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Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
Page: 482
Format: pdf, ePub, mobi, fb2
ISBN: 9781800560413
Publisher: Packt Publishing
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CS M10ML: CLOUD DATA SCIENCE AND MACHINE Uses Natural Language processing such as Amazon Polly, Amazon Comprehend, and Amazon Translate. Uses AWS Academy Data. Science and Machine Learning
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High Performance Computing (HPC) - Amazon AWS Access a broad range of cloud-based services, like machine learning (ML) and analytics, plus HPC tools and infrastructure to quickly design and test new
Amazon SageMaker Pipelines – Purpose-built CI/CD service Build, automate, and manage workflows for the complete machine learning (ML) lifecycle spanning data preparation, model training, and model deployment using
Analytics - Overview of Amazon Web Services Athena is out-of-the-box integrated with AWS Glue Data Catalog, cloud big data platform for processing vast amounts of data using open source tools such