Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Añadir al carritoHardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Publicado por Cambridge University Press, 2023
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Idioma: Inglés
Publicado por Cambridge University Press 2022-12-31, 2022
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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Idioma: Inglés
Publicado por Cambridge University Press, 2023
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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.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 500 pages. 9.69x6.69x1.34 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
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EUR 89,36
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. End¿of¿chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: preigu, Osnabrück, Alemania
EUR 94,70
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Añadir al carritoBuch. Condición: Neu. Introduction to Environmental Data Science | William W. Hsieh | Buch | Gebunden | Englisch | 2023 | Cambridge University Press | EAN 9781107065550 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 83,69
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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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 81,07
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 89,92
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: Revaluation Books, Exeter, Reino Unido
EUR 83,20
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Añadir al carritoHardcover. Condición: Brand New. 500 pages. 9.69x6.69x1.34 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: CitiRetail, Stevenage, Reino Unido
EUR 87,64
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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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: Majestic Books, Hounslow, Reino Unido
EUR 121,80
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1107065550 ISBN 13: 9781107065550
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 115,55
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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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.