Description
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. In the end, we will have an automated workflow that covers the entire lifecycle of an ML model, from data labeling to monitoring predictions.
Instructor's Bio
David de la Iglesia Castro
Software Engineer at Iterative
David is working on open-source tools like DVC and DVC Live. Previously Senior Computer Vision Researcher. Hippie.
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ON-DEMAND WEBINAR: Making MLOps Uncool Again
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