Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Lecture 1 | Machine Learning (Stanford)
1:08:40
Lecture 1 | Machine Learning (Stanford)
2.6M viewsJul 23, 2008
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Lecture 15 - PCA and ICA | Stanford CS229: Machine Learning Andrew Ng - Autumn 2018
1:18:35
Lecture 15 - PCA and ICA | Stanford CS229: Machine Learning Andrew Ng - Autumn 2018
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Lecture 10 | Machine Learning (Stanford)
1:12:56
Lecture 10 | Machine Learning (Stanford)
106.5K viewsJul 23, 2008
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Lecture 2 | Machine Learning (Stanford)
1:16:16
Lecture 2 | Machine Learning (Stanford)
847.7K viewsJul 23, 2008
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Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:20:57
Lecture 6 - Support Vector Machines | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
341.9K viewsApr 17, 2020
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Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
1:19:34
Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
839.4K viewsApr 17, 2020
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Lecture 16 - Independent Component Analysis & RL | Stanford CS229: Machine Learning (Autumn 2018)
1:18:10
Lecture 16 - Independent Component Analysis & RL | Stanford CS229: Machine Learning (Autumn 2018)
94.6K viewsApr 17, 2020
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Lecture 17 - MDPs & Value/Policy Iteration | Stanford CS229: Machine Learning Andrew Ng (Autumn2018)
1:19:14
Lecture 17 - MDPs & Value/Policy Iteration | Stanford CS229: Machine Learning Andrew Ng (Autumn2018)
113.5K viewsApr 17, 2020
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Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
1:19:48
Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
91.7K viewsApr 17, 2020
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Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:18:52
Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
391.6K viewsApr 17, 2020
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Lecture 4 | Machine Learning (Stanford)
1:13:07
Lecture 4 | Machine Learning (Stanford)
328K viewsJul 23, 2008
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RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)
1:12:43
RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)
79.4K viewsApr 17, 2020
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Lecture 5 | Machine Learning (Stanford)
1:15:31
Lecture 5 | Machine Learning (Stanford)
261.3K viewsJul 23, 2008
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Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
1:20:25
Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
250.8K viewsApr 17, 2020
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Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)
1:21:07
Lecture 19 - Reward Model & Linear Dynamical System | Stanford CS229: Machine Learning (Autumn 2018)
77.4K viewsApr 17, 2020
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Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
1:18:17
Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)
1.9M viewsApr 17, 2020
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Lecture 12 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
1:18:55
Lecture 12 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
115.2K viewsApr 17, 2020
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Lecture 7 | Machine Learning (Stanford)
1:15:45
Lecture 7 | Machine Learning (Stanford)
183.4K viewsJul 23, 2008
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Lecture 13 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
1:20:31
Lecture 13 - Expectation-Maximization Algorithms | Stanford CS229: Machine Learning (Autumn 2018)
195.7K viewsApr 17, 2020
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Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)
1:23:26
Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)
173.3K viewsApr 17, 2020
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Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)
1:20:15
Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)
61.2K viewsApr 17, 2020
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Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 1
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Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 1
366.8K viewsAug 1, 2023
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap
1:55:20
Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap
12.4K viewsApr 21, 2021
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Lecture 11 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
1:16:38
Lecture 11 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
124.3K viewsApr 17, 2020
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra
1:51:13
Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Introduction and Linear Algebra
280.6K viewsApr 13, 2021
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Stanford CS229M - Lecture 1: Overview, supervised learning, empirical risk minimization
1:04:08
Stanford CS229M - Lecture 1: Overview, supervised learning, empirical risk minimization
50.1K viewsNov 11, 2022
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Stanford CS229: Machine Learning | Summer 2019 | Lecture 14 - Reinforcement Learning - I
1:47:25
Stanford CS229: Machine Learning | Summer 2019 | Lecture 14 - Reinforcement Learning - I
13.4K viewsApr 20, 2021
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Lecture 9 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
1:20:41
Lecture 9 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
240.6K viewsApr 17, 2020
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