Machine learning - Getting to deployment - SD Times

Deployment can be incredibly challenging, but like any skill, having a good guide can help show you the right path and give you the real-world experience so you can maximize your efficiencies. At Six Nines, we've developed a guide to help practitioners who are just starting out to understand the decision-making processes needed to get their data models from concept to a working ML training deployment, and then scale those deployments into clusters. The guide, titled "Getting started with a ML training model using AWS & PyTorch," helps walk practitioners through decisions around which AWS instances are right for the ML model they're trying to train, and what steps to take to get started. Beginners just starting, up to skilled practitioners who are looking for a shortcut to getting their models into the right cloud environment can benefit from this tutorial.