Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning for Earth Sciences: Using Python to Solve Geological Problems

Machine Learning for Earth Sciences: Using Python to Solve Geological Problems

Petrelli, Maurizio

Hardcover

Series: Springer Textbooks in Earth Sciences, Geography and Environm

General ComputersGeneral MathematicsGeneral Science

ISBN10: 3031351134
ISBN13: 9783031351136
Publisher: Springer Nature
Published: Sep 23 2023
Pages: 209
Weight: 1.10
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English

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.

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