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I would add a fourth bucket -- ML Ops. Operating an ML based system is different enough from other systems that I'd consider that it's own specialty.
by jedberg 4y ago
I would add a fourth bucket -- ML Ops. Operating an ML based system is different enough from other systems that I'd consider that it's own specialty.
- solardev 4y agoCould you please provide some examples of what a ML Ops person might do/manage in their day to day jobs?
- jedberg 4y ago- Tracking changes is different. Not only do you have to track code changes, but also training data and model changes. You need to build systems that allow for this change management. - Monitoring -- you have to build specialized monitoring to check for model degradations. Is the model still outputting valid/correct predictions? If not you need to roll back to an old model (see above). Those are the two main ones.