The SAS Data Science Blog
Advanced analytics from SAS data scientists
Reinforcement Learning (RL): How we removed hurdles to adoption
Wouldn’t it be cool if we establish a mechanism that provides more data scientists easy access to SAS Reinforcement Learning capabilities, from a centralized location and using a standardized approach?
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.