# 机器学习

* [返回顶层目录](https://github.com/luweikxy/machine-learning-notes/tree/123475954b5254a8109117f87d962d5037609eec/SUMMARY.md)
* [机器学习概论](https://github.com/luweikxy/machine-learning-notes/tree/123475954b5254a8109117f87d962d5037609eec/content/machine-learning/-introduction/machine-learning-introduction.md)
* [特征工程](/machine-learning-notes/feature-engineering.md)
* [感知机](/machine-learning-notes/perceptron.md)
* [k近邻](/machine-learning-notes/k-nearest-neighbor.md)
* [朴素贝叶斯](/machine-learning-notes/naive-bayes.md)
* [线性模型](/machine-learning-notes/linear-model.md)
* [决策树](/machine-learning-notes/decision-tree.md)
* [支持向量机](/machine-learning-notes/support-vector-machine.md)
* [集成学习](/machine-learning-notes/ensemble-learning.md)
* [降维](/machine-learning-notes/dimensionality-reduction.md)
* [EM算法](/machine-learning-notes/expectation-maximization-algorithm.md)
* [HMM隐马尔科夫模型](/machine-learning-notes/hidden-markov-model.md)
* [CRF条件随机场](/machine-learning-notes/conditional-random-field.md)
* [聚类](/machine-learning-notes/clustering.md)
* [主题模型](/machine-learning-notes/topic-model.md)
* [知识点](/machine-learning-notes/tips.md)
* [机器学习算法总结](/machine-learning-notes/machine-learning-algorithm-summary.md)


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# Agent Instructions: 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:

```
GET https://luweikxy.gitbook.io/machine-learning-notes/machine-learning.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.