Data Science Machine-Learning
In the first section we'll look at understanding why Docker matters to Machine learning engineers. We then proceed with understanding one of the building blocks of Docker - the Docker image.
In the next section, we look at using containers and the associated commands. We also take a deeper dive and understand what happens under the hood with the Docker daemon, containerd and friends.
In the third section, we explore Docker files and look at ways of optimising them and making them production-ready.
In the final section, I provide examples of and show a demo of using Docker with some of the machine learning and computer vision projects I have worked on.
Type: Training (180 mins); Python level: Beginner; Domain level: Beginner