Machine Learning for Intelligent Decision Science

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Synopsis

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.

Book details

Edition:
1st ed. 2020
Series:
Algorithms for Intelligent Systems
Author:
Jitendra Kumar Rout, Minakhi Rout, Himansu Das
ISBN:
9789811536892
Related ISBNs:
9789811536885
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-04-04
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
Springer Nature Singapore Pte Ltd. 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology