Machine Learning for Spatial Environmental Data: Theory, Applications, and Software, 1st Edition eBook

$30.00

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About this eTextbook

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. ISBNs for Machine Learning for Spatial Environmental Data are 9781439808085, 1439808082 and the print ISBNs are 9780849382376, 0849382378.

Additional ISBNs include 9780429147814.

Publication details

Author: Mikhail Kanevski; Vadim Timonin; Alexi Pozdnukhov
Publisher: EPFL Press

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About this eTextbook

Additional ISBNs include 9780429147814.

Publication details

Author: Mikhail Kanevski; Vadim Timonin; Alexi Pozdnukhov
Publisher: EPFL Press

What you receive

A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.