Posit,
@Posit@fosstodon.org avatar

While data scientists are often taught about training an ML model, building a reliable MLOps strategy to deploy & maintain that model can be daunting.

It doesn’t have to be this way!

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

https://www.youtube.com/watch?v=FZW_0HB-Eas&list=PL9HYL-VRX0oRsUB5AgNMQuKuHPpNDLBVt&index=1&ab_channel=PositPBC

  • All
  • Subscribed
  • Moderated
  • Favorites
  • datascience
  • magazineikmin
  • rosin
  • Youngstown
  • ngwrru68w68
  • khanakhh
  • slotface
  • InstantRegret
  • mdbf
  • GTA5RPClips
  • kavyap
  • thenastyranch
  • DreamBathrooms
  • everett
  • tacticalgear
  • JUstTest
  • tester
  • Durango
  • cubers
  • ethstaker
  • cisconetworking
  • modclub
  • osvaldo12
  • Leos
  • normalnudes
  • megavids
  • provamag3
  • anitta
  • lostlight
  • All magazines