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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2023
ISBN 10: 3031318048 ISBN 13: 9783031318047
Da: Revaluation Books, Exeter, Regno Unito
EUR 61,89
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Aggiungi al carrelloPaperback. Condizione: Brand New. 127 pages. 9.25x6.10x0.28 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Nov 2023, 2023
ISBN 10: 3031318048 ISBN 13: 9783031318047
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 42,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment, performance measurement, and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices. Particular emphasis is given to ramping up a solution quickly, detailing skills and techniques to ensure the right things are measured and acted upon for reliable results and high performance.Readers will learn sustainable tools for implementing machine learning with existing IT and privacy policies, including versioning all models, creating documentation, monitoring models and their results, and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized.Organizations that implement all aspects of AI/ML model governance can achieve a high level of control and visibility over how models perform in production, leading to improved operational efficiency and a higher ROI on AI investments. Machine Learning Governance for Managers helps to effectively control model inputs and understand all the variables that may impact your results. Don't let challenges in machine learning hinder your organization's growth - unlock its potential with this essential guide.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 128 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031318048 ISBN 13: 9783031318047
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 42,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine Learning Governance for Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment,performance measurement,and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices.Particular emphasis is given toramping up a solution quickly, detailing skills and techniques to ensure the right things are measured and acted upon for reliable results and high performance.Readers will learn sustainable tools for implementing machine learning with existing IT and privacy policies, including versioning all models, creating documentation, monitoring models and their results, and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized.Organizations that implement all aspects of AI/ML model governance can achieve a high level of control and visibility over how models perform in production, leading to improved operational efficiency and a higher ROI on AI investments. Machine Learning Governance for Managers helps to effectively control model inputs and understand all the variables that may impact your results. Don't let challenges in machine learning hinder your organization's growth - unlock its potential with this essential guide.
Da: Majestic Books, Hounslow, Regno Unito
EUR 60,66
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 63,02
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031318048 ISBN 13: 9783031318047
Da: moluna, Greven, Germania
EUR 38,69
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Helps data science managers to scale and become more data- and AI-drivenHelps break through the complexity and challenges of moving data science and machine learning projects to productionHelps organizations improve results from their data .