Statistics, Machine Learning & Data Science

Please see all the detailed program on the school website:
https://s4d.sciencesconf.org/program

Course leader

Pr. Christophe Biernacki, INRIA
Pr. Peter Tino, Birmingham, UK
Pr. Abbas khalili, McGill, Montréal, Canada
Pr. Stéphane Canu, INSA/LITIS, France
Pr. Hien Nguyen, La Trobe, Australia
Pr. Faicel Chamroukhi, Caen

Target group

PhD students and postdocs in the area of machine leanring, statistics, signal processing and related fields. Master students having basic skills in machine learning and statistics are also welcome.

Course aim

The objectives of the talks are to:

present the basic developments of models for students and practitioners to understand the basics of the domain;
highlight for students, scientists and practitioners the major scientific issues necessary for the development of such models and on the related theoretical and computational problems;
present and analyze the latest theoretical advances in modeling and practical considerations regarding statistical learning, classification, representation, of large-scale raw data, in various application area

Credits info

15 EC
Will be evaluated

Fee info

EUR 300: Before May 15, 2018:

" I wish to only attend the courses (this doesn't include conference lunches/dinners and social events) ": 50€
" All inclusive (except accommodation) for PhD Student/Postdoc ": 300€
" All inclusive (except accommodation) for Academic (permanent scientist) ": 350€
" All inclusive (except accommodation) for Industrial (engineer, scientist, etc) ": 390€
EUR 350: Before May 15, 2018:

" I wish to only attend the courses (this doesn't include conference lunches/dinners and social events) ": 50€
" All inclusive (except accommodation) for PhD Student/Postdoc ": 300€
" All inclusive (except accommodation) for Academic (permanent scientist) ": 350€
" All inclusive (except accommodation) for Industrial (engineer, scientist, etc) ": 390€