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DTSTART:19700329T020000
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SUMMARY:Fifth Machine Learning in High Energy Physics Summer School 2019
DTSTART;TZID=Europe/Berlin:20190701T120000
DTEND;TZID=Europe/Berlin:20190710T000000
DTSTAMP:20190626T1443Z
DESCRIPTION:The Fifth Machine Learning summer school organised by Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis of National Research University Higher School of Economics and Hamburg University will be held at DESY, Hamburg, Germany from the 1st to 10th of July 2019.\n
The school will cover the relatively young area of data analysis and computational research that has started to emerge in High Energy Physics (HEP). 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.\n
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.\n
Students of the school will receive a theoretical and practical introduction to this new field and will be able to apply acquired knowledge to solve their own problems. Topics ranging from decision trees to deep learning and hyperparameter optimisation will be covered with concrete examples and hands-on tutorials. A special data-science competition will be organised within the school to allow participants to get better feeling of real-life ML applications scenarios.\n
The expected number of students for the school is 60. The school is aimed at PhD students and postdoctoral researchers, but also open to masters students.\n
LOCATION:DESY, Notkestraße 85, 22607 Hamburg, Seminar Room 4
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