MyPersonalFeed

Por: Justin
.
32 episodios disponibles

Latest episodes of the podcast MyPersonalFeed

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