The SAS Data Science Blog
Advanced analytics from SAS data scientists
Digital twin development: Why simulations are critical
SAS' Bahar Biller reveals how simulations enable KPI generation, risk quantification, risk management and more.
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.