Classic courses, authoritative textbooks and mainstream frameworks · 10 resources (10 checked)
Google · Machine Learning
Google's machine learning crash course with videos, lectures, and interactive exercises, spanning linear regression to neural networks and representation learning.
台湾大学 李宏毅 · Machine Learning
A Chinese-language machine learning course by NTU professor Hung-yi Lee, known for its humorous style and comprehensive coverage, updated every year. Full re-uploads are on Bilibili.
斯坦福大学 · Machine Learning
Stanford's classic machine learning course, taught for years by Andrew Ng, covering supervised and unsupervised learning with theory. All lecture notes and videos are public.
scikit-learn 社区 · Machine Learning
The official user guide for the classic machine learning library, with clear algorithm explanations and complete examples. The best docs for learning traditional ML.
Aurélien Géron · Machine Learning
The open-source code repository for the classic ML textbook, covering full workflows with Scikit-Learn, Keras, and TensorFlow. Best used alongside the book.
DeepLearning.AI · Machine Learning
Andrew Ng's classic machine learning specialization on Coursera, with a long-standing reputation, covering regression, classification, and clustering. Free to audit.
Gareth James 等 · Machine Learning
The official site of the ISL/ISLP textbooks, with free PDF downloads — one of the most beginner-friendly authoritative books in statistical learning.
Kevin Murphy · Machine Learning
Kevin Murphy's authoritative two-volume work, with a free online reading version covering probabilistic machine learning from fundamentals to the frontier.
OpenML · Machine Learning
An open scientific data platform pooling vast datasets, experiment pipelines, and results, making it easy to reproduce papers and compare model performance.
MIT · Machine Learning
An introduction to machine learning from MIT OpenCourseWare, with solid content and complete assignments — free to self-study.