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BEGIN:VEVENT
SUMMARY:HSF/IRIS-HEP Machine Learning Training - Intermediate Level  (Virt
 ual)
DTSTART;VALUE=DATE:20260802
DTEND;VALUE=DATE:20260804
UID:134041438958
DESCRIPTION:Event from 2026-08-03 12:30:00+00:00 to 2026-08-04 16:50:00+00
 :00\n\nEvent URL: https://indico.cern.ch/event/1706524/\n\nSpeakers: Richa
  Sharma (University of Puerto Rico (US))\, Valeriia Lukashenko (University
  of Zurich (CH))\, Alexander Moreno Briceño (Universidad Antonio Nariño)
 \, Andres Rios-Tascon (Princeton University)\n\n      \nWe are very exc
 ited to announce a training event on Machine Learning/Deep Learning organi
 sed through the HEP Software Foundation and IRIS-HEP \n \nAll sessions w
 ill take place in the US Eastern Time zone.\nPlease contact the organizers
  (email us) in case of any questions.\nWhat exactly will I learn?\nThe mai
 n objective of this course are\n\n\nTo introduce you to the basics of Mach
 ine learning with examples.\n\n\nTo develop a sense of statistics/data sci
 ence algorithms that goes under the hood of a ML model.\n\n\nExplain the t
 erminology of machine learning.\n\n\nIntroducing you to some Python framew
 orks to start building your first Machine.\n\n\nGetting familiarize with b
 asic ML models that are although very common but can serve as a basic star
 ting point.\n\n\nGetting you prepared to learn on your own once this cours
 e is over.\n\n\nAre there any prerequisites?\nYes! \nHard Prerequisites\n
 Participants should have basic experience with Python\, including writing 
 or modifying simple scripts\, using functions and packages\, and understan
 ding simple error messages. You should also be able to run and edit a Jupy
 ter Notebook or Google Colab notebook\, use basic terminal commands\, and 
 install Python packages when needed. A working Python environment is requi
 red\; Google Colab will be supported\, although a local conda\, mamba\, or
  pip environment is encouraged for the exercises.\nSoft Prerequisites\nBas
 ic familiarity with functions\, vectors and matrices\, derivatives\, proba
 bility\, and statistics will be helpful. Prior experience with NumPy\, Pan
 das\, plotting\, Scikit-Learn\, PyTorch\, Git\, machine learning\, or HEP 
 data analysis is useful but not required. The course is intended for parti
 cipants with different levels of ML experience\, but it will not provide a
 n introduction to Python programming.\nWho is supporting this?\nThis event
  is supported by CERN and U.S. National Science Foundation Cooperative Agr
 eement PHY-2323298 (IRIS-HEP).\nWho is teaching this thing?\nThis is a han
 ds-on training and consists of live lectures by the instructors via Zoom.
   Along with this\, there are mentors who will give individual attention 
 and to debug assistance to participants via chat tools.  The people filli
 ng these roles are listed below.  \nInstructors: \n\n\n\nArghya Chattop
 adhyay (University of Puerto Rico Mayaguez)\n\n\n\nMentors (on Slack): \n
 \nQuinn Campagna (University of Mississippi)\nMateo E Lisondo (University 
 of Puerto Rico Mayaguez)\nKaran Singh \nAashirvad (Manipal Academy of Hig
 her Education)\nJuvenal Bassa (University of Puerto Rico Mayaguez)\n\n\nht
 tps://indico.cern.ch/event/1706524/
LOCATION:Virtual
END:VEVENT
BEGIN:VEVENT
SUMMARY:ICHEP 2026
DTSTART;VALUE=DATE:20260729
DTEND;VALUE=DATE:20260805
UID:259556012727
