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amusi/Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
A Chinese-language interview prep book covering the breadth of ML/DL topics: math, classical ML, deep learning, CV, NLP, SLAM, and recommender systems. Aimed at Chinese developers interviewing for AI algorithm positions at tech companies. The star count reflects genuine demand in that market.
Covers an unusually wide range of topics under one roof — from linear algebra through SLAM — which is useful for breadth-first interview prep. The mindmap image gives a decent visual overview of how topics connect. Organized as discrete Markdown files per topic, so you can read only what you need without wading through everything.
The README is partly a sales funnel for a paid WeChat group (¥149/year), which is a red flag about where the author's incentives actually sit. Last meaningful push was April 2024, so anything post-2023 in fast-moving areas like LLMs is missing. The content is entirely in Chinese with no English fallback, which limits its audience sharply. No exercises, no code samples — it's a list of questions and answers, not a way to actually build understanding.