Sam Edgemon is a Consultant in the SAS US Business Analytics Consulting Practice, and is responsible for supporting both pre-sales and post-sales engagements. With over twenty years of SAS Product and JMP Experience, project roles range from that as a contributing analyst to project lead and all aspects of managing technically oriented tasks. Experience comes from many areas: Government, Environmental, Biological Surveillance, Health Care, Pharmaceutical, Automotive, Financial Services, Education, Gaming, Sports, Recreation, and Agriculture. Sam holds a B. S. in Mathematics and a B.S. in Statistics from the University of Tennessee, and certifications in Data Science (Johns Hopkins University), Social Physics (M.I.T.), Innovation and Design (University of Virginia), and Sabermetrics (Boston University).
My high school basketball coach started preparing us for the tournaments in the season’s first practice. He talked about the “long haul” of tournament basketball, and geared our strategies toward a successful run at the end of the season. I thought about the “long haul” when considering my brackets for
I recently read an article in which the winner of a Kaggle Competition was not shy about sharing his technique for winning not one, but several of the analytical competitions. “I always use Gradient Boosting,” he said. And then added, “but the key is Feature Engineering.” A couple days later,
