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machine learning
Folder: courses/machine-learning
20 items under this folder.
Nov 20, 2025
Introduction
Nov 20, 2025
Linear Regression and Gradient Descent
Nov 20, 2025
Locally Weighted and Logicistic Regression
Nov 20, 2025
Perceptron & Generalized Linear Model
Nov 20, 2025
GDA & Naive Bayes
Nov 20, 2025
Kernels
Nov 20, 2025
Support Vector Machines
Nov 20, 2025
Introduction to Neural Networks
Nov 20, 2025
Back Propagation and Improving Neural Networks
Nov 20, 2025
Approximation, Estimation Error & ERM
Nov 20, 2025
Data Splits, Models & Cross Validation
Nov 20, 2025
Debugging and Diagnostics
Nov 20, 2025
Debugging ML Models and Error Analysis
Nov 20, 2025
Decision Trees and Ensemble Methods
Nov 20, 2025
Expectation Maximization Algorithms
Nov 20, 2025
EM Algorithm & Factor Analysis
Nov 20, 2025
Independent Component Analysis and Reinforcement Learning
Nov 20, 2025
MDPs & Model Simulation
Nov 20, 2025
MDPs & Value/Policy Iteration
Nov 20, 2025
Reward Model and Linear Dynamical System