Hybridized Decision Making When Faced with Hostile Data:
Getting to the right answer when data sets are small, ‘subjects’ are few, and ‘Gut’ is not enough
Dr. Steven Spear
Big data, machine learning, and the like are associated with gaining understanding about how future events are likely to transpire from sampling past experience. The statistical approaches work when there is a large population of “subjects”, a large number of observations, and the population is inherently stable.