datawhalechina/pumpkin-book
南瓜书:《机器学习》(西瓜书)公式详解
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
南瓜书(pumpkin-book) “周志华老师的《机器学习》(西瓜书)是机器学习领域的经典入门教材之一,周老师为了使尽可能多的读者通过西瓜书对机器学习有所了解, 所以在书中对部分公式的推导细节没有详述,但是这对那些想深究公式推导细节的读者来说可能“不太友好”,本书旨在对西瓜书里比较难理解的公式加以解析,以及对部分公式补充具体的推导细节。” 读到这里,大家可能会疑问为啥前面这段话加了引号,因为这只是我们最初的遐想,后来我们了解到,周老师之所以省去这些推导细节的真实原因是,他本尊认为“理工科数学基础扎实点的大二下学生应该对西瓜书中的推导细节无困难吧,要点在书里都有了,略去的细节应能脑补或做练习”。所以......本南瓜书只能算是我等数学渣渣在自学的时候记下来的笔记,希望能够帮助大家都成为一名合格的“理工科数学基础扎实点的大二下学生”。 视频教程:https://www.bilibili.com/video/BV1Mh411e7VU PDF版本下载:https://github.com/datawhalechina/pumpkin-book/releases 组队学习:https://www.datawhale.cn/learn/summary/2 购买链接:京东 | 当当 | 天猫 勘误表:https://datawhalechina.github.io/pumpkin-book/#/errata 开源版本是我们寄送出版社的全书初稿,经由人民邮电出版社的编辑老师们对初稿进行了反复修缮最终诞生了纸质书籍,在此向人民邮电出版社的编辑老师的认真严谨表示衷心的感谢!(附:校对样稿) 版次:2016年1月第1版 勘误表:http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/MLbook2016.htm…
Read the full README ↗ · Preview checked 2026-10-27T03:18:20.455Z
Inside the original README — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: Other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
南瓜书:《机器学习》(西瓜书)公式详解
Repository facts
- Owner
- datawhalechina
- Primary language
- Not reported
- Stars
- 26,148
- Forks
- 4,783
- Open issues + pull requests
- 9
- License
- Other
- Archived
- No
- Default branch
- master
- Created
- 2018-12-22T05:05:24.000Z
- Last push
- 2026-04-22T20:35:48.000Z
Topics and intended use
Owner-supplied topics: book, machine-learning, pumpkin-book
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T12:19:22.904Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.