Regularization Methods for Machine Learning (RegML)
Instructors: Francesca Odone (francesca.odone [at] unige.it ); Lorenzo Rosasco (lorenzo.rosasco [at] unige.it)
Machine Learning PhD Summer Course in Genoa, Italy
June 30, 2104 – July 4, 2014
A 20 hours advanced machine learning course including theory classes and practical laboratory session. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respect the course is compressed version of the 9.520 course at MIT.
The course started in 2008 has seen an increasing national and international attendance over the years with a peak of 85 participants in 2013.
Registration required: send an e-mail to the instructors (contact info listed above) by May 24th. The course will be activated if a minimum number of participants is reached.
The course will be held in Genova in the heart of the Italian Riviera.
Contact:
Dr. Lorenzo Rosasco
Assistant Professor, DIBRIS, Universita’ degli Studi di Genova
LCSL, Massachusetts Institute of Technology & Istituto Italiano di Tecnologia
LCSL — Laboratory for Computational and Statistical Learning