13 min listen
#295: Creating a DevOps Workflow for Machine Learning Models
FromAWS Podcast
ratings:
Length:
18 minutes
Released:
Feb 2, 2019
Format:
Podcast episode
Description
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/
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/
Released:
Feb 2, 2019
Format:
Podcast episode
Titles in the series (100)
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