Machine Learning for Intelligent Decision Science -
-35% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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 innova ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Julkaisija | Springer Nature Singapore |
|---|---|
| Series | Algorithms for Intelligent Systems |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9789811536885 |