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Mathematical Problems in Data Science: Theoretical and Practical Methods Li M. Chen 1st ed. 2015 edition
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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
| Media | Böcker Inbunden Bok (Inbunden bok med hårda pärmar och skyddsomslag) |
| Releasedatum | 22 december 2015 |
| ISBN13 | 9783319251257 |
| Utgivare | Springer International Publishing AG |
| Antal sidor | 213 |
| Mått | 245 × 165 × 19 mm · 503 g |
| Språk | Franska |
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