Introduction to Machine Learning by J. Deng and R. Fong and V. Ramaswamy

Lecture notes: https://t.co/VkXnJIX29J https://t.co/h2lc3cSwhi

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https://princeton-introml.github.io/#cos-324—introduction-to-machine-learningCOS 324 - Introduction to Machine Learning

Princeton University, Fall 2022

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This website contains the course notes for COS 324 - Introduction to Machine Learning at Princeton University. The notes were prepared by professors Sanjeev Arora, Danqi Chen and undergraduates Simon Park, and Dennis Jacob.

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Last Updated: September 07, 2024

https://princeton-introml.github.io/#errataErrata

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https://princeton-introml.github.io/#full-versionFull Version

Introduction to Machine Learning

https://princeton-introml.github.io/#individual-chaptersIndividual Chapters

https://princeton-introml.github.io/#1-supervised-learning1. Supervised Learning

https://princeton-introml.github.io/#2-unsupervised-learning2. Unsupervised Learning

https://princeton-introml.github.io/#3-deep-learning3. Deep Learning

https://princeton-introml.github.io/#4-reinforcement-learning4. Reinforcement Learning

https://princeton-introml.github.io/#5-advanced-topics5. Advanced Topics

https://princeton-introml.github.io/#6-mathematics-for-machine-learning6. Mathematics for Machine Learning

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