GitHub / aws-samples / reinvent2020-aim404-productionize-r-using-amazon-sagemaker

Customers using R can run simulation and machine learning securely and at scale with Amazon SageMaker while also reducing the cost of development by using the fully elastic resources in the cloud. In this demo, learn how to build, train, and deploy statistical and ML models in R at scale using Amazon SageMaker from your IDE.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws-samples%2Freinvent2020-aim404-productionize-r-using-amazon-sagemaker

Topics: amazon-web-services, machine-learning, r, sagemaker, statistical-analysis, stepfunctions

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