Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati) — 1d 19h 2m total, 23 videos

1×	1d 19h 1m 54s
1.25×	1d 10h 25m 31s
1.5×	1d 4h 41m 16s
1.75×	1d 35m 22s
2×	21h 30m 57s

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Videos (23)

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1	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 1 - Introduction and Linear Algebra	1:51:13	2021-04-13
2	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 2 - Matrix Calculus and Probability Theory	1:52:54	2021-04-13
3	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 3 - Probability and Statistics	1:52:39	2021-04-13
4	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 4 - Linear Regression	1:48:00	2021-04-13
5	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 5 - Perceptron and Logistic Regression	1:52:47	2021-04-13
6	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 6 - Exponential Family & GLM	1:54:50	2021-04-19
7	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 7 - GDA, Naive Bayes & Laplace Smoothing	1:53:44	2021-04-19
8	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 8 - Kernel Methods & Support Vector Machine	1:55:09	2021-04-13
9	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 9 - Bayesian Methods - Parametric & Non	1:51:12	2021-04-19
10	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 10 - Deep learning - I	1:56:51	2021-04-19
11	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 11 - Deep Learning - II	1:51:45	2021-04-19
12	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 12 - Bias and Variance & Regularization	1:55:40	2021-04-20
13	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 13-Statistical Learning Uniform Convergence	1:55:15	2021-04-20
14	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 14 - Reinforcement Learning - I	1:47:25	2021-04-20
15	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 15 - Reinforcement Learning - II	1:52:06	2021-04-20
16	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 16 - K-means, GMM, and EM	1:48:37	2021-04-20
17	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 17 - Factor Analysis & ELBO	1:52:10	2021-04-20
18	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 18 - Principal & Independent CA	1:53:09	2021-04-20
19	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 19 - Maximum Entropy and Calibration	1:52:44	2021-04-21
20	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 20 - Variational Autoencoder	1:52:36	2022-07-06
21	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 21 - Evaluation Metrics	1:46:57	2021-04-21
22	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 22 - Practical Tips and Course Recap	1:55:20	2021-04-21
23	Stanford CS229: Machine Learning \| Summer 2019 \| Lecture 23 - Course Recap and Wrap Up	1:48:51	2021-04-21

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