33340,33340,What is B in Y intercept form
33341,33341,What is the B value in Y MX B
33342,33342,What does B represent in y a bx
33343,33343,How do you prove a matrix is symmetric
33344,33344,What does it mean for a matrix to be symmetric
33345,33345,What are the properties of a symmetric matrix
33346,33346,What is symmetric matrix give example
33347,33347,What does it mean to have a symmetric matrix
33348,33348,How do you write a symmetric matrix
33349,33349,How do you find symmetric and skew symmetric matrix
33350,33350,What is the difference between bivariate and univariate
33351,33351,What is univariate and bivariate frequency distribution
33352,33352,Is Cronbach's alpha a measure of reliability
33353,33353,What is Cronbach's alpha used for
33354,33354,Which method can be used to estimate reliability of test Slideshare
33355,33355,How can reliability of a test be obtained
33356,33356,When null hypothesis is accepted or rejected
33357,33357,What is the alpha criterion
33358,33358,How can you make the null hypothesis easier to reject
33359,33359,How do you accept or reject the null hypothesis in Anova
33360,33360,What is precision recall and F1 score
33361,33361,What is precision and recall in ML
33362,33362,What is the difference between F1 score and accuracy
33363,33363,What is accuracy Precision Recall F1 score
33364,33364,What does F1 score indicate
33365,33365,What is the best reason to perform an Anova test rather than multiple t tests
33366,33366,Why would you use an Anova test
33367,33367,What is class mark of a class interval
33368,33368,What is a class mark
33369,33369,How R can be used for predictive analysis
33370,33370,How do you determine if two proportions are significantly different
33371,33371,Which test determines if there is a difference between two proportions
33372,33372,Are two means statistically different
33373,33373,What does Regularisation mean
33374,33374,How do you find interactions
33375,33375,When can you apply the Central Limit Theorem
33376,33376,What does it mean for a data set to be normally distributed
33377,33377,Should data be normally distributed for linear regression
33378,33378,Why does data have to be normally distributed
33379,33379,Does data follow normal distribution
33380,33380,What is normal distribution why it is significant in data science
33381,33381,Can Kafka transform data
33382,33382,What is discount factor in reinforcement learning
33383,33383,Why Is bias a problem
33384,33384,What is the difference between a t test for independent samples and a t test for dependent samples
33385,33385,How do you find the spectral decomposition of a matrix
33386,33386,What is spectrum in linear algebra
33387,33387,How do you find the spectrum of an operator
33388,33388,What is spectral value
33389,33389,Why do we use non parametric test
33390,33390,Is recurrent neural network supervised or unsupervised
33391,33391,How social media use artificial intelligence
33392,33392,How is AI used in social media and gaming
33393,33393,How does social media use machine learning
33394,33394,Does Facebook use TensorFlow
33395,33395,What does deep mind mean
33396,33396,What is DeepMind doing now
33397,33397,What is a vector in econometrics
33398,33398,Where is logistic regression used
33399,33399,What industries use logistic regression
33400,33400,How can you tell if someone is happy
33401,33401,How do you create a decision rule
33402,33402,Can the null hypothesis be rejected
33403,33403,Why is null hypothesis the one to be disproved in a research study
33404,33404,What does it mean if the null hypothesis is false
33405,33405,How many methods are there to validate any design
33406,33406,Why is F test right tailed
33407,33407,Are all F tests non directional
33408,33408,What is sigmoid layer
33409,33409,What does sigmoid function return
33410,33410,What does sigmoid mean
33411,33411,What does covariance signify
33412,33412,Why do you use coefficient of correlation instead of covariance when calculating the association between two random variables
33413,33413,Is correlation coefficient the same as covariance
33414,33414,Why would you use a correlation coefficient
33415,33415,Is expected value same as mean and average
33416,33416,What comes under inferential statistics
33417,33417,What is a frequency matrix
33418,33418,What is meant by the term frequency
33419,33419,Why we use TF IDF
33420,33420,How do you calculate given probability
33421,33421,What is the mean of the sampling proportion
33422,33422,What is sampling distribution of sample proportion
33423,33423,How do you find the proportion of data
33424,33424,How do you find the proportion in statistics with mean and standard deviation
33425,33425,Where do you apply Bayes Theorem
33426,33426,What do you mean by optimization techniques
33427,33427,Why optimization techniques are used
33428,33428,Which of the following activation functions is used in convolutional neural network
33429,33429,What is TensorFlow choose all that apply
33430,33430,What are IID normal random variables
33431,33431,Are the residuals independent
33432,33432,What are the residuals in a regression analysis
33433,33433,Are residuals normally distributed
33434,33434,What is KL divergence used for
33435,33435,How do you calculate KL divergence
33436,33436,What are attention models
33437,33437,What are the conditions for applying chi square test
33438,33438,What are the applications of chi square distribution
33439,33439,When would you use a chi square goodness of fit test
33440,33440,What are the conditions for application of a goodness of fit test
33441,33441,How do you calculate bias in statistics
33442,33442,What are the types of bias in statistics
33443,33443,What makes a distribution binomial
33444,33444,How do you improve the accuracy of a classifier
33445,33445,Which of the following is true for cluster analysis
33446,33446,What do you mean by knowledge representation in AI
33447,33447,How is statistical significance related to probability
33448,33448,How is the significance level related to the probability of a Type I error
33449,33449,What is the relationship between the level of significance and the p value
33450,33450,What is the linear cost function
33451,33451,How do you write a linear cost function
33452,33452,What does linear cost mean
33453,33453,What is the meaning of linear function
33454,33454,What is an example of a linear function equation
33455,33455,What is the cost loss function in deep learning concept
33456,33456,How do you increase r2 in linear regression
33457,33457,Why is serial correlation bad
33458,33458,What is the purpose of a loss function in machine learning
33459,33459,What does unbiased mean in probability
33460,33460,What does it mean when a coefficient is statistically significant
33461,33461,What is the meaning of a significant correlation coefficient quizlet
33462,33462,How do you present a machine learning model
33463,33463,Can we use parametric tests with nonparametric data
33464,33464,How do you Analyse data using non parametric methods
33465,33465,Can random error be measured
33466,33466,When would you use a density plot
33467,33467,What is a kernel density plot
33468,33468,What is meant by frequency density
33469,33469,Is cumulative frequency the same as frequency density
33470,33470,Can decision tree be used for predicting the continuous output values
33471,33471,How do you find interval size
33472,33472,What is the size of the class interval
33473,33473,Is class size and class interval the same
33474,33474,How do you represent a random variable and its value
33475,33475,What is random variable notation
33476,33476,What is the symbol for random sample
33477,33477,What is the function of indicator
33478,33478,How is a Lorenz curve constructed
33479,33479,How do you draw a Lorenz curve
33480,33480,How is the Lorenz curve calculated
33481,33481,How do you describe a Lorenz curve
33482,33482,What is the relationship between Gini coefficient and Lorenz curve
33483,33483,What do you mean by Lorenz curve
33484,33484,How do you reduce AI bias
33485,33485,How are a normal curve and frequency distribution related
33486,33486,What does a normal distribution curve tell us
33487,33487,What are the three characteristics of the normal curve or normal distribution
33488,33488,What is meant by back propagation
33489,33489,What is the effect of choosing a small alpha in gradient descent
33490,33490,Why is TensorFlow used
33491,33491,How do you analyze a dataset
33492,33492,What is data analysis and its types
33493,33493,What is a good way to analyze data
33494,33494,What does it mean when you analyze data
33495,33495,What is the process for analyzing data
33496,33496,What are the merits of sampling
33497,33497,Why do we use Prescriptive Analytics
33498,33498,Can you run at test with unequal sample sizes
33499,33499,Why is it important to avoid a smaller sample size
33500,33500,What is a classification problem in machine learning
33501,33501,What is hierarchical regression analysis
33502,33502,Is age group an ordinal variable
33503,33503,Is age an interval data
33504,33504,Is year an ordinal variable
33505,33505,What kind of data are considered ordinal
33506,33506,How is random sampling is better than systematic sampling
33507,33507,Why do we need to randomize your selection of samples
33508,33508,Why is it important to randomly select a sample
33509,33509,Why is randomization important in the selection of a sample from a population
33510,33510,How many independent and dependent variables are there
33511,33511,Why is kernel used
33512,33512,Why do we use odds ratio
33513,33513,How do you explain odds ratios
33514,33514,What are the key features of a normal curve
33515,33515,What is the equation of the normal curve
33516,33516,What happens if AIC is negative
33517,33517,Who invented ROC
33518,33518,Why are energy levels described as quantized
33519,33519,What are quantized energy levels
33520,33520,Why are orbits quantized
33521,33521,What is AVC at its minimum
33522,33522,How do you reduce AVC
33523,33523,What is the minimum cost output
33524,33524,Why does the minimum point of AC falls to the right of AVC curve
33525,33525,Why does the ATC curve reach its lowest point after the AVC
33526,33526,When average variable cost is at a minimum
33527,33527,What are the uses of analytics tool
33528,33528,Why are data analysis tools important
33529,33529,What does a residual plot tell you
33530,33530,How do you tell if a regression line is a good fit
33531,33531,What is the line of best fit for this data
33532,33532,What are the missing value imputation techniques
33533,33533,What is the best method to deal with missing feature of a dataset
33534,33534,How do you handle missing values in categorical features
33535,33535,How do you impute data
33536,33536,What is the mean of Z scores
33537,33537,What is the mean z in a set of data
33538,33538,How do you interpret Z test
33539,33539,What is positional index
33540,33540,What is meant by inverted index
33541,33541,What is forward indexing and backward indexing
33542,33542,Which of the following is a type of naive Bayes algorithms
33543,33543,Is naive Bayes an algorithm
33544,33544,Why is naive Bayes algorithm considered as naive
33545,33545,What is additive and multiplicative seasonality
33546,33546,Can chi square test be used for ordinal data
33547,33547,Can you do at test on ordinal data
33548,33548,How do you collect ordinal data
33549,33549,How do you interpret log likelihood values
33550,33550,What is the role of quantization in image processing
33551,33551,Why do we standardize variables
33552,33552,What are standardized variables
33553,33553,What does it mean for a transformation to be linear
33554,33554,What is a non linear transformation
33555,33555,Why is every matrix transformation a linear transformation
33556,33556,Why is it called a linear function
33557,33557,Why Linear algebra is called linear
33558,33558,What is a linear equation in linear algebra
33559,33559,Does standard deviation change with sample size
33560,33560,Does frequency affect standard deviation
33561,33561,How do you train models in machine learning
33562,33562,What region shows the z value for a one tailed test
33563,33563,What are the differences between supervised and unsupervised machine learning Explain what you think semi supervised machine learning is
33564,33564,How is machine learning different from data mining
33565,33565,What is data mining in statistics
33566,33566,Is data mining the same as data analytics
33567,33567,Is data mining a part of machine learning
33568,33568,What does artificial intelligence include
33569,33569,Is big data part of artificial intelligence
33570,33570,What is the difference between AI and data analytics
33571,33571,What is difference between data analytics and machine learning
33572,33572,What is N gram used for
33573,33573,What does capital M mean in statistics
33574,33574,What is the symbol for average
33575,33575,What does μ mean in statistics
33576,33576,What does M stand for in statistics
33577,33577,What are the symbols used in statistics
33578,33578,What does I mean in statistics
33579,33579,How do you find Mue in statistics
33580,33580,When should we use median instead of mean
33581,33581,When to use median vs mean VS mode
33582,33582,Is K means supervised or unsupervised
33583,33583,What does dependent mean in probability
33584,33584,How do you deploy machine learning models into production
33585,33585,How is machine learning used in manufacturing
33586,33586,What is the meaning of causal analysis
33587,33587,How do you test a causal relationship
33588,33588,What is data quantization
33589,33589,What is the difference between sampling and quantization
33590,33590,What characterizes a quantizer
33591,33591,What is the probability of type 2 error
33592,33592,What type of data is needed for chi square test
33593,33593,What is the KNN imputation method
33594,33594,Can Knn handle missing values
