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Beschreibung
The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 03. April 2021 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 347 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811536915 |
| Seiten | 209 |