Youtube Playlist

Playlist - Stanford CS229 2019 Anand Avati

  1. Introduction and Linear Algebra - https://www.youtube.com/watch?v=KzH1ovd4Ots&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=1

  2. Matrix Calculus - https://www.youtube.com/watch?v=b0HvwszmqcQ&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=2

  3. Probability and Statistics - https://www.youtube.com/watch?v=Mi8wnYc1m04&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=3

  4. Linear Algebra - https://www.youtube.com/watch?v=lNHaZlZJATw&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=4

  5. Perceptron and Logistic Regression - https://www.youtube.com/watch?v=WViuTuAOPlM&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=5

  6. Exponential Family and GLMs - https://www.youtube.com/watch?v=sj0iPn03i7Q&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=6

  7. GDA, Naive and Laplace Smoothing - https://www.youtube.com/watch?v=yieIOW9Kaw4&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=7

  8. Kernel Methods and SVMs - https://www.youtube.com/watch?v=p61QzJakQxg&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=8

  9. Bayesian Methods and Parametric and non parametric models - https://www.youtube.com/watch?v=IgUi7BDe1DQ&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=9

  10. Deep learning 1 - https://www.youtube.com/watch?v=mpJ2bFF6o8s&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=10

  11. Deep learning 2 - https://www.youtube.com/watch?v=4wmqDaFhs9E&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=11

  12. Bias and Variance regularization - https://www.youtube.com/watch?v=XhyOAX6oSX4&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=12

  13. Statistical Learning Theory & Uniform Convergence - https://www.youtube.com/watch?v=AbhV49lfaWw&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=13

  14. Reinforcement Learning 1 - https://www.youtube.com/watch?v=jNevGGOkklE&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=14

  15. Reinforcement Learning 2 - https://www.youtube.com/watch?v=4BbHU2_wphg&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=15

  16. K-Means and EM and GMM - https://www.youtube.com/watch?v=LmpkKwsyQj4&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=16

  17. Factor Analysis and Elbo - https://www.youtube.com/watch?v=pA-bo8_HNy4&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=17

  18. Principal and Independent Component Analysis - https://www.youtube.com/watch?v=7pJ6XNvpO8M&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=18

  19. Maximum entropy and calibration - https://www.youtube.com/watch?v=i6d5QTmPXiw&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=19

  20. Variational Autoencoders (VAEs) - https://www.youtube.com/watch?v=-TPFg-RG-KY&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=20

  21. Evaluation Metrics - https://www.youtube.com/watch?v=Lb1-iNIOLBw&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=21

  22. Practical Tips and Course recaps - https://www.youtube.com/watch?v=OftHZYlrK-E&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=22

  23. Course recap and wrap up - [https://www.youtube.com/watch?v=-uzSvC5m60&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=23](https://www.youtube.com/watch?v=-uzSvC5m60&list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh&index=23)