Build, Train, and Deploy Machine Learning Models using Amazon SageMaker | Amazon Web Services
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Опубликовано 1 декабря 2021, 18:45
Amazon SageMaker is a machine learning (ML) service that provides purpose-built tools and optimized infrastructure to build, train, and deploy ML models for virtually any use case, regardless of your ML expertise. In this video, get an overview of Amazon SageMaker capabilities.
Learn more about Amazon SageMaker at go.aws/3E5vg8J.
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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.
#AmazonSageMaker #AWS #AmazonWebServices #CloudComputing
Learn more about Amazon SageMaker at go.aws/3E5vg8J.
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.
#AmazonSageMaker #AWS #AmazonWebServices #CloudComputing
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