Machine Learning for Intelligent Decision Science

Book 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.

• Format: Paperback
• Language: English
• ISBN: 9811536910
• ISBN13: 9789811536915
• Release Date: April 2021
• Publisher: Springer
• Length: 209 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"