We write about machine learning workflow. From data versioning and processing to model productionization. We share our news, findings, interesting reads, community takeaways.
🚀 As Machine Learning projects and teams grow, keeping track of all the models and their production status gets increasingly complex. Iterative Studio's Git-backed Model Registry solves this.
Once you have a machine learning model that's ready for production, getting it out can be complicated. In this tutorial, we're going to use MLEM to deploy a model as a web API.
What a couple months it's been! This month you will find lots that's happening in IRL conferences again and in case you missed it, we've had some new, exciting releases! In addtion you'll find a guide to migrate from Git-LFS to DVC, the first Community piece on MLEM, and demo videos. Welcome to July!
A roundup of technical Q&A's from the DVC and CML communities. This month: working with the DVC cache, DVC data and remotes, using DVC programmatically, and more.
