BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Africa/Nairobi
BEGIN:STANDARD
DTSTART:19420801T001500
TZOFFSETFROM:+0245
TZOFFSETTO:+0300
TZNAME:EAT
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BEGIN:VEVENT
DTSTAMP:20260727T124433Z
UID:2224682C-7CE5-4CB5-A7A2-F4DC58E87800
DTSTART;TZID=Africa/Nairobi:20260808T110000
DTEND;TZID=Africa/Nairobi:20260808T130000
DESCRIPTION:This is a hands on technical session on Machine Learning for Ge
 ospatial Data in the cloud. What will be covered:\n\n- Cloud Dative Data A
 ccess\n- Spatial Machine Learning Foundation.\n- End to End Cloud ML pipel
 ines\n\n[]\n\nVirtual: https://events.vtools.ieee.org/m/569770
LOCATION:Virtual: https://events.vtools.ieee.org/m/569770
ORGANIZER:hamalajulia82@gmail.com
SEQUENCE:18
SUMMARY:Machine Learning for Geospatial Data in The Cloud
URL;VALUE=URI:https://events.vtools.ieee.org/m/569770
X-ALT-DESC:Description: <br /><p>This is a hands on technical session on Ma
 chine Learning for Geospatial Data in the cloud. What will be covered:</p>
 \n<ul>\n<li>Cloud Dative Data Access</li>\n<li>Spatial Machine Learning Fo
 undation.</li>\n<li>End to End Cloud ML pipelines</li>\n</ul>\n<p><img src
 ="https://events.vtools.ieee.org/vtools_ui/media/display/0686c98c-3c72-4dd
 8-b00f-a8f48d48537f" alt="" width="367" height="519"></p>
END:VEVENT
END:VCALENDAR