000			01087nam a22002417a 4500
005			20260421143046.0
008			260403s2025 |||||||| |||| 00| 0 eng d
020			_a9781292730851
040			_cPK-LaUMT
082			_a006.3 _bNEG-A
100	1		_aNegnevitsky, Michael _910288
245	1	0	_aArtificial intelligence : _ba guide to intelligent systems / _cby Michael Negnevitsky
250			_a4th ed.
260			_aHarlow : _bPearson, _c2025
300			_axviii, 580 p.
500			_aIndex present
520			_aWhat 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.
546			_aEng
650			_aArtificial intelligence
650			_aMachine learning
650			_aComputer science
942			_cBK
999			_c140296 _d140296