Application of statistical methods I
Catalogue des cours de Télécom SudParis
Code
MAT 7007
Niveau
PostGraduate (MSc)
Domaine
Mathématiques
Langue d'enseignement
Anglais
Crédits ECTS
9
Heures programmées / Charge de travail
45 / 135
Responsable(s)
- EL YACOUBI Abdenaim
Département
- Electronique et Physique
Equipe pédagogique
- DORIZZI Bernadette
- GARCIA Sonia
- EL YACOUBI Abdenaim
Objectifs
Machine Learning and Statistical Data Processing are today ubiquitous tools in several fields such as ICT, telecommunications, physics, geophysics, environment, biology, etc. The ever-increasing quantity of information requires the use of advanced statistical methods to make sense of raw data. This course aims at providing the fundamentals of decision theory and above all the practical bases for the implementation of state of the art statistical methods.
Contenu
- Introduction
- Preprocessing, Feature Extraction
- Statistical Data Analysis
- Bayesian Decision Theory
- Clustering
- Neural Networks
- Hidden Markov Models
- Project
Prérequis
Mots-clés
Statistical Data Analysis, decision theory, Unsupervised Methods, Supervised Methods
Evaluation
- continuous exam
- written exam
- oral exam
Approches pédagogiques
Programme
Master of Science