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Artificial intelligence : a guide to intelligent systems / by Michael Negnevitsky

By: Material type: TextPublication details: Harlow : Pearson, 2025Edition: 4th edDescription: xviii, 580 pISBN:
  • 9781292730851
Subject(s): DDC classification:
  • 006.3 NEG-A
Summary: What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky's Artificial Intelligence: A Guide to Intelligent Systems. Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations.
Item type: Books
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Current library Call number Copy number Status Date due Barcode
UMT Main Campus 006.3 NEG-A (Browse shelf(Opens below)) C.2 Checked out 2026-08-26 152451
UMT Main Campus 006.3 NEG-A (Browse shelf(Opens below)) Available 152203

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What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky's Artificial Intelligence: A Guide to Intelligent Systems. Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations.

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