Chinese cram notes for AI campus recruiting interviews

What it does This repository collects Chinese-language interview notes for campus recruiting in algorithm engineering roles. It bundles together machine learning, deep learning, NLP, computer vision, math, classic algorithms, and C/C++ fundamentals into topical markdown files. The content is drawn from real interview experiences and study materials rather than being a generic textbook rewrite.

The interesting bit The project treats the AI interview as a comprehensive oral exam that spans word vectors, RNNs, dynamic programming, and C++ lvalue semantics all at once. Readers are invited to crowdsource the guide by opening issues with new questions they encountered, making it a living snapshot of what Chinese tech companies actually ask.

Key highlights

• Covers ML algorithms, DL basics, CNNs, RNNs, sequence modeling, NLP word vectors (Word2Vec, GloVe, FastText), math, and C/C++ fundamentals
• Includes written test and interview experience notes (笔试面经) from actual recruiting cycles
• Explicitly scoped to algorithm roles: no frontend, testing, Java, or Android content
• Open to community contributions via GitHub issues with new interview questions
• References foundational materials like the “Deep Learning” book and related Chinese interview repositories

Caveats

• The Python section is marked TODO, leaving language coverage incomplete
• The author warns that document structure changes frequently and links may break
• All content is in Chinese, so it is of limited use if you do not read the language

Verdict Bookmark this if you are a Chinese-speaking candidate preparing for campus recruiting in AI or algorithm engineering. Look elsewhere if you need hands-on code implementations or English-language material.