All of the data structures we’ll look at in this series are aggregates. Containers. Anything from which data items are stored and retrieved could be considered a data structure.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Researchers at Stanford and Université Paris-Saclay in France recently proposed an artificial intelligence that predicts the location, duration, and type of events in EEG charts.

The match, though, wasn’t ... Algorithm Helps NYPD Spot Crime Patterns ... it accurately re-created old crime patterns one-third of the time and returned parts of patterns 80 percent of the time.