Definition: In statistics and machine learning, a "standardizer" is a function or algorithm that converts a set of data into a standardized form. This means that each value in the dataset is normalized to have a mean of 0 and a standard deviation of 1. The goal of standardizing data is often to make it easier for models to learn from it, as it makes it more "balanced" or uniform across different groups. Standardization can be useful in a variety of applications such as image processing
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