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Summer School @MaLGa – Machine Learning Crash Course 2026

Last call for the Summer School Machine Learning Crash Course (MLCC) 2026 https://malga.unige.it/education/schools/mlcc2026/.

The course is organized by MaLGa – the Machine Learning Genoa Center, as part of the ELLIS Genoa unit activities, and is taught by Nicoletta Noceti, Cesare Molinari and Lorenzo Rosasco. MLCC provides an introduction to fundamental concepts and algorithms of Machine Learning. The course presents the statistical learning theory framework with empirical risk minimization and regularization as guiding principles for algorithm design. Linear and nonlinear models will be discussed, including kernel methods and neural networks. The course also covers optimization aspects, discussing and analyzing gradient descent methods and backpropagation. 

Further advanced topics will be covered in a half-day workshop, with invited speakers.

This year we will host Sara Magliacane (UvA and Saarland University), Francesca Crucinio (University of Turin) and Andrea Tacchetti (Google DeepMind)!

The course is suitable for undergraduate/graduate students, as well as professionals.