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Machine Learning with Neural Networks: An Introduction for Scientists and Engineers
Bernhard MehligHow much do you like this book?
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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.
Categories:
Year:
2021
Edition:
New
Publisher:
Cambridge University Press
Language:
english
Pages:
350
ISBN 10:
1108494935
ISBN 13:
9781108494939
File:
PDF, 9.26 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2021
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