Logo CIMPA

Control, Optimization and Model Reduction in Machine Learning

External organizer

External organizer
Mejdi Azaiez
Affiliation local organizer
Ecole Nationale d'Ingénieurs de Tunis
Country external organizer
France
Email external organizer
azaiez@u-bordeaux.fr

Local Organizer

Local organizer
Maher Moakher
Affiliation local organizer
Ecole Nationale d'Ingénieurs de Tunis
Country local organizer
Tunisia
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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Scientific program is available on the local website of the school:
http://cimpa2025.lamsin.tn

Official language of the school: english

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

How to participate

For registration and application to a CIMPA financial support, read carefully the instructions given here. If you already know what to do, you can also directly go to the application website, create an account (if necessary) and apply to the school of your choice. Be aware that you will be redirected to an external website.