Machine learning with neural networks: an introduction for scientists and engineers
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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2022
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| Links: | https://doi.org/10.1017/9781108860604 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (ix, 249 Seiten) |
| ISBN: | 9781108860604 |
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| id | ZDB-20-CTM-CR9781108860604 |
| illustrated | Not Illustrated |
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| isbn | 9781108860604 |
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| spelling | Mehlig, Bernhard 1964- Machine learning with neural networks an introduction for scientists and engineers Bernhard Mehlig, University of Gothenburg, Sweden Cambridge Cambridge University Press 2022 1 Online-Ressource (ix, 249 Seiten) txt c cr 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. Erscheint auch als Druck-Ausgabe 9781108494939 |
| spellingShingle | Mehlig, Bernhard 1964- Machine learning with neural networks an introduction for scientists and engineers |
| title | Machine learning with neural networks an introduction for scientists and engineers |
| title_auth | Machine learning with neural networks an introduction for scientists and engineers |
| title_exact_search | Machine learning with neural networks an introduction for scientists and engineers |
| title_full | Machine learning with neural networks an introduction for scientists and engineers Bernhard Mehlig, University of Gothenburg, Sweden |
| title_fullStr | Machine learning with neural networks an introduction for scientists and engineers Bernhard Mehlig, University of Gothenburg, Sweden |
| title_full_unstemmed | Machine learning with neural networks an introduction for scientists and engineers Bernhard Mehlig, University of Gothenburg, Sweden |
| title_short | Machine learning with neural networks |
| title_sort | machine learning with neural networks an introduction for scientists and engineers |
| title_sub | an introduction for scientists and engineers |
| work_keys_str_mv | AT mehligbernhard machinelearningwithneuralnetworksanintroductionforscientistsandengineers |