The SAS Data Science Blog
Advanced analytics from SAS data scientists
Time series machine learning techniques show great promise for the analysis of health care wearable data. As our busy lifestyles render continuous monitoring more and more essential, the need to analyze data to find correlations between these data streams becomes even more important, because they can provide important cues to
The annual SAS Analytics Conference is upon us again. This year it is known by a different name, Analytics Experience 2016, but the location, Las Vegas, is the same as it has been the previous two years. Just like last year, I will be attending and presenting on analytics for panel
In our previous post, Econometric and statistical methods for spatial data analysis, we discussed the importance of spatial data. For most people, understanding that importance is relatively easy because spatial data are often found in our daily lives and we are all accustomed to analyzing them. We can all relate to