MLOps in academia is catching up with the industry and so should you. Find out how ML looks different in research vs in production, and what it means to deploy your model and keep it alive in production.
June 16, 2021
This article discusses why Data Science efforts should include deployment of models, challenges associated with it, and in particular reproducibility- what it means and how we can measure it.
Let’s say that you just pushed a high-performing model to production. You’re done, right?
No, not really. This…