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Working with Artificial Intelligence

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Working with Artificial Intelligence

Working with Artificial Intelligence


Book Details

  • Publisher: S.K. KATARIA & SONS
  • Author: Pankaj Sharma
  • Language: English
  • Edition: 2010
  • Pages: 400
  • Cover: Paperback
  • ISBN: 9789350140772
  • Dimensions: 9.4 x 7.2 x 0.7 inches

About the Book

This comprehensive book by Pankaj Sharma provides detailed knowledge of Artificial Intelligence and Expert Systems for students of computer science information technology and software engineering. The book explains important AI concepts techniques and applications in a clear and systematic manner making it suitable for academic learning university examinations and technical reference.

The book covers key topics such as search algorithms heuristic and solution guaranteed algorithms knowledge representation natural language processing learning planning and implementation tools in expert systems. It also introduces advanced concepts including artificial neural networks fuzzy logic and genetic algorithms which are widely used in modern intelligent systems and machine learning applications.

Additional sections on programming languages such as Prolog and Lisp glossary and index help readers strengthen conceptual understanding and practical programming knowledge in artificial intelligence. The organized presentation and student-friendly explanations make this book a valuable academic resource for learners interested in AI intelligent systems and computational problem solving.

$2.02

Original: $5.77

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Working with Artificial Intelligence

$5.77

$2.02

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Description


Book Details

  • Publisher: S.K. KATARIA & SONS
  • Author: Pankaj Sharma
  • Language: English
  • Edition: 2010
  • Pages: 400
  • Cover: Paperback
  • ISBN: 9789350140772
  • Dimensions: 9.4 x 7.2 x 0.7 inches

About the Book

This comprehensive book by Pankaj Sharma provides detailed knowledge of Artificial Intelligence and Expert Systems for students of computer science information technology and software engineering. The book explains important AI concepts techniques and applications in a clear and systematic manner making it suitable for academic learning university examinations and technical reference.

The book covers key topics such as search algorithms heuristic and solution guaranteed algorithms knowledge representation natural language processing learning planning and implementation tools in expert systems. It also introduces advanced concepts including artificial neural networks fuzzy logic and genetic algorithms which are widely used in modern intelligent systems and machine learning applications.

Additional sections on programming languages such as Prolog and Lisp glossary and index help readers strengthen conceptual understanding and practical programming knowledge in artificial intelligence. The organized presentation and student-friendly explanations make this book a valuable academic resource for learners interested in AI intelligent systems and computational problem solving.

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