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44:28Machine Learning Lecture 8 "Estimating Probabilities from Data: Naive Bayes" -Cornell CS4780 SP17Kilian Weinberger56.1K viewsView & Download
47:02Machine Learning Lecture 20 "Model Selection / Regularization / Overfitting" -Cornell CS4780 SP17Kilian Weinberger25.1K viewsView & Download
1:26:03Discussion Section: Learning Theory | Stanford CS229: Machine Learning (Autumn 2018)Stanford Online121.2K viewsView & Download
1:29:41Lecture 20 - Introduction to Machine Learning (ETH Zürich, Spring 2018)S K366 viewsView & Download
1:18:35Lecture 15 - PCA and ICA | Stanford CS229: Machine Learning Andrew Ng - Autumn 2018Stanford Online9.6K viewsView & Download
1:20:15Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)Stanford Online63.4K viewsView & Download
1:21:07Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)Stanford Online80.7K viewsView & Download
1:23:26Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)Stanford Online179.3K viewsView & Download
1:19:34Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)Stanford Online869.8K viewsView & Download