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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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781108456906
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Librería: Revaluation Books, Exeter, Reino Unido
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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Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9781108456906
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Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Nº de ref. del artículo: C9781108456906
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 364 Reprint edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26379592801
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Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 364. Nº de ref. del artículo: 383229886
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 364. Nº de ref. del artículo: 18379592811
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Librería: Revaluation Books, Exeter, Reino Unido
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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