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Understanding Machine Learning: From Theory to Algorithms Shalev-Shwartz, Shai (Hebrew University of Jerusalem)
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Understanding Machine Learning: From Theory to Algorithms
Shalev-Shwartz, Shai (Hebrew University of Jerusalem)
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners.
424 pages, 47 b/w illus. 123 exercises
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2014. gada 19. maijs |
| ISBN13 | 9781107057135 |
| Izdevēji | Cambridge University Press |
| Lapas | 410 |
| Izmēri | 261 × 186 × 27 mm · 970 g |
| Valoda | Angļu |
