[PDF.19yo] Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)

Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)

[PDF.jf16] Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)

Machine Learning for Spatial  Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov epub
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 | #1164533 in Books |  2009-06-09 | Original language:English | PDF # 1 |  9.60 x1.10 x6.60l,1.85 | File type: PDF | 400 pages

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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 da...

You can specify the type of files you want, for your device.Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences)   |  Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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