Machine Learning for Intelligent Decision Science
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.
- Hakimiliki:
- 2020 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9789811536892
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 2020-05-28T11:36:30Z
- Lugha:
- English
- Kategoria:
- Usage Restrictions:
- This is a copyrighted book.