Giant List of AI/Machine Learning Education
Tags: tutorials
Published: 2019-07-19 17:38:23

---
title: Giant List of AI/Machine Learning Education
published: true
tags: Tutorials
canonical_url: https://vuild.com/ai-education
---

There is no doubt about the global interest in AI/machine learning. We’ve all been watching movies about it for decades, so it comes as no surprise that there is a lot of money being thrown at the industry. Big tech is spearheading R&D, but these days anyone can educate themselves & make waves in the industry. Here is a curated selection of (mostly) free videos, lectures, papers & courses to get you started.

[Download as PDF](https://vuild.com/ai-education?pdf=1)
1. AI2   
[https://www.youtube.com/channel/UCEqgmyWChwvt6MFGGlmUQCQ](https://www.youtube.com/channel/UCEqgmyWChwvt6MFGGlmUQCQ)
2. Andrew Ng deeplearning.ai   
[https://www.deeplearning.ai](https://www.deeplearning.ai)
3. Artificial Intelligence – Topic   
[https://www.youtube.com/channel/UC9pXDvrYYsHuDkauM2fLllQ](https://www.youtube.com/channel/UC9pXDvrYYsHuDkauM2fLllQ)
4. CaltechX Learning From Data – Introductory Machine Learning    
[https://www.edx.org/course/learning-from-data-introductory-machine-learning](https://www.edx.org/course/learning-from-data-introductory-machine-learning)
5. Coursera Machine Learning   
[https://www.coursera.org/learn/machine-learning](https://www.coursera.org/learn/machine-learning)
6. Coursera Machine Learning Specialization   
[https://www.coursera.org/specializations/machine-learning](https://www.coursera.org/specializations/machine-learning)
7. Data School   
[https://www.youtube.com/user/dataschool](https://www.youtube.com/user/dataschool)
8. DeepLearning.TV   
[https://www.youtube.com/channel/UC9OeZkIwhzfv-\_Cb7fCikLQ](https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ)
9. EdX Artificial Intelligence Courses   
[https://www.edx.org/learn/artificial-intelligence](https://www.edx.org/learn/artificial-intelligence)
10. Fast.ai   
[https://www.fast.ai](https://www.fast.ai) & [https://course.fast.ai](https://course.fast.ai)
11. Gareth James An Introduction to Statistical Learning   
[http://faculty.marshall.usc.edu/gareth-james/ISL](http://faculty.marshall.usc.edu/gareth-james/ISL)
12. Geoffrey Hinton Neural Networks for Machine Learning   
[https://www.youtube.com/watch?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk\_SNhz9&v=cbeTc-Urqak](https://www.youtube.com/watch?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9&v=cbeTc-Urqak)
13. Georgia Tech Artificial Intelligence for Robotics   
[https://eu.udacity.com/course/artificial-intelligence-for-robotics–cs373](https://eu.udacity.com/course/artificial-intelligence-for-robotics--cs373)
14. Google Learning   
[https://ai.google/education](https://ai.google/education)
15. Google Machine Learning Crash Course    
[https://developers.google.com/machine-learning/crash-course](https://developers.google.com/machine-learning/crash-course)
16. Google TensorFlow, Keras & deep learning, Without a PhD   
[https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist](https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist)
17. Google Python Class   
[https://developers.google.com/edu/python](https://developers.google.com/edu/python)
18. Hugo Larochelle’s Neural Network Videos   
[https://www.youtube.com/watch?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH&v=SGZ6BttHMPw](https://www.youtube.com/watch?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH&v=SGZ6BttHMPw)
19. James McCaffrey’s Data Science Lab   
[https://visualstudiomagazine.com/Articles/List/Neural-Network-Lab.aspx](https://visualstudiomagazine.com/Articles/List/Neural-Network-Lab.aspx)
20. Justin Johnson Derivatives, Backpropagation & Vectorization   
[http://cs231n.stanford.edu/handouts/derivatives.pdf](http://cs231n.stanford.edu/handouts/derivatives.pdf)
21. Kahn Academy Differential Calculus   
[https://www.khanacademy.org/math/differential-calculus](https://www.khanacademy.org/math/differential-calculus)
22. Larry Wasserman All of Statistics: A Concise Course in Statistical Inference   
[http://www.ic.unicamp.br/~wainer/cursos/1s2013/ml/livro.pdf](http://www.ic.unicamp.br/~wainer/cursos/1s2013/ml/livro.pdf)
23. Larry Wasserman Statistical Methods for Machine Learning   
[https://www.youtube.com/watch?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE&v=zcMnu-3wkWo](https://www.youtube.com/watch?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE&v=zcMnu-3wkWo)
24. Learning Machines 101   
[https://www.learningmachines101.com](https://www.learningmachines101.com)
25. Linear Digressions   
[https://podcasts.apple.com/us/podcast/linear-digressions/id941219323](https://podcasts.apple.com/us/podcast/linear-digressions/id941219323)
26. Machine Learning at Berkeley   
[https://www.youtube.com/channel/UCXweTmAk9K-Uo9R6SmfGtjg](https://www.youtube.com/channel/UCXweTmAk9K-Uo9R6SmfGtjg)
27. Machine Learning for Kids   
[https://machinelearningforkids.co.uk](https://machinelearningforkids.co.uk)
28. Machine Learning Guide   
[http://ocdevel.com/mlg](http://ocdevel.com/mlg)
29. Machine Learning Recipes with Josh Gordon   
[https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU\_jL2ryal](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal)
