Machine Learning in Geomechanics 2 : Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinforcement Learning
Book Details
Format
Hardback or Cased Book
Book Series
ISTE Consignment
ISBN-10
1789451930
ISBN-13
9781789451931
Publisher
ISTE Ltd
Imprint
ISTE Ltd
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jan 5th, 2025
Print length
304 Pages
Weight
699 grams
Product Classification:
GeophysicsMachine learning
Ksh 22,500.00
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Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics. The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them. Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
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