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Welcome. In the following pages, you will find the practicals reference for the course of INFO-F422 - Statistical Foundations of Machine Learning given at the Université Libre de Bruxelles.

Teaching staff

The 2024-2025 teaching staff is made of:

• ✉️ Gianluca Bontempi: Teacher

• ✉️ Cédric Simar: Teaching Assistant

• ✉️ Pascal Tribel: Teaching Assistant

• ✉️ Gian Marco Paldino: PhD Student

Reference

• 📜 Statistical Foundations of Machine Learning: the handbook by Gianluca Bontempi, Machine Learning Group, Computer Science Department, ULB

• 1. Introduction
• 2. Introduction to Probabilistic Methods and Monte Carlo Simulations
• 3. Linear Models
• 4. Data Preprocessing, Local Models and Tree-Based Models
• 5. Neural Networks for Regression
• 6. Ensembles of models and feature selection
• 7. Classification
• 8. Conclusion
• 9. Bibliography

Mistakes, Remarks, or Compliments

For anything you would like to share to the team, feel free to write an e-mail to Pascal Tribel.