How to boost collaboration between business analysts & data scientists using Amazon SageMaker Canvas
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Опубликовано 31 марта 2023, 17:39
Amazon SageMaker Canvas expands access to machine learning (ML) by providing business analysts with a visual interface that allows them to generate accurate ML predictions on their own—without requiring any ML experience or having to write a single line of code. In this video, learn how you can use Amazon SageMaker Canvas to boost collaboration between business analysts and data scientists by sharing, reviewing, and updating ML models across tools. You'll also learn how you can import ML models from anywhere and generate predictions directly in Amazon SageMaker Canvas.
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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
Learn more: go.aws/3Z7t2iW
Subscribe:
More AWS videos: go.aws/3Y5Y0YQ
More AWS events videos: go.aws/3DOfL6T
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
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