UE Introduction to data analysis

Diplômes intégrant cet élément pédagogique :

Descriptif

This course gives an introduction to data analysis via machine learning methods. The focus is on how to use well the powerful existing machine learning methods so as not to do "bad data analysis"; rather than on giving an exhaustive account of all existing algorithms.

We will cover basic notions of data analysis (such as cross-validation or regularization), methods for supervised and unsupervised learning (classification, neural networks, recommendation, clustering), and transverse questions of interpretability, explainability and fairness in machine learning.

The notions are introduced and illustrated through labs and the grading is in part based on a project.

Pré-requis

Basics of Python (incl. numpy), basics of algebra, basics of probability

Informations complémentaires

Méthode d'enseignement : En présence
Lieu(x) : Grenoble - Domaine universitaire
Langue(s) : Anglais