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Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 3031705947 ISBN 13: 9783031705946
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Añadir al carritoPaperback. Condición: Brand New. 535 pages. 9.25x6.10x9.21 inches. In Stock.
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ISBN 10: 3031705947 ISBN 13: 9783031705946
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Añadir al carritoPaperback. Condición: new. Paperback. This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024. This book requires an in-depth exploration of machine learning and its integration into system engineering. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoTaschenbuch. Condición: Neu. Machine Learning Methods in Systems | Proceedings of 13th Computer Science On-line Conference 2024, Vol. 4 | Radek Silhavy (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2024 | Springer | EAN 9783031705946 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031705947 ISBN 13: 9783031705946
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Añadir al carritoPaperback. Condición: new. Paperback. This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024. This book requires an in-depth exploration of machine learning and its integration into system engineering. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Publicado por Springer, Springer Okt 2024, 2024
ISBN 10: 3031705947 ISBN 13: 9783031705946
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024. 540 pp. Englisch.
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Publicado por Springer, Springer Okt 2024, 2024
ISBN 10: 3031705947 ISBN 13: 9783031705946
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 540 pp. Englisch.
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