Shipping Data Science Products with R and Docker

How do we get our R code into production more quickly?

Abstract

There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.

Covering models, dashboards, and other products built in R, you’ll look at how Docker containers can make managing dependencies a breeze, allow your code to be hosted anywhere, and have it work in high-scale systems.

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