Computational Intelligence: From Foundations to Intelligent Systems provides a comprehensive introduction to the principles, methodologies, and applications of intelligent computational systems. The book covers fundamental concepts of machine learning, concept learning, hypothesis spaces, neural networks, evolutionary algorithms, clustering techniques, ensemble learning, and modern intelligent systems.

Designed for undergraduate and postgraduate students in Computer Science, Artificial Intelligence, and related disciplines, the text combines theoretical foundations with practical examples and problem-solving approaches. Real-world applications in healthcare, agriculture, automation, pattern recognition, and data analytics are presented to help readers understand the transformative role of computational intelligence in modern society.

The book serves as a valuable resource for students, educators, researchers, and professionals seeking a structured and application-oriented understanding of intelligent systems and their underlying computational principles.

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