An important problem in machine learning is the "classification problem." In this supervised learning problem, you build a statistical model that predicts a set of categorical outcomes (responses) based on a set of input features (explanatory variables). You do this by training the model on data for which the outcomes
Editor-in-Chief Len Tashman's Preview The forecasting field is surely cross-disciplinary, as exemplified by the diverse membership of the International Institute of Forecasters (the publisher of this journal), but it is also multidimensional, as can be clearly seen in this Summer 2017 issue. The articles youโll read here encompass sales and
Phil Simon chimes in on the immediacy of enterprise data.
For the past several years, efforts have been under way to recruit more women into the STEM (science, technology, engineering, and math) fields. I recently saw an interesting graph showing the percentage of bachelor's degrees conferred to women in the US, and I wondered if I could tweak that graph
I started my training in machine learning at the University of Tennessee in the late 1980s. Of course, we didnโt call it machine learning then, and we didnโt call ourselves data scientists yet either. We used terms like statistics, analytics, data mining and data modeling. Regardless of what you call
Artificial intelligence promises to transform society on the scale of the industrial, technical, and digital revolutions before it. Machines that can sense, reason and act will accelerate solutions to large-scale problems in myriad of fields, including science, finance, medicine and education, augmenting human capability and helping us to go further,
I recently showed how to compute a bootstrap percentile confidence interval in SAS. The percentile interval is a simple "first-order" interval that is formed from quantiles of the bootstrap distribution. However, it has two limitations. First, it does not use the estimate for the original data; it is based only
Carbon Dioxide ... CO2. Humans breathe out 2.3 pounds of it per day. It's also produced when we burn organic materials & fossil fuels (such as coal, oil, and natural gas). Plants use it for photosynthesis, which in turn produces oxygen. It is also a greenhouse gas, which many claim
I don't have a big vacation planned this summer. Don't feel sorry for me... I am going to Germany for a week in October and on Friday I leave for my second weekend at the beach. I have recently been reading about what makes a vacation "restorative". There is some cool
Everyone is talking about artificial intelligence (AI). In fact, many SAS customers who've been using our analytics capabilities for years or even decades are asking: What can we do with AI? What exactly is AI from a software perspective? How can we infuse cognitive computing into our customer interactions and on the customer
Die (technologische) Verรคnderung kommtโฆ und sie kommt schnell. Digitalisierung ist nicht mehr nur โin aller Mundeโ, sondern inzwischen in den Unternehmen angekommen. Das zeigte das SAS Forum Deutschland 2017, das am 29. Juni im World Conference Center in Bonn stattfand und das rund 1.200 Teilnehmer besuchten und etwa ebenso viele
Joyce Norris-Montanari explains why it's so important to pick the right tools to manage your big data.
I previously wrote about how to compute a bootstrap confidence interval in Base SAS. As a reminder, the bootstrap method consists of the following steps: Compute the statistic of interest for the original data Resample B times from the data to form B bootstrap samples. B is usually a large
For the fifteenth year, the International Institute of Forecasters, in collaboration with SASยฎ, is proud to announce research grants for how to improve forecasting methods and business forecasting practice. The award for the 2017-2018 year will be two $5,000 grants, in Business Applications and Methodology. Criteria for the award of
Two of my colleagues have shared their experiences as a statistic and a child who could have been left behind. I too have my own story that helped drive my passion. All of us define equity in different ways. Equity is a concept that is hard to define, and we
For colleges and universities, awarding financial aid today requires sophisticated analysis. When higher education leaders ask, โHow can we use financial aid to help meet our institutional goals?โ they need to consider many scenarios to balance strategic enrollment goals, student need, and institutional finances in order to optimize yield and
In an IoT world, everything is connected. But what does it mean to be connected? Does it mean being plugged in to your phone, car, home, TV, favorite apps and retailers? Does it mean knowing whatโs happening all around you? And having the โthingsโ youโre connected to acting as recommender
When building models, data scientists and statisticians often talk about penalty, regularization and shrinkage. What do these terms mean and why are they important? According to Wikipedia, regularization "refers to a process of introducing additional information in order to solve an ill-posed problem or to prevent overfitting. This information usually
Helmut Plinke explains why modernizing your data management is essential to supporting your analytics platform.
