Grow your data science skills at posit::conf(2024)

August 12th-14th in Seattle


With the increase in people using R for data science comes an associated increase in the number of people and organisations wanting to put models or other analytic code into "production". We often hear it said that R isn’t suitable for production workloads, but is that true? In this talk, Mark will look at some of the misinformation around the idea of what "putting something into production" actually means, as well as provide tips on overcoming the obstacles put in your path.

View Materials

Tags: R Admin

Subscribe to more inspiring open-source data science content.

We love to celebrate and help people do great data science. By subscribing, you'll get alerted whenever we publish something new.