The SAS Data Science Blog
Advanced analytics from SAS data scientists
SAS opens its code editor interface to Python users
[Editor's note: this post was co-authored by Marinela Profi and Wilbram Hazejager] Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let's just say each team is unique. As part
Using State Space Models for the Stability Monitoring of Streaming Data
SAS' Rajesh Selukar introduces you to a new scoring feature.
How SAS developed a digital twin of a supply chain
SAS' Bahar Biller, an operations researcher, details how to develop a supply chain digital twin.