1:20:41

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

1:23:26

Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)

1:49:28

General Relativity Lecture 1

1:20:31

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

1:18:17

Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)

1:19:34

Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)

1:15:20

Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

1:47:39

Statistical Mechanics Lecture 1