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.
Serija: | Algorithms for Intelligent Systems |
Leidėjas: | Springer Nature Singapore |
Išleidimo metai: | 2021 |
Knygos puslapių skaičius: | 224 |
ISBN-10: | 9811536910 |
ISBN-13: | 9789811536915 |
Formatas: | Knyga minkštu viršeliu |
Kalba: | Anglų |
Žanras: | Expert systems / knowledge-based systems |
Parašykite atsiliepimą apie „Machine Learning for Intelligent Decision Science“