docs: make Chinese README the default

README.md

@@ -1,35 +1,41 @@
-# Machine Learning cheatsheets for Stanford's CS 229
+<!-- WEHUB_ZH_README -->
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。  
+> [English](./README.en.md) · [原始项目](https://github.com/afshinea/stanford-cs-229-machine-learning) · [上游 README](https://github.com/afshinea/stanford-cs-229-machine-learning/blob/HEAD/README.md)  
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
 
-Available in [العربية](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/ar) -  [English](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/en) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
+# 斯坦福大学 CS 229 机器学习速查表
 
-## Goal
-This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 229 Machine Learning course, and include:
-- **Refreshers** in related topics that highlight the key points of the **prerequisites of the course**.
-- **Cheatsheets for each machine learning field**, as well as another dedicated to tips and tricks to have in mind when training a model.
-- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!
+提供以下语言版本：[العربية](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/ar) -  [English](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/en) -  [Español](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/es) -  [فارسی](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/fr) -  [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks) -  [Português](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/pt) -  [Türkçe](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/vi) -  [简中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh) -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)
 
-## Content
-#### VIP Cheatsheets
-|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-004.png" alt="Illustration" width="220px"/></a>|
+## 目标
+本仓库旨在在同一处汇总斯坦福大学 CS 229 机器学习课程所涵盖的所有重要概念，内容包括：
+- 相关主题的**复习资料（Refreshers）**，突出课程**先修知识**的要点。
+- **各机器学习领域的速查表（Cheatsheets）**，以及另一份专门介绍训练模型时应注意的**技巧与窍门（Tips and tricks）**的速查表。
+- 将以上所有内容整合为**概念的终极合集**，方便你随时查阅！
+
+## 内容
+#### VIP 速查表
+|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-001.png?" alt="插图" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-002.png" alt="插图" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-003.png" alt="插图" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-004.png" alt="插图" width="220px"/></a>|
 |:--:|:--:|:--:|:--:|
-|Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|
+|监督学习（Supervised Learning）|无监督学习（Unsupervised Learning）|深度学习（Deep Learning）|技巧与窍门（Tips and tricks）|
 
-#### VIP Refreshers
-|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-006.png#1" alt="Illustration" width="220px"/></a>|
+#### VIP 复习资料
+|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-005.png" alt="插图" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-006.png#1" alt="插图" width="220px"/></a>|
 |:--:|:--:|
-|Probabilities and Statistics|Algebra and Calculus|
+|概率与统计（Probabilities and Statistics）|代数与微积分（Algebra and Calculus）|
 
 
-#### Super VIP Cheatsheet
-|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-007.png" alt="Illustration" width="400px"/></a>|
+#### Super VIP 速查表
+|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/en-007.png" alt="插图" width="400px"/></a>|
 |:--:|
-|All the above gathered in one place|
+|将上述内容汇集于一处|
 
-## Website
-This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-229), so that you can enjoy reading it from any device.
+## 网站
+这些材料也可在专用[网站](https://stanford.edu/~shervine/teaching/cs-229),上获取，方便你在任何设备上阅读。
 
-## Translation
-Would you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!
+## 翻译
+你希望用母语阅读这些速查表吗？你可以在[这个专用仓库](https://github.com/shervinea/cheatsheet-translation)!帮助我们进行翻译。
 
-## Authors
+## 作者
 [Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)