In his Top 10 Data Science Mistakes, John Elder shares lessons learned from 20 years of data science consulting experience. Avoiding these mistakes are cornerstones to any successful analytics project.
For many reasons, most researchers and practitioners focus too narrowly on one type of modeling technique. But, for best results, one needs a whole toolkit.
In this paper about Mistake #2 you will learn about the dangers of relying on a single technique and some of the benefits of employing a handful of good tools.