What it does ApacheCN’s AiLearning is a curated study guide and code companion built around the book Machine Learning in Action. It walks through classic algorithms—KNN, decision trees, SVM, AdaBoost, Apriori, PCA, SVD—chapter by chapter, with runnable Python and accompanying video lectures on Bilibili, Youku, and AcFun. The project also branches into deep learning (PyTorch, TensorFlow 2.0) and NLP, though those sections are marked as works in progress.

The interesting bit The maintainers explicitly target programmers who “glaze over at mysterious math derivations.” Their pitch: turn intimidating theory into “addition, subtraction, multiplication, division, and loops.” It’s a deliberately anti-academic stance in a field that usually worships formalism. The repo also tracks per-chapter maintainers by GitHub handle and QQ number—an oddly transparent, almost open-source-kibbutz approach to community management.

Key highlights

• 16 chapters of ML fundamentals with assigned maintainers and direct video links
• Dual video tracks: a “teaching edition” for theory, a “discussion edition” with line-by-line code walkthroughs
• Curated external resources: Khan Academy math, Andrew Ng courses, plus a separate data repo with Baidu Pan downloads
• TensorFlow 2.0 section includes four hands-on projects (sentiment classification, poetry generation, overfitting/underfitting)
• CC BY-NC-SA 4.0 license—non-commercial, share-alike

Caveats

• Python 2.7 is the officially supported version for the ML basics section; Python 3.6+ support is partial or marked with an X
• Deep learning and PyTorch sections are labeled “待更新” (pending update)
• README contains broken image links and truncated text, suggesting maintenance has slowed
• Heavy reliance on Chinese video platforms and QQ group chat for community support

Verdict Worth bookmarking if you’re a Chinese-speaking developer who learns by debugging code, not deriving gradients. Skip it if you want rigorous theory, modern Python 3 tooling, or a polished, actively maintained curriculum.