33595,33595,Which algorithm is used to input the missing values of both continuous and categorical variables
33596,33596,Why does logistic regression use log odds
33597,33597,What is the significance of log odds
33598,33598,How do you calculate log odds
33599,33599,What are odds and log odds
33600,33600,Why do we use odds instead of probability
33601,33601,What is a disadvantage of a quota sampling
33602,33602,What are the disadvantages of sampling method
33603,33603,What is the central risk in using quota sampling methods
33604,33604,What is meant by a feature detector in the visual system
33605,33605,What are two components of feature matching
33606,33606,What is feature matching AAC
33607,33607,Is unsupervised learning deep learning
33608,33608,What is the difference between supervised and unsupervised deep learning
33609,33609,Is a two sample t test Parametric
33610,33610,Is t test a non parametric test
33611,33611,What information should be placed on a decision tree
33612,33612,How do you interpret correlation matrix in SPSS
33613,33613,How do you interpret correlation output
33614,33614,How do you describe the correlation of a scatter graph
33615,33615,What is time variant and time invariant
33616,33616,What does linear time invariant mean
33617,33617,What is accomplished by gradient descent in machine learning
33618,33618,Why do we minimize cost function
33619,33619,What is the size of kernel
33620,33620,What is the kernel size
33621,33621,What is the difference between population proportion and population mean
33622,33622,What is a sample proportion
33623,33623,Under what conditions is the sampling distribution of sample proportion approximately normal
33624,33624,What is the meaning of sentiment analysis
33625,33625,What is the relationship between the variance and the standard deviation quizlet
33626,33626,What is the relationship between the variance and the standard deviation for a sample data set the standard deviation is equal to half the variance
33627,33627,What is the relationship between the variance
33628,33628,Is there a difference between sample standard deviation and standard deviation
33629,33629,Is sample proportion the same as standard deviation
33630,33630,How do you find the inverse of a binomial
33631,33631,When P 0.5 The binomial distribution will
33632,33632,What is inclusive and exclusive series in statistics
33633,33633,What is exclusive method in statistics
33634,33634,What are the two types of AI models
33635,33635,How do you detect autocorrelation
33636,33636,Which test is used to detect autocorrelation in an autoregressive model
33637,33637,What are the remedial measures of autocorrelation
33638,33638,How can autocorrelation be reduced
33639,33639,What is are the disadvantage s of the Durbin Watson test
33640,33640,What are different cost estimation techniques
33641,33641,How do you find the sample point estimate
33642,33642,What happens to the P value when the test statistic increases
33643,33643,What is PSD G 2 Hz
33644,33644,What is theoretical analysis of an algorithm
33645,33645,What is asymptotic notation and its types
33646,33646,What are the asymptotic notations and give its properties
33647,33647,How is AI related to machine learning
33648,33648,Is deep learning artificial intelligence
33649,33649,Is deep learning a narrow AI technology
33650,33650,What is optimization algorithm
33651,33651,What does sampling with replacement mean
33652,33652,What is a sampling unit in statistics
33653,33653,What do you mean by sampling units
33654,33654,What is statistical unit and its types
33655,33655,What is the meaning of sampling method
33656,33656,What is a hash value
33657,33657,Is CRC32 a good hash
33658,33658,What is hash function and how it works
33659,33659,What is hash function give example
33660,33660,How do you measure variability in Excel
33661,33661,What is the formula for variability
33662,33662,How do you find the variance in Excel
33663,33663,How do you find the variance of data
33664,33664,What is the formula used to calculate the variance of a set of data
33665,33665,What does variation in data mean
33666,33666,Does mean show variability
33667,33667,What causes variability in data
33668,33668,Why Artificial intelligence is the future
33669,33669,How close are we to developing artificial intelligence
33670,33670,What is the means of deviation
33671,33671,What is a mean deviation in statistics
33672,33672,What loss function is used for logistic regression
33673,33673,What is the formula for the logistic regression function
33674,33674,What is the cost function in logistic regression
33675,33675,What is DL in machine learning
33676,33676,What does ML DL mean
33677,33677,How do you read a Lagrangian multiplier
33678,33678,What is lambda in Lagrangian multiplier
33679,33679,What does it mean if correlation coefficient is negative
33680,33680,Can a coefficient be a negative number
33681,33681,What does it mean if your R value is negative
33682,33682,How do you calculate expectation
33683,33683,How do you find the independence of two random variables
33684,33684,What is the principle of random sampling
33685,33685,What is the principal purpose of sampling
33686,33686,What are the main method of sampling
33687,33687,What is prior probability evidence
33688,33688,How do you develop face recognition
33689,33689,What is the technology behind facial recognition
33690,33690,How is facial recognition fooled
33691,33691,How does sample size affect variation
33692,33692,What affects variance
33693,33693,What does a large sample variance mean
33694,33694,What is cosine similarity in Python
33695,33695,What is the output of linear regression
33696,33696,What does a high intercept mean in regression
33697,33697,What are regression parameters
33698,33698,What is E in logistic regression
33699,33699,Why is correlation more useful than covariance
33700,33700,What makes correlation different from covariance
33701,33701,How do you find class limits and boundaries
33702,33702,What conditions are necessary in order to use the Z test to test the difference between two population proportions
33703,33703,When would you use the Z test to compare two sample statistics
33704,33704,Which condition must be met to conduct a test for the difference in two sample means using a Z statistic
33705,33705,What is Z test for proportions
33706,33706,How do you explain multiple regression analysis
33707,33707,What are the general limitations of backpropagation neural network
33708,33708,Why is pooling layer used in CNN
33709,33709,What is cross correlation in signal processing
33710,33710,What are text analysis tools
33711,33711,What is text analytics used for
33712,33712,What are ml pipelines
33713,33713,How is Mann Whitney U test rank calculated
33714,33714,How do you find a median rank
33715,33715,What is a keras tensor
33716,33716,What is keras vs TensorFlow
33717,33717,What is the regression formula in Excel
33718,33718,Is selection bias a threat to external validity
33719,33719,Does researcher bias affect validity or reliability
33720,33720,What is a weakness of correlational studies
33721,33721,What is one of the disadvantages of the correlational method
33722,33722,What are the problems with correlational data
33723,33723,What is the primary flaw with correlational research
33724,33724,What are the disadvantages of a correlational study
33725,33725,What are the advantages and disadvantages of a correlational study
33726,33726,What is a problem with correlational studies
33727,33727,Is year a categorical variable
33728,33728,How do you draw a decision tree diagram
33729,33729,How far away is AGI
33730,33730,What is the difference between AGI and AI
33731,33731,How is Ani different from AGI
33732,33732,What does Adam Optimizer do
33733,33733,How do you know if a matrix has eigenvalues
33734,33734,Is λ an eigenvalue of
33735,33735,How do you tell if a vector is an eigenvector of a matrix
33736,33736,What are eigenvectors used for
33737,33737,How do you find the centroid in K means clustering in R
33738,33738,How do you convert log odds to probability
33739,33739,What is the formula for descriptive statistics
33740,33740,What are the main methods of descriptive statistics
33741,33741,How are descriptive statistics displayed
33742,33742,What is the difference between inferential and descriptive statistics
33743,33743,Is Gan A CNN
33744,33744,What is likelihood in risk assessment
33745,33745,What can I use TensorFlow for
33746,33746,How do you make a ML model using TensorFlow
33747,33747,How did Kappa become popular
33748,33748,What does Kappa symbolize
33749,33749,Who is the Kappa guy
33750,33750,How do you solve convolution problems
33751,33751,How do you find the convolution in Matlab
33752,33752,What is an output value
33753,33753,What is the output when the input is
33754,33754,Is y the output
33755,33755,How do you find two standard deviations from the mean
33756,33756,What is 3 standard deviations from the mean
33757,33757,What is standard deviation measured in
33758,33758,What is the CDF of a continuous random variable
33759,33759,What is the purpose of Word2Vec
33760,33760,What is a second order partial derivative
33761,33761,How do you find first and second order partial derivatives
33762,33762,What does Second derivative represent
33763,33763,What happens when second derivative is positive
33764,33764,What does it mean when second derivative is a constant
33765,33765,What is the second derivative rule
33766,33766,What is ML optimization
33767,33767,What does BRCA2 positive mean
33768,33768,What does BRCA 2 mean
33769,33769,What happens if BRCA2 is mutated
33770,33770,What is the goal of random sampling
33771,33771,What is random sampling without replacement
33772,33772,What is the purpose of random selection
33773,33773,What is random sampling used for
33774,33774,What does it mean to randomly select a sample from the target group
33775,33775,What is a good Cohen kappa score
33776,33776,How do you interpret b1 in simple linear regression
33777,33777,What does B stand for in SPSS
33778,33778,What is objective function in AI
33779,33779,What is random assignment in research
33780,33780,What does it mean to randomly assign participants to a condition
33781,33781,Why is the random assignment of individuals to experimental and control groups important for an experiment
33782,33782,Should experimental and control group always be selected randomly
33783,33783,Why is random assignment used in between subjects experimental research
33784,33784,What are decision trees How are they created
33785,33785,How do you do a decision tree analysis
33786,33786,What are the steps in making a decision tree
33787,33787,What is decision tree analysis
33788,33788,Which of the following is the 4th step in analyzing problems with decision trees
33789,33789,How do you find N point DFT
33790,33790,What do you mean by N point DFT
33791,33791,What is an N point
33792,33792,What is N in N point DFT
33793,33793,What is K in Fourier Transform
33794,33794,What are DFT coefficients
33795,33795,What is wn in DFT
33796,33796,Is Anova a regression model
33797,33797,Is Anova a linear model
33798,33798,How do you analyze multiple regression
33799,33799,What is the observed value of Z
33800,33800,When the Z statistic falls in the critical region of the Z distribution it means that
33801,33801,What factors lead to a positive skew
33802,33802,How does a distribution become skewed
33803,33803,Which language is used in deep learning
33804,33804,Does deep learning require coding
33805,33805,Is Python good for deep learning
33806,33806,What are the chances of a false positive pregnancy test
33807,33807,What is an entropy source
33808,33808,What is my entropy source
33809,33809,What is entropy in computer security
33810,33810,What is an entropy pool
33811,33811,What methods are used to analyze qualitative data
33812,33812,How do you analyze qualitative content
33813,33813,How do you Analyse multiple response data
33814,33814,How do you analyze survey responses
33815,33815,Why are feature detectors important
33816,33816,What do feature detectors do
33817,33817,Where are your feature detectors
33818,33818,How does the brain use features detectors during parallel processing of visual information
33819,33819,How do feature detectors help
33820,33820,What is the purpose of feature detectors
33821,33821,Where are feature detectors located in the visual system
33822,33822,Where are feature detectors
33823,33823,Does scaling reduce image quality
33824,33824,What is downsampling in machine learning
33825,33825,How do I lower the quality of a picture
33826,33826,How do I reduce the quality of a JPEG image
33827,33827,How can I change the quality of a picture
33828,33828,What makes data Parametric
33829,33829,What are the methods of estimating probability
33830,33830,What is an empirical estimate
33831,33831,What is the mean of a chi square distribution with 6 degree of freedom
33832,33832,What is DF in Chi Square
33833,33833,What is reinforcement in machine learning
33834,33834,Is reinforcement learning deep learning
33835,33835,What does misuse of statistics mean
33836,33836,What is segmentation in computer vision
33837,33837,When should you interpolate data
33838,33838,Why is interpolation reliable
33839,33839,Why is solving using linear interpolation important
33840,33840,What is the difference between a single sample z test and a single sample t test
33841,33841,What is a single sample
33842,33842,What is the formula for t test in statistics
33843,33843,What is the t statistic calculated from the sampled data
33844,33844,What is the formula for t test of independent samples
33845,33845,What does standard error of regression tell you
33846,33846,What does standardized regression coefficient mean
33847,33847,Is there bias in systematic sampling
33848,33848,Why is convenience sampling biased
33849,33849,What is logistic regression vs linear regression
33850,33850,What is meant by linear regression model
33851,33851,Is linear regression linear
