dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Introduction to Generative AI
Modules:
Introduction, Generative Space, Joint Probability for Generative Models, Sampling from a Joint Probability Distribution, Conditional Probability for Generative Models, The Chain Rule of Probabilities, 1D Example: Generative vs. Discriminative Models, 1D Example: Sampling, 2D Example: Generative vs. Discriminative Models
Motivation of Studying GAN, Distributions, Drawing Pins, GAN Architecture, Autoencoder, Generative "Comparative" Network, Generative "Adversarial" Network, Visualizing GAN Loss, Calculating GAN Loss
Language Model, Auto-Regressive Model, Encoder-Decoder RNN, Attention, Cross-Attention, Self-Attention, Embeddings, Positional Encoding, Output Probabilities, Encoder, Decoder, Pre-training vs. Supervised Fine-Tuning, Reinforcement Learning with Human Feedback
Smurfs, Pixel-based Image Model, Autoregressive Image Model, Training an Autoregressive Image Model, Impact
Course: Smarter Content Creation with Microsoft Copilot
Modules:
Welcome to the Course, Generating SEO & SEM Content at Scale with Microsoft Copilot, Creating Personalized Email, Support and PR Scripts With Microsoft Copilot, Generating Images for your Email, Landing Pages, and Website, Generating Images for Organic Social, Creating Images for Your Ads, Setting your Brand Voice in Microsoft Copilot, Analyze and Grade Content With Microsoft Copilot, Generate Improved Versions for Each Piece of Content You Want to Optimize
The Power of Ideas in Content Creation, Implementing a Brainstorming Framework with GenAI, When Should You Refine Your Ideas?, Steps to Optimize Your Idea Refinement with GenAI, Setting the Right Criteria for Refinement with GenAI, Generate your Content Calendar Outlines with GenAI, Possible Content Calendar Features with GenAI, Incorporating A/B Testing in Your Content Calendar
Create a Content Framework for Different Content Types, Use Microsoft Copilot to Generate Compelling and Attention-Grabbing Titles, Structure Your Copywriting to Incorporate Your Brand's Voice, Leveraging Content Performance Data with Microsoft Copilot, Analyze and Generate Insights from Your Marketing Performance Data, Incorporate Content Performance Data with Microsoft Copilot, Generate High Performing Paid Search Ads with Microsoft Copilot, Generate High Performing Social Ads with Microsoft Copilot, Generate High Performing SEO Content with Microsoft Copilot
Congratulations and Course Completion
Course: Executing the Iteration & PI with SAFe
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, Introduction to Visualizing Work in SAFe, Identifing Value Stream Maps, What you will learn in this lesson, Metrics and Key Performance Indicators (KPIs) for Work Flow, Analyzing Flow Metrics and Identifying Areas for Improvement, Using Data to Drive Fact-Based Decision Making
What you will learn in this lesson, Embedding Quality Practices in Every Step of the Iteration, Test-Driven Development and Collaborative Quality Assurance, Quality Enablers for Continuous Improvement, What you will learn in this lesson, Principles of Continuous Integration and Deployment, Automating Deployment and Release Processes, Successful Release Management Strategies in SAFe
What you will learn in this lesson, Synchronization Techniques to Minimize Dependencies, Real-world Case Study: Effective Communication in SAFe, What you will learn in this lesson, Techniques for Demonstrating Incremental Value, Facilitating Effective Iteration and PI Retrospectives, Nurturing a Culture of Continuous Improvement, Becoming a Certified SAFe Professional
Course: Calculus through Data & Modeling: Precalculus Review
Modules:
Exponential Functions, Logarithmic Functions, The Natural Logarithm, Properties of Logarithms
Sine and Cosine, Tangent, Cotangent, Secant, and Cosecant, (Some) Trig Identities, (Some More) Trig Identities
Introduction to Vectors, Dot Product and Cross Product
Equations of Lines in Space, Equations of Planes in Space
Precalculus Review Final Exam
Course: Model Diagnostics and Remedial Measures
Modules:
Instructor Welcome and Course Overview, Module 1 Introduction, Regression Diagnostics Part 1, Regression Diagnostics Part 2, Regression Diagnostics Part 3, Variance-Stabilizing Transformation Part 1, Variance-Stabilizing Transformation Part 2, Box-Cox Transformation, Transformations to Linearize the Model
Module 2 Introduction Video, Weighted Least Squares Part 1, Weighted Least Squares Part 2, Autocorrelation Part 1, Autocorrelation Part 2, Autocorrelation Part 3, Multicollinearity Part 1, Multicollinearity Part 2, Multicollinearity Part 3, Video Selection and Model Validation Part 1, Video Selection and Model Validation Part 2, Video Selection and Model Validation Part 3
Summative Course Assessment
Course: Introduction to Microsoft Azure Synapse Analytics
Modules:
Introduction to the course, What is Azure Synapse Analytics?, How Azure Synapse Analytics works, When to use Azure Synapse Analytics
Create Azure Synapse Analytics workspace, Describe Azure Synapse Analytics SQL, Explain Apache Spark in Azure Synapse Analytics, Orchestrate data integration with Azure Synapse pipelines, Module summary
Use Azure Synapse Studio, Understand the Azure Synapse Analytical processes, Module summary
Describe a modern data warehouse, Define a modern data warehouse architecture, Understand data storage for a modern data warehouse, Understand file formats and structure for a modern data warehouse, Module summary
Course 4 recap, Course summary
Course: Auditing II: The Practice of Auditing
Modules:
Course Overview, About Prof Peecher, Learn on Your Terms
Module 1 Introduction, Strategic Systems Auditing (SSA) Part 1, Strategic Systems Auditing (SSA) Part 2, Strategic Systems Auditing (SSA) Part 3, Strategic Systems Auditing (SSA) Part 4, Strategic Analysis (SA) and Strategic Business Risks (SBRs) Part 1, Strategic Analysis (SA) and Strategic Business Risks (SBRs) Part 2, Strategic Analysis (SA) and Strategic Business Risks (SBRs) Part 3, Strategic Analysis (SA) and Strategic Business Risks (SBRs) Part 4, Business Process Analysis (PA) Part 1, Business Process Analysis (PA) Part 2, Business Process Analysis (PA) Part 3, Strategic Analysis Summary
Module 2 Introduction, Audit Evidence & Triangulation, WorldCom Example Part 1, WorldCom Example Part 2, WorldCom Example Part 3, WorldCom Example 2 Part 1, WorldCom Example 2 Part 2, WorldCom Triangulation Example Part 1, WorldCom Triangulation Example Part 2, WorldCom Triangulation Example Part 3
