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Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
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Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
296 pages, 50 Line drawings, black and white; 10 Halftones, black and white; 22 Tables, black and wh
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 25. marts |
| ISBN13 | 9780367715113 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 274 |
| Izmēri | 150 × 220 × 20 mm · 539 g |
| Valoda | Angļu |
| Redaktors | Chilamkurti, Naveen (La Trobe University, Melbourne) |
| Redaktors | Hammoudeh, Mohammad (Manchester Metropolitan University) |
| Redaktors | Islam, SK Hafizul (Indian Institute of Information Technology Kalyani) |
| Redaktors | Samanta, Debabrata (CHRIST (Deemed to be University), Bengaluru) |
