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https://github.com/afshinea/stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
https://github.com/afshinea/stanford-cs-221-artificial-intelligence

a-star artificial-intelligence bayesian-networks cheatsheet constraint-satisfaction-problem data-science markov-decision-processes

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VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

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# Artificial Intelligence cheatsheets for Stanford's CS 221
Available in [English](https://github.com/afshinea/stanford-cs-221-artificial-intelligence/tree/master/en) - [Français](https://github.com/afshinea/stanford-cs-221-artificial-intelligence/tree/master/fr) - [Türkçe](https://github.com/afshinea/stanford-cs-221-artificial-intelligence/tree/master/tr)

## Goal
This repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 221 Artificial Intelligence course, and include:
- **Cheatsheets** for each **artificial intelligence field**
- 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|
|:--:|:--:|:--:|:--:|
|Reflex-based models|States-based models|Variables-based models|Logic-based models|

#### Super VIP Cheatsheet
|Illustration|
|:--:|
|All the above gathered in one place|

## Website
This material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-221), 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)