ECTS credits
5
Language(s) of instruction
english
Course content
The 'Data Deluge' and 'Big data' world; goals of statistical/machine learning theory; mathematical framework; classification and Support Vector Machines; linear regression problems and high-dimensional statistics (ridge, lasso, etc.); kernel methods; consistency and complexity issues; risk bounds; applications in various fields (economics, finance, computer vision, bioinformatics, etc.)
Objectives (and/or specific learning outcomes)
To provide a mathematical toolkit to deal with large datasets; a first course on statistical/machine learning and high-dimensional data analysis
Teaching methods and learning activities
Oral course (taught in English)
Contribution to the teaching profile
see French version
Other information
Contacts
Christine De Mol
Evaluation
Method(s) of evaluation
- Oral examination
Oral examination
Oral exam
Language(s) of evaluation
- english
- french