Application of statistical methods I

Catalogue des cours de Télécom SudParis

Code

IGFE MAT 7007

Niveau

MSc

Graduate

PostGraduate

Semestre

Fall

Domaine

Mathématiques

Programme

Master of Science

Langue

Anglais/English

Crédits ECTS

9

Heures programmées

45

Charge de travail

135

Coordonnateur(s)

Département

  • Electronique et Physique

Equipe pédagogique

Acquis d'apprentissage

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

Mots-clés

Statistical Data Analysis, decision theory, Unsupervised Methods, Supervised Methods

Evaluation

- continuous exam
- written exam
- oral exam

Fiche mise à jour le 13/07/2017