Deep Learning for the Earth Sciences
Language: en
Pages: 436
Authors: Gustau Camps-Valls
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-18 - Publisher: John Wiley & Sons

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DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning i
Deep Learning for Hydrometeorology and Environmental Science
Language: en
Pages: 215
Authors: Taesam Lee
Categories: Science
Type: BOOK - Published: 2021-01-27 - Publisher: Springer Nature

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This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN),
Large-Scale Machine Learning in the Earth Sciences
Language: en
Pages: 314
Authors: Ashok N. Srivastava
Categories: Computers
Type: BOOK - Published: 2017-08-01 - Publisher: CRC Press

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From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth
Introduction to Python in Earth Science Data Analysis
Language: en
Pages: 229
Authors: Maurizio Petrelli
Categories: Science
Type: BOOK - Published: 2021-09-16 - Publisher: Springer Nature

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This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first
Machine Learning Methods in the Environmental Sciences
Language: en
Pages: 364
Authors: William W. Hsieh
Categories: Computers
Type: BOOK - Published: 2009-07-30 - Publisher: Cambridge University Press

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A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.