Artificial Intelligence
Book Details:
• Author: Pankaj Sharma
• Publisher: S.K. Kataria & Sons
• Edition: Reprint 2013
• Language: English
• Number of Pages: 425
• Binding: Paperback
• Release Date: 01 December 2013
• ISBN: 9789380027050
About the Book:
This book is a comprehensive guide to artificial intelligence and intelligent systems, specially designed for computer science and information technology students. Written by Pankaj Sharma, the book explains AI concepts, reasoning techniques, machine learning, and expert systems in a clear and systematic manner.
The book covers important topics including introduction to artificial intelligence, natural language processing, search algorithms, knowledge representation and reasoning, machine learning, pattern recognition, expert systems, and programming using Prolog and Lisp. It also includes glossary, appendix, and previous years’ solved question papers for academic preparation and self-assessment.
With well-organized chapters and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, AI learning, technical education, and competitive examinations related to artificial intelligence and intelligent systems.
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Description
Book Details:
• Author: Pankaj Sharma
• Publisher: S.K. Kataria & Sons
• Edition: Reprint 2013
• Language: English
• Number of Pages: 425
• Binding: Paperback
• Release Date: 01 December 2013
• ISBN: 9789380027050
About the Book:
This book is a comprehensive guide to artificial intelligence and intelligent systems, specially designed for computer science and information technology students. Written by Pankaj Sharma, the book explains AI concepts, reasoning techniques, machine learning, and expert systems in a clear and systematic manner.
The book covers important topics including introduction to artificial intelligence, natural language processing, search algorithms, knowledge representation and reasoning, machine learning, pattern recognition, expert systems, and programming using Prolog and Lisp. It also includes glossary, appendix, and previous years’ solved question papers for academic preparation and self-assessment.
With well-organized chapters and easy-to-understand explanations, this book serves as an excellent academic and reference resource for university studies, AI learning, technical education, and competitive examinations related to artificial intelligence and intelligent systems.
