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 typival 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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Springer Textbooks in Earth Sciences, Geography and Environment |
Release date: |
September 2023 |
Authors: |
Maurizio Petrelli
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
209 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-135113-6 |
Categories: |
Books
|
LSN: |
3-03-135113-4 |
Barcode: |
9783031351136 |
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