BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//INFN-LNF - ECPv5.14.2.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:INFN-LNF
X-ORIGINAL-URL:https://w3.lnf.infn.it
X-WR-CALDESC:Eventi per INFN-LNF
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20211220T090000
DTEND;TZID=Europe/Rome:20211221T183000
DTSTAMP:20260510T111416
CREATED:20211015T184751Z
LAST-MODIFIED:20211222T094343Z
UID:31507-1639990800-1640111400@w3.lnf.infn.it
SUMMARY:Machine Learning in High Energy Physics
DESCRIPTION:Machine Learning Training Course for beginners oriented to the High Energy Physics applications \nDue to COVID19 restrinctions\, the participation will be limited to 18 persons in presence and 10 online \nMandatory: \n-To bring your own laptop \n-Super Green Pass COVID19\, if in presence \nPreferable: \n-Python3 already installed \n  \nMaterial: \nhttps://github.com/cfteach/ml4hep \n  \nZOOM CONNECTION \nhttps://cern.zoom.us/j/69104125552?pwd=UmZlQnI0b3hGeHZzcW1CSW9PUmo0dz09 \nMeeting ID: 691 0412 5552 \nPasscode: 174644
URL:/event/machine-learning-in-high-energy-physics/
LOCATION:Aula Salvini
CATEGORIES:Outreach
END:VEVENT
END:VCALENDAR