As word spreads that SAS integrates with open source technologies, people are beginning to explore how to connect, interact with, and use SAS in new ways. More and more users are examining the possibilities and with this comes questions like: How do I code A, integrate B, and accomplish C? […]
Launching the Developers Community in SAS Communities was published on SAS Users.
he catch phrase “everything happens somewhere” is increasingly common these days. That “somewhere” translates into a location on the Earth; a latitude and longitude. When one of these “somewhere’s” is combined with many other “somewhere’s”, you quickly have a robust spatial data set that becomes actionable with the right analytic […]
How the 1854 Cholera outbreak showed us the importance of spatial analysis was published on SAS Users.
Recently, you may have heard about the release of the new SAS Analytics Cloud. The platform allows fast access to data-science applications in the cloud! Running on the SAS Cloud and using the latest container technology, Analytics Cloud eliminates the need to install, update, or maintain software or related infrastructure. […]
SAS® Analytics Cloud—an interview with the women involved was published on SAS Users.
You are a data scientist, in your office, doing data scientist-y things when, your manager’s, manager’s, manager makes an impossible request. She wants you take a raw data set from the stem cell research team, scrub the data, create and score models, and be ready to rescore when new data […]
Zero to SAS in 60 Seconds- SAS Machine Learning on SAS Analytics Cloud was published on SAS Users.
When working with files like SAS programs, images, documents, logs, etc., we are used to accessing them in operating system directories. In Viya, many of these files are not stored on the file-system. Let’s look at where and how files are stored in Viya, and how to manage them.
Where are my Viya files? was published on SAS Users.
Structuring a highly unstructured data source Human language is astoundingly complex and diverse. We express ourselves in infinite ways. It can be very difficult to model and extract meaning from both written and spoken language. Usually the most meaningful analysis uses a number of techniques. While supervised and unsupervised learning, […]
Text analytics explained was published on SAS Users.