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Talk44 min

Machine learning applications in BI I

Elena Fol · CERN

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About

The target of this lecture is to provide an overview of ML algorithms and to indicate beam diagnostics tasks where ML based solutions can be efficiently applied to complement or potentially surpass traditional methods. Some fundamental concepts of machine learning algorithms will be introduced, typical challenges and practical considerations will be discussed, followed by demonstration of accelerators application of the introduced ML concepts in the second lecture.

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The talk

  1. Machine learning applications in BI I 2025-11-28 · 44 min · CERN's player

Credits and licence

Institution
CERN
Department
CAS - CERN Accelerator School
Speaker
Elena Fol
Year
2025
Level
Graduate
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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