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Artificial Intelligence Basics
A Self-Teaching Introduction
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N. Gupta
Language:
English
Published/Copyright:
2020
About this book
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive with numerous modern applications.
Features:
- Covers an introduction to concepts related to AI, including searching processes, knowledge representation, machine learning, expert systems, programming, and robotics
- Includes separate chapters on Prolog and Python to introduce basic programming techniques in AI
Author / Editor information
Gupta N. :
N. Gupta, PhD teaches courses in artificial intelligence and specializes in expert systems.
Mangla R. :
R. Mangla is the proprietor of a large manufacturing company using AI machines.
Reviews
"Artificial Intelligence Basics: A Self-Teaching Introduction covers the basics of AI with a review of its history and basic concepts, as well as early technology surrounding it. Chapters move to the fundamentals of game playing and knowledge, examining programs and hardware alike, before moving into specific programming chapters on Prolog and Python. The sequential learning opportunity, basic AI programming techniques, and inclusion of review questions lends to quick comprehension."
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
March 3, 2020
eBook ISBN:
9781683925149
Paperback published on:
March 18, 2020
Paperback ISBN:
9781683925163
Pages and Images/Illustrations in book
Main content:
203
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
