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Introducing MLOps: How to Scal
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
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The Development of Early Medieval and Later Poultry and Cheapside: Excavations at 1 Poultry and Vicinity, City of London (MoLAS Monograph)
Language: English
Published by Museum of London Archaeology, 2011
ISBN 10: 1901992950 ISBN 13: 9781901992953
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Good. Back hinge of spine has a small tear. Cover/edges have minor denting/scuffing.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condition: 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.
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Introducing Mlops: How to Scale Machine Learning in the Enterprise (Paperback or Softback)
Language: English
Published by O'Reilly Media 12/22/2020, 2020
ISBN 10: 1492083291 ISBN 13: 9781492083290
Paperback or Softback. Condition: New. Introducing Mlops: How to Scale Machine Learning in the Enterprise. Book.
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Introducing MLOps
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 49.41
US$ 5.56 shipping
Ships from United Kingdom to U.S.A.Quantity: 15 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Introducing MLOps
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Introducing MLOps : How to Scale Machine Learning in the Enterprise
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 49.40
US$ 20.03 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New.
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Condition: As New. Unread book in perfect condition.
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Introducing MLOps: How to Scale Machine Learning in the Enterprise
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 57.81
US$ 16.00 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. In.
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Introducing MLOps: How to Scale Machine Learning in the Enterprise
Language: English
Published by O'Reilly Media, Inc, USA, 2020
ISBN 10: 1492083291 ISBN 13: 9781492083290
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. Paperback. . . . . .
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Introducing MLOps : How to Scale Machine Learning in the Enterprise
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 58.12
US$ 20.03 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: As New. Unread book in perfect condition.
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Introducing Mlops: How to Scale Machine Learning in the Enterprise
Language: English
Published by Oreilly & Associates Inc, 2020
ISBN 10: 1492083291 ISBN 13: 9781492083290
US$ 72.47
US$ 13.35 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 150 pages. 9.50x7.25x0.50 inches. In Stock.
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Introducing MLOps: How to Scale Machine Learning in the Enterprise
Language: English
Published by O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492083291 ISBN 13: 9781492083290
Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Paperback. Condition: 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.
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MLOps. Kernkonzepte im Überblick. Machine-Learning-Prozesse im Unternehmen nachhaltig automatisieren und skalieren. Deutsche Ausgabe
Language: German
Published by Dpunkt.Verlag GmbH, Heidelberg, 2021
Seller: Paderbuch e.Kfm. Inh. Ralf R. Eichmann, Bad Lippspringe, NRW, Germany
Seller rating 5 out of 5 stars
paperback. Condition: Good. Mark Treveil und das Dataiku-Team: MLOps. Kernkonzepte im Überblick. Machine-Learning-Prozesse im Unternehmen nachhaltig automatisieren und skalieren. Deutsche Ausgabe. Eigenverlag O'Reilly, Heidelberg 2021. Broschur, foliert, Rückenschild, 201 Seiten; Besitz-/Inventarvermerke, sonst ordentlicher Zustand (entwidmetes Bibl.-Ex.).
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The Development of Early Medieval and Later Poultry and Cheapside: Excavations at 1 Poultry and Vicinity, City of London
Language: English
Published by Museum of London Archaeology Svc, 2010
ISBN 10: 1901992950 ISBN 13: 9781901992953
US$ 88.84
US$ 26.71 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 408 pages. 11.73x8.27x1.10 inches. In Stock.
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US$ 44.90
US$ 13.35 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. German language. 9.37x6.57x0.47 inches. In Stock.
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Condition: New.
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Condition: 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.
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Condition: New. 206 pages.
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MLOps in action: development. deployment and application of machine learning models(Chinese Edition)
Language: English
Published by Machinery Industry Press, 2022
ISBN 10: 7111710096 ISBN 13: 9787111710097
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-08-01 Pages: 159 Publisher: Machinery Industry Press This book is divided into three parts. Part 1 introduces the topic of MLOps. taking a deep dive into how (and why) it evolved into a discipline. who needs to be involved to successfully execute MLOps. and what components are required. The second part introduces the life cycle of a machine learning model and includes chapters on model development. production preparation. production deployment. monit.
