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Browsi: Using ML to Predict Ad Viewability with Amazon SageMaker

Published on Oct 31, 2018

On the next This Is My Architecture https://amzn.to/2R8HxB1, learn how Browsi is using Amazon SageMaker with TensorFlow to train models that predict ad viewability in real-time. We'll explore how they collect data with ECS running on EC2 Spot Instances, store the data in Kinesis and S3, process the data with Spark running on EMR, train machine learning models using SageMaker, expose scalable prediction endpoints on ECS, and calculate statistics with Kinesis Analytics. Host: Matt Yanchyshyn, Global Tech Lead, AWS Customer: Shauli Mizrachy, VP R&D, Browsi Subscribe: More AWS videos http://bit.ly/2O3zS75 More AWS events videos http://bit.ly/316g9t4 #AWS

Browsi: Using ML to Predict Ad Viewability with Amazon SageMaker

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