Machine Learning for Spatial Environmental Data – Theory, Applications and Software : Theory, Applications and Software
Book Details
Format
Paperback / softback
ISBN-10
294022224X
ISBN-13
9782940222247
Publisher
Presses Polytechniques et Universitaires Romandes
Imprint
Presses Polytechniques et Universitaires Romandes
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 14th, 2026
Print length
392 Pages
Dimensions
2.40 x 1.60 x 0.30 cms
Product Classification:
Business applications
KSh 25,200.00
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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.
Get Machine Learning for Spatial Environmental Data – Theory, Applications and Software by Alexei Pozdnoukhov, Mikhail Kanevski at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Presses Polytechniques et Universitaires Romandes and it has 392 pages.
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