Automate your ML workflows with Amazon SageMaker Autopilot and Pipelines | Amazon Web Services
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Amazon Web Services782 тыс
Опубликовано 8 августа 2023, 16:34
In this video, learn how to leverage SageMaker Pipelines and Autopilot to quickly build, evaluate, and deploy ML models. We’ll use the Census Income dataset to predict income level, automatically generate models with Autopilot, pick the best performer, evaluate it, and deploy it in an end-to-end workflow. Follow along with the demo to see how SageMaker Pipelines and Autopilot can accelerate your model development and reproducibility.
The notebook: go.aws/3syyoZN
Learn more at: go.aws/3KxwYor
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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 #SageMaker #AWS #AmazonWebServices #CloudComputing
The notebook: go.aws/3syyoZN
Learn more at: go.aws/3KxwYor
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
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 #SageMaker #AWS #AmazonWebServices #CloudComputing
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