INSA Hauts-de-France, France (2025)

The lectures make part of the module Machine Learning I of the Master program CaSSAD, INSA Hauts-de-France.

Introduction to machine Learning
- Supervised and unsupervised learning
- Cross-validation
Linear models
- Linear and logistic regression
- Regularized regression methods (LASSO - RIDGE - Elastic Net)
- Partial least squares
Unsupervised learning methods
- k-means
- Gaussian mixture models
- Principal component analysis (PCA)

The courses are taught in French and they are currently in progress.

UPHF, France (2021 - today)

The lectures make part of a complete course on mathematics for the IUT-GEII at the Univ. Polytechnique Hauts-de-France (UPHF). The courses are taught in French and follow a structured order tailored to the specific chronological needs at IUT-GEII. Additionally, specific lab sessions involves Mathematica and Python.

Semester	Topics
BUT1	- Trigonometry [slides] - Complex numbers [slides] - Numeric functions [slides] - Derivatives [slides] - ODE 1 [slides] - Rational fractions [slides] - Integrals [slides] - ODE 2 [slides] - Laplace transform [slides] - Convolution [slides]
BUT2	- Fourier series [slides] - Fourier transform [slides] - Numerical sequences [slides] - Numerical series [slides] - Z transform [slides] - Introduction to power series [slides] - Matrices [slides] [lab]
BUT3	- ODE: advance topics [lab] - Introduction to Statistics

INSA Toulouse, France (2021)

These lectures make part of a complete course on stochastic processes lead by the French National Institute of Applied Science (INSA, acronym in French). They are based on Gaussian processes and related topics. More precisely,

A brief introduction to Gaussian processes with applications [slides]
Spectral representation and Bochner’s theorem [slides]
Regularity conditions (e.g. continuity, differentiability) [slides]
An introduction to reproducing kernel Hilbert-spaces (RKHS) [slides]

The Jupyter Notebooks for the practical sessions can be download here: [link]