33852,33852,Who gave the concept of learning
33853,33853,What is the meaning of conceptual learning
33854,33854,How does a decision tree decide to split
33855,33855,What is splitting variable in big data analytics
33856,33856,What is the criteria to select nodes for splitting in a decision tree
33857,33857,What is criterion in decision tree
33858,33858,How are artificial intelligence machine learning and deep learning related
33859,33859,Is ML same as AI
33860,33860,What is the P value of the chi square test of independence
33861,33861,What does sequential learning mean
33862,33862,What is horizontal transfer of learning
33863,33863,What does sequential learning mean and how can it be helpful
33864,33864,What I learned about sequence
33865,33865,What is the sensitivity criterion
33866,33866,What is sensitivity bias
33867,33867,What factors affect signal detection
33868,33868,Why do we need to find eigenvalues
33869,33869,Is coding required for machine learning
33870,33870,Is machine learning different from coding
33871,33871,What is learning machine learning
33872,33872,What is the difference between AI and coding
33873,33873,Why AI is so important
33874,33874,How can artificial intelligence benefit humans
33875,33875,What are advantages and disadvantages of artificial intelligence
33876,33876,What are the advantages of AI
33877,33877,What are the disadvantages of AI
33878,33878,What exactly is AI
33879,33879,Is it better to have a high or low variance
33880,33880,What does variance mean in descriptive statistics
33881,33881,What does the Poisson distribution represent
33882,33882,How are Poisson and exponential distributions related
33883,33883,How Poisson distribution is derived
33884,33884,How do you derive an exponential distribution
33885,33885,What is Poisson distribution used for
33886,33886,How do Quantiles work
33887,33887,How do you use ACF and PACF plots
33888,33888,What is autocorrelation
33889,33889,What is autocorrelation in linear regression
33890,33890,What is the null hypothesis for a Mann Whitney U test
33891,33891,How is the t distribution similar to the standard Z distribution
33892,33892,What are the similarities and difference of a Z test and a t test
33893,33893,What is the difference between t test and t distribution
33894,33894,What's the difference between z test and t test
33895,33895,Which activation function is used in the hidden layers of CNN
33896,33896,What type of data is used in a histogram
33897,33897,What graph is used for qualitative data
33898,33898,Can histograms be used for quantitative data
33899,33899,What is the distribution of a data set
33900,33900,Why are distributions important in statistics
33901,33901,How do you analyze data distribution
33902,33902,What does the mean tell us about a distribution
33903,33903,Why we use distribution in statistics
33904,33904,What is a one sample proportion z test
33905,33905,Why do we use biased data
33906,33906,What does bias in data mean
33907,33907,How does bias impact a study
33908,33908,What is a bias in a statistical study
33909,33909,How can biased sampling affect the statistical study of a population
33910,33910,Why it is important to create a truly unbiased sample and survey questions
33911,33911,What does it mean to have an unbiased sample
33912,33912,How is artificial intelligence a threat
33913,33913,Why is artificial intelligence dangerous
33914,33914,Why is artificial intelligence a threat
33915,33915,What are the benefits and risks of artificial intelligence
33916,33916,What is the shape of the sampling distribution
33917,33917,How do you know if a sampling distribution is skewed
33918,33918,What is the expected mean for the distribution of sampling means
33919,33919,What type of shape does the distribution of the sample appear to have
33920,33920,How do you compare the shape of a sampling distribution
33921,33921,What is the shape of the sampling distribution of the sample mean
33922,33922,What is the shape of the sampling distribution of p hat
33923,33923,Is gradient descent technique for solving optimization problems
33924,33924,How do you select variables in logistic regression
33925,33925,What is the purpose of cluster analysis in data warehousing
33926,33926,How do you interpret confidence level
33927,33927,What do you mean by clustering What are the benefits
33928,33928,How do I test interaction effects in SPSS
33929,33929,What does an interaction mean in statistics
33930,33930,What is a two way interaction in statistics
33931,33931,How can we use artificial intelligence
33932,33932,How is AI used in society
33933,33933,What is machine learning applications
33934,33934,What is ML example
33935,33935,Which of the following are applications of machine learning and deep learning
33936,33936,Which of the following are the applications of machine learning
33937,33937,What are the applications of TensorFlow
33938,33938,What is meant by machine learning
33939,33939,How does machine learning consume data
33940,33940,How does machine learning use big data
33941,33941,What does the value of standard deviation tell us
33942,33942,What does relative average deviation tell us
33943,33943,Are standardized scores and Z scores the same
33944,33944,What are the requirements for using t test
33945,33945,Is the t test robust
33946,33946,What are the limitations of a one sample t test
33947,33947,What is a one sample t test used for
33948,33948,How do I change the angle of a picture
33949,33949,How do I drag a picture in Word
33950,33950,How do you move an image to the right in CSS
33951,33951,How do I align an image to the right
33952,33952,How do you explain binomial theorem
33953,33953,How do you read a binomial distribution graph
33954,33954,How do you find the linearity of a linear regression
33955,33955,What is linearity in multiple regression
33956,33956,How do you find the assumption of linearity
33957,33957,How do you calculate regression assumptions
33958,33958,How do you test multiple regression assumptions in SPSS
33959,33959,How do you analyze multiple linear regression in SPSS
33960,33960,What is the difference between a feedforward neural network FFNN and a recurrent neural network RNN )? What can a RNN do that a FFNN Cannot do
33961,33961,What is dense layer in machine learning
33962,33962,How do curves work in photo editing
33963,33963,What do curves do
33964,33964,What are tone curves
33965,33965,What is the curve tool
33966,33966,How is weighted KNN algorithm better simple KNN algorithm
33967,33967,What does entropy depend on
33968,33968,How do you read mutual information
33969,33969,What is PMI in DAA
33970,33970,Which tool is best suited for neural network problem
33971,33971,What are the applications of artificial neural networks
33972,33972,How do you graph probability
33973,33973,How do you graph a probability distribution on a TI 84
33974,33974,How do you graph a binomial probability distribution
33975,33975,What is kernel in Matrix
33976,33976,What is the kernel of a linear transformation
33977,33977,What is kernel and image of a matrix
33978,33978,Is kernel the same as null space
33979,33979,What is the kernel of a function
33980,33980,How do you find the kernel and range of a linear transformation
33981,33981,How do you find the kernel of a vector
33982,33982,What is kernel in vector space
33983,33983,How do you calculate kernel basis
33984,33984,How do you find the basis of a linear transformation
33985,33985,How do you find a basis for the null space of A
33986,33986,How do you define learning
33987,33987,What do you mean by learning in machine learning
33988,33988,What is machine learning and examples
33989,33989,What is the square of the variance
33990,33990,Why do you square the variance
33991,33991,How do you find the sum of squared deviations
33992,33992,How do you find the sum of squares from standard deviation
33993,33993,How do you tell if the distribution is normal
33994,33994,How many different normal distributions are there
33995,33995,How do you combine normal distributions
33996,33996,What is simple and multiple regression analysis
33997,33997,What does a regression analysis tell us
33998,33998,How do you find the random sample size
33999,33999,What is K in systematic sampling
34000,34000,How do you find the interval in systematic sampling
34001,34001,How do you solve systematic random sampling
34002,34002,Why does entropy use log base 2
34003,34003,What is the difference between log base 10 and log base 2
34004,34004,How do you find the probability function of x
34005,34005,How do you find the probability density of a random variable X
34006,34006,How do you know if something is a probability density function
34007,34007,WHAT IS lens blur
34008,34008,Why do we use Gaussian filters
34009,34009,What is class boundary
34010,34010,What is judgment sampling and example
34011,34011,What is an example of purposive sampling
34012,34012,What does K after a number mean
34013,34013,What does K mean from a guy
34014,34014,What makes a system isolated
34015,34015,What is an example of an isolated system
34016,34016,What is the difference between isolated and closed system
34017,34017,How do you find the standard deviation of a geometric distribution
34018,34018,How do you find the mean and variance of a geometric distribution
34019,34019,How do you find the mean of a binomial distribution on a TI 84
34020,34020,What is conditioning in statistics
34021,34021,What is the normal condition in statistics
34022,34022,What is conditional mean and variance
34023,34023,What is a linear model of communication
34024,34024,What are linear and non linear models
34025,34025,What is regression analysis output
34026,34026,What is the output variable type in linear regression
34027,34027,What are the applications of artificial intelligence system
34028,34028,Where can I apply artificial intelligence
34029,34029,What is Alphabeta
34030,34030,What is Alpha Beta pruning explain with example
34031,34031,What is the difference between alpha and beta pruning
34032,34032,What is standardized factor loading
34033,34033,What is Delta E in color measurement
34034,34034,What is Delta E formula
34035,34035,What does L * a * b * stand for
34036,34036,What is a Delta E reading
34037,34037,What is Delta E value
34038,34038,What is a good Delta E
34039,34039,How is Delta E calculated
34040,34040,How do you prove a linear transformation
34041,34041,What makes a transformation linear
34042,34042,How do you determine if a matrix is a linear transformation
34043,34043,How do you prove a function is a linear transformation
34044,34044,What is TFX Itworks
34045,34045,What is autotune in TensorFlow
34046,34046,What is TensorFlow extended
34047,34047,Is logistic regression for classification
34048,34048,Is Regression a classifier
34049,34049,Is logistic regression a linear classification model
34050,34050,How is logistic regression used as a classifier
34051,34051,What is the use of wavelet transform in image processing
34052,34052,Why DWT is used in image processing
34053,34053,What is discrete wavelet transform in image processing
34054,34054,What is X bar in linear regression
34055,34055,How do you find X in least squares regression line
34056,34056,What is the regression line of X on Y
34057,34057,What are examples of asynchronous learning
34058,34058,Which of the following is asynchronous learning tool
34059,34059,What does synchronous learning mean
34060,34060,What is synchronous and asynchronous learning
34061,34061,Which is an example for synchronous learning
34062,34062,What does synchronous mean
34063,34063,What are the types of Nonprobability sampling
34064,34064,What is a probability sampling method
34065,34065,What is the best type of probability sampling
34066,34066,What is a hit in signal detection theory
34067,34067,How do you report regression in SPSS
34068,34068,How do you do a Poisson regression model
34069,34069,What are the source of uncertainty
34070,34070,What factors might contribute to the uncertainty of a measurement
34071,34071,How is measurement uncertainty defined
34072,34072,How do you calculate uncertainty in addition
34073,34073,How uncertainties combine when variables are added
34074,34074,Is normal distribution independent
34075,34075,Can validation accuracy be higher than training accuracy
34076,34076,What's the difference between machine learning and statistics
34077,34077,Is machine learning a regression
34078,34078,Are neural networks regression
34079,34079,What does P value of 0.001 mean
34080,34080,Why is entropy so important
34081,34081,What is the application of gamma distribution
34082,34082,What is a random variable explain with an example
34083,34083,What does logistic growth mean
34084,34084,What exactly is regression
34085,34085,What is linear regression in deep learning
34086,34086,Is linear regression machine learning
34087,34087,Is linear regression a neural network
34088,34088,Is P value and alpha the same
34089,34089,What does an alpha of 0.05 mean
34090,34090,Does sample size affect sample mean
34091,34091,How does sample size affect expected value
34092,34092,What does outgroup mean in sociology
34093,34093,What's an ingroup and outgroup
34094,34094,What is a logit in TensorFlow
34095,34095,How do you create a decision tree model
34096,34096,How do you create a decision tree in machine learning
34097,34097,What is the approach of basic algorithm for decision tree induction
34098,34098,Is R Squared correlation squared
34099,34099,What does an R squared value mean
34100,34100,What is the difference between R and R2 R squared
34101,34101,Is r2 a correlation coefficient
34102,34102,What is a good r squared
34103,34103,What is the formula used to determine the proportion of something in a sample population
34104,34104,What is the sample proportion of successes
34105,34105,How do you find the confidence interval for a sample proportion
34106,34106,Will the confidence interval contain the sample proportion
34107,34107,How do you estimate the sample proportion
