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Kernel Methods and Machine Learning Kung, S. Y. (Princeton University, New Jersey)
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Kernel Methods and Machine Learning
Kung, S. Y. (Princeton University, New Jersey)
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.
602 pages, 136 b/w illus. 21 tables
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 17. aprila 2014 |
| ISBN13 | 9781107024960 |
| Založniki | Cambridge University Press |
| Strani | 572 |
| Dimenzije | 174 × 255 × 32 mm · 1,23 kg |
| Jezik | Angleščina |
