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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP:20260516T161404Z
UID:A6BB601B-5785-49DE-AA5C-B491D7635258
DTSTART;TZID=America/New_York:20260513T150000
DTEND;TZID=America/New_York:20260513T163000
DESCRIPTION:In this hands-on workshop for Women in Computer Science (WiCS) 
 Conference\, students will explore how computers learn from examples inste
 ad of being given every rule by hand. Through interactive activities like 
 drawing recognition\, fitting a simple prediction model\, and training an 
 image classifier\, students will see how machine learning models make gues
 ses\, learn from mistakes\, and improve with better data. The workshop is 
 designed for students who are curious about AI and want an accessible\, en
 gaging introduction to how modern machine learning works.\n\nSpeaker(s): E
 ric Yan\, Eimaan Saqib\, Fatemeh Shafiei Ardestani\n\nRoom: DC 2585\, Bldg
 : Davis Centre\, 200 University Ave W\, Waterloo\, Ontario\, Canada\, N2L 
 3G1
LOCATION:Room: DC 2585\, Bldg: Davis Centre\, 200 University Ave W\, Waterl
 oo\, Ontario\, Canada\, N2L 3G1
ORGANIZER:mohammad.salahuddin@ieee.org
SEQUENCE:30
SUMMARY:How Machines Learn: From Examples to Models
URL;VALUE=URI:https://events.vtools.ieee.org/m/560078
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In this hands-on workshop for Women in Com
 puter Science (WiCS) Conference\, students will explore how computers lear
 n from examples instead of being given every rule by hand. Through interac
 tive activities like drawing recognition\, fitting a simple prediction mod
 el\, and training an image classifier\, students will see how machine lear
 ning models make guesses\, learn from mistakes\, and improve with better d
 ata. The workshop is designed for students who are curious about AI and wa
 nt an accessible\, engaging introduction to how modern machine learning wo
 rks.&lt;/p&gt;
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