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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
Publicado por
Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Publicado por
Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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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
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __1108456901
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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
Nuevo
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Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781108456906
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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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Librería: Chiron Media, Wallingford, Reino Unido
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Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9781108456906
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Machine Learning Methods in the Environmental Sciences
Publicado por
Cambridge University Press, 2017
ISBN 10: 1108456901
ISBN 13: 9781108456906
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: 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. Nº de ref. del artículo: 447231485
Cantidad disponible: Más de 20 disponibles
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Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
Publicado por
Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock. Nº de ref. del artículo: x-1108456901
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Machine Learning Methods in the Environmental Sciences
Publicado por
Cambridge University Press, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9781108456906
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Machine Learning Methods in the Environmental Sciences (Paperback)
Publicado por
Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
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Paperback
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9781108456906
Cantidad disponible: 1 disponibles
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Machine Learning Methods in the Environmental Sciences (Paperback)
Publicado por
Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901
ISBN 13: 9781108456906
Nuevo
Paperback
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9781108456906
Cantidad disponible: 1 disponibles