We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas and techniques that come from probability, information the ...
L'atelier consiste en une mise en situation de projet dans l'existant, à a fois concrète et prospective. Celle-ci s'étend du diagnostic à la réhabilitation, en passant par la reprogrammation. La halle Tapponnier, construite à Annemasse en 1929 selon un pro ...
L'atelier consiste en une mise en situation de projet dans l'existant, à a fois concrète et prospective. Celle-ci s'étend du diagnostic à la réhabilitation, en passant par la reprogrammation. La création d'un Student Center sur le campus historique de l'EP ...
Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and challenges of the possible paths towards the nex ...
We develop, analyze and implement numerical algorithms to solve optimization problems of the form min f(x) where x is a point on a smooth manifold. To this end, we first study differential and Riemannian geometry (with a focus dictated by computational con ...
This course is an introduction to the spectral theory of linear operators acting in Hilbert spaces. The main goal is the spectral decomposition of unbounded selfadjoint operators. We will also give elementary applications to quantum mechanics. ...
A rigorous introduction to the statistical analysis of random functions and associated random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we will see the interplay between nonparametrics and multivariate ...