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Añadir al carritoTaschenbuch. Condición: Neu. AI with Cloud Computing: Unlocking the Power of Distributed Learning | Cloud Computing | Ruchika Bhakhar (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207483945 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Scalable AI with Cloud Computing: Unlocking the Power of Distributed Learning' offers a comprehensive exploration of the intersection between artificial intelligence (AI) and cloud computing, presenting readers with a roadmap for harnessing the full potential of distributed learning in scalable AI applications. The book begins with an introduction to the fundamental concepts of AI and cloud computing, laying the groundwork for understanding how these technologies can be integrated to address the challenges of handling large-scale datasets and complex AI models.Throughout the chapters, readers are guided through the foundational principles of cloud infrastructure, distributed learning frameworks, and scalable data management solutions. Key topics include the architecture of distributed learning algorithms, the design of scalable AI pipelines, and the deployment of AI models in cloud environments. Real-world case studies and best practices provide insights into how organizations can leverage scalable AI to drive innovation and gain a competitive edge in their respective industries.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Scalable AI with Cloud Computing: Unlocking the Power of Distributed Learning' offers a comprehensive exploration of the intersection between artificial intelligence (AI) and cloud computing, presenting readers with a roadmap for harnessing the full potential of distributed learning in scalable AI applications. The book begins with an introduction to the fundamental concepts of AI and cloud computing, laying the groundwork for understanding how these technologies can be integrated to address the challenges of handling large-scale datasets and complex AI models.Throughout the chapters, readers are guided through the foundational principles of cloud infrastructure, distributed learning frameworks, and scalable data management solutions. Key topics include the architecture of distributed learning algorithms, the design of scalable AI pipelines, and the deployment of AI models in cloud environments. Real-world case studies and best practices provide insights into how organizations can leverage scalable AI to drive innovation and gain a competitive edge in their respective industries.