34108,34108,How do you find the proportion of a distribution
34109,34109,What is the difference between reliability and robustness attribute
34110,34110,How do you check if a distribution is Gaussian
34111,34111,What are the properties of Gaussian distribution
34112,34112,How do you interpret skewness and kurtosis values
34113,34113,What is acceptable skewness and kurtosis
34114,34114,What is difference between big data and data analytics
34115,34115,What is big data and its types
34116,34116,What type of data is big data
34117,34117,How many types of big data are there
34118,34118,What is an example of bottleneck
34119,34119,What is another word for bottleneck
34120,34120,How do you use bottleneck in a sentence
34121,34121,What is the main difference between paired and independent samples
34122,34122,What is a paired sample test
34123,34123,Does margin of error account for sampling error
34124,34124,Is sampling error and standard error the same
34125,34125,What does a sampling error mean
34126,34126,What is the difference between sampling and nonsampling error
34127,34127,Is a measure of sampling error
34128,34128,How do you calculate margin of error from standard error
34129,34129,What is standard error and margin of error
34130,34130,What is a good binary cross entropy loss
34131,34131,How does increasing sample size affect power
34132,34132,Does effect size increase with sample size
34133,34133,What is the purpose of knowledge based system
34134,34134,What does the U in probability mean
34135,34135,What does AUB mean in statistics
34136,34136,What does N stand for in probability
34137,34137,What does the symbol n represent
34138,34138,What are the symbols in probability
34139,34139,How is Bigram calculated
34140,34140,What is Bigram model
34141,34141,How do you find the difference in proportions
34142,34142,What is the point estimate for the difference between the proportions
34143,34143,How do you interpret proportions
34144,34144,What is a two sample proportion test
34145,34145,What is considered an inferential statistic
34146,34146,What is grid search CV in machine learning
34147,34147,What does R Squared mean in multiple regression
34148,34148,How do you calculate R Squared in multiple linear regression
34149,34149,What happens when we introduce more variables to a linear regression model r squared
34150,34150,Is it better to use adjusted R squared in multiple linear regression
34151,34151,Does correlation change if units change
34152,34152,What happens when you switch explanatory and response variables
34153,34153,How would the correlation change
34154,34154,What is the difference between data processing data preprocessing and data wrangling
34155,34155,Which of the following might be valid reason for preparing and SVM over neural network
34156,34156,How do you perform object detection
34157,34157,What is prediction bias
34158,34158,What does bin mean
34159,34159,What is a statistical moment
34160,34160,What kind of data do correlations typically use
34161,34161,What is correlation data analysis
34162,34162,What type of data do you need for a Pearson correlation test
34163,34163,Can you do a correlation with ordinal data
34164,34164,Which correlation is used when there are two ordinal variables
34165,34165,Which correlation is suitable for quantitative and ordinal variable
34166,34166,What is the use of correlation coefficient
34167,34167,What does the correlation coefficient r tell us
34168,34168,Is MongoDB good for large data
34169,34169,Is MongoDB big data product
34170,34170,How does MongoDB store big data
34171,34171,What is an example of an independent sample
34172,34172,Which attributes of a sampling distribution are predicted by the Central Limit Theorem
34173,34173,What are the applications of ML
34174,34174,What is the difference between Fourier transform and discrete Fourier transform
34175,34175,What is meant by discrete Fourier transform
34176,34176,What is B in binary logistic regression
34177,34177,What does SE B represent
34178,34178,What does B mean in SPSS
34179,34179,What does beta mean in logistic regression
34180,34180,What is beta value in regression
34181,34181,What is b1 in logistic regression
34182,34182,What is the goal of artificial intelligence
34183,34183,What are main features of artificial intelligence
34184,34184,Why do we use log functions
34185,34185,How do log functions work
34186,34186,What is the definition of a logarithmic function
34187,34187,Why do data need to be normally distributed when conducting an Anova
34188,34188,What is normality assumption in Anova
34189,34189,What is the probability density function of thermal noise
34190,34190,Why Awgn is used in communication
34191,34191,Is Likert scale ordinal data
34192,34192,How do you calculate a permutation
34193,34193,What is mean Centring
34194,34194,What are centered variables
34195,34195,What does centering mean in statistics
34196,34196,Is data science all about statistics
34197,34197,How are data and statistics related
34198,34198,Do I need to know statistics for data science
34199,34199,Does variance mean range
34200,34200,Can variance and mean be negative
34201,34201,Does a higher standard deviation mean more variation
34202,34202,Does a Turing machine exist
34203,34203,Which is better VUE or react or angular
34204,34204,Is Vue better than angular
34205,34205,Which is better VUE or react
34206,34206,How do you interpret binomial expansion
34207,34207,What does binomial expansion mean
34208,34208,How do you write binomial expansion
34209,34209,What do you mean by binomial explain with example
34210,34210,What is the binomial theorem used for in real life
34211,34211,Why is binomial expansion useful
34212,34212,How do you use the binomial expansion formula
34213,34213,How do you expand a product of two binomials
34214,34214,Where are feature detectors found
34215,34215,Where are feature detectors located
34216,34216,Are feature detectors located in the occipital lobe
34217,34217,How do you find the threshold value of an image in Opencv
34218,34218,How do you find the threshold value of an image in Matlab
34219,34219,Which test can be used to compare the two means
34220,34220,What are the commonalities and differences between two sample t test and Anova
34221,34221,What are groups in Anova
34222,34222,What is one way Anova in statistics
34223,34223,How do you interpret one way Anova
34224,34224,What does it mean for two numerical variables to be associated
34225,34225,What causes a false positive
34226,34226,Who would suffer from a false positive result Why
34227,34227,What is false positive example
34228,34228,What is inter and extrapolation
34229,34229,What do you mean by squashed
34230,34230,What is squashing commits in git
34231,34231,What are synonyms for squashed
34232,34232,Is Tanh an activation function
34233,34233,Are decision trees Parametric
34234,34234,How do you create a multiple regression equation
34235,34235,What does Alpha tell you in statistics
34236,34236,What is the difference between alpha level and P value
34237,34237,What is an alpha value
34238,34238,What is the alpha level in stats
34239,34239,What is entropy in neural network
34240,34240,What is cross entropy in machine learning
34241,34241,What is dataset in image processing
34242,34242,What are different types of DataSets
34243,34243,Why do we use back propagation
34244,34244,How do you calculate standard error in regression
34245,34245,What is standard error of estimate in multiple regression
34246,34246,What is the standard error in linear regression
34247,34247,How do you find the error in a linear regression
34248,34248,How do you find standard error on TI 84
34249,34249,What is a comparison distribution
34250,34250,How do you know if a transformation is linear
34251,34251,What is linear transformation in matrix
34252,34252,What does linear transformation mean
34253,34253,Is random forest the same as decision tree
34254,34254,What is knowledge and its types in artificial intelligence
34255,34255,How do we represent facts and knowledge in AI
34256,34256,What is knowledge based agent in AI
34257,34257,What is knowledge AI
34258,34258,What are threats to statistical conclusion validity
34259,34259,What does hashing it out mean
34260,34260,What is convolution sum in signal and system
34261,34261,What is convolution sum DSP
34262,34262,How do you calculate convolution
34263,34263,How do you find the convolution sum of two sequences
34264,34264,How many agents are there in AI
34265,34265,How deep learning models are built on keras
34266,34266,How do you train to be a deep model
34267,34267,What type of activation function is used in artificial neural network
34268,34268,What is train accuracy
34269,34269,What is difference between testing and training
34270,34270,How can you test the accuracy of data
34271,34271,What is the smallest significance level at which you would reject the null hypothesis
34272,34272,Why reject null hypothesis when p value is small
34273,34273,When P value is less than alpha
34274,34274,Do you reject or fail to reject Upper H 0 at the 0.01 level of significance
34275,34275,What is an alpha value in statistics
34276,34276,What is the objective of clustering
34277,34277,What is the point of cluster analysis
34278,34278,What is difference between class and object with example
34279,34279,What is the difference between an object and a class in the object oriented data model ODM
34280,34280,How do you normalize statistics
34281,34281,Should I normalize test data
34282,34282,What does it mean to normalize your data
34283,34283,How do you normalize training data
34284,34284,How do you know which derivative rule to use
34285,34285,What is the need of confidence measure in association rule mining
34286,34286,How do you calculate support and confidence in Apriori algorithm
34287,34287,Do I need GPU for deep learning
34288,34288,Which GPU is good for deep learning
34289,34289,What are the components of deep learning
34290,34290,What is the difference between correlation and beta
34291,34291,Is beta the same as coefficient
34292,34292,What is beta How is it interpreted
34293,34293,What does the beta value mean in regression
34294,34294,What does a negative beta value mean in regression
34295,34295,What does a beta weight mean
34296,34296,How do you test parametric data
34297,34297,Why do we normalize distribution
34298,34298,Does normalization change distribution
34299,34299,How do you Normalise a function
34300,34300,How do you normalize data in normal distribution
34301,34301,What is Type II error in hypothesis testing
34302,34302,How can I recognize faces
34303,34303,What does cumulative density function mean
34304,34304,What is Univariate statistical test
34305,34305,Is Random Forest a bagging algorithm
34306,34306,What type of model is random forest
34307,34307,Is Random Forest a classifier
34308,34308,How do you find the critical value on a TI 84 Hypothesis test
34309,34309,What is testing in AI
34310,34310,How can I access artificial intelligence
34311,34311,Which statement is represented by P Q
34312,34312,How does Decision Trees handle missing values
34313,34313,How are missing values handled in data mining
34314,34314,What does it mean if a correlation is 0
34315,34315,What is the coefficient of 0
34316,34316,What does an R value of 0 mean
34317,34317,What happens when R 0
34318,34318,What does correlation look like
34319,34319,When the correlation coefficient is 0 the two regression lines are
34320,34320,What does b0 mean in regression
34321,34321,What are the two lines of regression
34322,34322,When the two regression lines coincide the value of R is
34323,34323,What is the formula for calculating correlation coefficient
34324,34324,How do convolutional networks work
34325,34325,What is temporal convolutional network
34326,34326,What is the spectral norm
34327,34327,What is Frobenius Norm used for
34328,34328,Is Frobenius Norm Submultiplicative
34329,34329,What is spectral radius of a matrix
34330,34330,How do you find the magnitude of a 3x3 matrix
34331,34331,What is magnitude in linear algebra
34332,34332,How do you find the magnitude of a column vector
34333,34333,What is matrix formula
34334,34334,What is model evaluation metrics
34335,34335,What is the notation for variance
34336,34336,What is the correct notation for population parameter
34337,34337,What is Q hat in statistics
34338,34338,How do you know if data is normally distributed
34339,34339,What makes something a normal distribution
34340,34340,Is Wilcoxon a non parametric test
34341,34341,Why is Wilcoxon signed rank test used
34342,34342,What are the 4 steps in a root cause analysis
34343,34343,How do you read Anderson Darling normality test
34344,34344,What is p value in Anderson Darling test
34345,34345,How do you Analyse a normality test
34346,34346,What should the P value be for a normal distribution
34347,34347,How is Anderson Darling P value calculated
34348,34348,When you do an Anderson Darling test of normality How do you know if the data are normally distributed
34349,34349,What is a normal distribution p value
34350,34350,How does linear regression determine line of best fit
34351,34351,How do you interpret Poisson coefficients
34352,34352,Can SPSS be used on Mac
34353,34353,Where can I find SPSS on Mac
34354,34354,What platforms are supported by TensorFlow Lite check all that apply
34355,34355,How does a neuron work
34356,34356,How does a nerve cell work
34357,34357,How does the neuron work
34358,34358,How does nerve cell work
34359,34359,How do neurons work in the brain
34360,34360,What triggers a neuron
34361,34361,What is the process of a neuron firing
34362,34362,What activates the neuron threshold
34363,34363,What does the sample variance mean
34364,34364,How do you find the variance of differences
34365,34365,How do you find the standard deviation of the difference between two means
34366,34366,What type of model is logistic regression
