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Machine Learning Methods in the Environmental Sciences - Neural Networks and Kernels (Paperback)
Loot Price: R1,138
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Machine Learning Methods in the Environmental Sciences - Neural Networks and Kernels (Paperback)
Expected to ship within 12 - 17 working days
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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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