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About this product
Product Identifiers
PublisherSamurai Media The Limited
ISBN-10988840802X
ISBN-139789888408023
eBay Product ID (ePID)27038403844
Product Key Features
Number of Pages442 Pages
Publication NameAmazon Sagemaker Developer Guide
LanguageEnglish
SubjectCloud Computing
Publication Year2018
TypeTextbook
AuthorDevelopment Team
Subject AreaComputers
FormatHardcover
Dimensions
Item Height1 in
Item Weight46.2 Oz
Item Length11 in
Item Width8.5 in
Additional Product Features
Intended AudienceTrade
IllustratedYes
SynopsisAmazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, Amazon SageMaker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a single click from the Amazon SageMaker console. Training and hosting are billed by minutes of usage, with no minimum fees and no upfront commitments., Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment.