Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

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Detalles bibliogr�ficos

T�tulo: Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Editor: -
Fecha de publicaci�n: 2009
Idioma: Ingl�s
ISBN 10: 0521791928
ISBN 13: 9780521791922
Encuadernaci�n: Hardcover
Estado: Very Good

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Sinopsis

Machine learning methods are used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of these methods and their applications, and is a valuable resource for advanced undergraduates, graduates, and researchers and practitioners interested in applying such methods to their own work.

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William W. Hsieh is a Professor in the Department of Earth and Ocean Sciences and in the Department of Physics and Astronomy, as well as Chair of the Atmospheric Science Programme, at the University of British Columbia. He is internationally known for his pioneering work in developing and applying machine learning methods in environmental sciences. He has published over eighty peer-reviewed journal publications covering areas of climate variability, machine learning, oceanography, atmospheric science and hydrology.

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