Foundation Artificial Intelligence

Deshpande R.

Foundation Artificial Intelligence - 1st Ed. - Gigatech Publishing House 2025 - 508pp

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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