How I used a SAS ML model and Intelligent Decisioning to build a calculator

If you are thinking that nobody in their right mind would implement a Calculator API Service with a machine learning model, then yes, you’re probably right. But considering curiosity is in my DNA, it sometimes works this way and machine learning is fun. I have challenged myself to do it, […]

How I used a SAS ML model and Intelligent Decisioning to build a calculator was published on SAS Users.

SAS Enterprise Session Monitor – Obsessing over Observability

Think about what a modern implementation of SAS looks like for a customer. Programmers rely on robust environments to run the models and programs that answer business questions. These environments can be different for platforms like SAS® 9 and SAS® Viya®. They can be deployed across distributed servers, either on […]

SAS Enterprise Session Monitor – Obsessing over Observability was published on SAS Users.

Creating Simulated Data Sets

There are times when it is useful to simulate data. One of the reasons I use simulated data sets is to demonstrate statistical techniques such as multiple or logistic regression. By using SAS random functions and some DATA step logic, you can create variables that follow certain distributions or are […]

Creating Simulated Data Sets was published on SAS Users.

Additional statistical capabilities in the containerized deployment of SAS Analytics Pro

SAS Analytics Pro consists of three core elements of the SAS system: Base SAS®, SAS/GRAPH® and SAS/STAT®. The containerized deployment option adds the full selection of SAS/ACCESS engines making it even easier to work with data from virtually any source.

Additional statistical capabilities in the containerized deployment of SAS Analytics Pro was published on SAS Users.