Machine Learning in Geomechanics 2
Author | : Ioannis Stefanou |
Publisher | : John Wiley & Sons |
Total Pages | : 308 |
Release | : 2024-10-11 |
ISBN-13 | : 9781394325658 |
ISBN-10 | : 1394325657 |
Rating | : 4/5 (57 Downloads) |
Download or read book Machine Learning in Geomechanics 2 written by Ioannis Stefanou and published by John Wiley & Sons. This book was released on 2024-10-11 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.