Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:20:57
Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:18:17
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
1:49:28
General Relativity Lecture 1
1:19:34
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
1:18:55
Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
1:15:20
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
1:46:55
Lecture 1 | String Theory and M-Theory
1:20:25