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What is this?
Pumpkin Book (南瓜书) is a companion study guide that fills in the derivation details Zhou Zhihua's 'Machine Learning' textbook (known as the Watermelon Book, 西瓜书) deliberately left out.
Pumpkin Book (南瓜书) is a companion study guide that fills in the derivation details Zhou Zhihua's 'Machine Learning' textbook (known as the Watermelon Book, 西瓜书) deliberately left out.Is this a standalone book or a reference for another book?It's a reference companion, not standalone: it's built on top of the Watermelon Book and assumes you're reading that one first, diving in only when a formula is confusing.
It's a reference companion, not standalone: it's built on top of the Watermelon Book and assumes you're reading that one first, diving in only when a formula is confusing.How is the content organized and how do I read it?It's organized as a VitePress-powered documentation site mirroring the Watermelon Book's chapters; you read the Watermelon Book as the main text and jump into this book's corresponding chapter whenever a formula needs explaining.
It's organized as a VitePress-powered documentation site mirroring the Watermelon Book's chapters; you read the Watermelon Book as the main text and jump into this book's corresponding chapter whenever a formula needs explaining.Do I need to own the Watermelon Book first?Yes, this book is not self-contained - it explains formulas from Zhou Zhihua's 'Machine Learning' (西瓜书, 2016 1st edition), so you need that book alongside it.
Yes, this book is not self-contained - it explains formulas from Zhou Zhihua's 'Machine Learning' (西瓜书, 2016 1st edition), so you need that book alongside it.Should beginners dig into every chapter?No, for chapters 1 and 2 of the Watermelon Book, beginners are advised to skim rather than fully derive the math, and come back later once more comfortable.
No, for chapters 1 and 2 of the Watermelon Book, beginners are advised to skim rather than fully derive the math, and come back later once more comfortable.Who is this written for?It targets readers with a solid undergraduate (sophomore-level) math background in STEM, aiming to help self-learners reach that level of comfort with the derivations.
It targets readers with a solid undergraduate (sophomore-level) math background in STEM, aiming to help self-learners reach that level of comfort with the derivations.Is there a physical print version?Yes, a print edition is published by People's Posts and Telecommunications Press and sold via JD, Dangdang and Tmall; it went through additional editing compared to the open-source draft.
Yes, a print edition is published by People's Posts and Telecommunications Press and sold via JD, Dangdang and Tmall; it went through additional editing compared to the open-source draft.Are there video tutorials to go with the book?The README mentions companion video tutorials and PDF downloads are provided, though specific links aren't included in the text.
The README mentions companion video tutorials and PDF downloads are provided, though specific links aren't included in the text.How can I report an error or request a missing formula explanation?You can open a GitHub Issue specifying the formula number or errata, and the team typically responds within 24 hours, with WeChat contact available as a backup.
You can open a GitHub Issue specifying the formula number or errata, and the team typically responds within 24 hours, with WeChat contact available as a backup.What are similar projects?Book-Mathematical-Foundation-of-Reinforcement-Learning, MathModel, 100-Days-Of-ML-Code, free-books, mml-book.github.io, Book4_Power-of-Matrix, Statistical-Learning-Method_Code, maths-cs-ai-compendium
Book-Mathematical-Foundation-of-Reinforcement-Learning, MathModel, 100-Days-Of-ML-Code, free-books, mml-book.github.io, Book4_Power-of-Matrix, Statistical-Learning-Method_Code, maths-cs-ai-compendiumWhich topics is it in?math, mathematics, academic, algorithms, data-science, book, reference, beginner-friendly, learning-resources, china, learning, tutorial
math, mathematics, academic, algorithms, data-science, book, reference, beginner-friendly, learning-resources, china, learning, tutorial