Teaching

Machine learning, Classification and Data Mining - MAT4102

Engineering Master’s program (~90 hours TD eq.), Télécom SudParis, 2025

This is a short description of the lessons made in MAT4102. The aim of this course is to give the fundamentals of machine learning, with a particular emphasis on how learning algorithms are constructed. The course is divided into two parts: lectures where we describe the statistical models and the algorithms, and practical sessions to assess the algorithms performance with real data. All practical sessions are done using Python notebooks

M1 DATAPAC - SIC7002

Master of Science course, Télécom SudParis, 2024

This is a short description of the lesson made in MSc DATAPAC