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Advanced Analytics | Machine Learning
Wayne Thompson 0
Why you should add statistical learning to your machine learning tool kit

Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many

Work & Life at SAS
Alyssa Grube 0
Our Storytellers: Andrew Magee

We’re proud of our unique company culture that spans across offices, divisions and geographies. It’s one of the reasons SAS was recently named among the top workplaces in the world by Fortune’s Great Place to Work! If you’re curious about what it is that makes SAS such a great place to work, one answer

Analytics | Fraud & Security Intelligence
Tom Wriggins 0
Fighting fraud in the new world of Value-Based Payments

Ladies and gentlemen, I give you Value-Based Payments (VBP), health care’s new magic, “silver bullet” that will solve all our fraud problems. Last month, the US Department of Health and Human Services (HHS) issued a press release entitled, “HHS Proposes Stark Law and Anti-Kickback Statute Reforms to Support Value-Based and

Data Visualization
Cindy Wang 0
How to Visualize Time Series Decomposition using SAS® Visual Analytics

Time-series decomposition is an important technique for time series analysis, especially for seasonal adjustment and trend strength measurement. Decomposition deconstructs a time series into several components, with each representing a certain pattern or characteristic. This post shows you how to use SAS® Visual Analytics to visually show the decomposition of

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