000			01196nam a2200229Ia 4500
003			NULRC
005			20250520102719.0
008			250520s9999 xx 000 0 und d
020			_a9781493682225
040			_cNULRC
050			_aQ 335 .H43 2013
100			_aHeaton, Jeff _eauthor
245		0	_aArtificial intelligence for humans : _bvolume 1 fundamental algorithms / _cHeaton, Jeff
260			_aSt. Louis, Missouri : _bHeaton Research, Inc., _cc2013
300			_axxviii, 194 pages : _billustrations ; _c23 cm.
365			_bUSD22.63
504			_aIncludes bibliographical references and index.
505			_a1. Introduction to AI -- 2. Normalization -- 3. Distance metrics -- 4. Random number generation -- 5. K-means clustering -- 6. Error calculation -- 7. Towards machine learning -- 8. Optimization training -- 9. Discrete optimization -- 10. Linear regression.
520			_aThis is the first in a series of books covering select topics in Artificial Intelligence (AI). Artificial Intelligence is a large field that encompasses many sub-disciplines. The following sections introduce both the series and the first volume.
650			_aARTIFICIAL INTELLIGENCE
942			_2lcc _cBK
999			_c13592 _d13592