Vay-keen/Machine-learning-learning-notes resource
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！ observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3084
- days_rel: n/a
- days_push: 1649
- n_releases_24m: 0
Adoption not part of the score
7764 stars · 1880 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A set of Chinese-language study notes for Zhou Zhihua's machine learning textbook (the 'Watermelon Book'), covering supervised, unsupervised, semi-supervised, and reinforcement learning, ensemble methods, dimensionality reduction, and feature selection. It supplements the book with the author's explanations and extended knowledge points to help newcomers.
Use cases
- study the watermelon book machine learning textbook
- learn machine learning algorithms from scratch
- understand supervised and unsupervised learning concepts
- find supplementary explanations for Zhou Zhihua's ML book
- prepare for machine learning interviews
- review statistical learning methods alongside Li Hang's book
When to choose
- you are reading the Watermelon Book and want companion notes in Chinese
- you are a beginner wanting structured explanations of classic ML algorithms
- you want free community-maintained study material with a discussion group
When to avoid
- you need runnable code or production ML tooling
- you prefer English-language learning resources
- you need up-to-date content on deep learning or LLMs
Facets
learning-resource · maturity maintenance
machine-learning nlp data-science machine-learning tutorials data-science cross-platform study-notes watermelon-book chinese-language machine-learning-algorithms textbook-companion
1 source
- readme: https://github.com/Vay-keen/Machine-learning-learning-notes · fetched 2026-08-28 · 8aba2c8f757b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Vay-keen/Machine-learning-learning-notes | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Vay-keen/Machine-learning-learning-notes")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem