Springer Textbooks in Earth Sciences, Geography and Environm : Using Python to Solve Geological Problems - Maurizio Petrelli

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Springer Textbooks in Earth Sciences, Geography and Environm

Using Python to Solve Geological Problems

By: Maurizio Petrelli

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Paperback | 23 September 2023

At a Glance

Paperback
228 Pages

Dimensions(cm)
16.0 x 24.2 x 2.0

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$139.75

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This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML, the typical workflow of ML applications in Earth Sciences, and proceeds with reporting how ML algorithms work. The book provides many examples of ML application to Earth Sciences problems in many fields, such as the clustering and dimensionality reduction in petro-volcanological studies, the clustering of multi-spectral data, well-log data facies classification, and machine learning regression in petrology. Also, the book introduces the basics of parallel computing and how to scale ML models in the cloud. The book is devoted to Earth Scientists, at any level, from students to academics and professionals.

Industry Reviews

"This book is essential for anyone planning to apply machine learning to earth science data (including multispectral and hyperspectral imaging). For maximum benefit, the reader should treat it as both an extensive tutorial as well as a bibliography: be prepared to code along with the examples and to look up the references." (Creed Jones, Computing Reviews, January 1, 2024)

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