Omnipresence of Intelligent Systems in Modern Society (eBook, PDF)
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Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence. This book explores the latest developments in computational systems and its diverse applications. The focuses on both theoretical foundations and practical implementations of computational algorithms in developing intelligent systems, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book explores how visual computing, Artificial Intelligence and Machine Learning could potentially be used to provide re...
Computational intelligence has emerged as a pivotal field at the intersection of computer science and artificial intelligence. This book explores the latest developments in computational systems and its diverse applications. The focuses on both theoretical foundations and practical implementations of computational algorithms in developing intelligent systems, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. Notably, the book explores how visual computing, Artificial Intelligence and Machine Learning could potentially be used to provide real-time decision support to both researchers and practitioners. In conclusion, it aims to be a definitive resource for those seeking a deep understanding of the rapidly evolving field of computational intelligence. The book's structure, content, and focus on practical applications position it as a valuable asset for both researchers and practitioners in the Artificial Intelligence and Machine Learning communities.
The book is designed for researchers, academics, and professionals working in the fields of computer science, artificial intelligence, and machine learning. It is also suitable for graduate students seeking a thorough understanding of computational intelligence concepts and
their real-world applications.
The book is designed for researchers, academics, and professionals working in the fields of computer science, artificial intelligence, and machine learning. It is also suitable for graduate students seeking a thorough understanding of computational intelligence concepts and
their real-world applications.
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