Machine Learning for Intelligent Decision Science (1st ed. 2020) (Algorithms for Intelligent Systems)
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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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811536892
- Related ISBNs:
- 9789811536885
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 04/04/20
- Copyrighted By:
- Springer Nature Singapore Pte Ltd.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Jitendra Kumar Rout
- Edited by:
- Minakhi Rout
- Edited by:
- Himansu Das
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- by Jitendra Kumar Rout
- by Minakhi Rout
- by Himansu Das
- in Nonfiction
- in Computers and Internet
- in Technology