Foundation Artificial Intelligence
Publication details: Gigatech Publishing House 2025Edition: 1st EdDescription: 508ppISBN:- 9789388480253
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Books | MKSSS s K.B. Joshi Institute of Information Technology Library | MCA | Available (not for issue) | 2891 | KBJP-BK-2891 |
CKey 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
This 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.
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