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Data Visualization | Learn SAS | SAS Events
Scott Hicks 0
Why Maps matter: Lessons learned from London's 1854 Cholera outbreak

The 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

Analytics | Data Visualization | SAS Events
Janny Morsink 0
What’s it like to recruit the next great soccer star? Find out in this data science escape room from SAS and SciSports

Have you ever dreamed of working for a professional sports organization? Do you play fantasy sports leagues and fantasize about owning a real team? Do you follow the news about player drafts and trades, and wish you could influence who your team picks? Well, here’s your chance. The latest SAS

SAS Administrators
Gerry Nelson 0
Where are my Viya files?

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.

Analytics | Machine Learning
David Tareen 0
Malignant or benign? Cancer detection with SAS Viya and NVIDIA GPUs

According to the World Cancer Research Fund, Breast cancer is one of the most common cancers worldwide, with 12.3% of new cancer patients in 2018 suffering from breast cancer. Early detection can significantly improve treatment value, however, the interpretation of cancer images heavily depends on the experience of doctors and technicians. The

Learn SAS | Programming Tips
Rick Wicklin 0
Convergence in mixed models: When the estimated G matrix is not positive definite

I've previously written about how to deal with nonconvergence when fitting generalized linear regression models. Most generalized linear and mixed models use an iterative optimization process, such as maximum likelihood estimation, to fit parameters. The optimization might not converge, either because the initial guess is poor or because the model

Analytics | Artificial Intelligence | Machine Learning
Charlie Chase 0
Is machine learning practical for statistical forecasting?

There's been a lot of hype regarding using machine learning (ML) for demand forecasting, and rightfully so, given the advancements in data collection, storage, and processing along with improvements in technology. There's no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods

Programming Tips
Leonid Batkhan 0
Dividing by zero with SAS

Whether you are a strong believer in the power of dividing by zero, agnostic, undecided, a supporter, denier or anything in between and beyond, this blog post will bring all to a common denominator. History of injustice For how many years have you been told that you cannot divide by

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