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AWS Analytics Bytes: Modern Data Architecture with Amazon SageMaker | Amazon Web Services
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Welcome to the seventh episode of Analytics Bytes: a video series where we explore common startups analytics use cases and how to architect for them. In today’s episode, we will talk about ML model building, training, tuning, and deployment features of SageMaker, and how to integrate SageMaker with Modern Data Architecture components for Machine Learning predictions.
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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 #mlops #amazonsagemaker #sagemakerpipelines #sagemakernotebooks #sagemakerstudio #AWSStartups #startups
#AWS #AmazonWebServices #CloudComputing
Learn more at:
Subscribe:
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 #mlops #amazonsagemaker #sagemakerpipelines #sagemakernotebooks #sagemakerstudio #AWSStartups #startups
#AWS #AmazonWebServices #CloudComputing
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