I think the defining characteristic if machine learning system is that they get better as they experience more (see more examples). The question then the ask is

I think the defining characteristic if machine learning system is that they get better as they experience more (see more examples). The question then the ask is two fold (a) do de-nosing techniques improve when they see more samples? (b) do the application of ML techniques applied in this context mathematically equivalent?