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AI Summary: An architectural guide to building, automating, and scaling robust visual machine learning workloads securely on the AWS cloud platform.
AI Summary: An architectural guide to building, automating, and scaling robust visual machine learning workloads securely on the AWS cloud platform.
Developing scalable visual solutions requires a robust cloud infrastructure to handle massive datasets and intensive compute loads. This book demonstrates how to build and deploy real world visual pipelines using Amazon Rekognition and SageMaker. It provides scaling best practices and critical security mitigations. Enterprise architects will learn how to automate end to end workflows on the cloud effectively.
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