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Analytics | Data Management
John Gottula 0
From 9 cows to the future of agtech

The COVID-19 pandemic challenged agriculture and supply chains, but the overarching resilience of agriculture around the world speaks to the industry's efficiency, built-in redundancy and indispensability. In the US, flourishing interactions between government, industry and academic stakeholders underscore how ag represents unity and consilience. And there may be no better

Work & Life at SAS
Alyssa Grube 0
Using what you have, right where you are

Written by Allison Hines and Kara Roberts  To encourage and inspire others to think of ways to give back during this pandemic, we’re sharing stories of how SAS employees are spreading compassion in their local communities. They’ve done everything from making masks and preparing meals for their communities to leading virtual dance classes and collecting supplies for hospitals. Keep reading to learn how our employees are lifting spirits

Analytics
Mike Gilliland 0
Forecasting with SAS (free eBook)

Forecasting with SAS®: Special Collection SAS Press has added to its selection of free downloadable eBooks with the new Forecasting with SAS®: Special Collection. From the description: Want to get the most insight out of your data and improve the quality of your forecasts? SAS offers many different solutions to

Advanced Analytics | Machine Learning
Rick Wicklin 0
The Kullback–Leibler divergence between discrete probability distributions

If you have been learning about machine learning or mathematical statistics, you might have heard about the Kullback–Leibler divergence. The Kullback–Leibler divergence is a measure of dissimilarity between two probability distributions. It measures how much one distribution differs from a reference distribution. This article explains the Kullback–Leibler divergence and shows

Programming Tips
Rick Wicklin 0
Bilinear interpolation in SAS

This article shows how to perform two-dimensional bilinear interpolation in SAS by using a SAS/IML function. It is assumed that you have observed the values of a response variable on a regular grid of locations. A previous article showed how to interpolate inside one rectangular cell. When you have a

Programming Tips
Rick Wicklin 0
What is bilinear interpolation?

I've previously written about linear interpolation in one dimension. Bilinear interpolation is a method for two-dimensional interpolation on a rectangle. If the value of a function is known at the four corners of a rectangle, an interpolation scheme gives you a way to estimate the function at any point in

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