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When you perform a linear regression, you can examine the R-square value, which is a goodness-of-fit statistic that indicates how well the response variable can be represented as a linear combination of the explanatory variables. But did you know that you can also go the other direction? Given a set
When a medical emergency strikes, can you be certain where your ventilators are? When lives are at stake, delays become deadly. Hospital administrators and clinicians are under enormous pressure to properly track vital equipment so they can easily find it. Yet ageing hospital systems aren’t always up to the task.
Tis the season for my annual, fun Christmas themed blog post! This is the seventh year and my tenth song. I hope you enjoy this 2020 holiday song (to the tune of Rockin' around the Christmas Tree). Hackin around the Decision Tree at the SAS party hackathon Data science algorithms
The Smart Cities movement continues to forge ahead and evolve, led by innovative municipalities of all sizes. One of the towns at the forefront is Cary, North Carolina, adjacent to the Research Triangle Park and home of the SAS world headquarters. Cary Chief Information Officer Nicole Raimundo and her team
Gespräch mit den Machern der ZDF Mainzelmännchen.
Predictive models are a critical component for automated and augmented decision making. As this deployment pattern becomes more widely adopted, two competing priorities emerge. How can we deliver more models faster while being certain of accurate and consistent performance? The key to solving this dilemma is in the automated testing
A note from Udo Sglavo: This post offers an introduction to complex optimization problems and the sophisticated algorithms SAS provides to solve them. In previous posts of this series, we learned that data availability, combined with more and cheaper computing power, creates an essential opportunity for decision-makers. After looking at network analytics
It takes a lot of companies collaborating in a lot of new and different ways behind the scenes to make AI work seamlessly on the front lines. We see this all the time in our work on AI. Processing power is one of the most obvious examples – when clients
No início de 2020, numa parceria entre a Universidade de Lisboa e o SAS Portugal, foi criada a disciplina Practical Statistics and Data Science. Esta disciplina passou a fazer parte do plano de estudos do Mestrado em Matemática Aplicada à Economia e Gestão da Faculdade de Ciências da Universidade de
El 2020 nos ha enseñado que las predicciones, incluso las más previsibles, pueden no llegar a cumplirse. Sin embargo, el final de año siempre es un buen momento para echar la vista atrás y analizar qué tendencias estamos observando y, a partir de ellas, establecer las expectativas para el siguiente
Find out the most popular SAS Users YouTube channel how to tutorials, and learn a thing or two!
Do you know that you can create a vector that has a specific correlation with another vector? That is, given a vector, x, and a correlation coefficient, ρ, you can find a vector, y, such that corr(x, y) = ρ. The vectors x and y can have an arbitrary number
If you have plotted data on a map, you have probably tried to estimate the geographical (or visual) 'center' of map areas, to place labels there. But have you ever given any thought to the "center of population"? This is one of the myriad of statistics the US Census Bureau
Ganar dinero fácil a expensas de bancos y usuarios seguirá siendo el principal objetivo de los ciberdelincuentes por mucho tiempo. La carrera entre estos y los encargados de la seguridad de las instituciones financieras es continua: a medida que se implementan mecanismos de seguridad más avanzados, los ataques y las
In this article, we summarize our SAS research paper on the application of reinforcement learning to monitor traffic control signals which was recently accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. This annual conference is hosted by the Neural Information Processing Systems Foundation, a non-profit corporation that promotes the exchange of ideas in neural information processing systems across multiple disciplines.