Sparse dictionary learning

Sparse dictionary learning is a way for computers to analyze patterns in data. It helps them understand how different data points fit together and can discover patterns that humans might not be able to spot. To do this, the computer might start with a list of words that help to describe the data. It'll look at how often each word appears in the data and how the words are related to each other. Based on this information, the computer can "learn" which words best describe the data and it can create a "dictionary" that summarizes the data in a way that makes sense. This dictionary can then be used to help the computer recognize patterns and make better decisions about the data.