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Use AWS Data Exchange to Improve Amazon Personalize Recommendations | Amazon Web Services
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In this video, you’ll see how to use AWS Data Exchange to improve Amazon Personalize recommendations. With this solution, you can leverage third-party data sets from AWS Data Exchange to train an Amazon Personalize machine learning model that builds contextualized recommendations for use in consumer-facing applications.
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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.
#AWSDataExchange #ADX #AmazonPersonalize #AWSCLI #AWS #AmazonWebServices #CloudComputing
For more information on this topic, please visit the resource(s) below:
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.
#AWSDataExchange #ADX #AmazonPersonalize #AWSCLI #AWS #AmazonWebServices #CloudComputing
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