Summary of Notes | Stanford CS229 Machine Learning

foreword

This article is the study notes of Stanford University CS229 machine learning course

The main part of this article is reprinted from Dr. Huang Haiguang. The link is given at the end of the article . If you are interested, you can directly visit the homepage of the notes to download the corresponding course materials and homework codes.

Course official website: CS229: Machine Learning (stanford.edu)

Course Video: Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018) - YouTube

Summary of Notes: Summary of Notes | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog

course

all courses
Week 1 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 2 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 3 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 4 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 5 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 6 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 7 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 8 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 9 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog
Week 10 | Stanford CS229 Machine Learning_ReturnTmp's Blog-CSDN Blog

reference article

fengdu78/Coursera-ML-AndrewNg-Notes: Teacher Wu Enda's machine learning course personal notes (github.com) detailed version

bighuang624/Andrew-Ng-Machine-Learning-notes: Wu Enda's "Machine Learning" course notes (github.com) condensed version

recommended reading

Stanford CS229: Machine Learning - CS Self-Study Guide (csdiy.wiki)

ShowMeAI-Hub/awesome-AI-courses-notes-cheatsheets: knowledge point notes and cheat sheets (github.com)

Wu Enda's "Deep Learning" series of course notes (kyonhuang.top)

scruel/Notes-ML-AndrewNg: Coursera Wu Enda machine learning course notes and resource organization (github.com)