How to develop and deploy a machine learning model with Posit

While data scientists are often taught about training a machine learning model, building a reliable MLOps strategy to deploy and maintain that model can be daunting.

It doesn’t have to be this way! We were joined by Julia Silge at Posit to learn how Posit Team provides fluent tooling for the whole ML lifecycle.

  1. Develop an ML model using Posit Workbench and a recent Tidy Tuesday dataset!
  2. Version, deploy, and monitor that model with Posit Connect
  3. Maintain reproducible software dependencies throughout the ML lifecycle with Posit Package Manager

 

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