Generative AI, Large Language Models, Graph Neural Networks, and Knowledge Graphs Applications provides a comprehensive exploration of the transformative technologies reshaping artificial intelligence. The book bridges the gap between advanced AI concepts and their real-world applications, offering readers a robust understanding of how these technologies can solve complex, interdisciplinary problems. Sections cover the foundational principles of Generative AI, LLMs, GNNs, and Knowledge Graphs, highlighting their interconnections and collaborative potential. Through practical examples and real-world case studies, the book illustrates their applications across diverse fields such as healthcare and finance, making complex concepts accessible and actionable.
For academics, researchers, and industry professionals, it offers invaluable insights and practical guidance. By emphasizing hands-on learning and clear explanations, users will find the knowledge and skills necessary to navigate and implement cutting-edge AI technologies, thus ensuring they remain at the forefront of this rapidly evolving field.
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Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Analysis and Security. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences.
Generative AI, Large Language Models, Graph Neural Networks, and Knowledge Graphs Applications provides a comprehensive exploration of transformative technologies reshaping artificial intelligence. This book bridges the gap between advanced AI concepts and their real-world applications, offering readers a robust understanding of how these technologies can solve complex, interdisciplinary problems. The content covers the foundational principles of Generative AI, LLMs, GNNs, and Knowledge Graphs, highlighting their interconnections and collaborative potential. Through practical examples and real-world case studies, it illustrates their applications across diverse fields such as healthcare and finance, making complex concepts accessible and actionable. For academics, researchers, and industry professionals, this book offers invaluable insights and practical guidance. By emphasizing hands-on learning and clear explanations, it equips readers with the knowledge and skills necessary to navigate and implement cutting-edge AI technologies, ensuring they remain at the forefront of this rapidly evolving field.
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 500 pages. 9.25x7.50 inches. In Stock. Artikel-Nr. zk0443445974
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