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When our knowledge was contained in books, learning to read was vital to understanding the world. Today, new information is increasingly generated and communicated in numbers, charts and graphs. That’s why data literacy is emerging as an essential skill for everyone who wants to understand our data-rich world and make
Data science expert Andy Pulkstenis describes how to skip common machine learning mistakes.
In Part I of this blog post, I provided an overview of the approach my team and I took tackling the problem of classifying diverse, messy documents at scale. I shared the details of how we chose to preprocess the data and how we created features from documents of interest
In our last blog we explored the potential impact of missingness in data in terms of its impact on models which require complete case analysis. We took a simple view that data was missing with an equal, independent, probability for any given model input. This week we explore cases where
People love rankings. You've probably seen articles about the best places to live, the best colleges to attend, the best pizza to order, and so on. Each of these is an example of a ranking that is based on multiple characteristics. For example, a list of the best places to
What kind of movement do you hunger for? Yes, I said hunger for…what kind of movement would bring you joy? Maybe it’s a quick “snack” of restorative yoga postures, a set of barbell squats for “dessert”, or just a “side” of dancing for 5 minutes in the living room. Perhaps
During the pandemic, millions of people have made the leap to digital banking. Identity analytics can help banks provide a delightful customer experience while keeping fraudsters out in the cold. Fraud is often seen as a cost centre for banks, but there’s an opportunity for fraud teams to become a
Many cities have Open Data pages. But once you download this data, what can you do with it? I'm going to download several datasets from Cary, NC's open data page, and try to give you a few ideas to get you started on your own data exploration! And what data
As a huge road cycling fan, one of my favorite Olympic events is track cycling. With its speed and intensity, it is such a captivating set of events. While some events are sprint-focused and others are more endurance-focused, they all require powerful physical abilities, great bike-handling skills, cunning tactical expertise
Welcome to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like to start by learning a little more about what CAS Actions are, please see CAS Actions and Action Sets - a brief intro. Or if
Demand management concepts are now over 30 years old. The first use of the term "demand management" surfaced in the commercial sector in the late 1980s and early 1990s. Before that, the focus was on a more siloed approach to demand forecasting and planning that was manual and used simple
SAS System Engineer Sophia Rowland reveals how to embed decision flows into webpages and applications using the Microsoft Power Platform for a better customer experience.
Just over a year ago, SAS and Microsoft announced their strategic partnership. Since then we have been working together to provide the best experience and value to our customers as they migrate to the cloud. Here are six milestones you should know about; each highlights the early success of the two industry giants. The start of
The first few months with a newborn are a whirlwind of sleepless nights, diaper changes and feedings (all wrapped up in lots of baby snuggles though😊). After spending 9+ months focusing on eating the right foods and getting certain nutrients, new moms often shift this energy to taking care of
One of the benefits of using the SWEEP operator is that it enables you to "sweep in" columns (add effects to a model) in any order. This article shows that if you use the SWEEP operator, you can compute a SSCP matrix and use it repeatedly to estimate any linear