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MLHEP School
MLHEP Summer School, August 27 - 30, 2015, St. Petersburg - a satellite event of the LHCP2015 Conference
Machine Learning in High Energy Physics (MLHEP) is intended to cover the relatively fresh area of data analysis and computational research that has started to emerge in High Energy Physics. It is known by several names including “Multivariate Analysis”, “Neural Networks”, “Classification/Clusterization techniques”. In more generic terms, these techniques belong to the field of “Machine Learning”, which is an area that is based on research performed in Statistics and has received a lot of attention from the Data Science community.
There are plenty of essential problems in High energy Physics that can be solved using Machine Learning methods. These vary from online data filtering and reconstruction to offline data analysis.
Students of the school will receive a theoretical and practical introduction to this new field and will be able to apply their acquired knowledge to solve their own problems.
The MLHEP school is a satellite event to the LHCP2015 conference, so its dates and venue are well-aligned with the conference.
Expected number of students at the school is 40-50 people (separated equally between Introductory and Advanced tracks).
Details and registration at: http://www.hse.ru/mlhep2015/
