Learn · CERN

Talk8 min

Response

Gilles Dr. LOUPPE · CERN

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About

Machine learning is used at all stages of the LHCb experiment. It is routinely used: in the process of deciding which data to record and which to reject forever, as part of the reconstruction algorithms (feature engineering), and in the extraction of physics results from our data. This talk will highlight current use cases, as well as ideas for ambitious future applications, and how we can collaborate on them..

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The talk

  1. Response 2015-11-12 · 8 min · CERN's player

Credits and licence

Institution
CERN
Department
LPCC Workshops
Speaker
Gilles Dr. LOUPPE
Year
2015
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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