In this article we focus on the detection of possible outliers based on the widely used boxplot procedures. The outliers in a set of data are defined to be a subset of observations that appear to be ...

In my last few articles, I've looked at a number of ways machine learning can help make predictions. The basic idea is that you create a model using existing data and then ask that model to predict an ...

President Joe Biden remarked Friday that the Supreme Court's decision overturning Roe v. Wade made the U.S. an "outlier" in the West. "With this decision, the conservative majority of the Supreme ...

Aaron Rasmussen, co-founder and former creative director of MasterClass, has a new startup called Outlier.org. Like MasterClass, Outlier is bringing education online, but with a key difference — these ...