Courses structure
Provisional schedule (more courses should be added)
Winter Semester [End of September , 2015 -> End of January, 2016]
Mandatory courses:
- Statistique en grande dimension (P2, 2.5 ECTS) [Christophe Giraud, Université ParisSud]
- Statistique et théorie de l’apprentissage (P1, 2.5 ECTS) [Arnak Dalalyan, ENSAE]
- Computational Statistics and optimisation (P1+P2, 5 ECTS) [Stéphane Gaiffas, Alexandre Gramfort]
- Machine Learning : from theory to practice (P1+P2, 5 ECTS) [Florence d'Alche Buc, Erwan Le Pennec]
- Advanced Big Data Analytics (P1+P2, 10 ECTS) [Michailis Vazirgiannis]
- Méthodes probabilistes pour l’accès à l’information à grande échelle (P2, 2.5 ECTS) [François Yvon]
- Data Camp (P1/P2, 2.5 ECTS) [B. Kegl, A. Gramfort]
Spring Sementer [Begin of February, 2016 -> End of March, 2016]
Elective courses:
- Machine learning for structured data (2,5 ECTS) [Florence d'Alche Buc, Eric Moulines]
- Computational Statistics (5 ECTS) [Stéphanie Allassonnière]
- Advance Machine Learing (2,5 ECTS) [Pierre Alquier, Massimilo Pontil]
- Advanced Hadoop (2,5 ECTS)
- Graph & Text Analytics for Big Data (5 ECTS) [Michalis Varzigiannis]