Clement stenac (13 Ergebnisse)
- Softcover
Anbieter: Rarewaves USA, OSWEGO, IL, USARarewaves USA
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EUR 43,80
Versand nach gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Paperback. Zustand: 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.
Introducing MLOps: How to Scale Machine Learning in the Enterprise
Treveil, Mark; Omont, Nicolas; Stenac, Clément; Lefevre, Kenji; Phan, Du; Zentici, Joachim; Lavoillotte, Adrien; Miyazaki, Makoto; Heidmann, Lynn
- Softcover
Anbieter: California Books, Miami, FL, USACalifornia Books
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EUR 48,94
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Zustand: New.
- Softcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 52,33
Versand nach gratisVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Paperback. Zustand: 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.
Introducing MLOps: How to Scale Machine Learning in the Enterprise
Treveil, Mark; Omont, Nicolas; Stenac, Clément; Lefevre, Kenji; Phan, Du; Zentici, Joachim; Lavoillotte, Adrien; Miyazaki, Makoto; Heidmann, Lynn
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 50,17
EUR 13,88 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: New. In.
- Softcover
Anbieter: Chiron Media, Wallingford, , Vereinigtes KönigreichChiron Media
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EUR 46,20
EUR 17,95 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: New.
- Softcover
Anbieter: THE SAINT BOOKSTORE, Southport, , Vereinigtes KönigreichTHE SAINT BOOKSTORE
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EUR 52,37
EUR 14,88 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 17 verfügbar
Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
Introducing Mlops: How to Scale Machine Learning in the Enterprise
Stenac, Clement/ Dreyfus-schmidt, Leo/ Lefevre, Kenji/ Omont, Nicolas/ Treveil, Mark
- Softcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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EUR 62,78
EUR 11,59 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Paperback. Zustand: Brand New. 150 pages. 9.50x7.25x0.50 inches. In Stock.
Introducing MLOps: How to Scale Machine Learning in the Enterprise
Treveil, Mark; Omont, Nicolas; Stenac, Clément; Lefevre, Kenji; Phan, Du; Zentici, Joachim; Lavoillotte, Adrien; Miyazaki, Makoto; Heidmann, Lynn
- Softcover
Anbieter: Majestic Books, Hounslow, , Vereinigtes KönigreichMajestic Books
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EUR 70,40
EUR 7,53 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 3 verfügbar
Zustand: New.
Introducing MLOps: How to Scale Machine Learning in the Enterprise
Treveil, Mark; Omont, Nicolas; Stenac, Clément; Lefevre, Kenji; Phan, Du; Zentici, Joachim; Lavoillotte, Adrien; Miyazaki, Makoto; Heidmann, Lynn
- Softcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
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EUR 81,68
EUR 3,45 VersandVersand innerhalb von USAAnzahl: 3 verfügbar
Zustand: New. 1st edition NO-PA16APR2015-KAP.
- Softcover
Anbieter: Rarewaves USA United, OSWEGO, IL, USARarewaves USA United
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 45,72
EUR 43,20 VersandVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Paperback. Zustand: 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.
- Softcover
Anbieter: moluna, Greven, , Deutschlandmoluna
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EUR 57,74
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: 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.
- Softcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 48,48
EUR 75,33 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Paperback. Zustand: 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.
- Softcover
- Print-on-Demand
Anbieter: THE SAINT BOOKSTORE, Southport, , Vereinigtes KönigreichTHE SAINT BOOKSTORE
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EUR 54,13
EUR 14,88 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
