The aim of this course is to give the fundamentals of machine learning, with a particular emphasis on how learning algorithms are constructed.
Each course is divided in two parts of 3 hours: a course part, where we describe a method, and another 3 hours part where either some details about the construction of the method, or a practical session using this method is provided.
All practical sessions are done using R.
Always come with your laptop, with R studio installed on it
Langue du cours : Anglais
- Profesor: Capitaine Aymeric
- Profesor: Durmus Alain
- Profesor: Girardin Oskar
- Profesor: Jourdain Benjamin
- Profesor: Labbi Safwan
- Profesor: Michel Manon
- Profesor: Noble--Bourillot Maxence