Machine Learning with Neural Networks
an introduction for scientists and engineers
$152.40
- Hardcover
260 pages
- Release Date
28 October 2021
Summary
Decoding Neural Networks: A Practical Guide to Machine Learning
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-establishe…
Book Details
| ISBN-13: | 9781108494939 |
|---|---|
| ISBN-10: | 1108494935 |
| Author: | Bernhard Mehlig |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 260 |
| Release Date: | 28 October 2021 |
| Weight: | 650g |
| Dimensions: | 250mm x 174mm x 16mm |
What They're Saying
Critics Review
‘… 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
About The Author
Bernhard Mehlig
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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