The goal of this training module is to provide an understanding and mastering the main methods of machine learning used to analyse health data. By the end of this module, students will know the main methods of machine learning from their fundamental concepts to their contextualised use to analyse health data, and will be able to perform and interpret an analysis using machine learning methods.

Program

  • General theoretical framework for machine learning ;
  • k-means ;
  • Support vector machines ;
  • Tree-based methods, bagging, random forests, boosting ;
  • Neural networks.

Requirements

  • Knowledge in probabilities, in descriptive and inferential statistics, in mathematic ;
  • Basic knowledge of programming (Python and/or R).

Coordinators* & Instructors

Louis Visonneau*, Quentin Marcou, Imad El Badisy.

Course organisation

12 hours of lecture and 6 hours of practical exercises.

Module fees

Individual: €350
Institutional : €1,050

Module organisation

Live and online.

Documents

Leaflet module pdf - 282.2 KB