# stanford-cs-229-machine-learning

**Repository Path**: mirrors_lepy/stanford-cs-229-machine-learning

## Basic Information

- **Project Name**: stanford-cs-229-machine-learning
- **Description**: VIP cheatsheets for Stanford's CS 229 Machine Learning
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-25
- **Last Updated**: 2025-07-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Machine Learning cheatsheets for Stanford's CS 229
## 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
<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-supervised-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-supervised-learning.png?" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-unsupervised-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-unsupervised-learning.png" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-deep-learning.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-deep-learning.png" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/cheatsheet-machine-learning-tips-and-tricks.pdf"><img src="https://stanford.edu/~shervine/images/vip-cheatsheet-machine-learning-tricks.png" alt="Illustration" width="220px"/></a>
&nbsp; &nbsp; &nbsp;&nbsp; &nbsp; Supervised Learning &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Unsupervised Learning &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Deep Learning &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Tips and tricks

#### VIP Refreshers
<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/refresher-probabilities-statistics.pdf"><img src="https://stanford.edu/~shervine/images/vip-refresher-probabilities-and-statistics.png" alt="Illustration" width="220px"/></a><a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/refresher-algebra-calculus.pdf"><img src="https://stanford.edu/~shervine/images/vip-refresher-linear-algebra-and-calculus.png#1" alt="Illustration" width="220px"/></a> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; Probabilities and Statistics &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Algebra and Calculus


#### Super VIP Cheatsheet
<a href="https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/super-cheatsheet-machine-learning.pdf"><img src="https://stanford.edu/~shervine/images/super-vip-cheatsheet.png" alt="Illustration" width="400px"/></a> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp; &nbsp; All the above gathered in one place

## Website
This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-229.html), so that you can enjoy reading it from any device.

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