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--- title: "CS 229: Machine Learning" type: course-overview source-count: 17 status: active confidence: high --- # CS 229: Machine Learning Stanford course with 17 lecture notes. ## Lecture Timeline - **2015-10-13** — [SU-CS229 OCT132025](../raw/course/cs229/kbhsu_cs229_oct131015.md) - **2024-01-06** — [SU-CS229 JAN062025](../raw/course/cs229/kbhsu_cs229_jan062024.md) - **2025-01-08** — [SU-CS229 JAN082025](../raw/course/cs229/kbhsu_cs229_jan082025.md) - **2025-09-22** — [SU-CS229 SEP222025](../raw/course/cs229/kbhsu_cs229_sep222025.md) - **2025-09-24** — [SU-CS229 SEP242025](../raw/course/cs229/kbhsu_cs229_sep242025.md) - **2025-09-29** — [SU-CS229 SEP292025](../raw/course/cs229/kbhsu_cs229_sep292025.md) - **2025-10-01** — [SU-CS229 OCT012025](../raw/course/cs229/kbhsu_cs229_oct012025.md) - **2025-10-06** — [SU-CS229 OCT062025](../raw/course/cs229/kbhsu_cs229_oct062025.md) - **2025-10-07** — [SU-CS229 OCT272025](../raw/course/cs229/kbhsu_cs229_oct072025.md) - **2025-10-08** — [SU-CS229 OCT082025](../raw/course/cs229/kbhsu_cs229_oct082025.md) - **2025-10-15** — [SU-CS229 OCT152025](../raw/course/cs229/kbhsu_cs229_oct152025.md) - **2025-10-20** — [SU-CS229 OCT202025](../raw/course/cs229/kbhsu_cs229_oct202025.md) - **2025-10-22** — [SU-CS229 OCT222025](../raw/course/cs229/kbhsu_cs229_oct222025.md) - **2025-10-29** — [SU-CS229 OCT292025](../raw/course/cs229/kbhsu_cs229_oct292025.md) - **2025-11-06** — [SU-CS229 NOV062025](../raw/course/cs229/kbhsu_cs229_nov062025.md) - **2025-11-10** — [SU-CS229 NOV102025](../raw/course/cs229/kbhsu_cs229_nov102025.md) - **2025-11-12** — [SU-CS229 NOV122025](../raw/course/cs229/kbhsu_cs229_nov122025.md) ## Key Topics Referenced - [[Bayes Theorem]] - [[Bias Variance Tradeoff]] - [[Boosting]] - [[Continuous State Mdp]] - [[Cost Function]] - [[Decision Tree]] - [[Expectation Maximization]] - [[Exponential Family]] - [[Gaussian Mixture Model]] - [[Generalized Linear Models]] - [[Generative Learning Algorithm]] - [[Gradient Descent]] - [[House Price Prediction]] - [[K Means Clustering]] - [[Kernel Trick]] - [[Language Model]] - [[Least Squares Error]] - [[Linear Predictor]] - [[Linear Regression]] - [[Logistic Regression]] - [[Machine Learning]] - [[Machine Learning Evaluation]] - [[Markov Decision Process]] - [[Model Evaluation]] - [[Model Selection]] - [[Naive Bayes]] - [[Neural Network]] - [[Newton S Method]] - [[Nonlinear Linear Regression]] - [[Normal Equation]]