34367,34367,How are distribution important in any statistical study
34368,34368,What is meant by the variation of a distribution
34369,34369,What are the measures of variation and why are they important
34370,34370,What is the significance of variance in statistics
34371,34371,How do you get true randomness
34372,34372,What is the purpose of finding the discriminant
34373,34373,What is the discriminant and how do you compute it
34374,34374,How do you convert rates into dimensional analysis
34375,34375,How do you do multi step dimensional analysis
34376,34376,What is iterative and recursive
34377,34377,Is recursive the same as iterative
34378,34378,What is better iterative or recursive
34379,34379,What does the order of a matrix mean
34380,34380,Why do we find rank of a matrix
34381,34381,What does it mean when a matrix 0
34382,34382,What are the parameters in training a decision tree
34383,34383,What is the difference between unigram and bigram
34384,34384,How do you find the sample standard deviation
34385,34385,What is the formula for sample variance in Excel
34386,34386,How do you find standard deviation and variance on a TI 84
34387,34387,How do you find sample standard deviation on TI 84
34388,34388,How do you find sample variance in Excel
34389,34389,What is variance formula in Excel
34390,34390,How do you find the variance on a spreadsheet
34391,34391,How does standardizing a variable affect the shape center and spread of its distribution
34392,34392,When we standardize using z scores the shape of the distribution does not change
34393,34393,Does standardization change distribution
34394,34394,What is the distribution of z scores
34395,34395,How do you interpret a decision tree in R
34396,34396,How do you code a decision tree in R
34397,34397,What is decision tree in R
34398,34398,How do you calculate survival rate of disease
34399,34399,What are type I and type II errors in hypothesis testing
34400,34400,What do you mean by Type 1 and Type 2 error
34401,34401,What do you mean by Type I error
34402,34402,Can root mean square error be negative
34403,34403,What is the z score for 96 confidence interval
34404,34404,What is the z score for 95 percent confidence interval
34405,34405,What does a negative entropy mean
34406,34406,What is positive and negative entropy
34407,34407,Can you have negative entropy
34408,34408,When can you use a linear model
34409,34409,What is a good r2 score
34410,34410,When events A and B are said to be independent What does that mean quizlet
34411,34411,When two events A and B are independent the probability of both occurring is
34412,34412,What is standardization in machine learning
34413,34413,What is the difference between a data scientist and a statistician
34414,34414,What is the difference between data and statistics
34415,34415,How is ReLU differentiable
34416,34416,What is the derivative of the ReLU function ReLU z )= max 0 Z for Z 0
34417,34417,What does an interaction effect mean in a two way Anova
34418,34418,What is an interaction effect in an Anova
34419,34419,What is IIR filter and FIR filter
34420,34420,What makes a filter IIR
34421,34421,What is IIR low pass filter
34422,34422,What is normal cumulative distribution function
34423,34423,What is the meaning of cumulative distribution function
34424,34424,How do you do cumulative distribution function
34425,34425,How do you find relative frequency percentage
34426,34426,Is relative frequency a percentage
34427,34427,How do you calculate frequency in statistics
34428,34428,What does the R 2 value mean in statistics
34429,34429,Is Labelled data required for unsupervised learning
34430,34430,Which of the following machine learning algorithms is provided with input as well as output pairs during the learning phase
34431,34431,Is Kruskal Wallis nonparametric
34432,34432,What is local features of an image
34433,34433,What is global features in image processing
34434,34434,What are the features of image
34435,34435,What is high level image processing
34436,34436,What are global features of an image
34437,34437,What is meant by the neural correlates of consciousness
34438,34438,What is a neural correlate of consciousness Chalmers
34439,34439,What is true for neural networks
34440,34440,How neural networks are trained
34441,34441,What type of data is a box plot used for
34442,34442,Can box plot be used for continuous data
34443,34443,Is Box plot a good choice for presenting a categorical variable
34444,34444,How do you know if a Boxplot has a larger standard deviation
34445,34445,What data does a box plot show
34446,34446,Does Boxplot show variance
34447,34447,What are Bloom filters used for
34448,34448,Which are common application of deep learning in AI
34449,34449,Which one comes under deep learning
34450,34450,Which of the following is disadvantage of decision tree
34451,34451,Is decision tree a classification
34452,34452,Are decision trees linear classifiers
34453,34453,How do you calculate hashCode of a string
34454,34454,How is hash value calculated
34455,34455,How do hash values work
34456,34456,How do you know if a correlation is linear
34457,34457,How do you know if a scatter plot is linear
34458,34458,What is a linear model for a scatter plot
34459,34459,How do you tell if a linear model is appropriate for a residual plot
34460,34460,What is the difference between explanatory and exploratory
34461,34461,What is explanatory analysis
34462,34462,What does exploratory analysis mean
34463,34463,Is percentile a measure of location
34464,34464,What does location mean in statistics
34465,34465,What does it mean to find the distribution
34466,34466,What does anomaly detected mean
34467,34467,How do you find the variance of a joint distribution
34468,34468,What does multiple correlation coefficient mean
34469,34469,Why is time a independent variable
34470,34470,What type of variable is time
34471,34471,Is Iqr the same as range
34472,34472,How does Word2vec algorithm work
34473,34473,What is the variance of return
34474,34474,How do you calculate expected return
34475,34475,How do you calculate expected return and variance
34476,34476,How do you calculate portfolio variance return
34477,34477,How is return variance calculated
34478,34478,Is variance good or bad
34479,34479,What is variance in stock
34480,34480,Why is 2SLS biased
34481,34481,What is instrumental variable regression
34482,34482,How do you report the results of descriptive statistics
34483,34483,How do you write a statistical analysis report
34484,34484,Is random forest gradient boosting
34485,34485,Do decision trees use gradient descent
34486,34486,What is another name for a factorial Anova
34487,34487,Which statistical technique is most similar to Manova
34488,34488,Does IID mean normal distribution
34489,34489,What is feature value
34490,34490,What is the difference between feature class and feature dataset
34491,34491,How is AIC BIC calculated
34492,34492,What is SBC in statistics
34493,34493,What does AIC mean in logistic regression
34494,34494,What is AIC and BIC in logistic regression
34495,34495,Where clustering techniques are used
34496,34496,What is normalization in CNN
34497,34497,What is DCT compression
34498,34498,Why DCT is used in image compression
34499,34499,What is DCT and JPEG compression
34500,34500,Is there a real world in the Matrix
34501,34501,Is the matrix inside another Matrix
34502,34502,Is the Matrix a simulation
34503,34503,Did the humans win in the Matrix
34504,34504,How does alpha level relate to probability
34505,34505,How do you find the alpha value
34506,34506,Is Alpha the same as P value
34507,34507,What is P value and Alpha
34508,34508,How do you implement naive Bayes
34509,34509,How does naive Bayes algorithm work example
34510,34510,How can I improve my naive Bayes performance
34511,34511,Is naive Bayes classification a parametric method of classification
34512,34512,Why do we use naive Bayes classifier
34513,34513,Why is naive Bayes bad
34514,34514,What is tag optimization
34515,34515,What is performance matrix in machine learning
34516,34516,What is classification score
34517,34517,How do you measure AI performance
34518,34518,What is shallow learning
34519,34519,What is deep learning as opposed to shallow or short term learning
34520,34520,What is latent in machine learning
34521,34521,How does Standard Deviation relate to normal distribution
34522,34522,What does the standard deviation do to a normal curve
34523,34523,How do you draw a normal distribution curve with mean and standard deviation
34524,34524,Is the normal distribution curve symmetric about the standard deviation
34525,34525,What is H0 and H1 in statistics
34526,34526,What is ho and ha hypothesis
34527,34527,Is null hypothesis H0
34528,34528,What is regression mean
34529,34529,How do you characterize a distribution
34530,34530,How do you explain distribution in statistics
34531,34531,What is an example of distribute
34532,34532,How do you do simple random sampling
34533,34533,Where is simple random sampling used
34534,34534,How do you read a correlation matrix in python
34535,34535,What is a matrix error
34536,34536,What is classification error matrix
34537,34537,Can you convert ordinal data into interval data
34538,34538,Is Likert data ordinal or interval
34539,34539,Can interval and ratio data be treated as nominal or ordinal data
34540,34540,Can Mean be used for interval data
34541,34541,Does negative correlation mean negative covariance
34542,34542,What is the difference between a scatter plot and a residual plot
34543,34543,What are the advantages of independent learning
34544,34544,How do you encourage autonomous learning
34545,34545,How can autonomous learning help students become better learners
34546,34546,What are offline classes
34547,34547,What is batch size and epoch
34548,34548,What is a neural network epoch
34549,34549,What do you mean by epochs while training a neural network
34550,34550,What is sample design with example
34551,34551,What are the types of kernels
34552,34552,What are the different types of kernel
34553,34553,What's the difference between logit and probit
34554,34554,What is probability density statistics
34555,34555,What Makes a probability density function
34556,34556,What are supervised machine learning techniques
34557,34557,What is supervised classification in machine learning
34558,34558,How do you work out sensitivity and specificity
34559,34559,When the distribution is positively skewed mean median mode
34560,34560,How many scores are within 1 standard deviation of the mean
34561,34561,Why is the mean 0 and the standard deviation 1 in a standard normal distribution
34562,34562,What does it mean to be 1 standard deviation away from the mean
34563,34563,What is multitasking explain with example
34564,34564,How would you describe your ability to multitask
34565,34565,What is considered multitasking
34566,34566,How would you describe multitasking skills
34567,34567,How do you answer how do you multitask
34568,34568,How do you evaluate a model in machine learning
34569,34569,What is model evaluation used for
34570,34570,What are machine learning approaches
34571,34571,Is binomial distribution a continuous distribution
34572,34572,Is binomial distribution positively skewed
34573,34573,What type of distribution is Poisson
34574,34574,Is Poisson a continuous distribution
34575,34575,How many degrees of freedom does the F statistic have
34576,34576,How many degrees of freedom are required to check for the significance of the f value for a main effect
34577,34577,What is the degrees of freedom for a two sample t test
34578,34578,What are the degrees of freedom for an independent t test
34579,34579,What is scale in histogram
34580,34580,How do you calculate forecast bias
34581,34581,How do you calculate forecast accuracy
34582,34582,What is forecast accuracy bias
34583,34583,What does bias mean in forecasting
34584,34584,What is MAPE and bias in forecasting
34585,34585,How do you analyze forecast accuracy
34586,34586,What is the difference between the mad and forecast bias
34587,34587,How do you graph a uniform distribution
34588,34588,What are the applications of the probability under the normal curve
34589,34589,What is the purpose of the standard normal distribution table
34590,34590,What is the null hypothesis being tested
34591,34591,What is the null hypothesis for a two sample t test
34592,34592,Why do you reject the null hypothesis
34593,34593,How do you reject the null hypothesis example
34594,34594,How do you convert binomial to normal
34595,34595,What is a sample percentage
34596,34596,Why is it important to study algorithm complexity
34597,34597,What does algorithmic bias mean
34598,34598,What is a bias in AI
34599,34599,What is nonstandard normal distribution
34600,34600,How can you transform a non standard normal distribution to a standard normal distribution
34601,34601,What is the difference between a normal distribution and other symmetrical distributions
34602,34602,What is normal distribution and how is it formed
34603,34603,What is cross validation in decision tree
34604,34604,What are the benefits of non standard units of measurement
34605,34605,What is meant by standard unit
34606,34606,What is classification analysis in data mining
34607,34607,What are the components of NLP in AI
34608,34608,What is meant by joint probability
34609,34609,Is joint probability independent
34610,34610,What does the U and upside down U mean in statistics
34611,34611,What does the U sign mean in statistics
34612,34612,What topics might make up the hidden curriculum
34613,34613,What can students learn from the hidden curriculum
34614,34614,Why is the hidden curriculum important
34615,34615,What are the disadvantages of curriculum
34616,34616,How does hidden curriculum affect students
34617,34617,What are some examples of hidden curriculum
34618,34618,How does hidden curriculum promote inequality
34619,34619,What is hidden implicit curriculum
34620,34620,What is hidden curriculum in education
