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Written by RFC Staff. Known for their fancy turns and agility, Recreation and Fitness Center (RFC) staff innovatively support SAS employee health with fitness, wellness, and recreation programs. We pride ourselves on being part of SAS's wellness team inspiring and empowering those who inspire and empower with the most trusted
Linear programming (LP) and mixed integer linear programming (MILP) solvers are powerful tools. Many real-world business problems, including facility location, production planning, job scheduling, and vehicle routing, naturally lead to linear optimization models. Sometimes a model that is not quite linear can be transformed to an equivalent linear model to reduce
A Deep-Q Network (DQN) is a reinforcement learning technique that attempts to model the actions that perform best in each state in real-time.
Se dice que la pandemia aceleró los procesos de transformación digital de muchas empresas en por lo menos 5 años. Para el caso de las empresas del sector bancario esta estimación puede ser aún mayor. Debido a la pandemia del COVID-19 y según cifras de la Superintendencia Financiera, en Colombia la banca móvil y la banca por internet crecieron
Los datos están vivos y evolucionan con el transcurso de los años. Por otro lado, la realidad que vivían las empresas hace unas décadas dista bastante de la actual, y esta “fotografía” está en constante movimiento. En este contexto, ¿cómo ha cambiado el papel de la analítica de datos en
As I sit and write this blog, the rain is coming down. The rain absorbs into the plants and Earth and supplies its liquid goodness to the aquifers in the ground promoting life above. Earth is a water planet and our bodies are 70% water. We started our beginnings in
Here is an interesting math question: How many reduced fractions in the interval (0, 1) have a denominator less than 100? The question is difficult is because of the word "reduced." If we only care about the total number of fractions in (0,1) whose denominator is less than 100, we
SAS' Leonid Batkhan reveals coding techniques that give you control of when and whether global statements are executed.
This is another in my series of blog posts where I take a deep dive into converting customized R graphs into SAS graphs. Today we'll be working on bar charts ... And to give you a hint about what data I'll be using this time, here's a picture from a SAS
Learn why a data catalog is so valuable in helping you find and use big data at your business.
A SAS customer wanted to compute the cumulative distribution function (CDF) of the generalized gamma distribution. For any continuous distribution, the CDF is the integral of the probability density function (PDF), which usually has an explicit formula. Accordingly, he wanted to compute the CDF by using the QUAD function in
Please join us on Tuesday, March 16 for what should be an exciting discussion on the current challenges and emerging best practices in demand forecasting. I'll be moderating this very distinguished panel: Nicolas Vandeput - supply chain data scientist, specialized in demand forecasting and inventory optimization; author of the book
As an American child growing up on a military base in Germany, I learned many important life lessons. One of the most important was about language and communication. I realized at age 12 that, even though I could speak German, I thought in English -- and it led me to
Date and time values are handled differently when programming in DS2. It can process databases and has access to ANSI data types, which have greater precision.
We learned this week of the passing of one of the giants in our field, Tom Wallace. Tom was as gracious and fine a gentleman as you'll meet. Through his writing, teaching, and consulting work -- in frequent collaboration with Bob Stahl -- tens of thousands of industry practitioners have