The particular concern that sparked this with me is the concern of over-fitting to the data set. I don't know enough about ML to know how much of a risk that m

The particular concern that sparked this with me is the concern of over-fitting to the data set. I don't know enough about ML to know how much of a risk that might be, but with a tool like this I wonder if that becomes obvious, or if you risk taking away false learnings just because you saw the output you hoped for, despite it being perhaps horribly overfit. Again, that's just one example, and the instant visual feedback is awesome (I'm a visual learner, so that's huge). But at the end of the day, I know that there is a lot of math and code under the pretty graphics, and at some point I'll need to tackle that to make sure I am actually learning this and not just making assumptions based on what I can eyeball with some visualizations.