yuanxiaosc/Machine-Learning-Book resource

Health v2 · maintenance only

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Adoption not part of the score

1160 stars · 277 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Chinese-language curated collection of machine learning learning materials, including the Google Machine Learning Crash Course, a terminology glossary, ML best-practice rules, illustrated concept summaries, and a list of common ML questions. It is aimed at machine learning and deep learning researchers and hobbyists as a reference for self-study.

Use cases

• learn machine learning fundamentals from scratch
• study the Google Machine Learning Crash Course with TensorFlow code examples
• review machine learning terminology and definitions
• prepare for machine learning interviews with common conceptual questions
• understand bias-variance tradeoff and evaluation metrics like ROC and AUC
• find illustrated explanations of machine learning concepts

When to choose

• you want a free, curated Chinese-language ML study path from beginner to intermediate
• you prefer PDF/illustrated materials and structured course notes over scattered tutorials
• you want to self-test with common ML conceptual questions and evaluation metric summaries

When to avoid

• you need up-to-date content or active community support, since the repo has not been updated since 2020
• you need English-language materials only
• you need a runnable software library or production codebase rather than study documents

Facets

learning-resource · maturity maintenance

machine-learning deep-learning documentation machine-learning deep-learning tutorials education cross-platform chinese-language study-notes google-machine-learning-crash-course pdf-resources jupyter-notebook glossary

Member repositories

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markdown · JSON · MCP: product_card(name="yuanxiaosc/Machine-Learning-Book")