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Prepare data for ML with ease, speed, and accuracy

Join this session to learn how to prepare data for ML in minutes using Amazon SageMaker. SageMaker offers tools to simplify data preparation so that you can label, prepare, and understand your data. Walk through a complete data-preparation workflow, including how to label training datasets using SageMaker Ground Truth as well as how to extract data from multiple data sources, transform it using the prebuilt visualization templates in SageMaker Data Wrangler, and create model features.

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Create real-time personalized user experiences faster at scale
Create real-time personalized user experiences faster at scale

As part of this session, Public Broadcasting Service (PBS) shares their personalization story and its impact.

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Amazon SageMaker: Train models with tens or hundreds of billions of parameters
Amazon SageMaker: Train models with tens or hundreds of billions of parameters

State-of-the-art models are rapidly increasing in size and complexity. These models can be difficult to tra...

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