BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.34.2//EN
X-ORIGINAL-URL:https://positio-lehti.fi/
X-WR-CALNAME:Positio
X-WR-CALDESC:Paikka­tiedon erikois­lehti
X-WR-TIMEZONE:Europe/Helsinki
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
X-LIC-LOCATION:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20260329T040000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20261025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=4SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-dfc30173c2d819d8706f018f2ef5d63e@positio-lehti.fi
DTSTART;TZID=Europe/Helsinki:20240227T120000
DTEND;TZID=Europe/Helsinki:20240227T160000
DTSTAMP:20240122T170334Z
CREATED:20240122
LAST-MODIFIED:20240122
PRIORITY:5
SEQUENCE:3
TRANSP:OPAQUE
SUMMARY:Machine Learning with spatial data –hybrid seminar
DESCRIPTION:\nThe aim of this seminar is to share best practices of Machine Learning with spatial data and to exchange experiences and ideas among spatial Machine Learning researchers and practitioners. The seminar is open and free of charge to everyone interested. The only prerequisite for participation is to have an interest in Machine Learning with spatial data.\n
URL:https://ssl.eventilla.com/geoml_seminar
ORGANIZER;CN=CSC Oy:MAILTO:
CATEGORIES:Seminaari
LOCATION:CSC Training Facilities / Online
ATTACH;FMTTYPE=image/png:https://positio-lehti.fi/wp-content/uploads/2024/01/csc.png
END:VEVENT
END:VCALENDAR