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Programming Tips
Rick Wicklin 0
4 ways to standardize data in SAS

A common operation in statistical data analysis is to center and scale a numerical variable. This operation is conceptually easy: you subtract the mean of the variable and divide by the variable's standard deviation. Recently, I wanted to perform a slight variation of the usual standardization: Perform a different standardization

Advanced Analytics
Susan Kahler 0
Video: Image embedding using deep learning with Python (DLPy) and SAS Viya

An embedding model is a way to reduce the dimensionality of input data, such as images. Consider this to be a type of data preparation applied to image analysis. When an embedding model is used, input images are converted into low-dimensional vectors that can be more easily used by other computer vision tasks. The key to good embedding is to train the model so that similar images are converted to similar vectors.

Learn SAS
Marinela Profi 0
SAS and Open-Source Model Management (free eBook)

Turn analytical models into business value and smarter decisions with this special collection of papers about SAS Model Management. Without a structured and standardized process to integrate and coordinate all the different pieces of the model life cycle, a business can experience increased costs and missed opportunities. SAS Model Management solutions enable organizations to register, test, deploy, monitor, and retrain analytical models, leveraging any available technology – including open-source models in Python, R, and TensorFlow –into a competitive advantage.

Analytics
Mike Gilliland 0
The Forecaster as The Confidence Man

Everyone is familiar with The Confidence Man. This person can spout any sort of nonsense and easily demonstrable lies, and yet 40% of the people still believe him. The Confidence Man exposes a curious characteristic about human behavior: If you make your assertions with extreme confidence, no matter how obviously

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