Subsampling: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Definition== Subsampling, also known as '''downsampling''', is a technique used in machine learning and statistics to reduce the size of a dataset by selecting a smaller representative subset of the data. This process is applied to decrease the computational complexity and memory requirements of machine learning algorithms, while maintaining the quality of the obtained results. Subsampling is especially useful when dealing wi..."