Code
IGFE MAT 7007
Level
MSc
Graduate
PostGraduate
Semester
Fall
Domain
Mathématiques
Program
Master of Science
Language
Anglais/English
ECTS Credits
6
Class hours
45
Workload
135
Program Manager(s)
Department
- Electronique et Physique
Educational team
Organisation
Cours/TD/TP/projet/examen :Learning objectives
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.
Keywords
Statistical Data Analysis, decision theory, Unsupervised Methods, Supervised Methods
Content
- Introduction
- Preprocessing, Feature Extraction
- Statistical Data Analysis
- Bayesian Decision Theory
- Clustering
- Neural Networks
- Hidden Markov Models
- Project
Evaluation
- continuous exam
- written exam
- oral exam