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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 25 de marzo de 2022 |
| ISBN13 | 9780367715113 |
| Editores | Taylor & Francis Ltd |
| Páginas | 274 |
| Dimensiones | 150 × 220 × 20 mm · 539 g |
| Lengua | Inglés |
| Editor | Chilamkurti, Naveen (La Trobe University, Melbourne) |
| Editor | Hammoudeh, Mohammad (Manchester Metropolitan University) |
| Editor | Islam, SK Hafizul (Indian Institute of Information Technology Kalyani) |
| Editor | Samanta, Debabrata (CHRIST (Deemed to be University), Bengaluru) |
