Reservoir sampling - how to sample when you don’t know the size of the set?

The article on reservoir sampling explains this technique, which is used in data analysis and statistics for randomly selecting a subset of elements from a larger population. The author clearly presents what this method entails and its applications. With reservoir sampling, it is possible to effectively and efficiently pick samples even from infinite data streams, making the analysis of large datasets much easier. Several examples illustrating how this technique can be employed in practice are also included in the article. Finally, the author highlights the applications of reservoir sampling across various fields, such as science, engineering, and economics.