Machine learning models are becoming more and more commonplace across all software platforms. Amazon Web Services (AWS) is constantly coming out with new tools to do so. In 2017, at re-invent Amazon announced their new service called Sagemaker which streamlines the process for Data Scientists to train and deploy scalable machine learning models. The end result is a convenient API endpoint for easy integration into any software. In this presentation we’ll walk through how to get started with AWS sagemaker covering the three common setups: 1) Amazon’s built-in models 2) Bring your own model 3) bring your own container [303]


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