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AWS re:Invent 2020: How to create fully automated ML workflows with Amazon SageMaker Pipelines

Machine learning (ML) workflows are hard to build because you need to create hundreds of code packages for data preparation, model training, and model deployment and stitch them together so they run as a sequence of steps. In this session, learn about Amazon SageMaker Pipelines, the world’s first ML CI/CD service designed to be accessible for every developer and data scientist. SageMaker Pipelines brings CI/CD pipelines to ML, reducing the months of coding previously required to just a few hours. See a demonstration of how you can create an automated ML workflow with just a few clicks and learn how SageMaker Pipelines manages dependencies and orchestrates the workflow.

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Видео AWS re:Invent 2020: How to create fully automated ML workflows with Amazon SageMaker Pipelines канала AWS Events
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5 февраля 2021 г. 23:12:52
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