Description
“Artificial Intelligence & Machine Learning” is a comprehensive introductory text designed to provide a strong foundation in the core concepts and practical applications of modern intelligent systems. The book covers fundamental topics such as search algorithms, knowledge representation, supervised and unsupervised learning, neural networks, and deep learning techniques, while also introducing real-world use cases across domains like healthcare, finance, and smart systems. Structured in a clear and student-friendly manner, it integrates theoretical explanations with examples, illustrations, and programming-oriented insights to support hands-on learning. This volume is particularly suitable for undergraduate and postgraduate students in computer science and engineering, as well as professionals seeking to understand and apply AI and ML technologies effectively.
