Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Añadir al carritohardcover. Condición: Very Good. Cover and edges may have some wear.
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. Endofchapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data. This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range of methods are covered together with the relevant background mathematics. End-of-chapter exercises and online data sets are included. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 84,97
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Añadir al carritoHardcover. Condición: Brand New. 500 pages. 9.69x6.69x1.34 inches. In Stock.
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 81,84
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
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EUR 88,01
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Añadir al carritoCondición: New. 2023. New. hardcover. . . . . .
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 100,07
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Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 109,45
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Añadir al carritoCondición: New. 2023. New. hardcover. . . . . . Books ship from the US and Ireland.
Publicado por Cambridge University Press Mär 2023, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 89,36
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Añadir al carritoBuch. Condición: Neu. Neuware - This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range of methods are covered together with the relevant background mathematics. End-of-chapter exercises and online data sets are included.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 84,66
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Añadir al carritoHardcover. Condición: new. Hardcover. Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. Endofchapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data. This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range of methods are covered together with the relevant background mathematics. End-of-chapter exercises and online data sets are included. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 85,05
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Añadir al carritoCondición: New. Über den AutorWilliam W. Hsieh is a professor emeritus in the Department of Earth, Ocean and Atmospheric Sciences at the University of British Columbia. Known as a pioneer in introducing machine learning to environmental science, he.
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 126,27
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Añadir al carritoHardcover. Condición: Brand New. 500 pages. 9.69x6.69x1.34 inches. In Stock.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 144,86
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Añadir al carritoHardcover. Condición: new. Hardcover. Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. Endofchapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data. This book provides a comprehensive guide to machine learning and statistics for students and researchers of environmental data science. A broad range of methods are covered together with the relevant background mathematics. End-of-chapter exercises and online data sets are included. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.