In the first part of this series, I discussed how important it is as a data scientist to ask the right questions when solving a new problem. In this post I will be digging into a specific example relating to the situation when a data scientist is presented with a prediction goal, but no data to support that goal.
Source: pindropsecurity.com
Author: Scott W. Strong
Categories: Articles, Education & Training