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23aff3a9-c52b-41bc-a3d2-478c4b4e2dc3
isSubjectOf
Perform feature engineering to choose, manipulate, and transform geospatial raster and vector data into features that can be used in a ML algorithm
Topics
geospatial vector data
features manipulation
features selection
geospatial raster data
feature engineering
features
features transformation
Machine learning algorithm
Learning outcome of course
Machine Learning for Geospatial Sciences
Label
Perform feature engineering to choose, manipulate, and transform geospatial raster and vector data into features that can be used in a ML algorithm
English
Type
gch:LearningOutcome
UNIVERSITY OF TWENTE
Faculty of Geo-Information Science and Earth Observation
GeoCourseHub at Utwente.nl