000			02041cam a2200313 i 4500
001			931487
003			MBIP
005			20261020103249.0
008			261020t20222024my ao e 000 0 eng
020			_a9786299675815 _qpaperback
040			_aMBIP _beng _cMBIP _dNMA _erda
082	0	4	_223 _a006.3 _bMAR
100	0		_aMarc, M. H., _d1977- _eauthor.
245	1	0	_aHow Does AI Work? : _bWhat are the Key Ingredients of an Al Brain (Al Model)? : How to Build an Al Brain with Data & Machine Learning (ML) Algorithm? / _cMarc M.H.
250			_a2nd Edition, 2024.
264		1	_aPetaling Jaya, Selangor : _bAl Labs Sdn Bhd, _c2004.
264		4	_c©2024.
300			_a94 pages : _bcolour illustrations, colour photographs ; _c18 cm x 25 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
490	1		_aAI QUICK START GUIDE ; _vVOL 2
504			_aBibliography: page 94.
520			_a"Vol 2: How Does AI Work?" by Marc M.H. is a beginner-friendly guide that explains the foundational mechanics and engineering workflows behind artificial intelligence without relying on complex mathematical jargon. The book describes the fundamental shift from traditional programming—where humans write rigid rules—to the machine learning paradigm, where algorithms analyze raw data to discover their own rules and build predictive models. It breaks down the core training framework of data collection, feature extraction, and iterative error correction, while clearly distinguishing between major learning methodologies like supervised, unsupervised, and reinforcement learning. Ultimately, the text provides readers with a conceptual understanding of how these systems perform essential AI tasks, such as classifying data into categories, using regression to predict numerical trends, and clustering unstructured information to find hidden patterns.
650	1	0	_aArtificial intelligence.
650	2	0	_aComputational intelligence.
830		0	_aAI quick start guide ; _vVol 2.
942			_2ddc _cBK _n0
999			_c1554 _d1554