Part 4 of our 4 part series on big data in learning.
Big data has led to big changes in statistics. One could argue that our existing paradigm has been rendered impotent in many cases by big data.
Historically it has been difficult and largely impossible to gather all data in a target audience or domain. We were taught that sampling data is the way to go, and then to avoid selection and sample bias, we avoid self-selection or snowball samples and randomize. All of this assumed scarcity of data.