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Mathematical Problems in Data Science: Theoretical and Practical Methods Li M. Chen 1st ed. 2015 edition
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其他版本：
Mathematical Problems in Data Science: Theoretical and Practical Methods
Li M. Chen
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods.
213 pages, 22 black & white illustrations, 42 colour illustrations, biography
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2015年12月22日 |
| ISBN13 | 9783319251257 |
| 出版商 | Springer International Publishing AG |
| 页数 | 213 |
| 商品尺寸 | 245 × 165 × 19 mm · 503 g |
| 语言 | 法语 |
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