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Mathematics for Machine Learning
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Mathematics for Machine Learning
English
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Playlist (20 of 20 videos)
Playlist (20 of 20 videos)
1
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
1:15:20
2
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
1:18:17
3
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
1:19:34
4
Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)
1:22:02
5
Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:18:52
6
Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:20:57
7
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:20:25
8
Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)
1:23:26
9
Lecture 9 - Approx/Estimation Error & ERM | Stanford CS229: Machine Learning (Autumn 2018)
1:26:03
10
Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
1:20:41
11
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
1:20:14
12
Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
1:16:38
13
Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
1:18:55
14
Lecture 14 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
1:20:31
15
Lecture 15 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
1:19:48
16
Lecture 16 - Independent Component Analysis & RL | Stanford CS229: Machine Learning (Autumn 2018)
1:18:10
17
Lecture 17 - MDPs & Value/Policy Iteration | Stanford CS229: Machine Learning Andrew Ng (Autumn2018)
1:19:14
18
Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)
1:20:15
19
Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)
1:21:07
20
RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)
1:12:43
