Artificial Intelligence, Machine Learning and Deep Learning

Artificial Intelligence, Machine Learning and Deep Learning is an academic textbook that introduces the core concepts and techniques behind modern intelligent systems. It explains how artificial intelligence is built from foundational ideas such as search, reasoning, and optimization, and then progresses into machine learning methods like supervised and unsupervised learning, before finally covering deep learning architectures such as neural networks. The book is structured to help readers understand both the theoretical foundations and practical applications of AI, with emphasis on how models learn from data and are applied in real-world domains like computer vision, natural language processing, and predictive analytics.