Artificial intelligence : a guide to intelligent systems / by Michael Negnevitsky
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TextPublication details: Harlow : Pearson, 2025Edition: 4th edDescription: xviii, 580 pISBN: - 9781292730851
- 006.3 NEG-A
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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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| 006.3 MUN-F Fundamentals of the new artificial intelligence | 006.3 NEA-C Contemporary artificial intelligence | 006.3 NEG-A Artificial intelligence : a guide to intelligent systems / | 006.3 NEG-A Artificial intelligence : a guide to intelligent systems / | 006.3 NEU- Neural networks for knowledge peresentation and inference | 006.3 NEU- Neural network design / | 006.3 NIL-A Artificial intelligence: |
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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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