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.
00:00:00 Slide 1
00:00:02 Slide 2
00:00:56 Slide 3
00:01:36 Slide 4
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00:06:32 Slide 10
00:06:49 Slide 11
The talk
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
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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