👉 Dedifferentiating is a method used in statistics and machine learning to reduce the dimensionality of data by removing redundant features. It is often applied when dealing with large datasets, where it is difficult or inefficient to use all the features available. The process involves selecting a subset of the original features that are most relevant for the problem at hand, while ignoring any irrelevant information. This process is typically done through feature selection techniques such as mutual information (MI), entropy, and correlation analysis. Once the relevant
