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Advanced Machine Learning for Geospatial Sciences
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Learning outcomes
Develop and apply deep learning algorithms to analyze different spatial and spatio-temporal data types
Evaluate the performance of the deep learning algorithms, as well as their generalization and transfer capabilities
Understand and account for ethical considerations in applying deep learning algorithms in Geoscience use cases
Explain the core principles of deep learning and other advanced machine learning algorithms (e.g., Convolutional NNs, Recurrent NNs, Transformers) and their relevance to different use cases in Geoscience
Explain the basic concepts of explainable AI techniques for interpreting deep learning model results
UNIVERSITY OF TWENTE
Faculty of Geo-Information Science and Earth Observation
GeoCourseHub at Utwente.nl