Traitement de données sur graphes (GDP)

Description

Introduction au traitement de données sur graphes et à l'utilisation de graphes en science des données.

Mots-clés

Graphs, learning, data science

Contenu

The goal of this course is to provide a broad introduction to effective algorithms in data science and network analysis. A major effort will be given to show that existing data analysis techniques can be defined and enhanced on graphs. Graphs encode complex structures like cerebral connection, stock exchange, and social network. Strong mathematical tools have been developed based on linear and non-linear graph spectral harmonic analysis to advance the standard data analysis algorithms. Main topics of the course are networks, unsupervised and supervised learning, recommendation, visualization.

Compétences acquises

Etre capable d'appliquer les algorithmes les plus importants en science des données.

Enseignant

Pierre Vandergheynst