Courses

Starting from health data, their specificities (issues, regulations, ethics, accessibility constraints), the courses of this CIMPA school will introduce statistical learning methods. Advanced concepts of machine learning and deep learning will be exposed. The application of these artificial intelligence approaches on health data and their impact will be studied.

Introductory courses (20 hours)

Intelligent systems and techniques for collecting data (4 hours)

Mathematics for Machine learning (8 hours)

Machine learning: theory and algorithms (8 hours)

Advanced courses (23 hours)

Advanced Machine Learning: complexity control and adaptation (9 hours)

Artificial Intelligence: deep learning (10 hours)

Advanced Algorithmics (4 hours) 

Application (10 hours)

Machine Learning for health (10 hours)

File:  Courses summary