BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 14.4//EN BEGIN:VTIMEZONE TZID:Mountain Standard Time BEGIN:STANDARD DTSTART:20231102T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=11 TZNAME:Mountain Standard Time TZOFFSETFROM:-0600 TZOFFSETTO:-0700 END:STANDARD BEGIN:DAYLIGHT DTSTART:20230301T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYHOUR=2;BYMINUTE=0;BYMONTH=3 TZNAME:Mountain Daylight Time TZOFFSETFROM:-0700 TZOFFSETTO:-0600 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:\n\nArjun Krishnan\, PhD\nVisiting Associate Professor\nCenter for Health AI\nDepartment of Biomedical Informatics\nUniversity of Colorad o Anschutz\n\n\nThree cool projects\, three key ideas\nIn this talk\, I wi ll pick three projects from our group and use them as the backdrop to desc ribe three key ideas in supervised machine learning (ML): i) Learning patt erns in large molecular networks\, ii) Turning text into numbers\, and iii ) Predicting things about biological samples based on the data collected f rom them. I will end with a discussion of the importance of being really c areful in evaluating the performance of ML models.\n DTEND:20221019T190000Z DTSTAMP:20240328T154135Z DTSTART:20221019T180000Z LOCATION: SEQUENCE:0 SUMMARY:LUNCH & LEARN: Arjun Krishnan\, PhD UID:RFCALITEM638472156950442942 X-ALT-DESC;FMTTYPE=text/html:
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\nArjun Krishnan\, Ph
D
\nVisiting Associate Professor
\nCenter for Health AI
\nDepartment of Biomedical Informatics
\nUniversity of Colorado
Anschutz
\n
\n
\nThree cool projects\, three key i
deas
\nIn this talk\, I will pick three projects from our gr
oup and use them as the backdrop to describe three key ideas in supervised
machine learning (ML): i) Learning patterns in large molecular networks\,
ii) Turning text into numbers\, and iii) Predicting things about biologic
al samples based on the data collected from them. I will end with a discus
sion of the importance of being really careful in evaluating the performan
ce of ML models.