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UID:eventsphere-61872@www.knowafest.com
DTSTAMP:20261008T154145Z
DTSTART:20240507T183000Z
DTEND:20240510T182959Z
SUMMARY:Machine Learning for GIS and Remote Sensing 2024
LOCATION:Mepco Schlenk Engineering College\, Sivakasi
DESCRIPTION:<p>This course is designed to equip faculty members\, researche
 rs\, and professionals with an opportunity to enhance their knowledge and 
 skills in the field of Machine Learning and Deep Learning in QGIS and ArcG
 IS as applied for geospatial analysis\, namely Geographic Information Syst
 ems (GIS) and Remote Sensing. This course is designed to take users who us
 e QGIS &amp\; ArcGIS for basic geospatial data/GIS/Remote Sensing analysis
  to perform more advanced geospatial analysis tasks including object-based
  image analysis using a variety of different data and applying Deep Learni
 ng &amp\; Machine Learning state of the art algorithms. In the course\, pa
 rticipants will be able to apply such Machine Learning algorithms as Rando
 m Forest\, Support Vector Machines\, Decision Trees\, Convolutional Neural
  Networks (and others) for Remote Sensing and geospatial tasks. By the end
  of the course\, participants will feel confident and completely understan
 d the Machine and Deep Learning applications in Remote Sensing &amp\; GIS 
 technology and how to use Machine and Deep Learning algorithms for various
  Remote Sensing &amp\; GIS tasks\, such as land use and land cover mapping
  (classifications) and object-based image analysis (segmentation\, object 
 detection) and regression modeling in QGIS and ArcGIS software. This cours
 e will also prepare users for using GIS with open source and free tools (Q
 GIS) and a market-leading software (ArcGIS)</p>
URL:https://www.knowafest.com/machine-learning-for-gis-and-remote-sensing-2
 024
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