Stefanou ioannis – AbeBooks

Condizione: New. &Uumlber den AutorIoannis Stefanou is Associate Professor and Researcher at Laboratoire Navier, Ecole des Ponts Paris Tech, France. Jean Sulem is Full Professor and Senior Researcher at Laboratoire Navier, Ecole des .

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Lingua: Inglese

Editore: Wiley-ISTE, 2024

1789451922 / 9781789451924

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Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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EUR 242,18

EUR 3,60 spedizione

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Quantità: 4 disponibili

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Instabilities Modeling in Geomechanics

Stefano (Corporate Author)

Lingua: Inglese

Editore: Iste/Hermes Science Pub, 2020

1789450004 / 9781789450002

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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EUR 229,19

EUR 14,96 spedizione

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Quantità: 2 disponibili

Hardcover. Condizione: Brand New. 356 pages. 9.45x6.42x1.06 inches. In Stock.

Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- And Thermodynamics-Based Artificial Neural Networks and Reinforcement Learning

Lingua: Inglese

Editore: Wiley-ISTE, 2024

1789451930 / 9781789451931

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Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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Condizione: Nuovo

EUR 242,98

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Quantità: 4 disponibili

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Machine Learning in Geomechanics 2

Ioannis Stefanou

Lingua: Inglese

Editore: John Wiley & Sons Nov 2024, 2024

1789451930 / 9781789451931

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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EUR 209,13

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Quantità: 2 disponibili

Buch. Condizione: Neu. Neuware - 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 ofMachine 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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Stefanou ioannis (47 risultati)

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks (ISTE Consignment)

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Instabilities Modeling in Geomechanics (eng)

Instabilities Modeling in Geomechanics

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Instabilities Modeling in Geomechanics

Instabilities Modeling in Geomechanics

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinforcement Learning (ISTE Consignment)

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks (ISTE Consignment)

Instabilities Modeling in Geomechanics

Instabilities Modeling in Geomechanics

Machine Learning in Geomechanics 1

Instabilities Modeling in Geomechanics (Sciences: Mechanics, Geomechanics)

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Instabilities Modeling

Instabilities Modeling in Geomechanics (Sciences: Mechanics, Geomechanics)

Instabilities Modeling

Instabilities Modeling in Geomechanics

Machine Learning in Geomechanics 2: DataDriven Mo deling, Bayesian Inference, Physics and Thermodyn amicsbased Artificial Neural Networks and Reinfor

Instabilities Modeling

Instabilities Modeling

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Instabilities Modeling in Geomechanics

Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- And Thermodynamics-Based Artificial Neural Networks and Reinforcement Learning

Machine Learning in Geomechanics 2