List of AI/Machine Learning Resources

July 19th, 2019

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.

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

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