Module 3 Introduction, Internal Control Evaluation Part 1, Internal Control Evaluation Part 2, Internal Control Evaluation Part 3, Internal Control Deficiencies Part 1, Internal Control Deficiencies Part 2
Module 4 Introduction, Inventory Part 1, Inventory Part 2, Inventory Part 3, Inventory Part 4, Inventory - What Could Go Wrong? Part 1, Inventory - What Could Go Wrong? Part 2
Module 5 Introduction, Attribute Sampling: Major Phases of an Audit Part 1, Attribute Sampling: Major Phases of an Audit Part 2, Attribute Sampling: Important Factors in Determining Sample Size Part 1, Attribute Sampling: Important Factors in Determining Sample Size Part 2, Attribute Sampling: Tolerable Error, Attribute Sampling: Test of Controls Part 1, Attribute Sampling: Test of Controls Part 2
Module 6 Introduction, Unit Sampling Part 1, Unit Sampling Part 2, Unit Sampling Part 3, Unit Sampling Example 1, Unit Sampling - Sample Selection Part 1, Unit Sampling - Sample Selection Part 2, Unit Sampling Example 2
Module 7 Introduction, Wise Thinking Part 1, Wise Thinking Part 2, Wise Thinking Part 3, BPS (2018) - Methods, BPS (2018) Manipulations I, BPS (2018) - Manipulations II, Results Part 1, Results Part 2, Risk Based Auditing & Fraud: Hammersley and Bowlin Studies Part 1, Risk Based Auditing & Fraud: Hammersley and Bowlin Studies Part 2, Risk Based Auditing & Fraud: HZ Study
Module 8 Introduction, Completing the Audit, Audit Results and Differences Part 1, Audit Results and Differences Part 2, Communicating Audit Results
Course: The Persuasive Leader
Modules:
Introduction the The Persuasive Leader, Introduction to Module 1 Agile Leadership, Lecture 1 A Preliminary Definition of Agile Leadership, Lecture 2 Antecedents of Adaptive and Team Leadership, Lecture 3 Adaptive Leadership, Lecture 4 Team Leadership, Lecture 1 The Need for Agile Leadership, Lecture 1 The Agile Leader
Introduction to Module 2 What is Persuasive Leadership?, Lecture 1 Persuasion vs Coercion, Lecture 2 Conger's Definition, Lecture 1 Conversation, Lecture 2 Questions as the Basis of Persuasive Conversation, Lecture 1 Types of Conversation, Lecture 2 Three Kinds of Networks, Lecture 3 Four Core Tactics, Lecture 1 Elements of Persuasion, Lecture 1 Principles of Persuasion
Introduction to Module 3 Why Persuasive Leadership?, Lecture 1 Persuasion vs Other Types of Influence, Lecture 2 Benefits of Persuasion, Lecture 1 Preparatory Benefits to the Organization, Lecture 2 Developmental Benefits to the Organization, Lecture 3 Benefits to the Organization Upon Execution of the Plan, Lecture 1 Preparatory Benefits to the Team Members, Lecture 2 Developmental Benefits to the Team Members, Lecture 3 Benefits to the Team Members Upon Execution of the Plan, Lecture 1 Preparatory Benefits to the Leader, Lecture 2 Developmental Benefits to the Leader, Lecture 3 Benefits to the Leader Upon Execution of the Plan
Introduction to Module 4, Lecture 1 Greek Wisdom: Three Imperatives, Lecture 1 Prepare the Team: Six Items on the Checklist, Lecture 1 Prepare the Conversation, Lecture 2 The Trust Conversation, Lecture 3 The Fear Conversation, Lecture 4 The Why Conversation, Lecture 5 The Commitment Conversation, Lecture 6 The Accountability Conversation, Lecture 1 Start Slowly, Lecture 2 Manage Mood, Lecture 3 Nudge, Connect, Promote, Lecture 1 Satisficing Redux, Lecture 2 Improve Delivery, Congratulations!
Course: Select Topics in Python: Natural Language Processing
Modules:
Navigating Codio Assignments, How to Reset an Assignment in Codio, Getting Started (optional download), Pre-Processing Text (optional download), Parsing Text (optional download), Analyzing Text (optional download)
Navigating Codio Assignments, How to Reset an Assignment in Codio, Word Frequency Analysis: Bag of Words (optional download), Term Frequency-Inverse Document Frequency (optional download), Text Similarity Metrics (optional download), Pre-Trained Language Models (optional download)
Navigating Codio Assignments, How to Reset an Assignment in Codio, The Simple Bot (optional download), The API Bot (optional download), Pretrained Model (optional download)
Course: Encoder-Decoder Architecture
Modules:
Encoder-Decoder Architecture: Overview, Encoder-Decoder Architecture: Lab Walkthrough
Course: Build Your First Android App (Project-Centered Course)
Modules:
Overview of the Course
Some components of the graphical user interface, Layout: organize the views on your screens, Add actions
Create your first basic application with Android Studio
Create an interactive application
Block 1 Step-by-Step: part 1, Block 1 Step-by-Step: part 2, Block 1 Step-by-Step: part 3, Block 2 Step-by-Step, Block 3 Step-by-Step, Block 4 Step-by-Step, Block 5 Step-by-Step
Block 6 Step-by-Step, Block 7 Step-by-Step, Block 8 Step-by-Step, Block 9 Step-by-Step
Course: Amazon Braket Getting Started
Modules:
Amazon Braket Getting Started
Course: Docker for Beginners with Hands-on labs
Modules:
Introduction, Docker Overview, Getting started with Docker, Demo - Setup and Install Docker
Basic Docker Commands, Demo - Docker Commands
Docker Run, Demo - Advanced Docker Run Features
Docker Images, Demo - Creating a new Docker Image, Environment Variables, Commands vs Entrypoint
Docker Compose, Docker Compose-Demo-1-Voting-app, Docker Compose-Demo-2-Voting-app, Demo - Docker Compose
Docker Engine, Docker Storage
Docker Networking, Docker Registry
Docker on Windows, Docker on Mac
Container Orchestration, Docker Swarm, Kubernetes Introduction
Introduction to YAML, Conculsion
Course: Strategies for Audience Growth and Promoting Music Brands
Modules:
Welcome to Strategies for Audience Building, Understanding Audience Engagement, Elements of Audience Engagement, How three-time GRAMMY® winner Victoria Monét Connects with Her Audience, Leveraging Audience Feedback and Involvement, Authentic Communication with Audiences, Handling Negative Feedback
Platform Strategy, Part 1: Digital (STREAMING) Platforms, Part 2: Digital Platforms: Social Media Platforms, Part 3: Digital Press, Non-Digital Platforms, Creating a Sustainable Presence, 10-time GRAMMY® nominee Janelle Monáe Explores Connecting Digitally and In-Person, Crafting a Content Calendar
Being Current, Three-time GRAMMY® winner Victoria Monét Considers the Importance of Social Trends, Self-Care During Growth
Revising Goals and Creating Key Performance Indicators, Measuring Success and ROI, Platform Insights and Data Collection, Budget Decisions, Pre-Rollout Plan, Preparing Your Marketing Strategy Plan, What's Next
