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 ...