It is a truism of machine learning and predictive analytics that 80% of an analyst’s time is consumed in cleaning and preparing the needed data. I saw an estimate by a Google engineer that 25% of the time was spent just looking for the right data. A big part of this process is human-driven featureContinue reading “Feature Engineering and Data Prep – Still Needed?”
