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Docker and AWS Lambda for Machine Learning Applications

Docker and containerized deployments are ruling today's cloud software and DevOps (http://electric-cloud.com/blog/2017/05/docker-numbers-dockercon-shines-light-containers-enterprise/).

But beyond their usefulness for deploying software to the cloud, docker containers are an excellent way to maintain a consistent robust working environment - exactly what's needed for exploratory and deployment-facing machine learning.

The sources for the tutorial are available on GitHub: https://github.com/royshil/Docker4MLTutorial

This was a one-time tutorial on using Docker for ML environment management and cloud deployment.

First session:

Second session: