Probabilités en grandes dimensions pour les sciences des données

Langue d'enseignement :français

This course presents essential probabilistic methods commonly used in modern data science research. High-dimensional probability studies random objects in Rn – like random vectors and matrices – where the dimension n can be very large. We will see foundational tools for analyzing such objects, including concentration inequalities, covering, chaining, and more.