SAS Data Science Academy creates modern Data Scientists : Experience Sharing

March 5, 2018
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 SAS Academy for Data Science  has been churning out high quality of data scientists for a quite few years thereby full filling the demand supply gap that exists in the area. It enables career seekers to enhance their skills and known worldwide by obta...
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The probability of a saddle point in a matrix

March 5, 2018
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The probability of a saddle point in a matrix

Many people know that a surface can contain a saddle point, but did you know that you can define the saddle point of a matrix? Saddle points in matrices are somewhat rare, which means that if you choose a random matrix you are unlikely to choose one that has a

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Solve a system of nonlinear equations with SAS

February 28, 2018
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Solve a system of nonlinear equations with SAS

This article shows how to use SAS to solve a system of nonlinear equations. When there are n unknowns and n equations, this problem is equivalent to finding a multivariate root of a vector-valued function F(x) = 0 because you can always write the system as f1(x1, x2, ..., xn)

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Gartner’s 2018 Take on Data Science Tools

February 26, 2018
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Gartner’s 2018 Take on Data Science Tools

I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40+ pages of my report, … Continue reading
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How to use FIRST.variable and LAST.variable in a BY-group analysis in SAS

February 26, 2018
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How to use FIRST.variable and LAST.variable in a BY-group analysis in SAS

My article about the difference between CLASS variables and BY variables in SAS focused on SAS analytical procedures. However, the BY statement is also useful in the SAS DATA step where it is used to merge data sets and to analyze data at the group level. When you use the

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A Monte Carlo algorithm to estimate a median

February 21, 2018
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A Monte Carlo algorithm to estimate a median

This article describes and implements a fast algorithm that estimates a median for very large samples. The traditional median estimate sorts a sample of size N and returns the middle value (when N is odd). The algorithm in this article uses Monte Carlo techniques to estimate the median much faster.

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Examining 200k+ Russian troll tweets

February 20, 2018
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Unless you live under a rock, you've probably seen news reports that Russian trolls have been posting on social media to allegedly conduct what they called "information warfare against the United States, with the stated goal of spreading distrust towar...
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Six new SAS books for 2018

February 19, 2018
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Start off the New Year by brushing up your SAS programming skills! Begin your goal to become SAS certified or explore these New SAS books and other SAS Press titles, many of which will be making their bookshelf debut at SAS® Global Forum 2018 in Denver...
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Compute the quantiles of any distribution

February 19, 2018
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Compute the quantiles of any distribution

Your statistical software probably provides a function that computes quantiles of common probability distributions such as the normal, exponential, and beta distributions. Because there are infinitely many probability distributions, you might encounter a distribution for which a built-in quantile function is not implemented. No problem! This article shows how to

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