Normálizálás

Normálizálás is a Hungarian term that translates to normalization in English. It refers to a process of standardizing or bringing something into a normal, expected, or baseline state. The specific meaning of normálizálás depends heavily on the context in which it is used.

In statistics and data analysis, normálizálás often refers to scaling data to a specific range, typically between 0 and 1, or transforming it to follow a standard distribution, such as a normal distribution. This is done to make different datasets comparable or to prepare data for certain machine learning algorithms that assume specific data distributions.

In linguistics, normálizálás can describe the process by which a language or a dialect becomes more standardized, often through the establishment of common grammar rules and vocabulary. This can involve codifying existing usage or consciously shaping the language to be more consistent.

In a more general sense, normálizálás can apply to any situation where a deviation from a standard or a norm is being corrected. This could involve social norms, industrial standards, or even the normalization of symptoms in a medical context, where a return to a healthy state is considered normal. The core idea is the establishment or re-establishment of a recognized standard or typical condition.