Machine learning methods in geoscience /

This book presents the theory of machine learning (ML) algorithms and their applications to geoscience problems. More than half of the described algorithms fall under the class of neural network methods. Their description is at a level that can be understood by anyone with a modest background in lin...

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Bibliographic Details
Main Authors:	Schuster, Gerard Thomas, 1950- (Author), Chen, Yuqing, 1989- (Author), Shi, Yongxiang, 1996- (Author), Feng, Shihang, 1991- (Author), Liu, Zhaolun, 1989- (Author), Feng, Zongcai, 1991- (Author), Huang, Yunsong, 1973- (Author), Yang, Yan, 1985- (Author), Gautam, Tushar, 1997- (Author)
Format:	Book
Language:	English
Published:	Houston : Society of Exploration Geophysicists, [2024].
Series:	Geophysical development series ; v. 19.
Subjects:	Geology > Data processing. Artificial intelligence > Geophysical applications.

Description
Summary:	This book presents the theory of machine learning (ML) algorithms and their applications to geoscience problems. More than half of the described algorithms fall under the class of neural network methods. Their description is at a level that can be understood by anyone with a modest background in linear algebra, calculus and probability.
Physical Description:	xxxiv, 894 pages : color illustrations ; 29 cm.
Bibliography:	Includes bibliographical references (pages 824-890) and index.
ISBN:	1560804033 9781560804031