9781492050124 - kubeflow for machine learning: from lab to production de grant, trevor; karau, holden; lublinsky, boris; liu, richard; filonenko, ilan (25 resultados)
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Kubeflow for Machine Learning: From Lab to Production
Lublinsky, Boris,Filonenko, Ilan,Karau, Holden,Liu, Richard,Grant, Trevor
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Kubeflow for Machine Learning: From Lab to Production
Grant, Trevor; Karau, Holden; Lublinsky, Boris; Liu, Richard; Filonenko, Ilan
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Kubeflow for Machine Learning: From Lab to Production
Grant, Trevor; Karau, Holden; Lublinsky, Boris; Liu, Richard; Filonenko, Ilan
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Soft cover. Condición: Very Good. 1st Edition. Putting machine models of learning into action.
Kubeflow for Machine Learning : From Lab to Production
Grant, Trevor; Karau, Holden; Lublinsky, Boris; Liu, Richard; Filonenko, Ilan
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Paperback or Softback. Condición: New. Kubeflow for Machine Learning: From Lab to Production. Book.
Kubeflow for Machine Learning
Richard Liu, Holden Karau, Ilan Filonenko, Boris Lublinsky, Grant Trevor
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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Paperback. Condición: New. If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. Thi…s guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solvesLearn how to set up Kubeflow on a cloud provider or on an in-house clusterTrain models using Kubeflow with popular tools including scikit-learn, TensorFlow, and Apache SparkLearn how to add custom stages such as serving and predictionKeep your model up-to-date with Kubeflow PipelinesUnderstand how to validate machine learning pipelines.
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Kubeflow for Machine Learning : From Lab to Production
Grant, Trevor; Karau, Holden; Lublinsky, Boris; Liu, Richard; Filonenko, Ilan
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 35,37
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 33,09
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Librería: GoldBooks, Denver, CO, Estados Unidos de AmericaGoldBooks
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Paperback. Condición: new. New Copy. Customer Service Guaranteed.
Kubeflow for Machine Learning
Richard Liu, Holden Karau, Ilan Filonenko, Boris Lublinsky, Grant Trevor
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Paperback. Condición: New. If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. Thi…s guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solvesLearn how to set up Kubeflow on a cloud provider or on an in-house clusterTrain models using Kubeflow with popular tools including scikit-learn, TensorFlow, and Apache SparkLearn how to add custom stages such as serving and predictionKeep your model up-to-date with Kubeflow PipelinesUnderstand how to validate machine learning pipelines.
Kubeflow for Machine Learning : From Lab to Production
Grant, Trevor; Karau, Holden; Lublinsky, Boris; Liu, Richard; Filonenko, Ilan
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Kubeflow for Machine Learning : From Lab to Production
Grant, Trevor; Karau, Holden; Lublinsky, Boris; Liu, Richard; Filonenko, Ilan
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Kubeflow for Machine Learning: From Lab to Production
Karau, Holden/ Grant, Trevor/ Filonenko, Ilan/ Liu, Richard/ Lublinsky, Boris
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 239 pages. 9.00x7.00x0.75 inches. In Stock.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. 2020. Paperback. . . . . .
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Condición: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Kubeflow for Machine Learning
Richard Liu, Holden Karau, Ilan Filonenko, Boris Lublinsky, Grant Trevor
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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Paperback. Condición: New. If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. Thi…s guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solvesLearn how to set up Kubeflow on a cloud provider or on an in-house clusterTrain models using Kubeflow with popular tools including scikit-learn, TensorFlow, and Apache SparkLearn how to add custom stages such as serving and predictionKeep your model up-to-date with Kubeflow PipelinesUnderstand how to validate machine learning pipelines.
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Librería: moluna, Greven, , Alemaniamoluna
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Kartoniert / Broschiert. Condición: New. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliableÜber den AutorrnrnTrevor Grant is a member of the Apache Sof.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 51,61
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Taschenbuch. Condición: Neu. Neuware - If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model…serving. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.
Kubeflow for Machine Learning
Richard Liu, Holden Karau, Ilan Filonenko, Boris Lublinsky, Grant Trevor
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 42,58
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Paperback. Condición: New. If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. Thi…s guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solvesLearn how to set up Kubeflow on a cloud provider or on an in-house clusterTrain models using Kubeflow with popular tools including scikit-learn, TensorFlow, and Apache SparkLearn how to add custom stages such as serving and predictionKeep your model up-to-date with Kubeflow PipelinesUnderstand how to validate machine learning pipelines.
