Abstract
Chapter 12 introduces the reader to the application of machine learning techniques in geology. It provides some basic concepts of machine learning and their implementation in Python, and guides the reader through a geological case study that utilizes machine learning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Petrelli, M. (2021). Machine Learning. In: Introduction to Python in Earth Science Data Analysis. Springer Textbooks in Earth Sciences, Geography and Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-78055-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-78055-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-78054-8
Online ISBN: 978-3-030-78055-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)