BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pycon-apac-2025//speaker//WLRBE3
BEGIN:VTIMEZONE
TZID:PST
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:PST
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pycon-apac-2025-WCJYUQ@pretalx.com
DTSTART;TZID=PST:20250302T130000
DTEND;TZID=PST:20250302T150000
DESCRIPTION:Given the rise of popularity of AI and machine learning\, more 
 and more applications are leveraging on these powerful tools. They open up
  so many possibilities in with proper integration to your system.\n\nThere
  are many aspects of AI and machine learning that can affect its performan
 ce such as <em><b>quality of data\, type of algorithm\, structure of the m
 odels\, and deployment environment</b></em>. However\, one important aspec
 t is often overlooked and frowned upon.\n\n<u><b>Model maintenance and val
 idation</b></u> is often left on the sidelines as users of AI and ML often
  focus on the other aspects. Improving your data for example is a good way
  to increase model performance - on paper. But same as any other software 
 application\, any kind of ML model needs proper maintenance to make sure t
 hat its result is still valid and accurate over time. \n\nThis session wil
 l help us understand how to implement a process of validating and maintain
 ing models using python. We will deal with concepts such as data drift and
  model drift. We will also implement and experiment on different validatio
 n approach.
DTSTAMP:20260310T063109Z
LOCATION:SS 117
SUMMARY:[Workshop] How to validate (and correct) the performance of your ma
 chine learning applications. - Niño R. Eclarin
URL:https://pretalx.com/pycon-apac-2025/talk/WCJYUQ/
END:VEVENT
END:VCALENDAR