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EUR 29,67
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 44,42
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Aggiungi al carrelloPaperback. Condizione: New. More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Introducing Mlops: How to Scale Machine Learning in the Enterprise. Book.
EUR 42,96
Quantità: 15 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 45,58
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Da: California Books, Miami, FL, U.S.A.
EUR 49,64
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EUR 53,74
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Aggiungi al carrelloPaperback. Condizione: New. More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 47,06
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 46,29
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 50,26
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 53,53
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Aggiungi al carrelloCondizione: New. 2020. Paperback. . . . . .
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 52,46
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,54
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Da: Revaluation Books, Exeter, Regno Unito
EUR 63,63
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Aggiungi al carrelloPaperback. Condizione: Brand New. 150 pages. 9.50x7.25x0.50 inches. In Stock.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Da: Majestic Books, Hounslow, Regno Unito
EUR 71,40
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 46,12
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Aggiungi al carrelloPaperback. Condizione: New. More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.
EUR 43,71
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EUR 57,74
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Aggiungi al carrelloCondizione: New. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.Über den Autorrnrn.
EUR 49,55
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 67,03
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.
EUR 64,80
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Introducing MLOps | How to Scale Machine Learning in the Enterprise | Adrien Lavoillotte (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | O'Reilly Media | EAN 9781492083290 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 54,23
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.