Librería: HPB Inc., Dallas, TX, Estados Unidos de America
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Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Añadir al carritoPaperback. Condición: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Librería: Goodmediandmore, Asheville, NC, Estados Unidos de America
EUR 19,03
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Añadir al carritoLight wear to edges. Overall good condition. Ships next business day from NC.
Librería: Friends of SMPL Bookstore, Santa Monica, CA, Estados Unidos de America
Original o primera edición
EUR 22,08
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Añadir al carritoSoft cover. Condición: Very Good. 1st Edition. Putting machine models of learning into action.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 31,23
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 30,05
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Idioma: Inglés
Publicado por O'Reilly Media 11/3/2020, 2020
ISBN 10: 1492050121 ISBN 13: 9781492050124
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 34,34
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Añadir al carritoPaperback or Softback. Condición: New. Kubeflow for Machine Learning: From Lab to Production. Book.
EUR 35,26
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Añadir al carritoPaperback. 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. This 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.
EUR 35,96
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 34,76
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EUR 33,14
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 38,25
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Añadir al carritoPaperback. Condición: new. New Copy. Customer Service Guaranteed.
EUR 46,06
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Añadir al carritoPaperback. 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. This 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.
Librería: Brit Books, Milton Keynes, Reino Unido
EUR 32,00
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Used; Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 37,06
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 41,71
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 40,80
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2020
ISBN 10: 1492050121 ISBN 13: 9781492050124
Librería: Revaluation Books, Exeter, Reino Unido
EUR 49,50
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Añadir al carritoPaperback. Condición: Brand New. 239 pages. 9.00x7.00x0.75 inches. In Stock.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 56,30
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Añadir al carritoCondición: New. 2020. Paperback. . . . . .
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 70,13
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Añadir al carritoCondición: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
EUR 37,19
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. 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. This 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.
EUR 40,09
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Añadir al carritoKartoniert / 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.
Idioma: Inglés
Publicado por O'reilly Media Nov 2020, 2020
ISBN 10: 1492050121 ISBN 13: 9781492050124
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 51,61
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. 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.
EUR 42,65
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. 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. This 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.