DESCRIPTION:https://ichep2026.org/
LOCATION:
END:VEVENT
BEGIN:VEVENT
SUMMARY:Training WG Planning Meeting
DTSTART;VALUE=DATE-TIME:20260810T140000Z
DTEND;VALUE=DATE-TIME:20260810T150000Z
UID:245110954643
DESCRIPTION:Event URL: https://indico.cern.ch/event/1691898/\n\nhttps://in
 dico.cern.ch/event/1691898/\n\nZoom: https://cern.zoom.us/j/62271073876?pw
 d=cFlvVCs1RUlVWTd4UlVJSFNQQU1LQT09
LOCATION:Virtual (CERN)
END:VEVENT
BEGIN:VEVENT
SUMMARY:HEP Software Foundation Coordination Meeting (CANCELLED) [Cancelle
 d]
DTSTART;VALUE=DATE-TIME:20260813T130000Z
DTEND;VALUE=DATE-TIME:20260813T140000Z
UID:165754127105
DESCRIPTION:Event URL: https://indico.cern.ch/event/1606613/\n\nhttps://in
 dico.cern.ch/event/1606613/\n\nZoom: https://cern.zoom.us/j/68918153213?pw
 d=M0lMb29lR2FUdXljNnh3bk9XUjloZz09
LOCATION:
END:VEVENT
BEGIN:VEVENT
SUMMARY:Computational HEP Traineeship Summer School 2026
DTSTART;VALUE=DATE:20260809
DTEND;VALUE=DATE:20260814
UID:127909018212
DESCRIPTION:https://indico.cern.ch/event/1672591/
LOCATION:
END:VEVENT
BEGIN:VEVENT
SUMMARY:Geneva School Holidays
DTSTART;VALUE=DATE:20260628
DTEND;VALUE=DATE:20260816
UID:294517492399
DESCRIPTION:Geneva School Holidays
LOCATION:
END:VEVENT
BEGIN:VEVENT
SUMMARY:Training WG Planning Meeting
DTSTART;VALUE=DATE-TIME:20260817T140000Z
DTEND;VALUE=DATE-TIME:20260817T150000Z
UID:361671535096
DESCRIPTION:Event URL: https://indico.cern.ch/event/1691899/\n\nhttps://in
 dico.cern.ch/event/1691899/\n\nZoom: https://cern.zoom.us/j/62271073876?pw
 d=cFlvVCs1RUlVWTd4UlVJSFNQQU1LQT09
LOCATION:Virtual (CERN)
END:VEVENT
BEGIN:VEVENT
SUMMARY:Advance the HEP C++ Course - monthly jour fixe
DTSTART;VALUE=DATE-TIME:20260819T130000Z
DTEND;VALUE=DATE-TIME:20260819T140000Z
UID:599475814465
DESCRIPTION:Event URL: https://indico.cern.ch/event/1616724/\n\nhttps://in
 dico.cern.ch/event/1616724/\n\nZoom: https://cern.zoom.us/j/65336626082?pw
 d=dkY2UHFpSVFQalRiSjJtOG5MaXlJZz09
LOCATION:32/S-C22 (CERN)
END:VEVENT
BEGIN:VEVENT
SUMMARY:Training WG Planning Meeting
DTSTART;VALUE=DATE-TIME:20260824T140000Z
DTEND;VALUE=DATE-TIME:20260824T150000Z
UID:316077251666
DESCRIPTION:Event URL: https://indico.cern.ch/event/1691900/\n\nhttps://in
 dico.cern.ch/event/1691900/\n\nZoom: https://cern.zoom.us/j/62271073876?pw
 d=cFlvVCs1RUlVWTd4UlVJSFNQQU1LQT09
LOCATION:Virtual (CERN)
END:VEVENT
BEGIN:VEVENT
SUMMARY:HEP Software Foundation Coordination Meeting
DTSTART;VALUE=DATE-TIME:20260827T130000Z
DTEND;VALUE=DATE-TIME:20260827T140000Z
UID:252470577841
DESCRIPTION:Event URL: https://indico.cern.ch/event/1606614/\n\nhttps://in
 dico.cern.ch/event/1606614/\n\nZoom: https://cern.zoom.us/j/68918153213?pw
 d=M0lMb29lR2FUdXljNnh3bk9XUjloZz09
LOCATION:
END:VEVENT
BEGIN:VEVENT
SUMMARY:Training WG Planning Meeting
DTSTART;VALUE=DATE-TIME:20260831T140000Z
DTEND;VALUE=DATE-TIME:20260831T150000Z
UID:234849711402
DESCRIPTION:Event URL: https://indico.cern.ch/event/1691901/\n\nhttps://in
 dico.cern.ch/event/1691901/\n\nZoom: https://cern.zoom.us/j/62271073876?pw
 d=cFlvVCs1RUlVWTd4UlVJSFNQQU1LQT09
LOCATION:Virtual (CERN)
END:VEVENT
BEGIN:VEVENT
SUMMARY:LHCC
DTSTART;VALUE=DATE:20260830
DTEND;VALUE=DATE:20260904
UID:300395549461
DESCRIPTION:LHCC
LOCATION:
END:VEVENT
BEGIN:VEVENT
SUMMARY:Fast Machine Learning for Science Workshop 2026
DTSTART;VALUE=DATE:20260830
DTEND;VALUE=DATE:20260904
UID:311101007416
DESCRIPTION:http://indi.to/fastml26
LOCATION:
END:VEVENT
END:VCALENDAR