12 Properties Rated on MLOps Tools

Evaluating the DevOps tools I’ve used for rolling out machine learning applications

MLOps is a team effort. Photo by Alex Kotliarskyi on Unsplash

Estimates vary, but machine learning engineers spend between 5–15% of their working time on the machine learning engine. The other 85–95% is spent on getting and munging data for input into the machine, pre-processing, the domain of DataOps, and creating and…