What context can I use each word in?
Learn when and how to use these words with these examples!
subsampling
Example
We subsampled the dataset to improve the efficiency of our model. [subsampling: verb]
Example
The subsampling technique helped us reduce the dimensionality of the data. [subsampling: noun]
sampling
Example
We conducted a random sampling of the population to gather data for our study. [sampling: noun]
Example
The survey results were based on a sample of 500 participants. [sampling: adjective]
Good things to know
Which word is more common?
Sampling is a more common term than subsampling in everyday language, as it is used in various fields such as statistics, market research, and social sciences. Subsampling, on the other hand, is a more technical term used mainly in data science and machine learning.
Whatโs the difference in the tone of formality between subsampling and sampling?
Sampling is a more formal term than subsampling, as it is used in academic research and statistical analysis. Subsampling is a more technical term used mainly in data science and machine learning, and is therefore more commonly used in technical or specialized contexts.
