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Hello, loyal All Analytics readers. Whether you're a data scientist, a statistician or a decision maker with an analytical bent, we welcome you to our corner of the blogging world.
Unfortunately, the SAS sponsorship of All Analytics has come to an end. But you can find a lot of the same types of content on our SAS channels. We have blogs, discussion forums and webcasts, all covering the same analytics topics you were used to reading about on All Analytics.
Sequence models, especially recurrent neural network (RNN) and similar variants, have gained tremendous popularity over the last few years because of their unparalleled ability to handle unstructured sequential data. The reason these models are called “recurrent” is that they work with data that occurs in a sequence, such as text
Maybe you’ve heard of text analytics (or natural language processing) as a way to analyze consumer sentiment. Businesses often use these techniques to analyze customer complaints or comments on social media, to identify when a response is needed. But text analytics has far more to offer than examining posts on
Hospitals use SAS for antibiotic stewardship to focus on using antibiotics in a rational way. The purpose is to reduce antimicrobial resistance and excessive or inappropriate prescription of antibiotics. In this short blog post, I answer five of the most common questions concerning how data can prevent antimicrobial resistance. 1. Why
This article shows how to construct a butterfly plot in SAS. A butterfly plot (also called a butterfly chart) is a comparative bar chart or histogram that displays the distribution of a variable for two subpopulations. A butterfly plot for the cholesterol readings of 5,057 patients in a medical study
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