34621,34621,What is hidden curriculum example
34622,34622,Why we use convolutional neural network
34623,34623,What effect does increasing the sample size have on the sample mean
34624,34624,What happens to power when sample size increases
34625,34625,What does coefficient mean in logistic regression
34626,34626,What is regression coefficient
34627,34627,What is a logit coefficient
34628,34628,What does a negative beta mean in regression
34629,34629,What does a negative coefficient mean in regression
34630,34630,How do I save a model in TensorFlow
34631,34631,What is quantization theory
34632,34632,What is quantization in machine learning
34633,34633,How do you quantize keras model
34634,34634,What is quantization in AI
34635,34635,What is weight quantization
34636,34636,What is the difference between a factor and a covariate
34637,34637,What test specificity means
34638,34638,What is blended learning PDF
34639,34639,What are the different types of blended learning
34640,34640,What is a difference between the T distribution and the standard normal distribution
34641,34641,How do I start deep learning
34642,34642,How do you calculate beta diversity
34643,34643,What does beta diversity mean
34644,34644,How is alpha diversity calculated
34645,34645,Which is better naive Bayes vs Decision Tree
34646,34646,Is Knn a decision tree
34647,34647,How do you conduct a test of independence
34648,34648,How do you determine statistical independence
34649,34649,Can the alternating series test prove divergence
34650,34650,When can you use the test for divergence
34651,34651,What are the conditions of the alternating series test
34652,34652,What is histogram in image processing
34653,34653,What is the difference between contrast stretching and histogram equalization
34654,34654,What is a decision tree classification model
34655,34655,Is Random Forest linear or nonlinear
34656,34656,Is decision tree a data structure
34657,34657,How do you normalize inputs in neural networks
34658,34658,How do you normalize data
34659,34659,What is time series in data science
34660,34660,How do you deal with time series data
34661,34661,How do you convert a time series to a supervised learning problem
34662,34662,What is the use of learning rate
34663,34663,Where AI is used today
34664,34664,What is data skewness
34665,34665,What is meant by skewed data
34666,34666,Why do we use message queue
34667,34667,What is MQ used for
34668,34668,What is Time Series Analysis in Econometrics
34669,34669,How do you find interquartile mean
34670,34670,What is interquartile deviation
34671,34671,What is the difference between J shaped and an S shaped population growth curve
34672,34672,What does S shaped curve indicate
34673,34673,What is a J shaped curve called
34674,34674,What does J shaped relationship mean
34675,34675,What is adversarial perturbation
34676,34676,What is Goldilocks rule of AI
34677,34677,What is adversarial threat
34678,34678,What is adversarial reinforcement learning
34679,34679,How do you calculate probabilities
34680,34680,What is the lexical definition of frequency
34681,34681,What is frequency of use
34682,34682,What is the meaning of frequency range
34683,34683,Where data structure is used in real life
34684,34684,What are the uses of data structure
34685,34685,What is data structure and why we use it
34686,34686,What is probability and statistics
34687,34687,What grade level is statistics
34688,34688,What grade is probability and statistics
34689,34689,What kind of class is statistics
34690,34690,How do you know when to use a geometric distribution
34691,34691,What does geometric random variable mean
34692,34692,What is a geometric random variable and what are its possible values
34693,34693,What is multimodal writing
34694,34694,What are the types of modes
34695,34695,What are different data preprocessing techniques
34696,34696,What is the difference between correlation and cause
34697,34697,Can we do logistic regression in Excel
34698,34698,How do you calculate logistic regression in SPSS
34699,34699,How do I interpret multiple regression in SPSS
34700,34700,Why do we use relative frequency
34701,34701,What is relative frequency approach
34702,34702,What is the main difference between prescriptive and predictive analytics
34703,34703,What is the range of sigmoid
34704,34704,What are features in neural networks
34705,34705,What can neural networks do
34706,34706,What are the different neural networks
34707,34707,Where can I use BFS and DFS
34708,34708,How do you write BFS algorithm
34709,34709,What are the applications of BFS
34710,34710,How are confidence intervals and hypothesis tests related
34711,34711,What is the confidence interval for a two sided test
34712,34712,When can you use confidence intervals for hypothesis testing
34713,34713,When would you use a confidence interval
34714,34714,How does hypothesis testing differ from constructing confidence intervals in general read carefully
34715,34715,What makes confidence intervals more informative than the results of standard hypothesis testing
34716,34716,What additional information does a confidence interval provide
34717,34717,What determines the shape of at distribution
34718,34718,What is active reinforcement learning
34719,34719,What is a proportionate stratified sample
34720,34720,How do you calculate proportionate stratified random sampling
34721,34721,How are association rules mined from large databases
34722,34722,What is the use of reinforcement learning
34723,34723,What are the uses of Student t distribution
34724,34724,What are the advantages of using Z scores
34725,34725,What are the properties of the normal probability distribution
34726,34726,How do you find the frequency IDF cosine similarity
34727,34727,How is the membership function value known in fuzzy logic
34728,34728,What is Defuzzification with example
34729,34729,What is Gaussian membership function
34730,34730,What is fuzzy membership function
34731,34731,How is membership function determined in fuzzy
34732,34732,What is Fuzzification with example
34733,34733,What is meaning of probability density function
34734,34734,What is the difference between density function and distribution function
34735,34735,What does control variable mean in regression
34736,34736,How do you control variables in SPSS
34737,34737,What is the area under the curve of the Z distribution
34738,34738,What is the area under the normal curve to the left of Z
34739,34739,How do you find the area that lies between two z scores
34740,34740,What is the area between the mean and the Z score
34741,34741,How do you find the area under the Z score
34742,34742,What is the area under the normal curve
34743,34743,What is the area under the standard normal distribution
34744,34744,How do you find the area under the standard normal curve to the left of Z
34745,34745,How can you define the area under the normal curve
34746,34746,How do you find the area between two z scores in Excel
34747,34747,How do you find the probability of a random sample
34748,34748,Why is stratified sampling better than quota
34749,34749,How do you increase image classification accuracy
34750,34750,Where can I practice algorithms
34751,34751,What is null hypothesis in research with example
34752,34752,What is difference between acquisition and learning
34753,34753,What is the difference language acquisition and language learning
34754,34754,What is the difference between acquisition and fluency
34755,34755,How many survey responses do I need for statistical significance
34756,34756,What survey response rate is acceptable
34757,34757,How many samples do I need for statistical significance
34758,34758,How many survey responses are statistically significant
34759,34759,How do you find the derivative of fxy
34760,34760,How do you differentiate variables
34761,34761,Is fxy the same as Fyx
34762,34762,What is the derivative of a coefficient
34763,34763,What is the derivative of f/x y
34764,34764,What does fxy mean
34765,34765,What is difference between standard error and standard deviation
34766,34766,Should I use standard deviation or standard error
34767,34767,When should I use standard deviation
34768,34768,Are standard error and standard error of the mean the same
34769,34769,How do you find the center of a sampling distribution
34770,34770,What is the center of the sampling distribution
34771,34771,Are sampling distributions centered over the true population parameter
34772,34772,What is a randomization distribution
34773,34773,What is a bootstrap distribution
34774,34774,What is a uniform random variable
34775,34775,What do you mean by random number
34776,34776,What does NP random random do
34777,34777,What does the mean of a probability distribution represent
34778,34778,How do you find the mean of a probability distribution function
34779,34779,Which statement is a null hypothesis
34780,34780,What is a null hypothesis quizlet
34781,34781,What are scenarios which have higher training accuracy and low test accuracy
34782,34782,How can you improve the accuracy of a test set
34783,34783,What are the assumptions of multiple linear regression
34784,34784,What are the assumptions of classical linear regression model
34785,34785,What are neural networks and what is their role in cognition
34786,34786,What is K mean in texting
34787,34787,Can you find the mean or median of a set of data from a histogram
34788,34788,How do you find the median of a histogram GCSE
34789,34789,What is the median of a histogram
34790,34790,What is a mean vs median
34791,34791,What are the possible outcomes of rolling a six sided dice
34792,34792,How do you calculate possible outcomes
34793,34793,What is the probability to get 6 when a dice is rolled
34794,34794,What happens when variance increases
34795,34795,How do SVM handle the case of non linearly separable data
34796,34796,How can we classification a non linearly separable
34797,34797,What is an agent function in AI
34798,34798,Whats the meaning of fuzzy
34799,34799,What does L2 Norm do
34800,34800,What is L2 norm regularization
34801,34801,What is L1 norm of a vector
34802,34802,What is the norm of a vector
34803,34803,What gamma tells us
34804,34804,How do you read Lambda
34805,34805,How do you find the relationship between two nominal variables
34806,34806,What is K in a logistic differential equation
34807,34807,How do you calculate K in logistics
34808,34808,What happened to AlphaGo
34809,34809,What is systematic sampling PDF
34810,34810,Should we use MSE or MAE to measure error
34811,34811,Why do we use activation function
34812,34812,What is a mixed Anova
34813,34813,What does proportion mean in statistics
34814,34814,What is proportion test in statistics
34815,34815,How do you interpret proportions in statistics
34816,34816,Can you use t distribution for proportions
34817,34817,How do you perform a one sample z test
34818,34818,What is inferential and descriptive statistics
34819,34819,What is the primary focus of descriptive statistics
34820,34820,What are the main descriptive statistics
34821,34821,What is a locative classifier in ASL
34822,34822,What are the classification techniques
34823,34823,What are classification techniques in data mining
34824,34824,What can Boxplot tell us
34825,34825,How do you describe a Boxplot
34826,34826,How does a box plot look
34827,34827,For which sampling process is used
34828,34828,What is a spectral plot
34829,34829,What is frequency spectrum
34830,34830,How do you calculate frequency from bandwidth
34831,34831,Why is logistic regression called regression and not classification
34832,34832,Is logistic regression a classification algorithm
34833,34833,Why is ReLU nonlinear
34834,34834,What is bias data collection
34835,34835,How can you avoid bias in data collection
34836,34836,What is the word entropy mean
34837,34837,Why is entropy S
34838,34838,What is the difference between enthalpy and entropy
34839,34839,Which of the following is are the benefit of an ensemble model
34840,34840,How reinforcement learning is different from machine learning
34841,34841,Is reinforcement learning a subset of machine learning
34842,34842,How do you find the percentage of a standard deviation
34843,34843,What percentage is within one standard deviation
34844,34844,How do you find the percentage of something using mean and standard deviation
34845,34845,How do you find percentile with standard deviation
34846,34846,Which of the following are potential problems with time series analysis
34847,34847,What is the practical application of time series
34848,34848,Is structural equation modeling qualitative
34849,34849,What is the importance of eigenvalues and eigenvectors
34850,34850,Is dimensional analysis a stoichiometry
34851,34851,How do you assess conceptual understanding
34852,34852,What does this symbol mean in statistics
34853,34853,What does PI mean in probability
34854,34854,How do you find pi in statistics
34855,34855,What does the big pi sign mean
34856,34856,What type of activation function is ReLU
34857,34857,What is neural network Wikipedia
34858,34858,What is the error term in linear regression
34859,34859,What is training a data set
34860,34860,What's the difference between a training set and a test set
34861,34861,How do you find the range in statistics
34862,34862,What is Bayes theorem in ML
34863,34863,What is the gradient of a vector field
34864,34864,What does the gradient vector tell us
34865,34865,What does the gradient represent
34866,34866,What do you mean by gradient of a scalar field
34867,34867,How do you calculate a gradient
34868,34868,Is gradient a vector or scalar
34869,34869,Is gradient a row or column vector
34870,34870,What are the uses of learning curve
34871,34871,What are the limitations of learning curve
34872,34872,What is learning curve percentage
34873,34873,What is the difference between denying the antecedent and affirming the consequent
34874,34874,How do you analyze a chi square test
34875,34875,What type of data does chi square use
