Building, training and deploying machine learning models with Amazon SageMaker (July 2020)

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Building Machine Learning Pipelines With Amazon SagemakerПодробнее

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AWS AMER Summit 2020 | Build, train, and deploy ML models with Amazon SageMakerПодробнее

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Amazon SageMaker: Train and Deploy Your First Machine Learning ModelПодробнее

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AWS re:Invent 2020: Implementing MLOps practices with Amazon SageMakerПодробнее

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AWS re:Invent 2020: Productionizing R workloads using Amazon SageMaker, featuring SiemensПодробнее

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AWS re:Invent 2020: Scaling MLOps on Kubernetes with Amazon SageMaker OperatorsПодробнее

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AWS re:Invent 2020: How to use fully managed Jupyter notebooks in Amazon SageMakerПодробнее

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

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AWS re:Invent 2020:  MLOps for edge devices with Amazon SageMaker Edge ManagerПодробнее

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AWS re:Invent 2020: Understand ML model predictions & biases with Amazon SageMaker ClarifyПодробнее

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AWS re:Invent 2020: Amazon SageMaker Feature Store: Store, discover, & share features for ML appsПодробнее

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