Sharing data science work can be messy. Learn how to use Docker—the popular tool for deploying and managing apps as containers—to more efficiently share machine learning models.
Overview
Syllabus
Introduction
- Docker and data science
- What you should know
- What is Docker?
- Why Docker?
- Install Docker
- Install a text editor
- Using images
- Running a container
- Docker under the hood
- Dockerfile basics
- Troubleshooting Dockerfiles
- Uploading images to Docker Hub
- Creating a common development environment
- Sharing results with colleagues
- Next steps
Taught by
Jonathan Fernandes
