Marathons seem to be popular these days, therefore I decided to dive into some data and find a way to apply analytics. You might find this interesting if you're a fan of marathons - or if you like seeing the details behind cool graphing techniques! Before we get started, here's
In this blog, I use a Recurrent Neural Network (RNN) to predict whether opinions for a given review will be positive or negative. This prediction is treated as a text classification example. The Sentiment Classification Model is trained using deepRNN algorithms and the resulting model is used to predict if new reviews are positive or negative.
Jim Harris shares three more examples of how data quality improves AI in Part 2 of his series.
If you spend any time working with maps and spatial data, having a fundamental understanding of coordinate systems and map projections becomes necessary. It’s the foundation of how spatial data and maps work. These areas invariably evoke trepidation and some angst, even in the most seasoned map professional. And rightfully
Analytics has an important role to play in supporting the police to keep our communities safe, and I believe the benefits can be far-reaching. In my previous three posts, I discussed the role analytics can play in policing, reviewed the required data and highlighted a police force that is currently
Recently I wrote about how to compute the Kolmogorov D statistic, which is used to determine whether a sample has a particular distribution. One of the beautiful facts about modern computational statistics is that if you can compute a statistic, you can use simulation to estimate the sampling distribution of
As a publishing house inside of SAS, we often hear: “Does anyone want to read books anymore?” Especially technical programmers who are “too busy” to read. About a quarter of American adults (24%) say they haven’t read a book in whole or in part in the past year, whether in
Did you know that you can run Lua code within Base SAS? Learn more about what PROC LUA can do through some examples.
We recently had some severe storms come through North Carolina, which even spawned a tornado in Wake county (the county where I live and work). This got me wondering when and where we've had tornadoes in NC in the past ... and, of course, I had to create a map!
A long time ago, I was working on analytics in a bank, primarily in the area of risk. One project I worked on was about working out which products were profitable to help clean up the product portfolio. The project involved people from both risk and finance. As we worked
In the article Serverless functions and SAS Viya - a good match I discussed using serverless functions to deliver SAS Viya applications. Ignoring all the buzz words, a serverless function boils down to a set of REST APIs. So, if you tried the example you are now a REST API
Customer risk rating models play a crucial role in complying with the Know Your Customer (KYC) and Customer Due Diligence (CDD) requirements, which are designed to assess customer risk and prevent fraud. Today, the most common form of the Customer Risk Rating model is a score-based risk rating model. This
The year was 1987. I was getting ready to enter my freshman year at the University of North Carolina at Chapel Hill – go ahead, do the math. My mom and I received a letter asking us to participate in some research. Would we participate in a mother-daughter bone density
Have you ever run a statistical test to determine whether data are normally distributed? If so, you have probably used Kolmogorov's D statistic. Kolmogorov's D statistic (also called the Kolmogorov-Smirnov statistic) enables you to test whether the empirical distribution of data is different than a reference distribution. The reference distribution
I met many SAS programmers at the 2019 SAS Global Forum who geocode addresses using ArcGIS. Did you know that street address locations and other things can be found using the SAS GEOCODE procedure? PROC GEOCODE gives you coordinates for address, ZIP codes, ZIP+4 codes and cities. You can even
Interested in making business decisions with big data analytics? Our Wiley SAS Business Series book Profit Driven Business Analytics: A Practitioner’s Guide to Transforming Big Data into Added Value by Bart Baesens, Wouter Verbeke, and Cristian Danilo Bravo Roman has just the information you need to learn how to use
In SAS/IML programs, a common task is to write values in a matrix to a SAS data set. For some programs, the values you want to write are in a matrix and you use the CREATE FROM/APPEND FROM syntax to create the data set, as follows: proc iml; X =
May 12th is #NationalLimerickDay! If you saw our Valentine’s Day poem, you know we at SAS Press love creating poems and fun rhymes, so check out our limericks below! So, what’s a limerick? National Limerick Day is observed each year on May 12th and honors the birthday of the famed
You might have seen in the news that US exports of natural gas to Europe are up 300%. And we recently crossed the threshold where we export more natural gas than we import. This seems like a momentous occasion, and worthy of a graph! But first, let me make sure
Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. Many believe it’s simply an ovarian condition, but that couldn’t be farther from the truth. Instead, PCOS is a whole-body hormone condition that affects the ovaries. Hormones are the problem, ovaries are the victims.
Speak to almost anyone about artificial intelligence, and you’ll likely be met with either a furrowed brow of concerned cynicism or a wide-eyed smile of enthusiasm. AI seems to have this kind of highly polarising effect, certainly on citizens and many organisations who are still, understandably, evaluating how AI will
To those of you who have not read my previous post, Dividing by zero with SAS, it's not too late to go back and make it up. You missed a lot of fun, deep thought and opportunity to solve an unusual SAS coding challenge. For those who have already read
At SAS Global Forum 2019, Daymond Ling presented an interesting discussion of binary classifiers in the financial industry. The discussion is motivated by a practical question: If you deploy a predictive model, how can you assess whether the model is no longer working well and needs to be replaced? Daymond
Leaving home and moving onto a college campus is a point of significant transition for many young adults. Every non-commuting campus I am familiar with requires freshmen students to live on campus and there is good reason for this: students who live on campus have shown to earn a higher
David Loshin reminds us that data protection compliance applies to different individuals in different contexts – and not just GDPR and CCPA.
To say Michio Kaku is smart is an understatement. For a science fair in high school, he built a particle accelerator made of 400 pounds of scrap metal. Have you ever watched the TV show, The Big Bang Theory? Sheldon and Leonard support string theory research on the show. Kaku
From the boardroom to your living room, artificial intelligence (AI) is nearly everywhere today. Tipped as the most disruptive technology of all time, it has already transformed industries across the globe. And companies are racing to understand how to integrate it into their own business processes. AI is not a
App security is at the top of mind for just about everybody – users, IT folks, business executives. Rightfully so. Mobile apps and the devices on which they reside tend to travel around, without any physical boundaries that encompass the traditional desktop computers. In chatting with folks who are evaluating
Riddled with stress, awkwardness and formalities - it’s no secret that the job search process probably isn’t topping anyone’s list of how they’d like to spend their time. According to Inc.com, 73% of job seekers say that looking for a new job is one of the most stressful things in
Here's a simulation tip: When you simulate a fixed-effect generalized linear regression model, don't add a random normal error to the linear predictor. Only the response variable should be random. This tip applies to models that apply a link function to a linear predictor, including logistic regression, Poisson regression, and
