Code
IGFE MAT 7007
Niveau
MSc
Graduate
PostGraduate
Semestre
Fall
Domaine
Mathématiques
Programme
Master of Science
Langue
Anglais/English
Crédits ECTS
6
Heures programmées
45
Charge de travail
135
Coordonnateur(s)
Département
- Electronique et Physique
Equipe pédagogique
Organisation
Cours/TD/TP/projet/examen :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.
Mots-clés
Statistical Data Analysis, decision theory, Unsupervised Methods, Supervised Methods
Contenu
- Introduction
- Preprocessing, Feature Extraction
- Statistical Data Analysis
- Bayesian Decision Theory
- Clustering
- Neural Networks
- Hidden Markov Models
- Project
Evaluation
- continuous exam
- written exam
- oral exam