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First-order and Stochastic Optimization Methods for Machine Learning - Springer Series in the Data Sciences Guanghui Lan 2020 edition
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First-order and Stochastic Optimization Methods for Machine Learning - Springer Series in the Data Sciences
Guanghui Lan
This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
582 pages, 12 Tables, color; 16 Illustrations, color; 2 Illustrations, black and white; XIII, 582 p.
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 16. mai 2021 |
| ISBN13 | 9783030395704 |
| Utgivere | Springer Nature Switzerland AG |
| Antall sider | 582 |
| Mål | 235 × 155 × 35 mm · 888 g |
| Språk | Tysk |