Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels - Image 1

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Cambridge University Press Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

Name: Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Brand: Cambridge University Press
Price: 30.0 GBP
Availability: InStock

Worked examples or Exercises; 116 Line d

AI & Machine Learning

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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 websites for downloading computer code and data sources. A resources website contains 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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Brand: Cambridge University Press
Model: Worked examples or Exercises; 116 Line d
Format: hardcover
ASIN: 0521791928
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 July 2009
Listed Since: 16 December 2008

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Cambridge University Press Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

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