Foundations future methods models (7 risultati)
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Taschenbuch. Condizione: Neu. The Foundations and Future of AI | Methods, Models, and Machine Intelligence | Poshan Yu (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260023747 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter:… preigu Print on Demand.
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Hardcover. Condizione: new. Hardcover. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Condizione: Neu. The Foundations and Future of AI | Methods, Models, and Machine Intelligence | Poshan Yu (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260023730 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print…on Demand.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI transforms technologies in the modern era, reshaping industries, economies, and societies through simulated human intelligence and automation of complex tasks. Rooted in disciplines like computer science, mathematics, cognitive psych…ology, and data science, AI relies on foundational methods including machine learning, neural networks, and natural language processing to analyze data, recognize patterns, and make decisions. Advances in computational power and the development of sophisticated models accelerate AI's capabilities, enabling breakthroughs in areas like healthcare, robotics, education, and autonomous systems. As researchers push the boundaries of machine intelligence, the future of AI presents both extraordinary opportunities and significant ethical, social, and technological challenges that shape the relationship between humans and intelligent machines. The Foundations and Future of AI: Methods, Models, and Machine Intelligence explores the fundamental principles, techniques, and models that form the basis of AI, including machine learning, neural networks, and data-driven decision-making systems. It examines the future development of machine intelligence, focusing on its potential applications, societal impact, ethical concerns, and the evolving relationship between humans and intelligent technologies. This book covers topics such as predictive modeling, computer vision, and data analysis, and is a useful resource for engineers, academicians, researchers, and scientists.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI transforms technologies in the modern era, reshaping industries, economies, and societies through simulated human intelligence and automation of complex tasks. Rooted in disciplines like computer science, mathematics, cognitive psychology,…and data science, AI relies on foundational methods including machine learning, neural networks, and natural language processing to analyze data, recognize patterns, and make decisions. Advances in computational power and the development of sophisticated models accelerate AI's capabilities, enabling breakthroughs in areas like healthcare, robotics, education, and autonomous systems. As researchers push the boundaries of machine intelligence, the future of AI presents both extraordinary opportunities and significant ethical, social, and technological challenges that shape the relationship between humans and intelligent machines. The Foundations and Future of AI: Methods, Models, and Machine Intelligence explores the fundamental principles, techniques, and models that form the basis of AI, including machine learning, neural networks, and data-driven decision-making systems. It examines the future development of machine intelligence, focusing on its potential applications, societal impact, ethical concerns, and the evolving relationship between humans and intelligent technologies. This book covers topics such as predictive modeling, computer vision, and data analysis, and is a useful resource for engineers, academicians, researchers, and scientists.
