Machine Learning in Geomechanics 1

Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks de

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Éditeur :

Wiley-ISTE


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ISTE Consignment

Paru le : 2024-10-10

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Description

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.
Pages
272 pages
Collection
ISTE Consignment
Parution
2024-10-10
Marque
Wiley-ISTE
EAN papier
9781789451924
EAN PDF
9781394325559

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
272
Taille du fichier
12913 Ko
Prix
148,86 €
EAN EPUB
9781394325627

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
272
Taille du fichier
9974 Ko
Prix
148,86 €