> For the complete documentation index, see [llms.txt](https://wiki.aig123.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.aig123.com/ai-wiki/ji-qi-xue-xi-ke-cheng-shu-yu-biao.md).

# 机器学习课程术语表

本资源收录了机器学习课程用到的相关术语，涉及机器学习基础、机器学习理论、Applied Math、SVM、Ensemble、DNN、Regularization、Matrix Factorization、Optimization、CNN、 Auto Encoder、RNN、Representation、Network Embedding、GAN、Adversarial Learning、Online Learning、Reinforcement Learning、AutoML、Graphic Model、Topic Model、MCMC、Mean-Field、non-parametric models等。

**`项目源地址：`**[**`https://aminer.cn/ml_taxonomy`**](https://aminer.cn/ml_taxonomy)

{% embed url="<https://www.aminer.cn/ml_taxonomy>" %}


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# 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:

```
GET https://wiki.aig123.com/ai-wiki/ji-qi-xue-xi-ke-cheng-shu-yu-biao.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.