34876,34876,How does machine learning deal with class imbalance
34877,34877,What is exponential smoothing forecasting method
34878,34878,What is Alpha in forecasting error calculation
34879,34879,How do you calculate alpha beta and gamma in forecasting
34880,34880,How do you find optimal alpha using solver
34881,34881,What is level in exponential smoothing
34882,34882,What is ground truth in image segmentation
34883,34883,Is Knn a linear classifier
34884,34884,What is agent explain different types of agent
34885,34885,What is segmentation in data analysis
34886,34886,How do you get alpha state of mind
34887,34887,What is Alpha level of mind
34888,34888,How do you get into alpha state
34889,34889,What do alpha brain waves indicate
34890,34890,How do you find the critical value in a chi square test
34891,34891,What does a large value for the chi square statistic indicate
34892,34892,What type of measure is standard deviation
34893,34893,Why measure of central tendency and measure of dispersion are complementary to each other
34894,34894,What is the significance of measure of dispersion if we already have measure of central tendency
34895,34895,What measure of central tendency is standard deviation
34896,34896,How do you know which measure of central tendency to use
34897,34897,Does standard deviation use mean or median
34898,34898,What are the different measures of central tendency
34899,34899,What is the difference between measures of central tendency and variation
34900,34900,What do you mean by measures of dispersion how they are different from measures of central tendency
34901,34901,What are the differences between the measures of central tendency and the measures of dispersion
34902,34902,How do you calculate mean square error accuracy
34903,34903,What is the relationship between z score and probability
34904,34904,How is Weka used in data mining
34905,34905,How can we use classification machine learning algorithms in Weka
34906,34906,What type of data is not normally distributed
34907,34907,Is normality and assumption of linear regression
34908,34908,What is normality in linear regression
34909,34909,What are the benefits of random sampling over non random sampling
34910,34910,What is a non linear scatter plot
34911,34911,What type of association does the scatter plot show
34912,34912,How is a scatter plot used to determine if two variable data shows no association
34913,34913,What does a no correlation scatter plot look like
34914,34914,How do you tell if there is a linear relationship on a scatter plot
34915,34915,Does a scatter plot have to be linear
34916,34916,What is learning rate in gradient descent
34917,34917,Is standard deviation affected by skewed data
34918,34918,Which measure of spread is best for skewed data
34919,34919,What remains unaffected when data is skewed
34920,34920,What can skew the mean
34921,34921,What causes high standard deviation
34922,34922,What makes standard deviation larger or smaller
34923,34923,Does Range affect standard deviation
34924,34924,How do you get keras model weights
34925,34925,What are model weights
34926,34926,How does multilingualism affect the brain
34927,34927,How do you do moderation analysis
34928,34928,How do you describe a moderating variable
34929,34929,What does an interaction mean
34930,34930,What is linear regression in simple words
34931,34931,Is SVM a linear model
34932,34932,How does inferencing work
34933,34933,How do you write an inference
34934,34934,How the Random Forest algorithm works in machine learning
34935,34935,What is the difference between moving average and exponential moving average
34936,34936,What's the difference between Ma and EMA
34937,34937,Does Random Forests always performs better than decision trees
34938,34938,Is the P value the same as the critical value
34939,34939,What is the opposite of optimism bias
34940,34940,What is difference between correlated subquery and nested subquery
34941,34941,Which is an example of a correlated subquery
34942,34942,Where is the mean and median
34943,34943,Is mean a measure of location
34944,34944,What is the relation between mean and median
34945,34945,What is intra observer agreement
34946,34946,What is the disadvantage of local search
34947,34947,What are true about local search
34948,34948,Is money a discrete variable
34949,34949,Which is not a discrete variable
34950,34950,Are salaries discrete or continuous data
34951,34951,Is two way Anova parametric or nonparametric
34952,34952,Is Anova a regression analysis
34953,34953,What is local Optimisation
34954,34954,What is global and local optima in an optimization problem
34955,34955,What is local optima and global optimum
34956,34956,How do I get local optimum
34957,34957,What are some strategies to implement active learning
34958,34958,How can you encourage students to be more active
34959,34959,What are some active learning techniques
34960,34960,What are some learning techniques
34961,34961,How do you teach active learning
34962,34962,How do you do multiple correlations on Excel
34963,34963,How do you find correlation in R
34964,34964,How do we calculate correlation
34965,34965,What is the R value in correlation
34966,34966,Is correlation equal to R
34967,34967,How do you find the coefficient of multiple correlations
34968,34968,What does the probability associated with a chi square value indicate about the results of a cross
34969,34969,What does P 0.05 mean in Chi Square
34970,34970,How do you interpret binomial probability
34971,34971,What is a binomial probability experiment
34972,34972,How do you use Anova
34973,34973,What is the Anova procedure
34974,34974,How do you find the critical value for a two tailed test
34975,34975,How do you find the critical value of a test
34976,34976,Why harmonic mean is calculated
34977,34977,What is the product of probability
34978,34978,What is the multiplication rule of probability
34979,34979,Is ridge regression robust to outliers
34980,34980,Is regression sensitive to outliers
34981,34981,What is the difference between linear and logarithmic scale
34982,34982,How do you interpret log scales
34983,34983,What does logarithmic scale mean
34984,34984,What does a logarithmic function look like
34985,34985,What does it mean if something is logarithmic
34986,34986,What are the limitations of descriptive research
34987,34987,What is the purpose of descriptive analysis
34988,34988,How do you summarize data using descriptive statistics
34989,34989,How do you describe summary statistics
34990,34990,How do you summarize Statistical results
34991,34991,What is action in communication
34992,34992,What are the two models of communication
34993,34993,What are algorithms in machine learning
34994,34994,How do you overcome bias in decision making
34995,34995,How do biases affect decision making
34996,34996,How do you find the standard deviation of a comparison distribution
34997,34997,How do you find the standard deviation of the sample means
34998,34998,What is the standard deviation of the sampling distribution of sample means
34999,34999,What is the advantage of regression analysis compared to high low method
35000,35000,Is AI a technology
35001,35001,What are examples of AI technology
35002,35002,Where is AI being used right now
35003,35003,Which test is used to compare the mean of two populations
35004,35004,How do you know if two samples are independent
35005,35005,What is the null hypothesis for t test
35006,35006,What does the null hypothesis say about the difference between two sample means
35007,35007,What is a two sample z test used for
35008,35008,What are the conditions for a two sample z test
35009,35009,What is PI controller used for
35010,35010,What is the difference between PLC and PID
35011,35011,What is P type controller
35012,35012,What is PID controller with example
35013,35013,Why do we use PI controller
35014,35014,How PID controller is implemented in Arduino
35015,35015,What is degree in polynomial regression
35016,35016,What is second order polynomial regression
35017,35017,What is time series forecasting models
35018,35018,How do you describe categorical data
35019,35019,How do you describe variables
35020,35020,Which summary statistic helps describe a categorical variable
35021,35021,How do you know if data is categorical
35022,35022,How do you determine the threshold value in logistic regression
35023,35023,What does an r2 value of 0.05 mean
35024,35024,What is a good coefficient of determination
35025,35025,Is r squared the same as correlation coefficient
35026,35026,What does R 2 mean in correlation
35027,35027,How do you know if a probability is dependent
35028,35028,How do you know if something is dependent or independent
35029,35029,What is the COV X X
35030,35030,Does 0 covariance imply independence
35031,35031,What is standard uncertainty mean
35032,35032,What happens to uncertainty when you divide by 2
35033,35033,What happens to uncertainty when you square root
35034,35034,Why are experimental uncertainties important
35035,35035,What happens to uncertainty as the number of trials increases
35036,35036,Why do we measure uncertainty
35037,35037,What is the difference between Mamdani and Sugeno
35038,35038,What is fuzzy model
35039,35039,What is fuzzy inference
35040,35040,What is the difference between Mamdani and Sugeno in fuzzy logic
35041,35041,What are the application of fuzzy inference system
35042,35042,What does the Apriori analysis of an algorithm assume
35043,35043,Where are neurons located
35044,35044,What is a neuron and where is it found
35045,35045,Which algorithm is most efficient
35046,35046,Which algorithm is best for sorting
35047,35047,What does ROC mean
35048,35048,What does ROC mean in texting
35049,35049,What is ROC in statistics
35050,35050,How do you assess accuracy and precision
35051,35051,How do you find the precision of data
35052,35052,What is continuous time Fourier series
35053,35053,What's the difference between a continuous time Fourier transform and a discrete time Fourier transform
35054,35054,What is an FFT plot
35055,35055,Which type of functions can be expanded as a Fourier series
35056,35056,How do you find the representation of a Fourier series
35057,35057,What do Fourier series coefficients represent
35058,35058,What is the difference between the predictor variable and the criterion variable
35059,35059,What is criterion in statistics
35060,35060,What is a good value for coefficient of variation
35061,35061,What does a coefficient of variation of 1 mean
35062,35062,Can disjoint events be independent
35063,35063,Does disjoint mean independent
35064,35064,Why are mutually exclusive events not independent
35065,35065,Are disjoint events the same as independent events
35066,35066,Are disjoint events dependent
35067,35067,What are the requirements of good control strategy in artificial intelligence
35068,35068,What are the problem characteristics of artificial intelligence
35069,35069,What is the relevance of search and control strategies in problem solving
35070,35070,How do you interpret factor loadings
35071,35071,What do negative factor loadings mean
35072,35072,What is semi structured data with example
35073,35073,What is the difference between relationship and correlation
35074,35074,What is the correlation in statistics
35075,35075,What would be the performance measure in handwriting recognition problem
35076,35076,What are target variables
35077,35077,How do you find the target variable
35078,35078,In which type target variable is continuous value
35079,35079,What are the different forecasting models
35080,35080,What are the different sources of data for forecasting
35081,35081,What is data forecasting
35082,35082,What is a discrete random variable example
35083,35083,How do you calculate discrete e XY
35084,35084,What is a random variable How would you differentiate a discrete from a continuous random variable
35085,35085,Is logistic regression an unsupervised machine learning algorithm
35086,35086,What is the residual in a regression equation
35087,35087,What is the meaning of residuals
35088,35088,What is random forest regression
35089,35089,How do you work out relative frequency GCSE
35090,35090,What are the two basic properties of probabilities
35091,35091,What are the basic terms in probability
35092,35092,How many neurons does AI have
35093,35093,What is neuron in neural network
35094,35094,Why was Ai invented
35095,35095,What is the purpose of artificial intelligence
35096,35096,What caused artificial intelligence
35097,35097,What is sentiment analysis in NLP
35098,35098,Is Sentiment analysis part of NLP
35099,35099,What are classes in a frequency table
35100,35100,What is the class interval on a histogram
35101,35101,Where is dimensionality reduction used
35102,35102,Why is data reduction Important
35103,35103,How data reduction helps in data preprocessing
35104,35104,Why feature reduction is important in machine learning
35105,35105,How can I learn big data
35106,35106,What is an acceptable correlation coefficient
35107,35107,Is a correlation coefficient of 0.6 strong
35108,35108,Which of the following is lexicon used in sentiment analysis
35109,35109,How do you get better at solving algorithms
35110,35110,What is algorithm formula
35111,35111,What does coefficient value mean
35112,35112,How do you find the minimum variance
35113,35113,What is the minimum variance frontier
35114,35114,Why is minimum variance portfolio important
35115,35115,How do you find the minimum variance of a standard deviation portfolio
35116,35116,How is Umvue estimator calculated
35117,35117,Is variance and unbiased estimator
35118,35118,What does it mean when a population is normally distributed
35119,35119,Is Chi square a measure of association
35120,35120,What does the kurtosis value mean
35121,35121,What does the kurtosis of a distribution measure
35122,35122,How do you calculate kurtosis
35123,35123,How do you find the normality of skewness and kurtosis
35124,35124,How do you find the mean of a chi square distribution
