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First-order and Stochastic Optimization Methods for Machine Learning - Springer Series in the Data Sciences Guanghui Lan 2020 edition
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.
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 16. maja 2021 |
| ISBN13 | 9783030395704 |
| Založniki | Springer Nature Switzerland AG |
| Strani | 582 |
| Dimenzije | 235 × 155 × 35 mm · 888 g |
| Jezik | Nemščina |
Več od istega **izdajatelja**
Ogled vseh Guanghui Lan ( Na primer Hardcover Book in Paperback Book )