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AWS - Build models faster, and serve predictions at scale using Amazon SageMaker Feature Store

Feature Store Org 2,414 lượt xem 3 years ago
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#featurestore #featurestoresummit #machinelearning #datascience

ML has quickly become a top priority for organizations everywhere, but achieving ML at scale across many business units and teams is no small feat. Join this session to learn how Amazon SageMaker Feature Store lets you share ML features, search for and discover existing features, and flexibly reuse features in new models to accelerate the pace of ML model development. Come learn how SageMaker is helping data scientists and ML engineers accelerate the ML lifecycle, while providing low-latency and high throughput inference.

|| Feature Store Summit ||

Feature Store Summit, organized by Hopsworks, is the first conference dedicated to cutting-edge technologies that facilitate bringing machine learning models into production.

|| Join the community ||

Join our Slack: https://bit.ly/slack-featurestore
Subscribe to receive our newsletter: https://www.featurestore.org/
Follow us on Twitter: https://twitter.com/FeaturestoreOrg
Follow us on LinkedIn: https://www.linkedin.com/company/featurestore-org/
Submit a talk: https://featurestore.org/submit-a-talk/
Read our blogs: https://medium.com/data-for-ai

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