Is Machine-learning-learning-notes open source?

Yes — Vay-keen/Machine-learning-learning-notes is an open-source project tracked on heatdrop.

How popular is Machine-learning-learning-notes?

Vay-keen/Machine-learning-learning-notes has 7.7k stars on GitHub.

Where can I find Machine-learning-learning-notes?

Vay-keen/Machine-learning-learning-notes is on GitHub at https://github.com/Vay-keen/Machine-learning-learning-notes.

Vay-keen/Machine-learning-learning-notes

Chewing through the Watermelon Book, with notes

These study notes help Chinese learners digest Zhou Zhihua’s comprehensive machine-learning textbook by layering in context from classic blogs and statistical-learning texts.

★7.7k stars Learning

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What it does

This repository holds personal study notes for Zhou Zhihua’s Machine Learning—the Chinese textbook widely known as the “Watermelon Book.” The author walks through algorithm families including supervised, unsupervised, semi-supervised, and reinforcement learning, plus ensemble methods, dimensionality reduction, and feature selection. Extra context from classic Chinese ML blogs and Li Hang’s Statistical Learning is layered in to help newcomers follow the textbook’s reasoning.

The interesting bit

With more than 7,700 stars, the repo has become a popular companion for a widely used Chinese ML textbook. The author also runs a QQ study group and openly credits the external blogs and texts that shaped their understanding, turning a solo reading exercise into a small community effort.

Key highlights

Covers the Watermelon Book end-to-end: supervised, unsupervised, semi-supervised, and reinforcement learning, plus ensembles, dimensionality reduction, and feature selection.
Supplements the textbook with explanations drawn from well-known Chinese ML blogs and Li Hang’s Statistical Learning.
Authored by an engineer currently working on big data, machine learning, and recommendations at Tencent WeChat.
Includes a QQ discussion group (531701485) for questions and extra resource sharing.
Entirely Chinese-language prose, matching the textbook it supports.

Caveats

This is reading companion material, not a coding repo; expect prose and study tips rather than runnable examples or notebooks.
All content is written in Chinese, so it is inaccessible if you do not read the language.

Verdict

If you are a Chinese-speaking developer or student working through the Watermelon Book, this is a high-signal companion. If you need hands-on code or an English-language curriculum, look elsewhere.

Frequently asked

What is Vay-keen/Machine-learning-learning-notes?: These study notes help Chinese learners digest Zhou Zhihua’s comprehensive machine-learning textbook by layering in context from classic blogs and statistical-learning texts.
Is Machine-learning-learning-notes open source?: Yes — Vay-keen/Machine-learning-learning-notes is an open-source project tracked on heatdrop.
How popular is Machine-learning-learning-notes?: Vay-keen/Machine-learning-learning-notes has 7.7k stars on GitHub.
Where can I find Machine-learning-learning-notes?: Vay-keen/Machine-learning-learning-notes is on GitHub at https://github.com/Vay-keen/Machine-learning-learning-notes.