Application of statistical methods I

Organisation

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