The SAS Data Science Blog
Advanced analytics from SAS data scientists
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.
Python à la carte: Configure repeatable & reusable Python environments
The Proc Python procedure, Python code editor & Python code step facilitate low-code analytics calling Python and SAS from a common interface. Data scientists also appreciate the connection to Python & R through the Model Studio Open-source Code node. Older methods of interaction include the swat and sas_kernel packages running on Python clients.