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Machine Learning for Spatial Environmental Data: Theory, Applications and Software (Environmental Sciences) - Softcover
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.
"synopsis" may belong to another edition of this title.
- PublisherEPFL Press
- Publication date2020
- ISBN 10 294022224X
- ISBN 13 9782940222247
- BindingPaperback
- LanguageEnglish
- Number of pages392
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