It works for datasets whose distribution an underlying machine learning model can successfully derive. Otherwise it would fail:
"it works well for big data sets. Because the big data
sets usually have fair statistical properties, and its distribution is usually easy to derive and also has some kind
of continuity"
"it works well for big data sets. Because the big data sets usually have fair statistical properties, and its distribution is usually easy to derive and also has some kind of continuity"