> For the complete documentation index, see [llms.txt](https://blog.cweihang.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://blog.cweihang.io/ml/zzh_ml_notes/melon.md).

# 西瓜书概念整理

* 括号表示概念出现的其他页码
* 如有兴趣协同整理，请到[issue](https://github.com/ahangchen/windy-afternoon/issues/2)中认领章节
* 公式采用latex编辑，github不能直接渲染，请到[gitbook页](https://ahangchen.gitbooks.io/windy-afternoon/content/ml/melon/)浏览

整理by: [ahangchen](https://github.com/ahangchen), [luopengting](https://github.com/luopengting), [hscspring](https://github.com/hscspring)

## 概念列表

|                      o                      |   [绪论](/ml/zzh_ml_notes/melon/ch01.md)   |                     o                     |
| :-----------------------------------------: | :--------------------------------------: | :---------------------------------------: |
|  [模型评估与选择](/ml/zzh_ml_notes/melon/ch02.md)  |  [线性模型](/ml/zzh_ml_notes/melon/ch03.md)  |   [决策树](/ml/zzh_ml_notes/melon/ch04.md)   |
|    [神经网络](/ml/zzh_ml_notes/melon/ch05.md)   |  [支持向量机](/ml/zzh_ml_notes/melon/ch06.md) |  [贝叶斯分类器](/ml/zzh_ml_notes/melon/ch07.md) |
|    [集成学习](/ml/zzh_ml_notes/melon/ch08.md)   |   [聚类](/ml/zzh_ml_notes/melon/ch09.md)   | [降维与度量学习](/ml/zzh_ml_notes/melon/ch10.md) |
| [特征选择与稀疏学习](/ml/zzh_ml_notes/melon/ch11.md) | [计算学习理论](/ml/zzh_ml_notes/melon/ch12.md) |  [半监督学习](/ml/zzh_ml_notes/melon/ch13.md)  |
|   [概率图模型](/ml/zzh_ml_notes/melon/ch14.md)   |  [规则学习](/ml/zzh_ml_notes/melon/ch15.md)  |   [强化学习](/ml/zzh_ml_notes/melon/ch16.md)  |
|                      o                      |   [附录](/ml/zzh_ml_notes/melon/ch17.md)   |                     o                     |


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://blog.cweihang.io/ml/zzh_ml_notes/melon.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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