Machine Learning Glossary

Z-Mean

Z-Mean in machine learning refers to the average of the z-scores of a dataset. It's a statistical measure used in the normalization of data.

Z-Score Normalization

Z-score normalization is a technique in data preprocessing where the values in a feature are scaled based on the mean and standard deviation of the feature. This results in a distribution with a mean of zero and a standard deviation of one.

Zero-Shot Learning

Zero-shot learning in machine learning is the ability of a model to correctly make predictions for classes it has not seen during training. It relies on understanding the relationships between classes.