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Forventes på lager: 17-03-2026
This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. This book is a valuable resource for students, practitioners, and researchers integrating statistics and data science techniques to solve impactful real-world problems.
| Forlag | Taylor & Francis Ltd |
| Forfatter | Tianyu Zhan |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgivelsesdato | 17-03-2026 |
| Første udgivelsesår | 2026 |
| Serie | Chapman & Hall/CRC Data Science Series |
| Illustrationer | 31 Tables, black and white; 5 Line drawings, black and white; 5 Illustrations, black and white |
| Originalsprog | United Kingdom |
| Sideantal | 186 |
| Indbinding | Paperback / softback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 186 pages, 31 Tables, black and white; 5 Line drawings, black and white; 5 Illustrations, black and |
| Mål | 234 x 156 |
| ISBN-13 / EAN-13 | 9781041158431 |