AWS re:Invent 2020: How to create fully automated ML workflows with Amazon SageMaker Pipelines
29:24
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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 ...
32.1K viewsFeb 5, 2021
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Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. 🖇️ https://go.aws/49iZwxc | Amazon Web Services
Unlock the power of your data with a unified data & AI platform. 🔓🔑☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. 🖇️ https://go.aws/49iZwxc | Amazon Web Services
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