Machine Learning with Neural Networks: An Introduction for Scientists and Engineers

Author:   Bernhard Mehlig (Göteborgs Universitet, Sweden)
Publisher:   Cambridge University Press
Edition:   New edition
ISBN:  

9781108494939


Pages:   260
Publication Date:   28 October 2021
Format:   Hardback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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Machine Learning with Neural Networks: An Introduction for Scientists and Engineers


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Author:   Bernhard Mehlig (Göteborgs Universitet, Sweden)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Edition:   New edition
Dimensions:   Width: 17.40cm , Height: 1.60cm , Length: 25.00cm
Weight:   0.660kg
ISBN:  

9781108494939


ISBN 10:   1108494935
Pages:   260
Publication Date:   28 October 2021
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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'... for someone who wants to understand neural networks at a fundamental level, or to code something from scratch, or to make some advances in the core ideas and develop the field as a result, then this book will give you the theoretical framework for doing just that.' Matt Probert, Contemporary Physics


'… for someone who wants to understand neural networks at a fundamental level, or to code something from scratch, or to make some advances in the core ideas and develop the field as a result, then this book will give you the theoretical framework for doing just that.' Matt Probert, Contemporary Physics


Author Information

Bernhard Mehlig is Professor in Physics at the University of Gothenburg, Sweden. His research is focused on statistical physics of complex systems, and he has published extensively in this area. In 2010, he was awarded the prestigious Göran Gustafsson prize in physics for his outstanding research in statistical physics. He has taught a course on machine learning for more than 15 years at the University of Gothenburg.

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