https://github.com/afshinea/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning
https://github.com/afshinea/stanford-cs-229-machine-learning

cheatsheet cs229 data-science deep-learning machine-learning ml-cheatsheet supervised-learning unsupervised-learning

Last synced: 4 days ago
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VIP cheatsheets for Stanford's CS 229 Machine Learning

• Host: GitHub
• URL: https://github.com/afshinea/stanford-cs-229-machine-learning
• Owner: afshinea
• License: mit
• Created: 2018-08-04T23:01:00.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-05-20T04:57:25.000Z (over 4 years ago)
• Last Synced: 2024-08-01T13:27:28.700Z (3 months ago)
• Topics: cheatsheet, cs229, data-science, deep-learning, machine-learning, ml-cheatsheet, supervised-learning, unsupervised-learning
• Homepage: https://stanford.edu/~shervine/teaching/cs-229
• Size: 36.6 MB
• Stars: 17,301
• Watchers: 710
• Forks: 3,904
• Open Issues: 18
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning cheatsheets for Stanford's CS 229

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)

## 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!

## Content

#### VIP Cheatsheets

|||||

|:--:|:--:|:--:|:--:|

|Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|

#### VIP Refreshers

|||

|:--:|:--:|

|Probabilities and Statistics|Algebra and Calculus|

#### Super VIP Cheatsheet

||

|:--:|

|All the above gathered in one place|

## 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.

## 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)!

## Authors

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