Teaching

Current lectures

Data Analysis

Introduction to exploratory Data Analysis. Applications in Python using scikit-learn

Deep Learning

Introduction to Deep Learning. Concepts and main networks. Use cases in classification, regression, transfert learning, dimension reduction, data generation.

Linear algebra

Numerical analysis: a linear algebra perspective. How to solve linear systems with applications to least squares and eigen analysis.

Machine Learning

Introduction to supervised and unsupervised machine learning algorithms. Applications in Python using scikit-learn

Past lectures

Image processing

Image Processing: methods and applications in C++ using CImg library

Stochastic differential equations

Introduction to stochastic differential equations