August 31 / SKOLTECH
Machine Learning
Summer School
Community Day
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event details
MLSS
The Machine Learning Summer School is an event series started at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, in 2002. Its organizers noticed that while many students are keen to learn about machine learning only few machine learning courses are taught at universities. By now, more than 30 editions have taken place in Europe, Asia and the Americas. For the first time, the Machine Learning Summer School is coming to Eastern Europe.
VENUE
MLSS will take place at the heart of Moscow's Skolkovo Innovation Center – Skoltech Institute of Science and Technology. Skoltech was created during 2011 in collaboration with the Massachusetts Institute of Technology (MIT). Central to the campus are its multi-story laboratories that accommodate lab space, work and teaching areas, as well as the associated offices, which include 12 laboratory buildings within the insitute.
MOSCOW
Moscow is the capital of Russia and one of the largest cities in Europe. A historic center with modern infrastructure easily reachable from all major cities of Russia by air or train travel. Located on the river Moskva, in the west of the country, Moscow's landmarks include the Red Square, the Bolshoi Theatre, the Gorky Park, VDNH and the Tretyakov gallery. Moscow is an excellent destination to visit regardless whether you are on business or holiday travel.
sponsors & partners
organizers / contact
Alexander Kuleshov
Co-Chair, President, Skoltech
Evgeny Burnaev
Co-Chair, Associate Professor,
CDISE, Skoltech
Maxim Fedorov
Co-Chair, Director, CDISE, Skoltech
Rodrigo Rivera Castro
Researcher, CDISE, Skoltech
Fernando Perez Cruz
Chief Data Scientist, Swiss Data Science Center
Organizers:
MLSS
Skolkovo Institute of Science & Technology
ADASE Group
Center for Computational and Data-Intensive Science and Engineering

E-mail:
adase(at)skoltech.ru

Do not hesitate to drop by:
143026, 3 Nobel str., Moscow, Russia
For directions on how to reach us, please see here