Course: Oracle Database Platform
Modules:
Oracle Database Platform Course Introduction, Oracle Database Platform: Course Goals
Large Datasets, Database Path & Purpose, Database Roles, Oracle Database Admin Tools, Oracle Net Architecture
GUI Tools: SQL Developer, SQL Developer: Oracle Connections, SQL Developer: Indexes, Packages, and Procedures, SQL Developer: Functions and Operators, SQL Developer: Queues and Queues Tables, SQL Developer: Triggers and Types, SQL Developer: Sequences, Materialized Views, and Materialized View Logs, SQL Developer: Synonyms, Public Synonyms, Database Links, and Public Database Links, SQL Developer: Directories, Editions, Java, & XML, SQL Developer: OLAP, Analytic Views, & Scheduler, SQL Developer: RDF Semantic Graph, SQL Developer: Table Details - Column Info., SQL Developer Demo: Table Details, Demo: SQL Developer - Create Table, Demo: SQL Developer - Using SQL DDL Syntax
Course: UX Design: From Concept to Prototype
Modules:
Lesson 1: What Is Design?, Lesson 2: Design Process - An Overview, Lesson 3: Framing Design Problems, Lesson 4: Formative Research
Lesson 1: Introduction to Ideation, Lesson 2: Sketching, Lesson 3: Brainstorming
Lesson 1: Personas, Lesson 2: Scenarios, Lesson 3: Storyboards, Lesson 4: Design Rationale
Lesson 1: Lesson Introduction, Lesson 2: Elements of User Interaction: Data Input, Lesson 3: Elements of User Interaction: Output, State, and Mode, Lesson 4: Introduction to Prototyping
Lesson 1: Wireframes, Lesson 2: Low-Fidelity Interactive Prototypes, Lesson 3: Testing Lo-Fi Prototypes, Lesson 4: Adding Realism to Prototypes
Lesson 1: Key Design Concepts, Lesson 2: Defaults, Lesson 3: Reflective Design, Lesson 4: New Directions in UX Design, Course Wrap-Up
Course: Brand Awareness Using Digital Brand Activation
Modules:
Introduction to the Course and Instructor
Divergent Paths: Brand Identities in the Digital Market, Crafting Brand Identity: Logos, Messaging, and Tone
Digital Brand Activation Strategies: Engaging Audiences for Impact, Target Audience Engagement
Strategic Social Media Platform Selection for Targeted Engagement, Unlocking Social Media Analytics and Maximizing Engagement
Course: Launch Strategy: 5 Steps to Capstone Experience
Modules:
Command Center, Revisiting Strategy, Directing Vision, Mission Remarkable, Gearing Up To Score
It's Not Gambling, But There Are Risks, Effect Your Logic, What's Your Stake - Part 2, What's Your Stake - Part 3, What's Your Stake - Part 4
Who Can Stake You - Part One?, Who Can Stake You - Part Two?, Who Can Stake You - Part Three
What Game To Play?, Designing For Breakthrough, Type Cast Your Business
Actions Speak Louder, Spreadsheet Tour - Part 1, Spreadsheet Tour - Part 2, Spreadsheet Tour - Part 3, Spreadsheet Tour - Part 4, Show Yourself the Money, Where Truth Lives, COGS of Success, Costs to Be The Boss
The Essence of Business Essentials, Points of Distinction - Part 1, Points of Distinction - Part 2, It Takes A Village - Part 1, It Takes a Village - Part 2, Tools of Engagement: Mar-ke-Tcccs - Part 1, Tools of Engagement: Mar-ke-Tcccs - Part 2, Tools of Engagement: Mar-ke-Tcccs - Part 3, Tools of Engagement: Mar-ke-Tcccs - Part 4, The Anthem: ABC
Launch Plan
Course: Introduction to Creative Thinking: Tools for Success
Modules:
Introduction, Mother and Father of Innovation, Creative Environments, Survey feedback, Creativity Diamond Framework, Interview with Jeff Maggioncalda, CEO of Coursera
Interview on creativity – Ruby Steel – Designer and Big Life Fixer, Interview on creativity – Will Butler Adams, CEO Brompton, Levels of Creativity, Ranking big C creative ideas from the 20th Century Feedback, Ranking creatives from the 20th Century Feedback
Ideas, The Brain and mind, Thoughts and memory, Creativity tools, Brainstorming
Different Types of Brainstorming
Overview of Various Types of Brainstorming, Self-Marking - Grid Brainstorming, Self-Marking - Try Alphabet Brainstorming!, The Creativity Diamond Framework
Interview on creativity – Dan Garrett, CEO Farewill, Interview on creativity – Shafina Vohra – Lego specialist views on creativity, 5 Ps of creativity, Creativity diamond framework, Some Top Tips on Creativity
Course: Integrating AWS with the SDK
Modules:
Course Introduction, Week 1 Introduction, What is AWS?, Discussion: AWS for Software Engineers, Starting Simple with Amazon S3, Introduction to AWS SDK for Python Boto, Authentication and Authorization with IAM, IAM Roles and working with access keys, Setting up a Developer Environment, AWS Cloud9 and credentials, Week 1 Wrap Up
Week 2 Introduction, S3 for Object Storage, S3: Access control and Security, Amazon S3 replication, encryption, and versioning, Demo - S3 for Application Storage, DynamoDB for NoSQL Table Storage, DynamoDB Creating and Querying Items, Week 2 Wrap Up
Week 3 Introduction, AWS Lambda for Compute, Demo: Moving to Lambda, Amazon EC2 for Compute, Amazon API Gateway for API Hosting, Demo: Moving to API Gateway, Discussion: Troubleshooting an API Application, Introduction to Amazon CodeWhisperer, Security scanning with Amazon CodeWhisperer, Week 3 Wrap Up, Course Closing
Course: Cluster Analysis in Data Mining
Modules:
Course Introduction
1.1. What is Cluster Analysis, 1.2. Applications of Cluster Analysis, 1.3 Requirements and Challenges, 1.4 A Multi-Dimensional Categorization, 1.5 An Overview of Typical Clustering Methodologies, 1.6 An Overview of Clustering Different Types of Data, 1.7 An Overview of User Insights and Clustering, 2.1 Basic Concepts: Measuring Similarity between Objects, 2.2 Distance on Numeric Data Minkowski Distance, 2.3 Proximity Measure for Symetric vs Asymmetric Binary Variables, 2.4 Distance between Categorical Attributes Ordinal Attributes and Mixed Types, 2.5 Proximity Measure between Two Vectors Cosine Similarity, 2.6 Correlation Measures between Two variables Covariance and Correlation Coefficient
3.1 Partitioning-Based Clustering Methods, 3.2 K-Means Clustering Method, 3.3 Initialization of K-Means Clustering, 3.4 The K-Medoids Clustering Method, 3.5 The K-Medians and K-Modes Clustering Methods, 3.6 Kernel K-Means Clustering, 4.1 Hierarchical Clustering Methods, 4.2 Agglomerative Clustering Algorithms, 4.3 Divisive Clustering Algorithms, 4.4 Extensions to Hierarchical Clustering, 4.5 BIRCH: A Micro-Clustering-Based Approach, ClusterEnG Overview, ClusterEnG: K-Means and K-Medoids, ClusterEnG Application: AGNES, ClusterEnG Application: DBSCAN
