Join our mailing list
Get exclusive deals and learn about new products!
Reliable shipping
Flexible returns
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.
Published by: Springer
Publication Date: 2020-04-03
Format: Hardcover
ISBN-13: 9789811536885
DOI: 10.1007/978-981-15-3689-2
Dimensions: 235cm x155cm
Pages: 209