Lecture 9 - Approx/Estimation Error & ERM | Stanford CS229: Machine Learning (Autumn 2018)
1:20:41
Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
1:18:03
1. Introduction to Statistics
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Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:49:28
General Relativity Lecture 1
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Machine Learning course- Shai Ben-David: Lecture 2
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Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
1:09:58