Collaboration
Serving Machine Learning Models with MLEM
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.
Syncing Data to GCP Storage Buckets
We're going to set up a GCP storage bucket remote in a DVC project.
Syncing Data to Azure Blob Storage
We're going to set up an Azure Blob Storage remote in a DVC project.
Syncing Data to AWS S3
We're going to set up an AWS S3 remote in a DVC project.
Preventing Stale Models in Production
We're going to look at how you can prevent stale models from remaining in production when the data starts to differ from the training data.
Running Collaborative Experiments
Sharing experiments with teammates can help you build models more efficiently.