Employment – that’s been a hot topic here in the US lately. Many of the manufacturing jobs we had in past decades are gone now, and it would be great if there was a crystal ball to predict which jobs might be at risk of disappearing in the future. The researchers at Ball State University… Continue reading Risks to US employment – automation and offshoring
Machine learning commonly requires the use of highly unbalanced data. When detecting fraud or isolating manufacturing defects, for example, the target event is extremely rare – often way below 1 percent. So, even if you’re using a model that’s 99 percent accurate, it might not correctly classify these rare events. What can you do to… Continue reading Machine learning best practices: detecting rare events
Nowadays, whether you write SAS programs or use point-and-click methods to get results, you have choices for how you access SAS. Currently, when you open Base SAS most people get the traditional SAS windowing environment (aka Display Manager) as their interface. But it doesn’t have to be that way. If you use Microsoft Windows as… Continue reading Organize your work with SAS® Enterprise Guide® Projects
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 are known. For example, researchers… Continue reading 3 ways to visualize prediction regions for classification problems
APIs (Application Programming Interfaces) are everywhere. We use them every day, whether we are aware of it or not. They are basically the bridges that enable one piece of software to talk to another – Uber’s app to Google Maps, for example, or Amazon’s Alexa to music-playing services or train timetables, or Ebay to your… Continue reading APIs for analytics: Accessibility, Repeatability and Creativity
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 a bit to focus on… Continue reading Are more women getting STEM degrees?
Application programming interfaces, otherwise known as APIs, are set to radically change the face of analytics. These little bits of code are working behind the scenes, hidden treasures that allow two pieces of code to talk to each other. This means that developers can borrow functionality from other apps. For example, Facebook’s API means that… Continue reading How will APIs change the role of data scientists?