Maxent (Maximum Entropy)

Maximum Entropy, or Maxent, is a principle used in statistics and probability to make predictions based on limited information. It suggests that, when trying to determine the likelihood of different outcomes, we should choose the probabilities that are the least biased, given what we know. In simpler terms, it means distributing probability fairly among all possibilities while respecting any known constraints. This approach helps in fields like ecology, language processing, and machine learning, where we often have incomplete data and need to infer the most reasonable predictions without making unwarranted assumptions.