Data Glossary Lab

A Z-Test is a statistical hypothesis test used to determine whether the means of two distinct datasets are statistically different from each other, or whether a single dataset's mean differs from a known population mean.

Zipf’s Law is an empirical statistical rule that describes the frequency of occurrence of items within large datasets, with its primary application found in Natural Language Processing (NLP)

Zero-Shot Learning (ZSL) is a machine learning paradigm where a model is capable of recognizing or classifying data instances, such as images or text, that belong to classes it has never encountered during its training phase.

Z-score is a statistical measurement that describes a single data point's relationship to the mean, or average, of a complete group of values.