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Machine Learning for Spatial Environmental Data: Theory, Applications and Software (Environmental Sciences) - Hardcover
Synopsis
The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.
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- PublisherEPFL Press
- Publication date2021
- ISBN 10 0849382378
- ISBN 13 9780849382376
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages392
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Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)
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