---
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]]

