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.
- ISBN:
- 9789811536885
- 9789811536885
-
Category:
- Machine learning
- Format:
- Hardback
- Publication Date:
-
21-06-2020
- Publisher:
- Springer Verlag, Singapore
- Country of origin:
- Singapore
- Pages:
- 209
- Dimensions (mm):
- 235x155mm
- Weight:
- 0.51kg
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