Machine Learning in Earth, Environmental and Planetary Sciences - Theoretical and Practical Applications (Paperback)

Machine Learning in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications is a practical guide on implementing different variety of extreme learning machine algorithms to Earth and environmental data. The book provides guided examples using real-world data for numerous novel and mathematically detailed machine learning techniques that can be applied in Earth, environmental, and planetary sciences, including detailed MATLAB coding coupled with line-by-line descriptions of the advantages and limitations of each method. The book also presents common postprocessing techniques required for correct data interpretation. This book provides students, academics, and researchers with detailed understanding of how machine learning algorithms can be applied to solve real case problems, how to prepare data, and how to interpret the results.

General

Imprint:	Elsevier - Health Sciences Division
Country of origin:	United States
Release date:	July 2023
First published:	2023
Authors:	Hossein Bonakdari • Isa Ebtehaj • Joseph Ladouceur
Dimensions:	276 x 216mm (L x W)
Format:	Paperback
Pages:	250
ISBN-13:	978-0-443-15284-9
Categories:	Books
LSN:	0-443-15284-5
Barcode:	9780443152849

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