30. Machine Learning TV   
[https://www.youtube.com/channel/UChIaUcs3tho6XhyU6K6KMrw](https://www.youtube.com/channel/UChIaUcs3tho6XhyU6K6KMrw)
31. Mathmaticalmonk Machine Learning    
[https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA)
32. Michael Nielson Neural Networks & Deep Learning   
[http://neuralnetworksanddeeplearning.com](http://neuralnetworksanddeeplearning.com)
33. Microsoft Professional Program for Artificial Intelligence    
[https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence](https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence)
34. MIT Artificial Intelligence Class   
[https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm)
35. MIT DeepLearning Book   
[http://www.deeplearningbook.org](http://www.deeplearningbook.org)
36. MIT Introduction to Probability & Statistics   
[https://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/index.htm](https://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/index.htm)
37. MIT Linear Algebra   
[https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm)
38. Oxford Deep NLP   
[https://github.com/oxford-cs-deepnlp-2017/lectures](https://github.com/oxford-cs-deepnlp-2017/lectures)
39. Peter Norvig Paradigms of Artificial Intelligence Programming   
[https://github.com/norvig/paip-lisp](https://github.com/norvig/paip-lisp)
40. Quora Artificial General Intelligence   
[https://www.quora.com/topic/Artificial-General-Intelligence](https://www.quora.com/topic/Artificial-General-Intelligence)
41. Quora Artificial Intelligence   
[https://www.quora.com/topic/Artificial-Intelligence](https://www.quora.com/topic/Artificial-Intelligence)
42. Quora Classification Machine Learning   
[https://www.quora.com/topic/Classification-machine-learning](https://www.quora.com/topic/Classification-machine-learning)
43. Quora Deep Learning   
[https://www.quora.com/topic/Deep-Learning](https://www.quora.com/topic/Deep-Learning)
44. Quora Machine Learning   
[https://www.quora.com/topic/Machine-Learning](https://www.quora.com/topic/Machine-Learning)
45. Quora Natural Language Processing   
[https://www.quora.com/topic/Natural-Language-Processing](https://www.quora.com/topic/Natural-Language-Processing)
46. Reddit Artificial   
[https://www.reddit.com/r/artificial](https://www.reddit.com/r/artificial)
47. Reddit Data Science   
[https://www.reddit.com/r/datascience](https://www.reddit.com/r/datascience)
48. Reddit Learn Machine Learning   
[https://www.reddit.com/r/learnmachinelearning](https://www.reddit.com/r/learnmachinelearning)
49. Reddit Machine Learning   
[https://www.reddit.com/r/MachineLearning](https://www.reddit.com/r/MachineLearning)
50. Reddit ML Class   
[https://www.reddit.com/r/mlclass](https://www.reddit.com/r/mlclass)
51. Reddit ML Papers   
[https://www.reddit.com/r/mlpapers](https://www.reddit.com/r/mlpapers)
52. Reddit ML Questions   
[https://www.reddit.com/r/MLQuestions](https://www.reddit.com/r/MLQuestions)
53. Reddit Language Technology   
[https://www.reddit.com/r/LanguageTechnology](https://www.reddit.com/r/LanguageTechnology)
54. Reddit Robotics   
[https://www.reddit.com/r/robotics](https://www.reddit.com/r/robotics)
55. Sentdex   
[https://www.youtube.com/user/sentdex](https://www.youtube.com/user/sentdex)
56. Siraj Raval   
[https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A](https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A)
57. Stanford CS231n: Convolutional Neural Networks for Visual Recognition   
[https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNFt6EuMxFYRiNRS07MCWN5UIA](https://www.youtube.com/watch?v=g-PvXUjD6qg&list=PLlJy-eBtNFt6EuMxFYRiNRS07MCWN5UIA)
58. Stanford CS224n — Natural Language Processing with Deep Learning   
[https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq\_TcylNr7EkRe6](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6)
59. Talking Machines   
[http://www.thetalkingmachines.com](http://www.thetalkingmachines.com)
60. TensorFlow Neural Network Playground   
[http://playground.tensorflow.org](http://playground.tensorflow.org)
61. The AI Podcast   
[https://blogs.nvidia.com/ai-podcast](https://blogs.nvidia.com/ai-podcast)
62. This Week in Machine Learning & AI   
[https://twimlai.com](https://twimlai.com)
63. Two Minute Papers   
[https://www.youtube.com/user/keeroyz](https://www.youtube.com/user/keeroyz)
64. Udacity Intro to TensorFlow for Deep Learning    
[https://eu.udacity.com/course/intro-to-tensorflow-for-deep-learning–ud187](https://eu.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187)
65. Udacity Intro to Machine Learning   
[https://eu.udacity.com/course/intro-to-machine-learning–ud120](https://eu.udacity.com/course/intro-to-machine-learning--ud120)
66. Understanding Machine Learning: From Theory to Algorithms   
[http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html)
67. Zed Shaw Learn Python 3 the Hard Way   
[https://learnpythonthehardway.org/python3](https://learnpythonthehardway.org/python3)
Let us know if we missed your favorite place to educate yourself about AI/machine learning.

This data is from Vuild’s [list of AI/machine learning education](https://vuild.com/ai-education). Please visit [vuild.com](https://vuild.com) for more.