Common Mistakes People Make When Starting a Machine Learning Project?

The levels zero problem is just not doing it, right? Like inertia, not recognizing this as a problem that they need to solve. The level one mistake, I would say, is using tools that are not built for ML ops. To really debug a problem, you need to see the entire pipeline. You can't just look at the model at the end.