Randomized weighted majority algorithm

The Randomized Weighted Majority (RWM) algorithm is a machine learning algorithm used for online learning and prediction, especially in scenarios where a model needs to adapt quickly to changing data streams. It is particularly useful for problems where you have multiple predictors (or experts) and want to combine their predictions in an efficient manner. ### Key Features of the Randomized Weighted Majority Algorithm 1.