👉 Concentration math, also known as information concentration, is a field in mathematics that studies how much of the information in a dataset or system can be reliably extracted or inferred from a subset of that data. It focuses on understanding the limits and methods to accurately summarize large datasets using smaller samples or subsets. This involves concepts like entropy, mutual information, and concentration inequalities, which help quantify how much uncertainty or variability remains in the data after sampling. The goal is to ensure that the information captured from the subset is representative and sufficient for making accurate predictions or decisions about the whole dataset.
