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Phil Simon chimes in with some tips on how to set these folks loose.
Migration, version road maps and configurations were the themes of several questions that came up in a recent webinar about combining SAS Grid Manager and SAS Viya. This blog post gives the answers.
Fall…it’s my favorite time of year. The air is crisp, the leaves are colorful and exercising outdoors is once again appealing. Most of all, its this time of year that I turn my attention to one of my favorite events of the year: #GivingTuesday. While Cyber Monday and Black
When solving optimization problems, it is harder to specify a constrained optimization than an unconstrained one. A constrained optimization requires that you specify multiple constraints. One little typo or a missing minus sign can result in an infeasible problem or a solution that is unrelated to the true problem. This
With today being an election day here in the US, I see a lot of people wearing the 'I Voted' sticker. This got me wondering if I could create my own sticker ... using SAS software and simple graphics primitives. :-) So I started by using Proc Gslide to create
I've collected accelerometer data with a third-party app. I've used some SAS tricks to import all of my data readings in a single step. Now I'm ready to create a report of these data in SAS Visual Analytics.
You can communicate with various clients (SAS, Python, Lua, Java, and REST) in the same place using SAS® Cloud Base Analytics Services (CAS) in SAS Viya. But before you can do any analysis in CAS you need some data to work with, and a way to get to it. Check out this dynamic data selection tip using SAS Viya and Python.
인공지능(AI)은 1950년대부터 머신러닝, 링크 걸기 시작 딥러닝(deep learning), 인지 컴퓨팅(cognitive computing)이 점차 발전하면서 우리와 꽤 오랜 시간을 함께 해왔습니다. 최근 달라진 점이 있다면 아마 활용할 수 있는 데이터의 양이 어마어마하게 늘었다는 것인데요. 방대한 양의 데이터 덕분에 오늘날 과거에는 불가능했던 방식으로 인공지능 기반의 모델을 학습시킬 수 있게 되었습니다. 이러한 인공지능은 지금의 세상과 거대한 데이터를 이해하는
What’s the most important component of analytic analysis? The data? The model? The deployment? Getting the business problem right? All the above? Or does it simply depend on who you ask? While the model gets all the attention, and the data requires most of the effort, there is that step
“Siento que este tipo lo que quiere es resolver mi problema” En mi opinión la elección de nuestro cliente depende principalmente de tres factores: 40% de nuestro producto, 40% de nuestro trabajo, 20% de cuestiones que están fuera de nuestro control. Podemos discutir horas respecto a la precisión de estos
What does it take to see the work we do as more than a source of income? It's about looking beyond the day-to-day tactical items of a to-do list. For our employees, it's about connecting to the significant contributions SAS makes to the world. And our own Jared Peterson experienced
Will the real Pareto distribution please stand up? SAS supports three different distributions that are named "Pareto." The Wikipedia page for the Pareto distribution lists five different "Pareto" distributions, including the three that SAS supports. This article shows how to fit the two-parameter Pareto distribution in SAS and discusses the
In their new book, SAS Viya: the R Perspective, Kevin Smith and Xiangxiang Meng provide an overview of using R with the SAS Viya platform. Read on to see how R programmers can use CAS.
Los avances tecnológicos, las expectativas de los clientes y las regulaciones que redefinen el mercado, han sido puntos clave para que el sector de los seguros se enfoque en el crecimiento de sus ventas, su rentabilidad y la lealtad y el cuidado de sus clientes. ¿Qué ha pasado entonces? las
Who says technical people can't have fun!?! Similar to Throwback Thursday / #TBT (when people post one of their old/nostalgic photos on social media), I like the tradition of Fun Friday when I use a fun data topic to test our software - a test can be just as rigorous using