wangyuGithub01/Machine_Learning_Resources resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1241 stars · 180 forks observed · 2026-08-28

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

A curated collection of links and notes for reviewing machine learning concepts for technical interviews, originally written in Chinese. It organizes resources by topic including feature engineering, algorithm fundamentals, evaluation metrics, optimization, and deep learning.

Use cases

• prepare for a machine learning interview
• review feature engineering concepts before an interview
• find explanations of loss functions and regularization
• study deep learning interview questions like batch normalization and transformers
• brush up on optimization algorithms like gradient descent and Newton's method
• find curated reading material on ML evaluation metrics like AUC and ROC

When to choose

• you are preparing for ML engineer or data scientist interviews and want a topic-organized link collection
• you want quick references to well-written Chinese-language blog posts and articles on ML fundamentals
• you need a checklist of interview topics from feature engineering to deep learning

When to avoid

• you want runnable code, tutorials with exercises, or a structured course rather than a link list
• you need beginner-level introductions to basic algorithms like LR and SVM, which the repo explicitly excludes
• you require English-only resources

Facets

learning-resource · maturity maintenance

machine-learning developer-tools documentation machine-learning tutorials awesome-lists education cross-platform interview-preparation curated-links machine-learning-interview study-guide chinese-language

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markdown · JSON · MCP: product_card(name="wangyuGithub01/Machine_Learning_Resources")