The SAS Data Science Blog
Advanced analytics from SAS data scientists
The SAS Batting Lab: The model powering the analysis
SAS research statistician Ji Shen reveals how to train a machine to be a batting coach.
Using Bayesian Additive Regression Trees for Flexible Outcome Modeling
SAS' Michael Lamm gives an overview of Bayesian Additive Regression Trees (BART) and demonstrates training and scoring BART models in SAS Visual Statistics.
How to become a data scientist: Who lives at the beach
Robert Blanchard's role as a data scientist at SAS has afforded him the flexibility to live where he wants, in his case, on a beach in San Diego.