Kernel Methods and Machine Learning
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2329 Kč 2 493 Kč
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Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.
| Autor: | Kung, S. Y. (Princeton University, New Jersey) |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9781107024960 |
| Rok vydání: | CZE |
| Jazyk : | Čeština |
| Vazba: | CZE |
| Počet stran: | CZE |
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