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- Machine Learning for GIS and Remote Sensing 2024
Machine Learning for GIS and Remote Sensing 2024, Mepco Schlenk Engineering College, Workshop, Sivakasi, Tamil Nadu, 8th - 10th May 2024
View Event Website Brochure Link
- Event Type:
- Venue/Offline Mode
- Start Date :
- 8th May 2024
- End Date :
- 10th May 2024
- Location :
- Sivakasi, Tamil Nadu
- Organizer :
- Mepco Schlenk Engineering College
- Category :
- Workshop
About Event
This course is designed to equip faculty members, researchers, and professionals with an opportunity to enhance their knowledge and skills in the field of Machine Learning and Deep Learning in QGIS and ArcGIS as applied for geospatial analysis, namely Geographic Information Systems (GIS) and Remote Sensing. This course is designed to take users who use QGIS & 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 Learning & Machine Learning state of the art algorithms. In the course, participants will be able to apply such Machine Learning algorithms as Random 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 understand the Machine and Deep Learning applications in Remote Sensing & GIS technology and how to use Machine and Deep Learning algorithms for various Remote Sensing & 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 course will also prepare users for using GIS with open source and free tools (QGIS) and a market-leading software (ArcGIS)
Events
Basics of Machine Learning and Machine Learning in GIS
Open-source GIS and Remote Sensing software tools
supervised and unsupervised learning and their applications in GIS
Apply Machine Learning image classification in QGIS and ArcGIS
Run segmentation and object-based image analysis in QGIS and ArcGIS
Apply regression modelling for GIS tasks
Understand the main developments in the field of Artificial Intelligence, deep learning and machine learning as applied to GIS
Projects on Machine Learning and Deep Learning
Basics of deep learning as a part of machine learning
Event Guests
Industrial and Domain Experts
Departments:
ITAccommodation
Accommodation will be provided within the college campus on request at a nominal cost.
How to reach Mepco Schlenk Engineering College, Sivakasi
Mepco Schlenk Engineering College Mepco Nagar, Mepco Engineering College Post-626005 Sivakasi, Tamilnadu, India
Certificates will be provided to Participants
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