resampling Definition
- 1a statistical technique used to obtain new data points by randomly selecting and reusing existing data points
- 2the process of changing the resolution of a digital image or signal by adding or removing samples
Using resampling: Examples
Take a moment to familiarize yourself with how "resampling" can be used in various situations through the following examples!
Example
Resampling is often used in data analysis to create more accurate models.
Example
The resampling of the image resulted in a loss of quality.
Example
Bootstrapping and cross-validation are two common resampling techniques.
resampling Synonyms and Antonyms
Synonyms for resampling
- re-sampling
- re-samplings
Summary: resampling in Brief
The term 'resampling' [ˈriːsæmplɪŋ] refers to a statistical technique used to obtain new data points by randomly selecting and reusing existing data points, or the process of changing the resolution of a digital image or signal by adding or removing samples. It is commonly used in data analysis to create more accurate models, and bootstrapping and cross-validation are two common resampling techniques.
