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! Join us with Julia Silge at Posit on Wednesday, April 24th at 11 am ET 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
No registration is required to attend - simply add it to your calendar using this link: pos.it/team-demo
Helpful resources:
🖇️ Vetiver - https://vetiver.posit.co/
🖇️ Julia's YouTube Channel - https://www.youtube.com/c/JuliaSilge
🖇️ To join us at posit::conf(2024) - https://posit.co/conference/
🖇️ Follow along blog post - https://juliasilge.com/blog/educational-attainment/
🖇️ Live Q&A Room - https://youtube.com/live/-6lqzW1iV7E?feature=share
🖇️ If you're interested in learning more about Posit Workbench, Posit Connect, or Posit Package Manager - pos.it/chat-with-us
🖇️ Subscribe to learn more about Posit events: https://posit.co/about/subscription-management/
We host these end-to-end workflow demos on the last Wednesday of every month. If you have ideas for topics or questions about them, please comment below!