Curve fitting a set of data is essentially the same thing as understanding something at a high level. We have data points but no way to extract the low level ex

Curve fitting a set of data is essentially the same thing as understanding something at a high level. We have data points but no way to extract the low level exact equation that generated that data... So we create a curve and estimate it. We will never know the true equation. Additionally the curve has hundreds of dimensions and is essentially something that can't be visualized or understood cohesively. We have this neural network that represents the curve but the neural network is a black box.