Robust Knowledge as an ML professional.

How much mathematical knowledge do you need to be a high performer? In this article I use Machine Learning logic to try to find a reasonable middle ground and a framework to think about this problem. One of the easiest quick wins in Machine Learning is to ensemble a set of slightly different models. To get a performance boost from this process there must be some diversity within the models. Most importantly, they must not all make the same mistakes.