Docker Based Workflow for Deploying a Machine Learning Model
Speaker:
Peter McKee - Head of Developer Relations, Docker
Key Learnings:
After attending this workshop, students will learn how Docker and containers fit into the ML development lifecycle. We will start with the basics of containers and work our way up to a full example. We will cover topics such as: reproducibility, portability, and ease of deployment.
Watch video Docker Based Workflow for Deploying a Machine Learning Model online, duration hours minute second in high quality that is uploaded to the channel Toronto Machine Learning Series (TMLS) 16 August 2023. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 71 times and liked it 0 visitors.
