Nicolas Flammarion

EPFL IC IINFCOM TML
INJ 336 (Bâtiment INJ)
Station 14
1015 Lausanne

Web site:  Web site:  https://ssc.epfl.ch

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Administrative data

Teaching & PhD

Teaching

Computer Science

Communication Systems

Courses

Machine learning

Machine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.

Optimization for machine learning

This course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation.

EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.