This post is written in the hopes of easing the SAS Viya deployment process for novices like me. Firstly, deploying SAS Viya, like most enterprise software packages, isn't a skill we're innately born with. We're going to need a little help, some good documentation, and time to absorb the intricoes
When we wrote the sixth edition of The Little SAS Book: A Primer, one of our goals was to write it for all SAS programmers regardless of which interface they use for coding: SAS Studio, SAS Enterprise Guide, the SAS windowing environment, or batch. This is harder than it sounds.
This blog is a continuation of a previous blog that discussed creating simulated data sets. If you have not seen it, you might want to review it, especially if you are not familiar with the RAND function. The program that I'm going to show you simulates a drug study with
SAS' Cindy Wang uses SAS Visual Analytics to explore how people around the world spend their days.
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,