Artificial Intelligence : A Guide To Intelligent Systems | By Michael Negnevitsky | 3rd Edition | Pearson Publication ( English Medium )

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Artificial Intelligence : A Guide To Intelligent Systems | By Michael Negnevitsky | 3rd Edition | Pearson Publication ( English Medium ).

Artificial Intelligence: A Guide to Intelligent Systems by Michael Negnevitsky, 3rd Edition, published by Pearson Education, serves as a comprehensive introduction to the field of artificial intelligence (AI). This edition is tailored for readers seeking to understand the principles and applications of intelligent systems without delving into complex mathematical formulations.

Key Features

Accessible Content: Designed for readers without a background in calculus or programming, making AI concepts approachable.

Comprehensive Coverage: Explores various AI methodologies, including rule-based systems, fuzzy logic, neural networks, and evolutionary computation.

Practical Applications: Includes real-world examples and case studies to illustrate the implementation of intelligent systems.

Educational Utility: Suitable for undergraduate courses in computer science, information systems, and engineering, as well as for self-study by professionals in other fields.

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Product Details

SKU / BOOK Code:	Pearson-Artificial-Intelli-(E)
Publisher:	Pearson Publication
Author:	Michael Negnevitsky
Binding Type:	Paperback
No. of Pages:	500
ISBN-10:	9353946794
ISBN-13:	978-9353946791
Edition:	3rd Edition
Language:	English Medium
Publish Year:	2025-05
Weight (g):	2500
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Competitive Books
Manufacturer:	Pearson Publication
Importer:	Pearson Publication
Packer:	Fullfilled by Supplier

Product Description

Artificial Intelligence : A Guide To Intelligent Systems | By Michael Negnevitsky | 3rd Edition | Pearson Publication ( English Medium ).

Artificial Intelligence: A Guide to Intelligent Systems by Michael Negnevitsky, 3rd Edition, published by Pearson Education, serves as a comprehensive introduction to the field of artificial intelligence (AI). This edition is tailored for readers seeking to understand the principles and applications of intelligent systems without delving into complex mathematical formulations.

Key Features

Accessible Content: Designed for readers without a background in calculus or programming, making AI concepts approachable.

Comprehensive Coverage: Explores various AI methodologies, including rule-based systems, fuzzy logic, neural networks, and evolutionary computation.

Practical Applications: Includes real-world examples and case studies to illustrate the implementation of intelligent systems.

Educational Utility: Suitable for undergraduate courses in computer science, information systems, and engineering, as well as for self-study by professionals in other fields.

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