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Machine Learning with Neural Networks: An Introduction for Scientists and Engineers by Bernhard Mehlig (Göteborgs Universitet, Sweden) at Abbey's Bookshop,
Machine Learning with Neural Networks: An Introduction for Scientists and Engineers
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Bernhard Mehlig (Göteborgs Universitet, Sweden)

Machine Learning with Neural Networks

An Introduction for Scientists and Engineers

Bernhard Mehlig (Göteborgs Universitet, Sweden)

$75.95

Hardback

Not in-store but you can order this
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English
Cambridge University Press
28 October 2021
Statistical physics; Machine learning; Neural networks & fuzzy systems
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.
By:  
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Edition:   New edition
Dimensions:   Height: 250mm,  Width: 174mm,  Spine: 16mm
Weight:   660g
ISBN:   9781108494939
ISBN 10:   1108494935
Pages:   260
Publication Date:  
Audience:   Professional and scholarly ,  College/higher education ,  Undergraduate ,  Primary
Format:   Hardback
Publisher's Status:   Active

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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