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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2014. gada 17. aprīlis |
| ISBN13 | 9781107024960 |
| Izdevēji | Cambridge University Press |
| Lapas | 572 |
| Izmēri | 174 × 255 × 32 mm · 1,23 kg |
| Valoda | Angļu |
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