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Опубликовано 24 августа 2022, 15:28
Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help you automate and standardize processes across the ML lifecycle. In this video, learn how SageMaker MLOps tools help you train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production.
Learn more about Amazon SageMaker for MLOps: go.aws/3POaYpl
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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.
#MachineLearning #AmazonSageMaker #MLOps #AWS #AmazonWebServices #CloudComputing
Learn more about Amazon SageMaker for MLOps: go.aws/3POaYpl
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.
#MachineLearning #AmazonSageMaker #MLOps #AWS #AmazonWebServices #CloudComputing
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