Introduction to Environmental Data Science (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 are 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 data sets allow readers to practise analysis of real data.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	2023
Authors:	William W. Hsieh
Format:	Hardcover
Pages:	500
ISBN-13:	978-1-107-06555-0
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Earth & environment > The environment > Management of land & natural resources Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring Books > Computing & IT > Applications of computing > Pattern recognition Books > Earth & environment > Earth sciences > Meteorology > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-107-06555-0
Barcode:	9781107065550

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