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(Ebook) Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering) by Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov ISBN 0849382378

  • SKU: EBN-2256356
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5.0

34 reviews
Instant download (eBook) Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering) after payment.
Authors:Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov
Pages:371 pages.
Year:2009
Editon:Har/Cdr
Publisher:EFPL Press
Language:english
File Size:25.28 MB
Format:pdf
ISBNS:0849382378
Categories: Ebooks

Product desciption

(Ebook) Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering) by Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov ISBN 0849382378

This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data.  It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to spatial data. The text also includes real case studies based on environmental and pollution data. It includes a CD-ROM with software that will allow both students and researchers to put the concepts to practice.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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