4.6 CURE: Clustering Using Well-Scattered Representatives, 4.7 CHAMELEON: Graph Partitioning on the KNN Graph of the Data, 4.8 Probabilistic Hierarchical Clustering, 5.1 Density-Based and Grid-Based Clustering Methods, 5.2 DBSCAN: A Density-Based Clustering Algorithm, 5.3 OPTICS: Ordering Points To Identify Clustering Structure, 5.4 Grid-Based Clustering Methods, 5.5 STING: A Statistical Information Grid Approach, 5.6 CLIQUE: Grid-Based Subspace Clustering
6.1 Methods for Clustering Validation, 6.2 Clustering Evaluation Measuring Clustering Quality, 6.3 Constraint-Based Clustering, 6.4 External Measures 1: Matching-Based Measures, 6.5 External Measure 2: Entropy-Based Measures, 6.6 External Measure 3: Pairwise Measures, 6.7 Internal Measures for Clustering Validation, 6.8 Relative Measures, 6.9 Cluster Stability, 6.10 Clustering Tendency
Final Reflections
Course: Conocimiento:Una herramienta para la ingeniería y la gestión
Modules:
Bienvenida al curso
¿Inteligencia / Conocimiento?, Modelo, Conocimiento, Conocimiento experto, Capacidad de análisis, Conocimiento social: cultura, Iceberg intercultural, Cultura: puntos de vista, Costumbres, Sentido común, Habilidad cultural, Conocimiento del cuerpo, Cuerpos que hacen, Cuerpos que hablan, Relación de los tres tipos de conocimiento
Objetos de la realidad, Relaciones entre objetos, Construcción del modelo, Características, Paradigmas, Construir - romper paradigmas, Identidad
Zona de desarrollo próxima, ¿Dónde mediar?, ¿Con qué mediamos?, El entorno mediador, Creatividad, Innovación, Histórico cultural, Construcción sobre el conocimiento, Puntos de vista, Miradas que no pueden ver, Intolerancia
Modelo, Retroalimentación, Error, Errores de input, Errores en la elaboración, Errores de output
Puente de plata, Perspectiva - empatía, El mensaje, Cambio de significado, El relato, Sticky message (mensaje que queda)
Decisiones como búsqueda, Recorriendo árboles, Decisiones como búsqueda, Búsqueda a lo ancho y en profundidad, A*: algoritmo general de búsqueda, g: la historia, h': expectativas, f': cualitativo, Restricciones, Razonamiento inductivo - deductivo
Hoyos negros, No monotónico, Completitud, Consistencia, Herramientas para romper la ambigüedad, Decisiones erróneas clásicas: completitud, Decisiones erróneas clásicas: consistencia
Predisposición, Codificación y contextualización, Transferencia y evaluación, Ejemplo, ¿Existe un entender?, Dominio cognitivo, Pensamiento crítico, Dominio procedural y estético, Temporalidad del entendimiento
¿Dónde esta el conocimento?, Investigación cualitativa, Métodos de análisis, Entrevistas / cuestionarios, Otras técnicas
Video de cierre
Course: Power BI & Power Virtual Agents
Modules:
What is Power BI?, Power BI concepts, Power BI Reports and Dashboards, Data modeling and visualizations, Clean data, Work with Aggregates, Security and administration in Power BI, Introduction and Connect to data, Visualize data, Build a dashboard and collaborate and share, How to build a simple dashboard module summary
Introduction & what is Power Virtual Agents?, Entities, actions and publishing, Introduction & create a chatbot, Create and work with topics, Ending Branching and testing, Publish and Analyze a chatbot, Build a basic chatbot module summary
Course: Generative AI: Elevate your Data Engineering Career
Modules:
Course Introduction, Generative AI for Data Engineering, How Data Engineers Leverage the Power of Generative AI, Examples of Generative AI in Data Engineering, Designing Future-Ready Data Architectures with Generative AI, Automating Schema Design with Generative AI, Demo: Generative AI for Data Generation and Augmentation, Demo: Generative AI for Infrastructure Setup, Successful Implementations of Generative AI for Data Design
Demo: Generative AI for Data Pipelines and ETL Workflows, Demo: Generative AI for Data Repository Maintenance and Administration, Demo: Generative AI for Querying Databases, Demo: Generative AI for Data Mining and Analysis, Generative AI for Data Lakehouse, Successful Implementations of Generative AI for ETL and Data Repositories, Considerations While Using Generative AI in Industries, Challenges While Using Generative AI
Enhancing Your Data Engineer Career with Generative AI
Course: Vieses Inconscientes e Comportamentos
Modules:
O Que é Viés Inconsciente, Os Tipos de Vieses Inconscientes, Os Estereótipos de Gênero, As Ameaças aos Estereótipos de Gênero, Vieses Inconscientes Construídos ao Longo do Tempo, Como Evitar os Vieses Inconscientes no Dia a Dia
Os Vieses Inconscientes na Sociedade, Os Vieses Inconscientes nas Organizações, Como Evitar os Vieses Inconscientes nas Organizações, Competências e Mulheres, Maternidade e Trabalho, Paternidade e Trabalho
Vieses Inconscientes e Comportamentos Percebidos, Ações para Sensibilizar as Pessoas em Relação aos Vieses de Gênero, Comunicação e Gênero, Networking e Gênero, Avaliação de Desempenho e Gênero, Sucessão aos Cargos de Liderança e Gênero
Comportamentos e Cultura Organizacional, Comportamentos de Homens e Mulheres, Homens e Mulheres no Ambiente Corporativo, Masculinidade Tóxica, Comportamentos de Masculinidade nas Lideranças, Aula 6 | Como Evitar a Masculinidade Tóxica
Course: Digital Governance
Modules:
Introduction and Synopsis, 2023 Update: And then there was ChatGPT, 2023 Update: The future of surveillance, 2023 Update: Developments in the EU legislation landscape
A Tale of Three Axes: Law in the Digital Age, The Risks of the Digital Era and the Need For the Law to Regulate These Risks, Data Science and Law: How Does Data Science and AI Change Legal Practice, Data Analytics: Transforming Legal Studies and Research
Introduction to E-Democracy, The Second Wave of E-Democracy, The Future of E-Democracy
Data Processing Networks in Public Administration, Surveillance Technology for the Public Good
The Promise of Online Courts: Improving Access to Justice Through Technology, What is Online Dispute Resolution and How is it Related to E-Commerce?, Access to Justice in Online Courts
Competition and Regulation in the Digital Economy (PART ONE), Competition and Regulation in the Digital Economy (PART TWO), Multisided Digital Platforms: Features and Economic Impacts, Does a Free Market Economy Mean that Everything is Allowed? Principles of Competition Law, Applying Competition Law in the Digital Era of Tech Giants, Why Do We Regulate and Why Do We Regulate Digital Markets?, Competition vs Regulation: When Does Each Come Handy?, Stories of Success and Failure: Do Competition and Regulation Work?
