normalization Sentence Examples
- The normalization of data involves transforming it to a consistent scale for comparative analysis.
- Data normalization reduces variability and allows for meaningful comparisons across different sets.
- Normalization can be achieved through various techniques, such as mean centering or scaling to unit variance.
- Statistical normalization of data helps to minimize the impact of outliers and skewed distributions.
- Normalization is essential for many statistical methods, such as regression and ANOVA, to produce reliable results.
- In machine learning, feature normalization improves model performance by ensuring features have a comparable range of values.
- Text normalization involves standardizing text data by removing punctuation, accents, and other variations.
- Normalization of social norms refers to the process by which behaviors and beliefs become widely accepted and expected.
- The normalization process in biology involves the return of a system to a stable state after a perturbation.
- Normalization in psychology describes the habituation of an individual to a stimulus over time, leading to a reduction in response intensity.
normalization Meaning
normalization (n)
the imposition of standards or regulations
normalization (n.)
Reduction to a standard or normal state.
Synonyms & Antonyms of normalization
Synonyms:
Antonyms:
FAQs About the word normalization
the imposition of standards or regulationsReduction to a standard or normal state.
standardize, regularize, integrate, regulate, homogenize, coordinate, formalize,organize, equalize, govern
customize, tailor,customize, tailor,individualize, individualize,
The normalization of data involves transforming it to a consistent scale for comparative analysis.
Data normalization reduces variability and allows for meaningful comparisons across different sets.
Normalization can be achieved through various techniques, such as mean centering or scaling to unit variance.
Statistical normalization of data helps to minimize the impact of outliers and skewed distributions.
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