Aims
The objective of the course is to initiate young life-science scientists to the bases of machine learning, and how to use it in Python with the scikit-learn package.
Organisation
The course will include eleven classes (two or three per week), each two-hours long, over a period of five weeks, in May-June 2026. A large part of each class will be devoted to practical coding exercises. A few hours of homework per week are further needed.
Assessment
• The participants will be regularly asked to explain their code during the classes.
• Coding exercises will be proposed over the duration of the course.
• The course will be assessed through attendance and solutions to exercises to be posted via the Moodle page of the course.
- Enseignant: Pedro Tiago MONTEIRO
- Enseignant: Denis THIEFFRY
- Enseignant: Iris SALECKER
- Enseignant: Renaud DE ROSA
- Enseignant: Andrea DUMOULIN
