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#295: Creating a DevOps Workflow for Machine Learning Models
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Manage episode 229926093 series 1527787
Content provided by Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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. Shownotes: Source Code: https://github.com/aws-samples/aws-sagemaker-build Blog Post: https://aws.amazon.com/blogs/machine-learning/automated-and-continuous-deployment-of-amazon-sagemaker-models-with-aws-step-functions/
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644 episodes
MP3•Episode home
Manage episode 229926093 series 1527787
Content provided by Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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. Shownotes: Source Code: https://github.com/aws-samples/aws-sagemaker-build Blog Post: https://aws.amazon.com/blogs/machine-learning/automated-and-continuous-deployment-of-amazon-sagemaker-models-with-aws-step-functions/
…
continue reading
644 episodes
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