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.
Tag: Analytics R&D
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.
Assess model bias in SAS Viya 4
SAS' Ricky Tharrington and Jagruti Kanjia explain two ways bias shows up in model predictions.