Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Correlation coefficients are used to measure the strength of the linear relationship between two variables. A correlation coefficient greater than zero indicates a positive relationship, while a ...

Learn how to detect outliers, how they impact your regression coefficients, and how to trim or winsorize them. Compare the pros and cons of each method.

Linear regression is a popular and powerful technique for finding the relationship between a set of variables. However, it is sensitive to outliers, which are extreme or unusual values that ...

Jamie Steed's deep dive into four fantasy baseball starting pitchers to decide if their surprisingly good form merits a ...

As a result, and except under very rare conditions, which I specify, virtually nobody can consistently “time the market.” unless you’re a perfectly prescient trader, which nobody ever has been, is or ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

The notion of a generic ‘point’ or ‘element’ of a variety, i.e., the distinction between properties that pertain in general to the points of a variety and properties that only pertain to exceptional ...