# 机器学习 (CS 229 Stanford)
可得到 [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** -  [繁中](https://github.com/afshinea/stanford-cs-229-machine-learning/tree/master/zh-tw)

## 内容
#### VIP Cheatsheets
|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-004.png" alt="Illustration" width="220px"/></a>|
|:--:|:--:|:--:|:--:|
|监督学习|无监督学习|深度学习|机器学习技巧和秘诀|

#### VIP Refreshers
|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/zh/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/zh-006.png#1" alt="Illustration" width="220px"/></a>|
|:--:|:--:|
|概率和统计|线性代数和微积分|

## 作者
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) 和 [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)

## 译者
Wang Hongnian, Xiaohu Zhu, Chaoying Xue