Artificial Intelligence Basics: A Self-Teaching Introduction

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 ar...

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Bibliographische Detailangaben
1. Verfasser: Gupta, N. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Herndon Mercury Learning and Information [2020]
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Online-Zugang:DE-1046
DE-1043
DE-858
DE-Aug4
DE-859
DE-860
DE-739
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Zusammenfassung: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 roboticsIncludes separate chapters on Prolog and Python to introduce basic programming techniques in AI
Beschreibung:Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Jan 2024)
Beschreibung:1 Online-Ressource (203 Seiten)
ISBN:9781683925149
DOI:10.1515/9781683925149

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