SAS' Kris Stobbe shows how you can predict survival rates of Titanic passengers with a combination of both Python and CAS using SWAT, then see how the models performed.
There’s something about the calendar rolling over to a New Year that makes most of us want to set new goals or start fresh. I’m no different. This year’s goals regarding my own physical health included a commitment to having 8 – 10 servings of vegetables per day and more
Are you a statistical programmer whose company has adopted SAS Viya? If so, you probably know that the DATA step can run in parallel in SAS Cloud Analytic Services (CAS). As Sekosky (2017) says, "running in a single thread in SAS is different from running in many threads in CAS."
Most model assessment metrics, such as Lift, AUC, KS, ASE, require the presence of the target/label to be in the data. This is always the case at the time of model training. But how can I ensure that the developed model can be applied to new data for prediction?
This post describes a fully automated validation pipeline for analytical models as part of an analytical platform, which has been set up recently as part of a customer project.
Let us now take a look at a well-known metaphor for test case development in the software industry. We are referring to the idea of the “test pyramid."
In total, there are four posts in this blog series, this is the first post describing some basic principles of the DevOps (or ModelOps) approach.
In case you missed the news, there is a new edition of The Little SAS Book! Last fall, we completed the sixth edition of our book, and even though it is actually a few pages shorter than the fifth edition, we managed to add many more topics to the book.
Maybe you are new to AI and analytics. Or maybe you have been working with data and analytics for decades, even before we called this work data science or decision science. As the industry has broadened from statistics and analytics to big data and artificial intelligence, some things have remained
In this blog, I will show you how a Viya administrator can track and control resource usage of personal caslibs.
A previous article shows how to interpret the collinearity diagnostics that are produced by PROC REG in SAS. The process involves scanning down numbers in a table in order to find extreme values. This can be a tedious and error-prone process. Friendly and Kwan (2009) compare this task to a
In honor of Valentine’s day, we thought it would be fitting to present an excerpt from a paper about the LIKE operator because when you like something a lot, it may lead to love! If you want more, you can read the full paper “Like, Learn to Love SAS® Like”
There are many ways to add more "visual impact" to your maps. Some techniques grab the users' attention, but often don't add anything useful to the message the map is trying to convey (such as 3D tricks, or flashy/gratuitous images and infographics). I encourage you to design maps that have
Presence of machine learning is a complementary to human decision-making within the public sector.
If you’re a SAS user, you know that SAS Global Forum is where you want to be! It’s our premier, can’t-miss event for SAS professionals—that includes thousands of users, executives, partners and academics. It’s also our largest users’ event, organized by users, for users, and this year’s event marks our
What do a Pulitzer prize-winning author, an Emmy award-winning TV personality and one of the top 5 influencers in the world have in common? They’ll all be at SAS Global Forum this year. It’s where analytics enthusiasts and executive thought leaders meet to share strategies, get training in abundance, and
This blog is a part of a series on the Data Science Pilot Action Set. In this blog we review all nine actions in Python. Have you noticed the button bar in the upper right-hand corner of the SAS Visual Data Mining and Machine Learning Programming Guide? This button bar
In just minutes a day you can minimize stress, manage pain, control anxiety, lower blood pressure and improve emotional resiliency and productivity. You’re wondering what the catch is right? Well, there isn’t one. I know it might sound too good to be true, but what have you got to lose?
Having trouble easily moving software from one environment to another? Surely this ought to be an uncomplicated process, especially in the modern age of technology! However, let us consider an analytical model built in a design environment to detect fraudulent credit card transactions. This is now ready to be rolled
The Johnson system (Johnson, 1949) contains a family of four distributions: the normal distribution, the lognormal distribution, the SB distribution, and the SU distribution. Previous articles explain why the Johnson system is useful and show how to use PROC UNIVARIATE in SAS to estimate parameters for the Johnson SB distribution
The amount of data collected and analyzed by hospitals and health care organizations across the world was already on the rise, but the global pandemic has sharpened the focus on data even more. With trends changing not daily, but hourly, during the pandemic, health care professionals struggle to monitor larger
Assessing a company from the outside can be tricky business – but it shouldn’t be. That’s why we’re pulling back the curtain on the #saslife. From our values to our vision for the future, we’re giving a transparent look at what it’s really like to work here. At SAS, it’s
You can represent every number as a nearby integer plus a decimal. For example, 1.3 = 1 + 0.3. The integer is called the integer part of x, whereas the decimal is called the fractional part of x (or sometimes the decimal part of x). This representation is not unique.
Starting your data scientist journey? Want to build your own predictive models? SAS' Xavier Bizoux shows you how to use SAS Visual Analytics to identify which model likely to perform the best.
Fraud is a major issue for businesses across all industries, regardless of their size and industry in which they operate. The costs can be enormous (in extreme cases, even fatal) and include far more than the direct costs of any particular type of fraud. Companies must also deal with the
While Brexit has distracted us for the past few years, a far more subtle but important revolution has been happening right under our noses. Artificial intelligence (AI) has become a crucial part of our day-to-day. Self-learning machines are embedded in services or devices used by three-quarters of global consumers. And
The digital world around us is full of data that needs analysing. Maths has become visibly more important.
This blog is a part of a series on the Data Science Pilot Action Set. In this blog, we discuss updates to Visual Data Mining and Machine Learning with the release of Viya 3.5. In the middle of my blog series, SAS released Viya 3.5. Included in Viya 3.5 was the
Introducing Guest Blogger: Shelly Starling Shelly is a Fitness/Wellness intern at the Recreation and Fitness Center. She is pursuing an Associates degree in Health and Fitness Science at Wake Technical Community College. Her interest in mind/body connection led her to pursue her 200 hour yoga certification in 2017. She enjoys
One of the first and most important steps in analyzing data, whether for descriptive or inferential statistical tasks, is to check for possible errors in your data. In my book, Cody's Data Cleaning Techniques Using SAS, Third Edition, I describe a macro called %Auto_Outliers. This macro allows you to search
