Machine Learning Course

This repository contains the public material for my Machine Learning course: lecture notes with code examples and lab works.

I have tried to write them in such a way that they should be accessible to anyone wanting to learn the subject, regardless of whether you are one of my students or not.

Table of Contents

• About Artificial Intelligence
• Machine Learning: an introduction

Supervised learning fundamentals

Supervised Learning is a subset of Machine Learning in which expected results are fed into the system alongside training data.

• Principles of supervised learning
• End-to-end project workflow
• Assessing classification performance
• Learning via Gradient Descent
• Lab: Predict heart disease

Classic algorithms

• 🚧 Linear Regression
• 🚧 Decision Trees & Random Forests
• ... (more to come)

Neural networks and Deep Learning

Deep Learning is a subset of Machine Learning based on the usage of large neural networks trained on vast amounts of data.

• Feedforward Neural Networks
• Lab: Introduction to PyTorch
• Lab: Classify 2D data with a neural network
• Convolutional Neural Networks
• ... (more to come)

Reinforcement Learning

Reinforcement Learning is a subset of Machine Learning concerned with the maximization of rewards in a dynamic environment.

• 🚧 Introduction to Reinforcement Learning
• ... (more to come)

Usage

git clone https://github.com/bpesquet/mlcourse.git
cd mlcourse
python {path to Python code file}

Development notes

Toolchain

This project is built with the following software:

• Poetry for dependency management;
• Black for code formatting;
• Pylint to detect mistakes in the code;
• pytest for testing the code;
• Marp for showcasing notes as slideshows during lectures.

Useful commands

# Reformat all Python files
black .

# Check the code for mistakes
pylint lectures

# Run all code examples as unit tests
# The -s flag prints code output
pytest [-s] .

License

Creative Commons for textual content and MIT for code.

Copyright © 2024-present Baptiste Pesquet.