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Paperback or Softback. Condition: New. Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws. Book.
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Condition: As New. Unread book in perfect condition.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Practical Machine Learning With Aws : Process, Build, Deploy and Productionize Your Models Using Aws
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Practical Machine Learning With Aws : Process, Build, Deploy and Productionize Your Models Using Aws
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Practical Machine Learning with AWS: Process, Build, Deploy, and Productionize Your Models Using AWS
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 59.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: Brand New. 241 pages. 9.50x6.75x0.75 inches. In Stock.
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Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
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Condition: New. Print on Demand.
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Practical Machine Learning with AWS
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Successfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment.This book is divided into three parts. Part I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity Access Management, Roles, Load Balancer, and Cloud Formation. It also covers cloud security topics such as AWS Compliance and artifacts, and the AWS Shield and CloudWatch monitoring service built for developers and DevOps engineers. Part II covers machine learning in AWS using SageMaker, which gives developers and data scientists the ability to build, train, and deploy machine learning models. Part III explores other AWS services such as Amazon Comprehend (a natural language processing service that uses machine learning to find insights and relationships in text), Amazon Forecast (helps you deliver accurate forecasts), and Amazon Textract.By the end of the book, you will understand the machine learning pipeline and how to execute any machine learning model using AWS. The book will also help you prepare for the AWS Certified Machine Learning-Specialty certification exam.What You Will LearnBe familiar with the different machine learning services offered by AWSUnderstand S3, EC2, Identity Access Management, and Cloud FormationUnderstand SageMaker, Amazon Comprehend, and Amazon ForecastExecute live projects: from the pre-processing phase to deployment on AWSWho This Book Is ForMachine learning engineers who want to learn AWS machine learning services, and acquire an AWS machine learning specialty certification 260 pp. Englisch.
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Condition: New. PRINT ON DEMAND.
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Practical Machine Learning with AWS
Language: English
Published by Apress, Apress Nov 2020, 2020
ISBN 10: 1484262212 ISBN 13: 9781484262214
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Successfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 260 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Successfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment.This book is divided into three parts. Part I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity Access Management, Roles, Load Balancer, and Cloud Formation. It also covers cloud security topics such as AWS Compliance and artifacts, and the AWS Shield and CloudWatch monitoring service built for developers and DevOps engineers. Part II covers machine learning in AWS using SageMaker, which gives developers and data scientists the ability to build, train, and deploy machine learning models. Part III explores other AWS services such as Amazon Comprehend (a natural language processing service that uses machine learning to find insights and relationships in text), Amazon Forecast (helps you deliver accurate forecasts), and Amazon Textract.By the end of the book, you will understand the machine learning pipeline and how to execute any machine learning model using AWS. The book will also help you prepare for the AWS Certified Machine Learning-Specialty certification exam.What You Will LearnBe familiar with the different machine learning services offered by AWSUnderstand S3, EC2, Identity Access Management, and Cloud FormationUnderstand SageMaker, Amazon Comprehend, and Amazon ForecastExecute live projects: from the pre-processing phase to deployment on AWSWho This Book Is ForMachine learning engineers who want to learn AWS machine learning services, and acquire an AWS machine learning specialty certification.
