Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

#295: Creating a DevOps Workflow for Machine Learning Models

#295: Creating a DevOps Workflow for Machine Learning Models

FromAWS Podcast


#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/
Released:
Feb 2, 2019
Format:
Podcast episode

Titles in the series (100)

The AWS Podcast is the definitive cloud platform podcast for developers, dev ops, and cloud professionals seeking the latest news and trends in storage, security, infrastructure, serverless, and more. Join Simon Elisha and Jeff Barr for regular updates, deep dives and interviews. Whether you’re building machine learning and AI models, open source projects, or hybrid cloud solutions, the AWS Podcast has something for you.