{
"item_title" : "Machine Learning for Intelligent Decision Science",
"item_author" : [" Jitendra Kumar Rout", "Minakhi Rout", "Himansu Das "],
"item_description" : "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.",
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Machine Learning for Intelligent Decision Science
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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.
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Details
- ISBN-13: 9789811536885
- ISBN-10: 9811536880
- Publisher: Springer
- Publish Date: April 2020
- Dimensions: 9.21 x 6.14 x 0.56 inches
- Shipping Weight: 1.08 pounds
- Page Count: 209
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