Data Ownership: Property Rights, Exchange and Incentives (PART ONE), Data Ownership: Property Rights, Exchange and Incentives (PART TWO), Digitalization and Data Ownership, Data Governance Design
Thank you for joining us!
Course: OS Security
Modules:
Course Overview, Instructor Welcome, Module 1 Introduction, Firewall Configuration, Window Logs, Linux Logs
Module 2 Introduction, File Permissions, Configure File Permissions, Special Permissions
Summative Course Assessment
Course: Advanced Golang Concepts
Modules:
Course Introduction, Introduction to Reflection - I, Introduction to Reflection - II, Reflect Package in Go - I, Reflect Package in Go - II, Laws of Reflection - I, Laws of Reflection - II, Manipulating Variables and Types - I, Manipulating Variables and Types - II, Introduction to Metaprogramming - I, Introduction to Metaprogramming - II, Unsafe Package, Unsafe Pointers, Memory Layout, Performance Optimization - I, Performance Optimization - II
Introduction to Cgo, Working with Cgo, Memory Allocation, Custom Errors, Error Wrapping, Context Propagation, Writing Comprehensive Unit, Testing Integration, Testing Utilities, Introduction to Profiling, Types of Profiling, Benchmarking, Profiling Benchmarking
Introduction to Database Connectivity, Components of Database Connection, CRUD Operations -I, CRUD Operations -II, Transaction Management -I, Transaction Management -II, Connection Pooling, Introduction to Network Programming - I, Introduction to Network Programming - II, Basic Network Operations, Network Security in Go - I, Network Security in Go - II, Building Custom Network Protocols and Servers
Introduction to Design Patterns - I, Introduction to Design Patterns - II, Common Design Patterns - I, Common Design Patterns - II, More to Design Patterns in Go - I, More to Design Patterns in Go - II, SOLID Design Principles, Understanding Memory Allocation in Go - I, Understanding Memory Allocation in Go - II, New and Make - I, New and Make - II, Garbage Collection Impact - I, Garbage Collection Impact - II, Minimizing Garbage Collection Techniques, Building RESTful APIs - I, Building RESTful APIs - II, Gin Framework Installation, Working with Gin Framework, Authentication Techniques for Gin
Advanced Golang Concepts : Course Summary
Course: Introduction to Public Speaking
Modules:
Welcome!, Course and assignment overview, Week 1 overview, What is rhetoric?, Rhetorical situations, The canons of rhetoric, Speech is a natural medium of sound, Don't treat speaking as writing, How do we talk?, Good delivery is easy to understand, Week 1 review, Introductory speech sample, Recording good speech videos
Week 2 overview, Key point speech overview, Key point speech rubric, The components of a memorable point, Can you hear these components?, Outlining and flowing, Inventing key points: Topics, Inventing key points: How many points?, Arranging key points: Subordination, Arranging key points: Coordination and discreteness, Stylizing key points: Phrasing, Key point speech for analysis, Improved key point speech (Optional), Week 2 review
Week 3 overview, Finding the right support, Discussing your examples concisely, Performing your key point, Sample performance of a key point, Highlighting speech structure, Introductions, Transitions, Conclusions, Key point speech with structure identified (Optional), Revising your speech, Practicing and remembering your speech, Week 3 review, Sample elevator speech
Week 4 overview, What is public speaking apprehension?, The causes of public speaking apprehension, Reducing your public speaking apprehension, Example of public speaking apprehension, Analyzing the example, Breath control, Projection, Pitch, Rate and pauses, Gestures, Movement, Sample speech, Improved speech (Optional), Week 4 review
Course review, Other recommended courses, Sample key point speech
Course: Security Principles
Modules:
Course Introduction
CIA Triads, Identification, Multifactor Authentication or Single Factor Authentication
Threats, Vulnerabilities, Likelihood, Risk – Concepts and Definitions, Risk Management
Security Controls
Governance
(ISC)² Code of Ethics
Chapter Review, Security Principles Quiz
Course: Security and Privacy in TOR Network
Modules:
Welcome to TOR Networking, TOR Basic Concepts, Realize Anonymity in TOR, Sniper Attack on TOR
Hidden Services and Their Attacks, Defense Against Deanonymizing Attack, Cloud Based TOR
Censor Model and Censorship Resistance System Survey Result, L3-2 CS6910 Censor Attack Model and Apparatus, L3-3 Fingerprinting, L3-4.  Direct Censorship, L3.5.  Range of Censorship Actions
L4.1. Overview of Censorship Resistance Systems, L4.2. CRS Properties, L4.3. Techniques for CRS Communication Establishment Phase, L4.4. Techniques for CRS Conversation Phase., L4.5. Open CRS Research Areas
Course: Google Workspace Security - Português Brasileiro
Modules:
Apresentação e guia para iniciantes, Introdução às configurações de segurança comuns, Uso de um grupo de exceção, Introdução ao SSO, LDAP seguro, Introdução à segurança para aplicativos, Visão geral das ferramentas de segurança, Central de segurança, Recapitulação
Course: Law You Can Use
Modules:
Welcome and Course Introduction
Introduction to Module 1, Introduction to the American Legal System, Reading Cases and Statutes, Administrative Law - Regulations
Module 2 Introduction, The Compliance Program, HIPAA Basics, HIPAA and Cybersecurity, HIPAA Hot Topics, How Compliance Can Help
