In the last article we talked about why ML is harder than regular software: code, data and environment all move at the same time. Today we're tackling the second one data with a tool called DVC Data Version Control.
Why not just use Git?
Git is am...
If you've ever trained a beautiful model in a Jupyter notebook, watched the metrics shine, and then realized you have no idea how to actually put it in front of users, congratulations: you've just discovered why MLOps exists.
In this series, we are ...