A SAS customer asked how to use SAS to conduct a Z test for the equality of two proportions. He was directed to the SAS Usage Note "Testing the equality of two or more proportions from independent samples." The note says to "specify the CHISQ option in the TABLES statement
์ต๊ทผ ๊ธ์ต, ํต์ , ์๋์ฐจ, ๊ณต๊ณต, ๋ฆฌํ ์ผ, ๊ต์ก ๋ฑ ๋ชจ๋ ์ฐ์ ์ ๊ดํตํ๊ณ ์๋ ํ ๋จ์ด๊ฐ ์์ต๋๋ค. ๋ฐ๋ก 4์ฐจ ์ฐ์ ํ๋ช ์ธ๋ฐ์. ๋น ๋ฐ์ดํฐ, ์ฌ๋ฌผ์ธํฐ๋ท(IoT), ์ธ๊ณต์ง๋ฅ(๋จธ์ ๋ฌ๋), ๋ก๋ด ๋ฑ ์ฒจ๋จ ICT ๊ธฐ์ ์ ์ตํฉ์ผ๋ก ์์ฑ๋๋ 4์ฐจ ์ฐ์ ํ๋ช ์ ๋ฏธ๋ ์ฐ์ ์ ํ์ ์ฑ์ฅ ๋๋ ฅ์ผ๋ก ์๋ฆฌ์ก์์ต๋๋ค. ๊ทธ ์ค์์๋ ํนํ ์ ์กฐ์ ์ ์ด๋ฅธ๋ฐ โ์ธ๋์คํธ๋ฆฌ 4.0โ์ ์ด๋ฐ๊ณผ ํจ๊ป ๊ทธ ์๋ก์ด ํ๋ช ์ ์์์ ์๋ ธ๋๋ฐ์.
When I arrived for a training course with the name, "Powerful storytelling for tech," I was surprised to discover that most of the attendees worked in sales, rather than the marketing and communications crowd I'd been expecting. They were all there to learn how best to engage prospects โ how
If you spend a lot of time in SAS Enterprise Guide (as I do), you probably get to know its features pretty well. But we don't always take the time to explore as we should, so there might be a few golden nuggets of editor knowledge that have escaped you
The Kettlebell (KB) clean is a multi-joint movement that incorporates a squat, a pull, and shoulder rotation. You will work to maximize momentum generated in the lower body to use your upper body while challenging core stability. This exercise requires a little coordination and precision, so take your time learning
Students in introductory statistics courses often use summary statistics (such as sample size, mean, and standard deviation) to test hypotheses and to compute confidence intervals. Did you know that you can provide summary statistics (rather than raw data) to PROC TTEST in SAS and obtain hypothesis tests and confidence intervals?
We live in exciting times. Our relationships with machines, objects and things are quickly changing. Since mankind lived in caves, we have pushed our will into passive tools with our hands and our voices. Our mice and our keyboards do exactly as we tell them to, and devices like the
์ง๋ 4์, ๋ฏธ๊ตญ ์ฌ๋ฌด๋ถ ์ฐํ์ ๊ธ์ต๋ฒ์ฃ๋จ์๋ฐ โFinCEN(Financial Crime Enforcement Network)โ์ด ๋ถํ์ ์๊ธ์ธํ ๋ฐ ํ ๋ฌ์๊ธ์กฐ๋ฌ ์ํ ๊ตญ๊ฐ๋ก ์ง์ ํ๊ณ , ๊ธ์ต ๊ธฐ๊ด์ ์ฃผ์๋ณด๋ฅผ ๋ฐ๋ นํ์ต๋๋ค. ํธ๋ผํ ํ์ ๋ถ๊ฐ ๋ค์ด์ ์ดํ ์ฒซ ๋ฐ๋ น์ธ๋ฐ์. ๋ฏธ๊ตญ ์ฐ์ ์ฃผ์๋ฅผ ์ ์ฐฝํ๋ ํธ๋ผํ ์ ๋ถ์ ๊ณ ์กฐ๋๋ ๋ฐํ ๋ฌ ์ ์์ ๋ฐ๋ผ ๋ฏธ๊ตญ ๊ธ์ต ๋น๊ตญ์ AML ๊ท์ ๋ ๋์ฑ ์ฌํ๋ ๊ฒ์ด๋ ์ ๊ณ ์ ๋ง์ ๋๋ค. ์ค์ ์ต๊ทผ ์คํ ๋ค๋ ์ฐจํ๋
Choosing great colors for a graph is sometimes the most difficult part. And here is yet another thing you need to worry about ... sometimes colors represent different things in different cultures! In this blog post, I improve a graphic to help you get a grasp on those color-to-culture relationships.
David Loshin discusses big data identity resolution in a programming and execution environment.
I'm sure I'm not the only one who has read and contributed to threads on the internet about all the different languages used for data mining. But one aspect that's been left out of most of these comparisons is that SAS is more than a 4th generation programming language (4GL).
