214 Pages of Handwritten Math for China's 'Watermelon Book'

What it does This repository hosts 214 pages of scanned, handwritten study notes covering all sixteen chapters of Zhou Zhihua’s Machine Learning—the Chinese textbook colloquially called the “Watermelon Book.” The pages are formatted for A4 printing and walk through derivations for topics from linear models and SVMs to reinforcement learning and probabilistic graphical models. There is no code, no datasets, and no executable content; it is purely a visual study aid organized by chapter in markdown tables.

The interesting bit The project uses GitHub as a document scanner, displaying page-by-page photographs of pen-and-paper derivations inside markdown tables. The complete PDF is not in the repo; instead, readers must message a WeChat public account with a keyword to receive a Baidu Netdisk link—a charmingly offline distribution loop for an online platform.

Key highlights

• Full coverage of all 16 chapters, from introductory concepts to computational learning theory
• 214 printable A4 pages of handwritten formula derivations
• Authored by a 985 AI PhD and CSDN blog expert
• Completed as of March 2021
• Companion deep-learning notes are planned in a separate repository

Caveats

• Content and distribution instructions are entirely in Chinese
• No source code or interactive notebooks; this is reference material only
• Last updated in March 2021, so it does not reflect post-2021 developments

Verdict Worth bookmarking if you are a Chinese-speaking student working through the Watermelon Book’s proofs and want to see how another researcher derived the math. Look elsewhere if you need implementations, English translations, or coverage of newer methods.