ML Ops: Doing the Things to Preserve Tomorrow’s Machine Learning Sanity Today


Going from a well-used notebook to production ready software that delivers customer value in a repeatable way is hard. In this session we will look at a couple of concepts that, if employed correctly, will save a ton of grief down the road. Some of these concepts include choosing appropriate frameworks, understanding experimentation progression, continuous integration, safe deployment, and a maybe a touch of monitoring. The session will tie these concepts together with a silly image classification model that will allow folks to play rock-paper-scissors with just their hands and a web camera.


Bio Coming Soon!

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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