Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Published by Cambridge University Press, 2010
ISBN 10: 0521181917 ISBN 13: 9780521181914
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press CUP, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Published by Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Paperback. Condition: 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.
Published by Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Published by Cambridge University Press 2018-03-01, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Add to basketPaperback. Condition: 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.
Published by Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Add to basketPaperback. Condition: Brand New. reprint edition. 349 pages. 9.50x6.75x1.00 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Add to basketPaperback. Condition: 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.
Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Published by Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
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Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Hardcover. Condition: 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 multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Published by Cambridge University Press, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
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Add to basketTaschenbuch. Condition: 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.
Published by Cambridge University Press CUP, 2018
ISBN 10: 1108456901 ISBN 13: 9781108456906
Language: English
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Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521791928 ISBN 13: 9780521791922
Language: English
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Add to basketHardcover. Condition: 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.