afshinea/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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178 commits

updated May 20, 2020

stanford.edu/~shervine/teaching/cs-229

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README

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


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, 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)

cheatsheet

cs229

data-science

deep-learning

machine-learning

ml-cheatsheet

supervised-learning

unsupervised-learning

Significant stargazers

(top 24 of 44)

Sang-gil Lee

173 followers · starred Aug 2018

Jonathan Tow

82 followers · starred Dec 2018

Yash Katariya

471 followers · starred Oct 2018

Stas Bekman

2,619 followers · starred May 2019

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