Summary: Advances in very low cost compute and Model Based Reinforcement Learning make this modeling technique that much closer to adoption in the practical world. We k...
Data science is more popular than ever, but many data scientists struggle with complicated workflows to run their models as well as how to best communicate the output to ...
My views on how to effectively align daily decisions to business objectives At first glance, the odds of winning at rock-paper-scissors is one in three… right? Well, if...
Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with 10 observations. ...
Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same busi...
Summary: Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans. Defining...
Learn how the National Football League (NFL) uses mathematical optimization to solve one of the hardest scheduling problems in existence. At first glance, the NFL’s sch...
In today’s Data Science Central podcast, we will show you how SAS Viya, a cloud-enabled and API-driven analytics engine, can easily automate decisioning at a produc...
Most of us working in business intelligence and data science spend a lot of time creating data models, reports and beautiful dashboards. Even though the models are great ...