Overview
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.
The book, Machine Learning for Intelligent Decision Science (Algorithms for Intelligent Systems) [Bulk, Wholesale, Quantity] ISBN#9789811536915 in Paperback by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Paperback
Publication Date:
04/03/2021
ISBN-13:
9789811536915
Pages:
209
Publisher:
Springer Nature Singapore