Introduction to Module 3, Disability Definition, Reasonable Accommodation, Medical Exams and Inquiries, Specific Situations
Introduction to Module 4, What is Corporate Compliance and Why Does it Matter, Compliance and Ethics, Hot Topics in Ethics and Compliance
Introduction to Module 5, Introduction to International Business Law, Key Issues in Cross-Border Transactions, Trade Compliance, Dispute Resolution in Cross-Border Transactions
Course: Wilderness First Aid - Environmental Emergencies
Modules:
Hand Washing, Body Washing, and Principles of Camp Hygiene, Water Treatment
Heat-Induced Emergencies Part 1, Heat-Induced Emergencies Part 2, Cold-Induced Emergencies Part 1, Cold-Induced Emergencies Part 2, Cold-Induced Emergencies Part 3
Altitude, Lightning Part 1, Lightning Part 2
Drowning Part 1, Drowning Part 2
Course: Regression and Classification
Modules:
Introduction and Welcome, Supervised vs. Unsupervised, Notation Overview, Overview Example & Discussion, Prediction, Inference, Parametric Methods, Interpretability vs. Flexibility, Quantitative vs. Qualitative
Model Accuracy, Bias-Variance Trade-off, Assessing Accuracy — Classification, Bayes Classifier Part I, Bayes Classifier Part II, Assessing Accuracy — KNN
Simple Linear Regression Overview, Coefficient Estimation, Accuracy of Coefficient Estimates, Model Accuracy, Correlation
Multiple Linear Regression Overview, Relationship Between X and Y, Qualitative Predictors, Interaction Terms, Multicollinearity, Linear Regression vs. KNN Regression
Classification Overview, Linear vs. Logistics Regression, Logistic Regression, Estimating Coefficients, Multiple Logistic Regression, Generative Models Part I, Generative Models Part II
LDA, LDA Estimates, LDA with p > 1, Standard to Multivariate Details, QDA, Naive Bayes, Poisson Regression, Link Functions and Conclusion
Course: 디지털 전환 입문과정 [파트 1]
Modules:
디지털 혁명, 디지털 시대의 도래, 기술의 급격한 발전, 기술 경쟁, 변화하는 경쟁의 기반, 가치 사슬의 해체, Pitney Bowes의 디지털 전환, Marc Lautenbach와의 인터뷰, Lila Snyder과의 인터뷰, 핵심 요점 - 디지털 혁명
소개 - 디지털 디스럽션의 경제학, 역사적 관점, 파괴적 혁신은 새로운 개념이 아니다, 디지털 전환의 다섯 가지 영역, 환경 분석 및 경쟁적 수명 주기, 경쟁적 수명 주기의 세부 내용, 기업의 의무, 혁신의 경제학, 포트폴리오 보기, 핵심 요점 - 디지털 디스럽션의 경제학
소개 - 디지털화로 가는 길, 디지털 전환 계획하기, 판단력 높이기, 가치 창출, 생태계의 활용, 성장 주도, 스타벅스의 디지털 전환, 핵심 요점 - 디지털화로 가는 길
웨이모 사례 연구
Course: Rust Fundamentals
Modules:
Meet your Course Instructor: Alfredo Deza, About This Course, Overview of Installing Rust, Demo: Installing Rust, Demo: Visual Studio Code, Demo: Enabling the Rust Analyzer, Demo: Using the Rust Analyzer, Demo: Synchronizing your settings, Summary of Installing Rust and Visual Studio Code, Overview of AI Pair Programming with Github Copilot, Demo: Signing up for GitHub Copilot, Demo: Installing and enabling Copilot on Visual Studio Code, Demo: Programming with suggestions, Demo: Using prompts with Copilot, Demo: Copilot X and chat-based learning, Summary of AI Pair Programming, Overview of Codespaces, Demo: Fundamentals of Codespaces, Demo: Understanding usage and quotas, Demo: Basics of dev containers, Demo: Customizing the editor, Demo: Customizing the environment, Summary of Codespaces
Introduction to Rust, Demo: Create a new Rust project, Demo: Overview of project files, Demo: Basic components of Rust code, Demo: Variable assignment and immutability, Demo: Basics of control flow, Demo: Shadowing variables, Summary of Introduction to Rust, Introduction to Loops and Control Flow, Demo: Introduction to Loops in Rust, Demo: Conditional Statements in Rust, Demo: The while Loop in Rust, Demo: The for Loop in Rust, Demo: The break and continue statements in Rust, Demo: The match Control Flow Statement in Rust, Summary of Loops and Control Flow, Introduction to Function Basics, Demo: Simple unit functions, Demo: Return values, Demo: Using arguments, Demo: The borrowing concept, Demo: Using panic to stop a program, Demo: Basic error handling with match, Summary of Function Basics
Introduction to Structured Data, Demo: Defining structs, Demo: Creating struct instances, Demo: Associated functions and constructors, Demo: Other struct uses, Summary of Structured Data, Introduction to Strings and Vectors, Demo: Understanding String and str, Demo: Getting Started with Rust String Manipulation, Demo: Basics of Vectors, Demo: Retrieving values from Vectors, Demo: Adding elements to Vectors, Summary of Strings and Vectors, Introduction to Enums and Variants, Demo: Defining an Enum, Demo: Using Enum as a Type, Demo: The Option Enum, Demo: Applied Enums, Demo: Using Vectors with Enums, Demo: Exhaustive matches, Summary of Enums and Variants
Introduction to Libraries and Cargo, Demo: Creating the library with Cargo, Demo: Adding code to lib, Demo: Documenting your code, Demo: Using a debugger, Demo: Using a Makefile, Summary of Libraries and Cargo, Introduction to Modules, Demo: Using Cargo for dependencies, Demo: Extending with modules, Demo: Verify code with doctest, Demo: Defining Public and Private modules, Demo: Private and public fields in Structs, Summary of Modules, Introduction to Testing, Demo: Organizing test files, Demo: Introduction to testing in Rust, Demo: Writing tests for your code, Demo: Testing private code, Demo: Using test failure messages, Summary of Testing, Course Summary
Course: The Modern World, Part Two: Global History since 1910
Modules:
The Shock of 1914, Schizophrenic Germany, The Balkan Whirlpool, The Shock of 1914-Second Cut, All the Plans Fail, On to Victory?
