Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology) book cover by Jyotismita Chaki

Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology) [9789819953325]

Name: Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology) [9789819953325]
SKU: 9789819953325
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Author: Jyotismita Chaki

Paperback

SKU: 9789819953325

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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

Paperback

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Overview

This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.

The book, Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology) [Bulk, Wholesale, Quantity] ISBN#9789819953325 in Paperback by Jyotismita Chaki may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:

Jyotismita Chaki

Format:

Paperback

Publication Date:

08/07/2023

ISBN-13:

9789819953325

Pages:

101

Publisher:

Springer Nature Singapore

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