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Unsupervised Learning Algorithms Softcover reprint of the original 1st ed. 2016 edition
Unsupervised Learning Algorithms
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners.
558 pages, 100 Tables, color; 71 Tables, black and white; 101 Illustrations, color; 59 Illustrations
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2018年5月26日 |
| ISBN13 | 9783319795904 |
| 出版商 | Springer International Publishing AG |
| 页数 | 558 |
| 商品尺寸 | 150 × 220 × 10 mm · 850 g |
| 语言 | 德语 |
| 编辑 | Aydin, Kemal |
| 编辑 | Celebi, M. Emre |