#295: Creating a DevOps Workflow for Machine Learning Models
b'Training your ML model is just one part of the puzzle; retaining it and deploying into production on a regular basis is key for great business outcomes. Simon speaks with John Calhoun (Machine Learning Specialist, AWS) about how to implement this in your business using the open source AWS Sagemaker Build CloudFormation.\\nShownotes:\\nSource Code: https://github.com/aws-samples/aws-sagemaker-build\\nBlog Post: https://aws.amazon.com/blogs/machine-learning/automated-and-continuous-deployment-of-amazon-sagemaker-models-with-aws-step-functions/'