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Ajouter au panierEtat : Good. 2020. Paperback. Ex Libris with usual markings. Clean copy with some shelf wear, some sunning and nicks and tears to cover, inscribed by previous owner, otherwise a good copy. . . . . Books ship from the US and Ireland.
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Ajouter au panierEtat : 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!
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Ajouter au panierEtat : Good. 2020. Paperback. Ex Libris with usual markings. Clean copy with some shelf wear, some sunning and nicks and tears to cover, inscribed by previous owner, otherwise a good copy. . . . .
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Ajouter au panierEtat : New.
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Ajouter au panierPaperback. Etat : Brand New. 150 pages. 9.00x6.00x0.50 inches. In Stock.
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Ajouter au panierEtat : New. In.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierPF. Etat : New.
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Ajouter au panierEtat : New. 1st ed. edition NO-PA16APR2015-KAP.
Langue: anglais
Edité par Apress, Apress Dez 2020, 2020
ISBN 10 : 1484265459 ISBN 13 : 9781484265451
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -Build and deploy machine learning and deep learning models in production with end-to-end examples.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 164 pp. Englisch.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Build and deploy machine learning and deep learning models in production with end-to-end examples.This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes.The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter not Elektronisches Buch to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways.What You Will LearnBuild, train, and deploy machine learning models at scale using KubernetesContainerize any kind of machine learning model and run it on any platform using DockerDeploy machine learning and deep learning models using Flask and Streamlit frameworksWho This Book Is ForData engineers, data scientists, analysts, and machine learning and deep learning engineers 164 pp. Englisch.
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Ajouter au panierEtat : New. Print on Demand.
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Vendeur : moluna, Greven, Allemagne
EUR 40,39
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Guides you in transitioning from traditional machine learning to machine learning productionizationCovers the entire range of deployment options, including Flask, Streamlit, Docker, and Kubernetes .
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build and deploy machine learning and deep learning models in production with end-to-end examples.This book begins with a focus on the machine learning model deployment process and its related challenges. Next, it covers the process of building and deploying machine learning models using different web frameworks such as Flask and Streamlit. A chapter on Docker follows and covers how to package and containerize machine learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes.The book is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into production. It also offers guidance to those who want to move beyond Jupyter not Elektronisches Buch to training models at scale on cloud environments. All the code presented in the book is available in the form of Python scripts for you to try the examples and extend them in interesting ways.What You Will LearnBuild, train, and deploy machine learning models at scale using KubernetesContainerize any kind of machine learning model and run it on any platform using DockerDeploy machine learning and deep learning models using Flask and Streamlit frameworksWho This Book Is ForData engineers, data scientists, analysts, and machine learning and deep learning engineers.
Vendeur : preigu, Osnabrück, Allemagne
EUR 41,95
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Ajouter au panierTaschenbuch. Etat : Neu. Deploy Machine Learning Models to Production | With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform | Pramod Singh | Taschenbuch | xiii | Englisch | 2020 | Apress | EAN 9781484265451 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.