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Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032761474 ISBN 13: 9781032761473
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 175 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032761482 ISBN 13: 9781032761480
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Condition: New. Suman Kumar Swanrkar received a Ph.D. (CSE) degree in 2021 from Kalinga University, Nayaraipur, Chhattisgarh. He received an M.Tech. (CSE) degree in 2015 from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has 12+ years of experie.
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Condition: New.
Language: English
Published by LAP Lambert Academic Publishing, 2026
ISBN 10: 6209859054 ISBN 13: 9786209859052
Seller: Books Puddle, New York, NY, U.S.A.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 192 pages. 9.18x6.12x9.21 inches. In Stock.
Language: English
Published by Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1032761474 ISBN 13: 9781032761473
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Taschenbuch. Condition: Neu. Neuware - This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless.This book will be helpful to computer science, data science, and artificial intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning.
Language: French
Published by Editions Notre Savoir, 2026
ISBN 10: 620990534X ISBN 13: 9786209905346
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Language: Portuguese
Published by Edicoes Nosso Conhecimento, 2026
ISBN 10: 6209913024 ISBN 13: 9786209913020
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Language: Polish
Published by Wydawnictwo Nasza Wiedza, 2026
ISBN 10: 6209910467 ISBN 13: 9786209910463
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Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1032761474 ISBN 13: 9781032761473
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Paperback. Condition: new. Paperback. This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless.This book will be helpful to computer science, data science, and artificial intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning. This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to discuss the potential of machine learning in the realm of multimedia. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.