This is the list of courses that are tought at Eurecom by members of
Machine Learning and Intelligent Systems
The objective of this course is to give students a solid background in Machine Learning (ML) techniques. ML techniques are used to build efficient models for problems for which an optimal solution is unknown. This course will introduce the basic theories of Machine Learning, together with the most common families of classifiers and predictors. It will identify the basic ideas underlying the mechanism of learning, and will specify the practical problems that are encountered when applying these techniques, optimization, overfitting, validation, together with possible solutions to manage those difficulties.
Deep Learning is a new approach in Machine Learning which allows to build models that have shown superior performance fora wide range of applications, in particular Computer Vision and Natural Language Processing. Thanks to the joint availability of large data corpus and affordable processing power, Deep Learning has revived the old field of Artificial Neural Networks and provoked the "Renaissance" of AI (Artificial Intelligence). The objective of this course is to provide an overview of the field of Deep Learning, starting from simple Neural Network architectures and pursuing with contemporary and state of the art practices and models. The course is organized as a combination of lectures where the theory is exposed and discussed, and hands-on sessions (labs) where experimentations are performed to practice with the theoretical concepts.
Advanced Data Science Topics
In this course, we will discuss contemporary and state of the art research problems in Data Science. The content of the course will change from year to year and will reflect the current research interests of the EURECOM faculty. The course is organised partly in Seminars/Case Studies sessions supported by industrials and researchers working in the field and a Mini Scientific Conference where each student will research and present a topic from the wide range of advanced data science topics.