Need help with stanford-cs-229-machine-learning?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

afshinea
11.2K Stars 2.8K Forks MIT License 178 Commits 11 Opened issues

Description

VIP cheatsheets for Stanford's CS 229 Machine Learning

Services available

!
?

Need anything else?

Contributors list

Machine Learning cheatsheets for Stanford's CS 229

Available in العربية - English - Español - فارسی - Français - 한국어 - Português - Türkçe - Tiếng Việt - 简中 - 繁中

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

|Illustration|Illustration|Illustration|Illustration| |:--:|:--:|:--:|:--:| |Supervised Learning|Unsupervised Learning|Deep Learning|Tips and tricks|

VIP Refreshers

|Illustration|Illustration| |:--:|:--:| |Probabilities and Statistics|Algebra and Calculus|

Super VIP Cheatsheet

|Illustration| |:--:| |All the above gathered in one place|

Website

This material is also available on a dedicated website, 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!

Authors

Afshine Amidi (Ecole Centrale Paris, MIT) and Shervine Amidi (Ecole Centrale Paris, Stanford University)

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.