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jdhp.org

This page contains some documents I use for teaching (articles, tutorials, slides, notebooks, mementos, ...). More documents are available in French here.

Contents

Teaching Artificial Intelligence and Applied Maths  

An Introduction to Monte-Carlo Tree Search  

An introduction to Monte-Carlo Tree Search (MCTS): an efficient algorithm for decision processes (especially with computer games).

Presented in:

Taiwan energy-forum, Tainan (Taiwan), May 2012.

Source code : Fork me on GitHub  
Download : Slides (PDF)  

An Introduction to Algorithms for Computer Games with MiniMax  

An introduction to MiniMax: a very simple algorithm for decision making in computer games.

Reference:

Jérémie Decock, October 2012.

Source code : Fork me on GitHub  
Download : Slides (PDF)  

IPython/Jupyter notebooks  

Numpy snippets  

This notebook contains some Numpy snippets.
Source code : Fork me on GitHub  

Matplotlib snippets  

This notebook contains some Matplotlib snippets.
Source code : Fork me on GitHub  

The Mandelbrot set with Python and Matplotlib  

This notebook contains an example of how to make and display the Mandelbrot set with Python and Matplotlib.
Source code : Fork me on GitHub