I can build the machine learning system now, get it working on my machine and in a demo. But making it hold up at real scale, with real traffic and messy data, still defeats me. It runs fine until Monday morning hits, and then it falls over in a way I did not see coming.
More people experience this than they realize.
You can build ML systems, but making them reliable at scale still defeats you.
If this sounds familiar, the Library can help you find the bigger picture.