01987cam a2200289 i 4500001000700000003000500007005001700012008003900029020002900068040003000097082001900127100003300146245016600179250002300345264005500368264001200423300007500435336002100510337002500531338002300556490003400579504002700613520096100640650002901601650003201630830003501662931487MBIP20261020103249.0261020t20222024my ao  e      000 0 eng  a9786299675815qpaperback  aMBIPbengcMBIPdNMAerda04223a006.3bMAR0 aMarc, M. H.,d1977-eauthor.10aHow 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.  a2nd Edition, 2024. 1aPetaling Jaya, Selangor :bAl Labs Sdn Bhd,c2004. 4c©2024.  a94 pages :bcolour illustrations, colour photographs ;c18 cm x 25 cm.  2rdacontentatext  2rdamediaaunmediated  2rdacarrieravolume1 aAI QUICK START GUIDE ;vVOL 2  aBibliography: page 94.  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.10aArtificial intelligence.20aComputational intelligence. 0aAI quick start guide ;vVol 2.