01075    a2200157   4500003000400000005001700004008004100021020001800062100001700080245004000097250001200137260003700149300001000186500044000196520028100636OSt20251210142105.0251209b        |||||||| |||| 00| 0 eng d  a9789388480253  aDeshpande R.  aFoundation  Artificial Intelligence  a1st Ed.  bGigatech  Publishing Housec2025  a508pp  aCKey Highlights:

Core AI concepts, search strategies, and knowledge representation

Machine learning foundations (supervised, unsupervised, reinforcement)

Deep learning models (CNNs, RNNs, transformers, attention models)

Natural Language Processing and conversational AI

Modern applications: robotics, computer vision, autonomous systems

Ethics, bias, and societal impact of AI

Practical case studies and problem-solving insights  aThis book offers a structured and curriculum-aligned approach to AI, combining theoretical foundations with practical applications. It is designed to support undergraduate and postgraduate students, educators, and researchers in building a strong understanding of AI concepts.