ML (O)Ops! Improving and Deploying On-Device Models With Confidence (Part 1)
With Atul Dhingra.
Part 1 of a multi-part series.
It is well known that ML Engineers today spend most of their time doing things that do not have a lot to do with machine learning. They spend time working on technically unsophisticated but important things like deployment of models, keeping