Accelerate Machine Learning Pipelines Using a Modern Data Architecture | Amazon Web Services
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Опубликовано 31 января 2022, 18:48
In this video, you'll see how you can accelerate machine learning (ML) pipelines using a modern data architecture. With this approach, you can easily integrate ML services into data analytics pipelines, leverage visual tooling to lower the entry barrier for creating and orchestrating pipelines, and quickly generate and visualize forecasts against custom datasets.
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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #ModernDataArchitecture #MachineLearning #SageMaker #Data Prediction
Learn more at:
go.aws/3J6GR9o
bit.ly/3HJifnf
go.aws/3Hvk2Mu
go.aws/3dZAqq7
Subscribe:
More AWS videos - bit.ly/2O3zS75
More AWS events videos - bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #ModernDataArchitecture #MachineLearning #SageMaker #Data Prediction
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