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Machine Learning in Earth, Environmental and Planetary Sciences

Theoretical and Practical Applications

By: Hossein Bonakdari,Isa Ebtehaj,Joseph D. Ladouceur

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Machine Learning in Earth, Environmental and Planetary Sciences

Theoretical and Practical Applications

By: Hossein Bonakdari,Isa Ebtehaj,Joseph D. Ladouceur

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. - Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary data - Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes - Includes numerous figures, illustrations and tables to help readers better understand the concepts covered

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Page Count

390

Publisher

Elsevier

Published Date

ISBN 10

0443152853

ISBN 13

9780443152856

Machine Learning in Earth, Environmental and Planetary Sciences

Theoretical and Practical Applications

By: Hossein Bonakdari,Isa Ebtehaj,Joseph D. Ladouceur

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning in Earth, Environmental and Planetary Sciences

Theoretical and Practical Applications

By: Hossein Bonakdari,Isa Ebtehaj,Joseph D. Ladouceur

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. - Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary data - Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes - Includes numerous figures, illustrations and tables to help readers better understand the concepts covered

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

390

Publisher

Elsevier

Published Date

ISBN 10

0443152853

ISBN 13

9780443152856