Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Sprache: Englisch
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Verlag: Cambridge University Press, 2010
ISBN 10: 0521181917 ISBN 13: 9780521181914
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In den WarenkorbZustand: New. pp. 364 13 Illus.
Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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In den WarenkorbZustand: New. pp. xiii + 349.
Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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In den WarenkorbZustand: New. pp. xiii + 349 Illus.
Verlag: Cambridge University Press CUP, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Verlag: Cambridge University Press, 2018
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Verlag: Cambridge University Press 2018-03-01, 2018
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ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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In den WarenkorbTaschenbuch. Zustand: 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.
Verlag: Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock.
Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
Sprache: Englisch
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Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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 multiple locations in the US or from the UK, depending on stock availability.
Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Sprache: Englisch
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Verlag: Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Verlag: Cambridge University Press, Cambridge, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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.
Verlag: Cambridge University Press CUP, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
Sprache: Englisch
Anbieter: Books Puddle, New York, NY, USA
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In den WarenkorbZustand: New. pp. 364.