Logo CIMPA

Control, Optimization and Model Reduction in Machine Learning

Organisateur extérieur

External organizer
Mejdi Azaiez
Country external organizer
France
Email external organizer
azaiez@u-bordeaux.fr

Organisateur local

Local organizer
Maher Moakher
Country local organizer
Tunisie
Email local organizer
maher.moakher@enit.utm.tn

The research school's program is oriented in such a way as to make listeners benefit from the latest advances in the field of Machine Learning, Deep Learning and other data science techniques. The artificial intelligence and statistics community, and that of scientific computing have come together in recent years to give birth to new algorithms useful to both themes. Indeed, the first community by being interested in large-scale problems, appropriated a certain number of methods usually used by the second. Similarly, the scientific computing community for solving problems arising from physics has begun to take a close interest in Machine Learning and Deep Learning techniques to develop economic models in computing time. It is to these highly intriguing questions that the lecturers of this school will focus.

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Le programme scientifique est disponible sur le site local de l'école :
http://cimpa2025.lamsin.tn

Langue officielle de l'école : anglais

Info address
Pristini School of Artificial Intelligence | RH7X+GWG
Dates
-
Deadline
Pays
Tunisia
Region
AFRIQUE
Année
2025

Comment participer

Pour s'inscrire et postuler à un financement CIMPA, lisez attentivement les instructions données ici. Si vous savez déjà ce qu'il faut faire, vous pouvez vous rendre sur le site de candidature, créer un compte (si ce n'est pas déjà fait) et postuler à l'école qui vous intéresse. Attention, vous serez redirigé·e vers un autre site.