The SAS Data Science Blog
Advanced analytics from SAS data scientists
A note from Udo Sglavo: At SAS, what we deliver to our customers is a product of creative minds thinking differently, challenging the norm, taking risks, and learning from trial and error (The greatest teacher, failure is). For the return of World Creativity & Innovation Week, we want to share
SAS' Brian Gaines provides a primer on GAMs.
SAS' Xuejun Liao weighs the pros and cons of collaborative filtering and supervised learning and explores their use in a unified framework.
If you are an Enterprise Miner user, do not miss the opportunity to try out Model Studio in SAS Viya. I am sure you will love it!
The application of IoT devices and artificial intelligence in healthcare presents numerous opportunities in use cases like training, research, end-of-life care, treatment, keeping well, early detection, diagnosis, and decision-making.
With modern advancements in artificial intelligence, we can teach computers to achieve super-human performance in retro videogames.