This blog post could be subtitled “To Catch a Thief” or maybe “Go ahead. Steal this blog. I dare you.”* That’s because I’ve used this technique several times to catch and report other web sites who lift the blog content from blogs.sas.com and present it as their own. Syndicating blog […]
The post Read RSS feeds with SAS using XML or JSON appeared first on The SAS Dummy.
Natural language understanding (NLU) is a subfield of natural language processing (NLP) that enables machine reading comprehension. While both understand human language, NLU goes beyond the structural understanding of language to interpret intent, resolve context and word ambiguity, and even generate human language on its own. NLU is designed for […]
So, you’ve figured out NLP but what’s NLU? was published on SAS Users.
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.