BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//qgis-uc2025//talk//CP8F9G
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-qgis-uc2025-CP8F9G@talks.staging.osgeo.org
DTSTART;TZID=CET:20250603T143000
DTEND;TZID=CET:20250603T150000
DESCRIPTION:Machine learning and AI is transforming the way we analyze spat
 ial data\, but for many GIS users\, it still feels like an advanced and in
 accessible field. In this session we will bridge that gap\, no prior knowl
 edge needed!\n\nWe’ll start by breaking down the three main types of mac
 hine learning tasks applicable in GIS: classification\, regression\, and c
 lustering. Then\, we’ll bring these concepts to life with practical exam
 ples\, showing how to effectively apply machine learning to solve spatial 
 challenges.\n\nWhether you are curious about machine learning or looking f
 or ways to enhance your GIS analysis\, this presentation will equip you wi
 th the knowledge and tools to go from zero to hero!
DTSTAMP:20260513T013524Z
LOCATION:Birollen
SUMMARY:From Zero to Hero: Get Started with Machine Learning in GIS - Hanna
  Swedenklef
URL:https://talks.staging.osgeo.org/qgis-uc2025/talk/CP8F9G/
END:VEVENT
END:VCALENDAR