Machine Learning Methods in the Environmental Sciences

Name: Machine Learning Methods in the Environmental Sciences
Brand: Cambridge University Press
SKU: 9780521791922
Price: 588.5 RON
Availability: InStock

Neural Networks and Kernels

Autor: William W. Hsieh

Limbă:

Legare: Copertă tare

Editura: Cambridge University Press

Disponibilitate: În depozitul extern

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Machine learning methods originated from artificial intelligence and are now used in various fields...

Informații despre carte

Autor

William W. Hsieh

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2009

Pagini

364

EAN

9780521791922

ISBN

0521791928

Enbook ID

02043451

Editura

Cambridge University Press

Greutate

866

Dimensiuni

182 x 256 x 25

Descriere completă

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing web sites for downloading computer code and data sources. A resources website containing datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for researchers and practitioners in environmental sciences interested in applying these new methods to their own work.

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Machine Learning Methods in the Environmental Sciences

Neural Networks and Kernels

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