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- EditorialSpringer
- Año de publicación2024
- ISBN 10 3031648315
- ISBN 13 9783031648311
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas398
- EditorMutschler Christopher, Münzenmayer Christian, Uhlmann Norman
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Unlocking Artificial Intelligence : From Theory to Applications
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Unlocking Artificial Intelligence : From Theory to Applications
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Unlocking Artificial Intelligence: From Theory to Applications
Librería: California Books, Miami, FL, Estados Unidos de America
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Unlocking Artificial Intelligence (Hardcover)
Publicado por
Springer International Publishing AG, Cham, 2024
ISBN 10: 3031648315
ISBN 13: 9783031648311
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Hardcover. Condición: new. Hardcover. This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783031648311
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Unlocking Artificial Intelligence : From Theory to Applications
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Unlocking Artificial Intelligence
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Springer, Berlin, Springer Nature Switzerland, Fraunhofer Institut Für Integrierte Schaltungen IIS, Springer, 2024
ISBN 10: 3031648315
ISBN 13: 9783031648311
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research. 384 pp. Englisch. Nº de ref. del artículo: 9783031648311
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Unlocking Artificial Intelligence: From Theory to Applications
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Unlocking Artificial Intelligence : From Theory to Applications
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Condición: New. Nº de ref. del artículo: 48203281-n
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Unlocking Artificial Intelligence : From Theory to Applications
Publicado por
Springer Nature Switzerland, 2024
ISBN 10: 3031648315
ISBN 13: 9783031648311
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Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and services is essential for companies to stay competitive. The use of AI allows large volumes of data to be analyzed, patterns and trends to be identified, and well-founded decisions to be made on an informative basis. It also enables the optimization of workflows, the automation of processes and the development of new services, thus creating potential for new business models and significant competitive advantages.The book is divided in two main parts: First, in a theoretically oriented part, various AI/ML-related approaches like automated machine learning, sequence-based learning, deep learning, learning from experience and data, and process-aware learning are explained. In a second part, various applications are presented that benefit from the exploitation of recent research results. These include autonomous systems, indoor localization, medical applications, energy supply and networks, logistics networks, traffic control, image processing, and IoT applications.Overall, the book offers professionals and applied researchers an excellent overview of current exploitations, approaches, and challenges of AI/ML-related research. Nº de ref. del artículo: 9783031648311
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Unlocking Artificial Intelligence
Publicado por
Springer, Berlin|Springer Nature Switzerland|Fraunhofer Institut für Integrierte Schaltungen IIS|Springer, 2024
ISBN 10: 3031648315
ISBN 13: 9783031648311
Nuevo
Tapa dura
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This open access book provides a state-of-the-art overview of current machine learning research and its exploitation in various application areas. It has become apparent that the deep integration of artificial intelligence (AI) methods in products and se. Nº de ref. del artículo: 1691409466
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