Maximum entropy principle

The Maximum Entropy Principle is a concept used in various sciences, including physics and information theory. It states that when trying to predict an uncertain outcome, we should choose the model that has the highest randomness or entropy, given what we know. This approach ensures that we make the fewest assumptions and only incorporate known information. It helps create the most unbiased predictions while still respecting constraints or conditions we are aware of. Essentially, it helps us avoid drawing conclusions that are not supported by available data.