Machine Learning for Intelligent Decision Science
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.
- 2020 Springer
- Book Quality:
- Springer Singapore, Singapore
- Date of Addition:
- Computers and Internet, Nonfiction, Technology,
- Usage Restrictions:
- This is a copyrighted book.
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