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01 - Stanford CS229: Machine Learning Course

Play Episode Listen Later Jul 13, 2022 75:19


01 - Stanford CS229: Machine Learning Course

stanford machine learning
02 - Linear Regression & Gradient Descent

Play Episode Listen Later Jul 13, 2022 78:16


02 - Linear Regression & Gradient Descent

descent gradient linear regression
03 - Locally Weighted & Logistic Regression

Play Episode Listen Later Jul 13, 2022 79:34


03 - Locally Weighted & Logistic Regression

locally weighted logistic regression
04 - Perceptron & Generalized Linear Model

Play Episode Listen Later Jul 13, 2022 82:01


04 - Perceptron & Generalized Linear Model

model linear generalized perceptron
05 - GDA & Naive Bayes

Play Episode Listen Later Jul 13, 2022 78:51


05 - GDA & Naive Bayes

gda naive bayes
06 - Support Vector Machines

Play Episode Listen Later Jul 13, 2022 80:56


06 - Support Vector Machines

machines vector
07 - Kernels

Play Episode Listen Later Jul 13, 2022 80:24


07 - Kernels

kernels
08 - Data Splits, Models & Cross-Validation

Play Episode Listen Later Jul 13, 2022 83:25


08 - Data Splits, Models & Cross-Validation

cross data models validation splits
09 - Approx/Estimation Error & ERM

Play Episode Listen Later Jul 13, 2022 86:02


09 - Approx/Estimation Error & ERM

error erm estimation approx
10 - Decision Trees & Ensemble Methods

Play Episode Listen Later Jul 13, 2022 80:40


10 - Decision Trees & Ensemble Methods

methods ensemble decision trees
11 - Introduction to Neural Networks

Play Episode Listen Later Jul 13, 2022 80:13


11 - Introduction to Neural Networks

neural networks
12 - Backprop & Improving Neural Networks

Play Episode Listen Later Jul 13, 2022 76:37


12 - Backprop & Improving Neural Networks

improving neural networks
13 - Debugging ML Models & Error Analysis

Play Episode Listen Later Jul 13, 2022 78:54


13 - Debugging ML Models & Error Analysis

models error debugging
14 - Expectation-Maximization Algorithms

Play Episode Listen Later Jul 13, 2022 80:30


14 - Expectation-Maximization Algorithms

algorithms expectation maximization
15 - EM Algorithm & Factor Analysis

Play Episode Listen Later Jul 13, 2022 79:47


15 - EM Algorithm & Factor Analysis

algorithms factor analysis
16 - Independent Component Analysis & RL

Play Episode Listen Later Jul 13, 2022 78:09


16 - Independent Component Analysis & RL

independent component rl
17 - MDPs & Value/Policy Iteration

Play Episode Listen Later Jul 13, 2022 79:13


17 - MDPs & Value/Policy Iteration

policy iteration mdps
18 - Continuous State MDP & Model Simulation

Play Episode Listen Later Jul 13, 2022 80:14


18 - Continuous State MDP & Model Simulation

model simulation continuous
19 - Reward Model and Linear Dynamical Systems

Play Episode Listen Later Jul 13, 2022 81:06


19 - Reward Model and Linear Dynamical Systems

model reward linear dynamical systems
20 - RL Debugging and Diagnostics

Play Episode Listen Later Jul 13, 2022 72:42


20 - RL Debugging and Diagnostics

diagnostics debugging
CS 229 - Lec. 12

Play Episode Listen Later Dec 6, 2019 74:22


CS 229 - Lec. 12

cs lec
CS 229 - Lec. 11

Play Episode Listen Later Dec 6, 2019 82:18


CS 229 - Lec. 11

cs lec
CS 229 - Lec. 10

Play Episode Listen Later Dec 6, 2019 72:55


CS 229 - Lec. 10

cs lec
CS 229 - Lec. 9

Play Episode Listen Later Dec 6, 2019 74:18


CS 229 - Lec. 9

cs lec
CS 229 - Lec. 8

Play Episode Listen Later Dec 6, 2019 77:18


CS 229 - Lec. 8

cs lec
CS 229 - Lec. 7

Play Episode Listen Later Dec 6, 2019 75:44


CS 229 - Lec. 7

cs lec
CS 229 - Lec. 6

Play Episode Listen Later Dec 6, 2019 73:08


CS 229 - Lec. 6

cs lec
CS 229 - Lec. 5

Play Episode Listen Later Dec 6, 2019 75:30


CS 229 - Lec. 5

cs lec
CS 229 - Lec. 1

Play Episode Listen Later Dec 6, 2019 68:39


CS 229 - Lec. 1

cs lec
CS229 - Lec. 2

Play Episode Listen Later Dec 5, 2019 76:15


CS229 - Lec. 2

CS229 - Lec. 4

Play Episode Listen Later Dec 5, 2019 73:06


CS229 - Lec. 4

CS229 - Lec. 3

Play Episode Listen Later Dec 4, 2019 73:13


CS229 - Lec. 3

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