That's fair. My understanding is that NN and ML are similar insofar as they are both about minimizing a loss value (like negative log likelihood). And then the

That's fair. My understanding is that NN and ML are similar insofar as they are both about minimizing a loss value (like negative log likelihood). And then the methods of doing that are very different and once you get even more advanced, NN concepts feel like a completely different universe.