BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Digital Research and Education - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Institute for Digital Research and Education
X-ORIGINAL-URL:https://idre.ucla.edu
X-WR-CALDESC:Events for Institute for Digital Research and Education
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:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230804T100000
DTEND;TZID=America/Los_Angeles:20230804T120000
DTSTAMP:20260404T044828
CREATED:20230530T163012Z
LAST-MODIFIED:20230530T163012Z
UID:24077-1691143200-1691150400@idre.ucla.edu
SUMMARY:High Performance Machine Learning Using Scikit-Learn
DESCRIPTION:Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently\, mastering libraries like scikit-learn\, pivotal in the arsenal of machine learning tools\, is of paramount importance.In this session\, we delve into advanced aspects of leveraging the scikit-learn Python library for high-performance machine learning. We will focus on enhancing modeling speed with multicore processors and accelerators\, as well as implementing out-of-core learning. This lecture builds upon the foundational concepts covered in the first session. For optimal benefit\, attendees should possess practical experience in Python programming and a solid understanding of fundamental machine learning concepts. \nAny questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu. \nPresented by the Office of Advanced Research Computing. \nRegister here: https://ucla.zoom.us/meeting/register/tJcrdOupqTsrHdfGk-BQHD6foJjndq7s1T4T
URL:https://idre.ucla.edu/calendar-event/high-performance-machine-learning-using-scikit-learn-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR