Home > Machine Learning applications in CMS |
Talk | |||||||||||
Title | Machine Learning applications in CMS | ||||||||||
Video |
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Author(s) | Stoye, Markus (speaker) (CERN) | ||||||||||
Corporate author(s) | CERN. Geneva | ||||||||||
Imprint | 2017-09-20. - Streaming video. | ||||||||||
Series | (EP-IT Data science seminars) | ||||||||||
Lecture note | on 2017-09-20T11:00:00 | ||||||||||
Subject category | EP-IT Data science seminars | ||||||||||
Abstract | Machine Learning is used in many aspects of CMS data taking, monitoring, processing and analysis. We review a few of these use cases and the most recent developments, with an outlook to future applications in the LHC Run III and for the High-Luminosity phase. | ||||||||||
Copyright/License | © 2017-2024 CERN | ||||||||||
Submitted by | angela.ricci@cern.ch |