Total States, Why Did the Allies Win?, The End of Empires?, Communism, Anti-Communism, The Age of Uncertainty, Modern Women, The World of 1930
Challenges to Capitalism and Collective Security, Escapes from Freedom, Total Politics, New Wars for New Empires, Triumph of the New Empires
Choosing Global War, Gambling for Victory, Strategies for Total War, Zero Hour, Imagining New Countries, Postwar, Two Europes, Revolutionary Asia
The Age of the Americans, Choosing War in Korea, Contemplating World War III, The Shadow of World War III, The Nuclear Revolution, New Empires and Confederations, The Third World, To the Brink, Wars of Containment
Breakdown and Reaction, The Weary Establishment, Bust, New Thinking in the West, Global Capitalism Transformed, New Thinking in the East, The End of the Cold War
The 'Washington Consensus', Toward a New Era in World History, The Great Convergence, The Bottom Billion, The Muslim World, Drift and Shock, The Global and the Local, An Age of Transition
Course: Google Cloud Customer Care Fundamentals - 한국어
Modules:
과정 소개
Google Cloud Customer Care 소개, 로그 데이터 정리
지원 케이스 제출, 문제 해결 및 조사, 케이스 에스컬레이션
케이스 해결
Course: Les bases de la gestion des clients et des concurrents avec Goldman Sachs 10,000 Women
Modules:
Bienvenue, Segmentation de votre clientèle, Maximiser la valeur dans le processus d'achat du client, Explorer la différenciation concurrentielle, Présentation de la proposition de valeur client, Choisir un modèle de tarification
Course: Blockchain Scalability and its Foundations in Distributed Systems
Modules:
Introduction to the course, Introduction to Module 1, History of blockchain, What is blockchain?, Double spending, Module 1 conclusion, An interview with Christian Cachin - Cryptography and quantum computing
Introduction to Module 2, The 2 types of failures, The 3 properties of the consensus problem, Impossibility of consensus, Proof of work and the importance of miners, Resolving forks, 51% attacks and network delay, GHOST protocol, Module 2 conclusion, An interview with Christian Cachin - Hyperledger Fabric version 0.6 to 1.x
Introduction to Module 3, Consensus without failures, Consensus with crash failures, Consensus with Byzantine failures, Byzantine tolerant consensus, Module 3 conclusion, An interview with Christian Cachin - A prototype of Fabric with BFTSMaRt Byzantine consensus
Introduction to Module 4, Beyond synchrony, The Balance Attack, Double spending in Ethereum, Module 4 conclusion, An interview with Christian Cachin - Evaluating different blockchain systems
Introduction to Module 5, Consensus without synchrony, Leveraging bandwidth, Set Byzantine Consensus problem, Democratic Byzantine Fault Tolerance, The Red Belly Blockchain, Module 5 conclusion, An interview with Christian Cachin - What if Byzantine participants keep sending invalid requests?, Summary of course
Course: COVID-19 - A clinical update
Modules:
Introduction to COVID-19: A clinical update, 1. How SARS-CoV-2 Causes Disease (1-6-23), COVID-19 Epidemiology Part I (1/6/23), COVID-19 Epidemiology Part II (1-6-23), Video- Dr. Richard Wenzel discusses Epidemic Curves
Video: Clinical Characteristics of COVID-19: Symptoms (1-6-23), Clinical Characteristics of COVID-19: Diagnosis (1-9-23), Clinical Characteristics of COVID-19: Course  and Prognosis (1-9-23), Video - COVID-19 Treatment: Supportive Care (1-10-23), Covid-19 Treatment: Medications (1-11-23), Infectious Disease Society of America (IDSA) COVID-19 treatment guidelines (1/11/23)
COVID-19 Prevention: Part 1 (1/31/23), COVID-19 Prevention: Part 2 (1/31/23), Disinformation, Person to Person Spread of COVID-19 Dr. R. Wenzel, The efficacy of face masks and the danger of aerosols. Dr. R. Wenzel, Personal Guidelines for Preventing COVID-19, Why should you wear a face mask?, COVID-19 Simulations of spread after Shelter-in-Place with Dr. Glenn Morris, SARS-CoV-2 Vaccination (Part 1) 1-28-23, SARS-CoV-2 Vaccination (Part 2) 1-28-23, SARS-CoV-2 Vaccination (Part 3)  1-28-23, One elderly patient's view of the SARS-CoV-2 vaccine, Is the COVID-19 bivalent booster vaccine effective? Dr. Paul Offit (1-17-23), COVID-19 Testing Scale Up in the U.S.: The Problem, COVID-19 Testing Scale Up in the U.S.: The Solution, COVID-19 Vaccine Delivery
Introduction to Module 4 by Dr. Fred Southwick, Clinical Evaluation of the COVID-19 Patient: Part 1, Clinical evaluation of the COVID-19 Patient: Part 2, Applying Bayes' theorem to guide SARS-CoV-2 testing., COVID-19 Associated ARDS: Diagnosis and Management, COVID-19 Advanced treatment of ARDS and ICU Care, Admitting the COVID-19 patient to the medical floor, Proning patients on the medical-surgical floor, Pharmacologic treatment of COVID-19 patients on the Medical-Surgical Floor (5-5-21), Management of Decompensation on the Medical-Surgical Floor, Discharging the COVID-19 patient from the Medical-Surgical Ward, Managing COVID-19 patients on the floor: Bringing it all together., Creation of COVID-19 Hospital in Rural India, COVID-19 Associated Thrombosis (Dr. R. Flaumenhaft), COVID-19 Associated Thrombosis: Incidence (Dr. A. Rajasekhar), COVID-19 Associated Thrombosis: Prevention and Treatment (Dr. A. Rajasekhar)
Course: Introduction to Google Workspace Administration
Modules:
Welcome, Account domain and setup, Google Admin console, Provisioning, Provision users, Google Cloud Directory Sync, Provision users with the Admin SDK API, Google Groups, Google Calendar resources, Managing Users, User licenses, Organizational structures, Google Workspace Directory, Shared contacts, Admin roles, Course recap
Course: Educating Deaf Children: Becoming an Empowered Teacher
Modules:
Welcome to the course, Welcome to Week 1, A Holistic Approach to Teaching Deaf Children, TEDI Project: Challenges of Teachers in Deaf Education, TEDI Project: Deaf Children's Experiences, Personal Stories: Our School Experiences as Deaf Children, Promoting Resilience in Deaf Children, Understanding Deaf Culture and Community, Being Part of the Deaf Community
