1:26:03

Lecture 9 - Approx/Estimation Error & ERM | Stanford CS229: Machine Learning (Autumn 2018)

1:20:14

Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

1:20:41

Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)

1:18:52

Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

1:20:15

Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)

1:20:25

Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

1:49:28

General Relativity Lecture 1

1:20:31

Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)