That's a fair point, and as a math graduate, I absolutely agree that ML is fundamentally applied math.

When I say 'No ML,' I mean there is no training phase, no labeled data needed, and no neural network model used to infer the rules.

The distinction here is that all the logic is based purely on signal processing algorithms.

Thanks for raising the point!