Welcome to Week 2, Understanding Hearing Loss, Early Communication Development, Early Emotional and Social Development, Interview: Facilitating Development in the Deaf Pre-schooler, Social and Emotional Development of the School-age Learner, Interview: Facilitating development in the Deaf learner, Understanding Additional Barriers to Learning, Interview: Personal Experiences of Barriers to Learning, The Deaf Child's Language and Communication, Interview: Facilitating Effective Language and Communication
Welcome to Week 3, Modifying the learning environment, Interview: Practical classroom modifications, Language adaptations for the Deaf child, Interview: Implementing language adaptations, Teaching method adaptations for the Deaf child, Assessment adaptations for the Deaf child, Interview: Adapting teaching methods and assessments, Assistive devices used by Deaf children
Welcome to Week 4, Taking care of yourself, Mobilising support, The Parent-Teacher Partnership: A parent’s perspective, Collaborating with teaching assistants, Learning from an empowered teacher, Interview: Becoming an empowered teacher, Cultivating positive change, Course conclusion
Course: مهارات البيع الاحترافية | Professional Selling Skills
Modules:
مقدمة عامة وترحيب بالمتدربين, مفهوم البيع, (هرم ماسلو) للاحتياجات الإنسانية, أنواع العملاء وكيفية التعامل معهم
كسر الجليد, لغة الجسد, الإنصات الفعال، واستخدام جمل التعاطف
الاستعداد, تحديد احتياجات العملاء, عرض المنتج أو الخدمة, التعامل مع اعتراضات العملاء - الجزء الأول, التعامل مع اعتراضات العملاء - الجزء الثاني, التفاوض والإقناع - الجزء الأول, التفاوض والإقناع - الجزء الثاني, التفاوض والإقناع - الجزء الثالث, التفاوض والإقناع - الجزء الرابع, الإغلاق - الجزء الأول, الإغلاق - الجزء الثاني, المتابعة وخدمة ما بعد البيع
السمات الشخصية لموظفي المبيعات المحترفين - الجزء الأول, السمات الشخصية لموظفي المبيعات المحترفين - الجزء الثاني, الخلاصة
Course: Network Externalities, Platform Markets and Sharing
Modules:
Introduction to Network Externalities and the Sharing Economy, Network Race, Platform Market and Complementary Products, What is Sharing?, Expert Interview: New Forms of Mobility, Identifying Meaningful Sharing Models
Course: FinTech: Foundations, Payments, and Regulations
Modules:
Introduction, What is FinTech?, Robo-Advising, Defining the Market Size, Attitudes Towards Financial Apps, Assets Under Management of Robo-Advisors, The Insurtech Market, The Global Market
Key Considerations in FinTech, Millennials' Attitude Towards Financial Advice, Risk Aversion, Millennials and Social Impact, Trust in FinTech, Choice Architecture
Professor Sarin Introduction, History of Payment Methods, Current Global Trends in Payment Methods, Two-Sided Payment Markets, Complexity of Payment Process, Cost Burden for Merchants, Who Pays for Credit Card Reward, Introduction to Regulation, US Credit Regulation, International Credit Regulation, Future of Payment Networks
Perspectives on Regulation, The Regulation Innovation Tradeoff, The Great Recession, Emergence of FinTech, FinTech Growth & Benefits, Issues with FinTech, Issues Regulating FinTech, US FinTech Regulation, Global FinTech Regulation, RegTech and Looking Forward, Thank You
Course: Gemini in Google Docs - 简体中文
Modules:
“Google 文档中的 Gemini”简介, 使用 Gemini 创作内容, 修改提示和润色文本, 校对文档, 活动介绍
Course: Gemini for Cloud Architects - 日本語版
Modules:
クラウドアーキテクト向けGeminiの紹介, GeminiによるGKEクラスタの構成, Geminiでウェブアプリを設計する
Course: Administración Estratégica y Emprendedora
Modules:
Módulo 1, parte 1, Módulo 1, parte 2, Módulo 1, parte 3, Módulo 1, parte 4, Módulo 1, parte 5, Módulo 1, parte 6
Módulo 2, parte 1, Módulo 2, parte 2, Módulo 2, parte 3, Módulo 2, parte 4, Módulo 2, parte 5, Módulo 2, parte 6
Módulo 3, parte 1, Módulo 3, parte 2, Módulo 3, parte 3, Módulo 3, parte 4, Módulo 3, parte 5, Módulo 3, parte 6
Módulo 4, parte 1, Módulo 4, parte 2, Módulo 4, parte 3, Módulo 4, parte 4, Módulo 4, parte 5
Módulo 5, parte 1, Módulo 5, parte 2, Módulo 5, parte 3, Módulo 5, parte 4, Módulo 5, parte 5
Módulo 6, parte 1, Módulo 6, parte 2, Módulo 6, parte 3, Módulo 6, parte 4
Course: Computational Thinking for Problem Solving
Modules:
1.1 Introduction, 1.2 Decomposition, 1.3 Pattern Recognition, 1.4 Data Representation and Abstraction, 1.5 Algorithms, 1.6 Case Studies
2.1 Finding the Largest Value, 2.2 Linear Search, 2.3 Algorithmic Complexity, 2.4 Binary Search, 2.5 Brute Force Algorithms, 2.6 Greedy Algorithms, 2.7 Case Studies
3.1 A History of the Computer, 3.2 Intro to the von Neumann Architecture, 3.3 von Neumann Architecture Data, 3.4 von Neumann Architecture Control Flow, 3.5 Expressing Algorithms in Pseudocode, 3.6 Case Studies
4.1 Introduction to Python, 4.2 Variables, 4.3 Conditional Statements, 4.4 Lists, 4.5 Iteration, 4.6 Functions, 4.7 Classes and Objects, 4.8 Case Studies, 4.9 Course Conclusion
Course: Launching into Machine Learning 日本語版
Modules:
コースの概要
はじめに, データ品質の改善, Google Cloud と Qwiklabs のスタートガイド, ラボの概要: データ品質の改善, ラボのデモ: データ品質の改善, 探索的データ分析（EDA）とは, ML での EDA の使われ方, データ分析と可視化, ラボの概要: Python と BigQuery を使ったデータ探索
はじめに, 教師ありの学習, 線形回帰, ラボの概要: 線形回帰の概要, ラボのデモ: 線形回帰の概要, ロジスティック回帰
はじめに, ML とディープ ラーニングの比較, 自動 ML とは, AutoML の回帰モデル, AutoML モデルを評価する
はじめに, BigQuery ML を使用した ML モデルのトレーニング, BigQuery の ML 対応モデル, ラボの概要: BigQuery ML を使用したペンギンの体重予測（BigQuery ML および Explainable AI）, ラボのデモ: BigQuery ML を使用したペンギンの体重予測（BigQuery ML および Explainable AI）, BigQuery ML ハイパーパラメータ チューニング, BigQuery ML を使用してレコメンデーション システムを構築しデプロイする方法
はじめに, ML モデルの定義, コース データセットの紹介, 損失関数の概要, 勾配降下法, 損失曲線のトラブルシューティング, ML モデルの注意点, 講義ラボ:  TensorFlow Playground の概要, 講義ラボ: TensorFlow Playground - 上級, 講義ラボ: ニューラル ネットワークに関する実践, パフォーマンス指標, 混同行列
はじめに, 一般化と ML モデル, モデル トレーニングを停止するタイミング, BigQuery で再現可能なサンプルを作成する, デモ: BigQuery でデータセットを分割する
まとめ, リソース: すべての理解度チェックの質問, リソース: すべての参考資料, リソース: すべてのスライド (English only)