[nikk1]

I agree ML is a buzzword and using a sentence like that would sound silly but I can elaborate. First, though, regression does not need a separate ML definition to make it distinct from statistics... there's tons of overlap in the field of mathematics.

Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data.

This definition would include something as simple as linear regression.

Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data.

The purpose of a neural network is exactly the same as a line of best fit. That is, you are just approximating an unknown function based on input/output data. The only difference is that a NN can better approximate a nonlinear function.