James Wade

🧑‍💻 New video! Walk through the "whole game" of #MLOps with #rstats:

👀 Data prep with #tidyverse
🧠 Model training & eval with #tidymodels
✅ Deployment with #vetiver in #Docker 🐳 on @huggingface 🤗
📌 Monitoring with #pins

🎥: https://youtu.be/J32pRt1nuoY

MLOps is made so much easier with @Posit's open source tools, but if you're like me, you need these deployments to be in "the cloud"☁️. In part 2 of an #mlops series, I deploy a model API to Azure with docker using #rstats, #tidymodels and #vetiver.

https://jameshwade.com/posts/2022-01-22_mlops-azure.html

MLOps doesn't have to be overwhelming! I've been exploring how easy it is to deploy models using #rstats, #tidymodels, and #vetiver. This post is a sort of "whole game" for MLOps. A few lines of code take you from a model to a deployed API!

Thanks to @juliasilge and the entire MLOps team @Posit for making this so easy to do!

#MLOps #tidyverse #deployment https://jameshwade.com/posts/2022-12-27_mlops-the-whole-game.html

Feedback very welcome! Any interest in a thread with more details?