Eyeota: Scalable ML Model Lifecycle Management for Advertising Audience Discovery
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26.04.21 – 5 04711:54Популярные
18 дней – 1 1824:59
30 дней – 8147:35Опубликовано 26 апреля 2021, 16:49
Learn how Eyeota architected a scaleable ML pipeline on AWS, to drive improvements in ad-tech data quality. The solution utilizes Sagemaker, Glue, Airflow and Cloudwatch to orchestrate an ML model lifecycle that iteratively improves over time.
Check out more resources for architecting in the #AWS cloud:
amzn.to/2ZIbygO
#AWS #ThisIsMyArchitecture
Check out more resources for architecting in the #AWS cloud:
amzn.to/2ZIbygO
#AWS #ThisIsMyArchitecture
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