BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260421T090000
DTEND;TZID=America/Los_Angeles:20260423T120000
DTSTAMP:20260421T050818
CREATED:20210908T213207Z
LAST-MODIFIED:20260310T172524Z
UID:18777-1776762000-1776945600@qcb.ucla.edu
SUMMARY:W17: Machine Learning with Python
DESCRIPTION:This workshop will cover the basic principles involved in the applications mentioned above\, such as pattern recognition\, linear and non-linear regression and cluster analysis. The workshop will be oriented towards hands-on activities\, starting from the basics of how to load and prepare biological datasets in a Python environment.
URL:https://qcb.ucla.edu/event/w17-machine-learning-with-python/
LOCATION:529 Boyer Hall\, 611 Charles E Young Dr E\,\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Workshops,Interactive Workshop
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260421T133000
DTEND;TZID=America/Los_Angeles:20260423T163000
DTSTAMP:20260421T050818
CREATED:20240214T162259Z
LAST-MODIFIED:20260310T172529Z
UID:26326-1776778200-1776961800@qcb.ucla.edu
SUMMARY:W37: Applications of Large Language Models
DESCRIPTION:This 3-day interactive workshop introduces the overarching principles guiding generative modeling and specifically Large-Scale Language Models (LLM)\, their application in Python for inference\, and specific use-cases in Genomics. Experience with Python is necessary\, and basic knowledge about ML workflows is preferred. \nAt the end of this workshop\, you WILL be comfortable with loading\, inferencing and experimenting with state-of-the-art LLMs in Python\, and making small changes to suit your research interests in Genomics. You WILL NOT be exposed to the internal architecture of LLMs and training your own models.
URL:https://qcb.ucla.edu/event/w33-analysis-of-electronic-health-records-2/
LOCATION:529 Boyer Hall\, 611 Charles E Young Dr E\,\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Workshops,Interactive Workshop
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
END:VCALENDAR