Items related to Introduction to Environmental Data Science
- PublisherCambridge University Press
- Publication date2023
- ISBN 10 1107065550
- ISBN 13 9781107065550
- BindingHardcover
- LanguageEnglish
- Number of pages647
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
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ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science (Hardcover)
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ISBN 10: 1107065550
ISBN 13: 9781107065550
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Hardcover. Condition: 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. Seller Inventory # 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Introduction to Environmental Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1107065550
ISBN 13: 9781107065550
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Hardcover. Condition: Brand New. 500 pages. 9.69x6.69x1.34 inches. In Stock. Seller Inventory # __1107065550
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