Statistics for Data Science

Black boxes

ANNs can be very challenging to comprehend (even for the most advanced or seasoned data scientist). Explaining their outcome (or results) is much more demanding than explaining the outcome of a simpler model such as a linear model.

Sometimes, data scientists will understand an artificial neural network model at only a very high level. Although one can have only this level of understanding and still be able to be productive, not fully understanding the interworkings of artificial neural network models can result in a situation referred to as a BBU model or black box understood model or method.

A black box model, method, or system is one that can be viewed in terms of its inputs and outputs, without any knowledge of its internal ...