I think it's perfectly fair to say Machine Learning is a subset of mathmatics. Everything can be broken down into independent equations, not to mention computer

I think it's perfectly fair to say Machine Learning is a subset of mathmatics. Everything can be broken down into independent equations, not to mention computers are deterministic. I do get your point, The outcome of these equations is not always as expected, due to the real world data not being prepped and cleaned. HOWEVER, I would argue this has nothing to do with ML at all, and only to do with the input data. If I have a complex equation: y=x+1 And I put in x=1 I expect y=2. If I put in x=11 and expect y=2 then the equation "producted unexpected results". This is not the fault of the equation, it's the fault of the input.