That's pretty cool! It seems like most of ML is just creating a higher dimensional representation of the problem space during training and then exploring that

That's pretty cool! It seems like most of ML is just creating a higher dimensional representation of the problem space during training and then exploring that during inference. I suppose your process would be using ML to get pointed in the "right direction" and then confirming the models theories using the expensive method?