# Học máy cheatsheets (Stanford CS 229)

Có sẵn bằng [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** - [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)

## Nội dung
#### VIP cheatsheets
|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-001.png?" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-002.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-003.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-004.png" alt="Illustration" width="220px"/></a>|
|:--:|:--:|:--:|:--:|
|Học có giám sát|Học không giám sát|Học sâu|Các mẹo và thủ thuật|

#### VIP refreshers
|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-005.png" alt="Illustration" width="220px"/></a>|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-006.png#1" alt="Illustration" width="220px"/></a>|
|:--:|:--:|
|Xác suất và Thống kê cơ bản|Đại số tuyến tính và Giải tích cơ bản|


#### Super VIP cheatsheet
|<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/vi/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/teaching/cs-229/illustrations/cover/vi-007.png" alt="Illustration" width="400px"/></a>|
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## Các tác giả
[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, Viện Công nghệ Massachusetts) và [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Đại học Stanford)


## Dịch thuật
Trần Tuấn Anh, Hoàng Vũ Đạt, Nguyễn Khánh Hưng, Nguyễn Trí Minh, Hung Nguyễn, Vinh Pham, Đàm Minh Tiến, Hoàng Minh Tuấn và Phạm Hồng Vinh