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By Justin

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Episodes: 32

Description

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Episode Date
01 - Stanford CS229: Machine Learning Course
Jul 13, 2022
02 - Linear Regression & Gradient Descent
Jul 13, 2022
03 - Locally Weighted & Logistic Regression
Jul 13, 2022
04 - Perceptron & Generalized Linear Model
Jul 13, 2022
05 - GDA & Naive Bayes
Jul 13, 2022
06 - Support Vector Machines
Jul 13, 2022
07 - Kernels
Jul 13, 2022
08 - Data Splits, Models & Cross-Validation
Jul 13, 2022
09 - Approx/Estimation Error & ERM
Jul 13, 2022
10 - Decision Trees & Ensemble Methods
Jul 13, 2022
11 - Introduction to Neural Networks
Jul 13, 2022
12 - Backprop & Improving Neural Networks
Jul 13, 2022
13 - Debugging ML Models & Error Analysis
Jul 13, 2022
14 - Expectation-Maximization Algorithms
Jul 13, 2022
15 - EM Algorithm & Factor Analysis
Jul 13, 2022
16 - Independent Component Analysis & RL
Jul 13, 2022
17 - MDPs & Value/Policy Iteration
Jul 13, 2022
18 - Continuous State MDP & Model Simulation
Jul 13, 2022
19 - Reward Model and Linear Dynamical Systems
Jul 13, 2022
20 - RL Debugging and Diagnostics
Jul 13, 2022
CS 229 - Lec. 12
Dec 06, 2019
CS 229 - Lec. 11
Dec 06, 2019
CS 229 - Lec. 10
Dec 06, 2019
CS 229 - Lec. 9
Dec 06, 2019
CS 229 - Lec. 8
Dec 06, 2019
CS 229 - Lec. 7
Dec 06, 2019
CS 229 - Lec. 6
Dec 06, 2019
CS 229 - Lec. 5
Dec 06, 2019
CS 229 - Lec. 1
Dec 06, 2019
CS229 - Lec. 2
Dec 05, 2019
CS229 - Lec. 4
Dec 05, 2019
CS229 - Lec. 3
Dec 05, 2019