35125,35125,What is the mean of chi square distribution with 6 degrees of freedom
35126,35126,What does asymptotic behavior mean
35127,35127,What is asymptotic statistics
35128,35128,What is the meaning of asymptotic analysis
35129,35129,What is the purpose of statistical analysis
35130,35130,What is the importance of statistical analysis in research
35131,35131,What does Standard Deviation tell us about data
35132,35132,How do you interpret standard error of difference
35133,35133,How do I work out relative frequency
35134,35134,What's the difference between frequency and relative frequency
35135,35135,What is the difference between absolute and relative frequency
35136,35136,How are deciles and quartiles related to percentiles
35137,35137,What is quantile
35138,35138,What are different approaches of writing randomized algorithm write randomized sort algorithms
35139,35139,What is evolutionary computing in machine learning
35140,35140,What is training data in machine learning
35141,35141,What is training data and test data in ML
35142,35142,Why do we train and test data
35143,35143,How do you read a distance matrix
35144,35144,How do you visualize multi dimensional data
35145,35145,Which of the following visualization technique can be used for multivariate systems
35146,35146,How do you effectively visualize a data give examples
35147,35147,What does plot () function plots
35148,35148,What is Nesterov momentum
35149,35149,How do you calculate the geometric mean
35150,35150,What is a confounder in statistics
35151,35151,What does confounding factor mean
35152,35152,How do you interpret likelihood
35153,35153,How do you assess the likelihood of risk
35154,35154,What is likelihood and probability of loss in risk
35155,35155,What is the difference between likelihood and impact
35156,35156,What is artificial intelligence and neural networks
35157,35157,Is neural network an AI
35158,35158,What is the difference between artificial intelligence and deep learning
35159,35159,What does a regression line tell us
35160,35160,What do you mean by binomial
35161,35161,What is square of binomial and examples
35162,35162,What is binomial and Monomial
35163,35163,What is the meaning of binomial expression
35164,35164,How do you write a binomial expression
35165,35165,How do you know if an equation is a binomial
35166,35166,What is Eigen value in factor analysis
35167,35167,How do you find eigenvalues from factor loadings
35168,35168,What is a good eigenvalue score
35169,35169,How does Netflix use collaborative filtering
35170,35170,What makes a good representative sample
35171,35171,Why is it important to choose a representative sample of the population quizlet
35172,35172,Why is it important to select a sample that represents the population as closely as possible
35173,35173,What are the different types of hypothesis How does one type differ from another
35174,35174,What are the different types of hypotheses
35175,35175,What does Undercoverage mean in statistics
35176,35176,What is nonresponse in statistics
35177,35177,What do machine learning models do
35178,35178,What is data mining techniques
35179,35179,Which tool is used for data mining
35180,35180,What is data mining PDF
35181,35181,What is XBAR
35182,35182,What does Y represent in regression
35183,35183,What is the meaning of artificial intelligence in computer
35184,35184,What is AI used in today
35185,35185,How can you reduce Overfitting of a Random Forest model
35186,35186,Do random forests Overfit
35187,35187,What is the difference between random and nonrandom sampling
35188,35188,What is probability and non probability sampling methods
35189,35189,What is probabilistic sampling method
35190,35190,What is a residual and how is it calculated
35191,35191,What do we use residuals for
35192,35192,What is hashing in computing
35193,35193,What is meant by hashing in data structure
35194,35194,How do you find the optimal value of k in Knn
35195,35195,Which of the following value of K in K NN would minimize the leave one out cross validation accuracy
35196,35196,How does the value of k affect the overall fit of the model in KNN algorithm
35197,35197,What is agent artificial intelligence
35198,35198,What are types of agents
35199,35199,What is the meaning of population in statistics
35200,35200,What is population and sample in math
35201,35201,What is population in data
35202,35202,What is population in data analysis
35203,35203,What is the difference between sampling and non sampling error
35204,35204,What is the difference between a sampling error and a non sampling error give examples of both types of errors
35205,35205,What is difference between sampling and non sampling errors
35206,35206,What are sampling errors Class 11
35207,35207,What is sampling and non sampling error
35208,35208,What is Alpha in confidence level
35209,35209,How do you find the alpha value in statistics
35210,35210,What is alpha value and p value
35211,35211,How do you calculate alpha in statistics
35212,35212,How do you find beta in statistics
35213,35213,What is β in statistics
35214,35214,What is data structure and different types of data structure
35215,35215,What is data structure and explain
35216,35216,What does it mean when something diverges
35217,35217,What does it mean if a geometric series diverges
35218,35218,Is Cox regression Parametric
35219,35219,What is Weibull regression
35220,35220,What is a semi parametric EQ
35221,35221,Why is scaling important before clustering
35222,35222,Is scaling is an important step before applying k mean algorithm
35223,35223,What is the variance of a constant
35224,35224,How do you find the expected value of a continuous random variable
35225,35225,How do you find the mode of a continuous probability distribution
35226,35226,What can I do with reinforcement learning
35227,35227,How are moving averages calculated
35228,35228,What does Generalisation mean
35229,35229,What is generalization in a story
35230,35230,How does an image classifier work
35231,35231,How can image classification improve accuracy
35232,35232,How can neural networks help you perform analytical tasks
35233,35233,How neural networks provide solutions to real world problems and complex problems
35234,35234,What kind of problems can machine learning solve
35235,35235,Where can I learn about AI
35236,35236,How big should my neural network be
35237,35237,What is the difference between data mining and data profiling
35238,35238,What is bagging in statistics
35239,35239,What is bagging technique class 12
35240,35240,What's the difference between boosting and bagging
35241,35241,What are coefficients in a regression
35242,35242,What is a regression coefficient in multiple regression
35243,35243,What do you mean by regression equation
35244,35244,How do you calculate regression equation
35245,35245,What does r2 mean in regression analysis
35246,35246,What are coefficients in regression analysis
35247,35247,What are the types of inferential statistics
35248,35248,What are the 2 main branches of statistics
35249,35249,What are the two major areas of statistics define and give one example each
35250,35250,Where is confusion matrix used
35251,35251,What is the confirmation bias quizlet
35252,35252,What is confirmation bias and which type of reasoning does it affect
35253,35253,How do you calculate Bin value
35254,35254,What is a bin in statistics
35255,35255,What is Bin value histogram
35256,35256,What are the two main types of supervised learning and explain
35257,35257,What do you mean by pseudo random number generation explain
35258,35258,How do you find the median of a data set
35259,35259,How do you pass a string value from one ViewController to another view controller
35260,35260,How do you pass a string value from one ViewController to another view controller in Swift
35261,35261,How do you pass a string value from one Viewcontroller to another view controller in Swift
35262,35262,How do you find discrete probability
35263,35263,What is discrete random variable in probability
35264,35264,What is variance of a discrete random variable
35265,35265,How do you find the variance of discrete data
35266,35266,What does it mean when a variable is discrete
35267,35267,What is the mean of discrete probability distribution
35268,35268,What does the mean of a probability distribution tell us how do you interpret the mean of a probability distribution
35269,35269,How do you know if your data is parametric or non parametric
35270,35270,What is linear activation
35271,35271,Why is scaling important in clustering
35272,35272,What is scalability in clustering
35273,35273,What does it mean if there is a positive correlation
35274,35274,What is the difference between a positive and negative linear correlation
35275,35275,How can you tell if a relationship is linear
35276,35276,How do you write relationships between X and Y
35277,35277,Are chi square values normally distributed
35278,35278,Which of the following properties describe the chi square distribution Mcq
35279,35279,How many degrees of freedom does the chi square distribution have
35280,35280,What is the moment of a distribution
35281,35281,What is moment of a random variable
35282,35282,What is batch processing of data
35283,35283,What is batch processing and examples
35284,35284,What is batch processing in ETL
35285,35285,How many types are available in Ann learning
35286,35286,What are the features of artificial neural network
35287,35287,How does an artificial neural network work
35288,35288,What is exponential distribution in statistics
35289,35289,What is the PDF of a Poisson distribution
35290,35290,What is normal PDF
35291,35291,How do you know if a PDF is normally distributed
35292,35292,How can variables be controlled
35293,35293,How do you find the correlation coefficient between two stocks
35294,35294,How is correlation defined
35295,35295,How do you calculate factorials quickly
35296,35296,Why is random assignment important for cause and effect
35297,35297,Why is it important for researchers to randomize the order
35298,35298,Why are participants randomly allocated
35299,35299,How do you randomize study participants
35300,35300,What is the method used in randomization
35301,35301,What is the main purpose of randomisation
35302,35302,Why is it important to use random assignment when determining which research participants
35303,35303,How do you find cosine similarity in R
35304,35304,What is interval scale measurement
35305,35305,How do you evaluate LDA
35306,35306,How do you evaluate a topic
35307,35307,What is learning rate in boosting
35308,35308,What is learning rate in random forest
35309,35309,What is a discrete distribution in statistics
35310,35310,Can discrete data be normally distributed
35311,35311,What does it mean for a random variable to be normally distributed
35312,35312,How do you know if a random variable is normally distributed
35313,35313,Are random samples normally distributed
35314,35314,What is the difference between normal PDF and normal CDF
35315,35315,What is the CDF of a normal distribution
35316,35316,What is the PDF of geometric distribution
35317,35317,How does selection bias affect internal validity
35318,35318,How does bias reduce the validity of the study
35319,35319,What is the independent variable in regression analysis
35320,35320,What is the purpose of an independent variable
35321,35321,What is the purpose of independent and dependent variables
35322,35322,Which is the independent variable
35323,35323,How can you tell if a variable is independent or dependent
35324,35324,Where is the dependent variable found
35325,35325,What is the purpose of confidence intervals
35326,35326,What Artificial Intelligence Cannot do
35327,35327,What is deep learning what can deep learning do that traditional machine learning methods Cannot
35328,35328,How is traditional machine learning different from deep learning
35329,35329,How do you calculate the normal range
35330,35330,What is range example
35331,35331,Does range mean distance
35332,35332,What is difference between accuracy and error
35333,35333,What is the difference of accuracy and precision
35334,35334,Why is it important to check for accuracy
35335,35335,What is Arch in time series
35336,35336,What do you mean by eigenfunction and eigenvalue
35337,35337,What is Eigen state
35338,35338,What is the meaning of eigenvalue
35339,35339,How do you find eigenvalues and eigenvectors of an operator
35340,35340,How do you calculate eigen value
35341,35341,What is the true regression line
35342,35342,What is an estimator in regression
35343,35343,What is the difference between a sample regression line and population regression line
35344,35344,What is a fitted regression line
35345,35345,Why is the median not affected by outliers
35346,35346,Is the mean median or mode most sensitive to the presence of outliers
35347,35347,Why is accuracy more important than precision
35348,35348,Is homogeneity of variance good
35349,35349,What is meant by homogeneity of variance
35350,35350,Why do we test for homogeneity of variance
35351,35351,What do eigenvalues represent in PCA
35352,35352,What is eigenvalue in control system
35353,35353,What is the relation between mean deviation and standard deviation
35354,35354,How do you find standard deviation with just the mean
35355,35355,Is standard deviation a function of the mean
35356,35356,Is weighted average the same as average
35357,35357,How do you interpret principal components
35358,35358,Is the correlation matrix suitable for a principal component analysis
35359,35359,How do you find the principal component of a correlation matrix
35360,35360,How can you see an association between two categorical variables
35361,35361,What does it mean for two categorical variables to have an association
35362,35362,Which test is used to identify whether there is a relationship between two categorical variables
35363,35363,How do you describe the association between two variables