datawhalechina/key-book
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
This companion guide helps students and researchers navigate the advanced theoretical concepts in "An Introduction to Theoretical Machine Learning." It takes the core concepts and proofs from the textbook and provides clearer explanations, fills in missing derivations, and adds practical examples. Anyone studying machine learning theory or looking to deepen their understanding of its mathematical foundations will find this invaluable.
1,672 stars. Actively maintained with 11 commits in the last 30 days.
Use this if you are studying the textbook "An Introduction to Theoretical Machine Learning" and need clearer explanations, additional proof steps, or practical examples to grasp complex theoretical concepts.
Not ideal if you are looking for an introductory guide to practical machine learning applications or a textbook on the basics of machine learning algorithms.
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Feb 13, 2026
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