Machine Learning for Intelligent Decision Science (1st ed. 2020)

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.