Making MLOps uncool again
David
In this workshop, we will learn what it means and how to build an "MLOps workflow" by extending the power of Git and GitHub with open-source tools. At the end of the workshop, we will have a workflow that covers the entire lifecycle of a Machine Learning model, from data labeling to monitoring predictions.
Without the need for external platforms or complicated infrastructure, the workshop only requires a web browser in order to follow from start to finish.
David
Affiliation: iterative.ai
Software Engineer at iterative.ai, working on open source tools like DVC and DVCLive. Previously, senior computer vision researcher.
visit the speaker at: Github
