BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pydata-london-2026//talk//SKBDNF
BEGIN:VTIMEZONE
TZID:GMT
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:GMT
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:BST
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pydata-london-2026-SKBDNF@pretalx.com
DTSTART;TZID=GMT:20260605T090000
DTEND;TZID=GMT:20260605T103000
DESCRIPTION:Your model is well-calibrated on average\, but is it calibrated
  for *every subgroup* of your users?  In this hands-on tutorial you will l
 earn what multicalibration is\, why standard calibration methods leave sys
 tematic errors hidden in subpopulations\, why this matters for ML models i
 n production\, and how to fix it in a few lines of code using MCGrad\, an 
 open-source Python library that has been battle-tested on hundreds of prod
 uction models at a large tech company.  Attendees will leave with a workin
 g notebook they can immediately apply to their own projects.
DTSTAMP:20260602T223346Z
LOCATION:Hardwick Hub
SUMMARY:Beyond ML Model Calibration: Hands-On Multicalibration with MCGrad 
 - Niek Tax
URL:https://pretalx.com/pydata-london-2026/talk/SKBDNF/
END:VEVENT
END:VCALENDAR