In this post, we discuss how to use the AWS Cloud and its services to accelerate observational studies for life sciences customers. We provide a reference architecture for architects, business […]
Amazon Sagemaker
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Back to news homeScale ML feature ingestion using Amazon SageMaker Feature Store
Amazon SageMaker Feature Store is a purpose-built solution for machine learning (ML) feature management. It helps data science teams reuse ML features across teams and models, serves features for model […]
Train fraudulent payment detection with Amazon SageMaker
The ability to detect fraudulent card payments is becoming increasingly important as the world moves towards a cashless society. For decades, banks have relied on building complex mathematical models to […]
Perform interactive data engineering and data science workflows from Amazon SageMaker Studio notebooks
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up Studio notebooks to […]