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A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
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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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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Paperback. Condizione: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock. This item is printed on demand. Codice articolo __1108456901
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
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Machine Learning Methods in the Environmental Sciences
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorWilliam 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. Codice articolo 447231485
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Machine Learning Methods in the Environmental Sciences
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Cambridge University Press 2018-03-01, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Da: Chiron Media, Wallingford, Regno Unito
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Paperback. Condizione: New. Codice articolo 6666-IUK-9781108456906
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Editore:
Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock. Codice articolo x-1108456901
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Machine Learning Methods in the Environmental Sciences (Paperback)
Editore:
Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Da: CitiRetail, Stevenage, Regno Unito
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Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781108456906
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Machine Learning Methods in the Environmental Sciences
Editore:
Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences. Codice articolo 9781108456906
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Machine Learning Methods in the Environmental Sciences (Paperback)
Editore:
Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781108456906
Quantità: 1 disponibili