This repository contains slides and exercices for 5th year students at epitech for the course "Introduction to AI".

Scripts contains errors on the default "exercise" branch. These exercises are material for students to work locally after cloning the repository.

The branch "master" contains corrected scripts. Students are encouraged to work rather with the "exercise" branch during the module, in order to have the time to look for the solutions, that are discussed during the course.

• General discussion on AI
• Concept of Machine Learning
• AI paradigms
• Supervised Learning
• Unsupervised Lerning
• Linear separation
• Kmeans clustering
• Overfitting
• Presentation of the project

• Neural networks
• Gradient descent
• Introduction to game theory
• The minimax algorithm and Alpha-Beta pruning
• Intermediate scoring
• Monte-Carlo methods

We can use the convenient jupyter notebooks during the course. This will allow us to run scripts in the browser.

You need to have docker installed. To install docker, please follow the instructions here: https://docs.docker.com/get-docker/ The dockerfile sets the installation up.

• To build: ./buildJupyterImage.sh
• To launch: ./launchNotebookServer.sh

Jupyter is a web app, to open your notebooks, open in your browser the following url: http://localhost:8888/lab