Deep neural networks (DNNs) are a popular machine-learning technique and have shown superior performance in many scientific problems. Despite their high prediction accuracy, DNNs are often criticized ...

Principal component analysis is a versatile statistical method for reducing a cases-by-variables data table to its essential features, called principal components. Principal components are a few ...

Variables often look like $var, but they also look like $1, $*, $? and $$. Let's take a look at what all these $ values can tell you. A lot of important values are ...