Probabilistic interpretation refers to understanding and analyzing data, models, or phenomena through the lens of probability, allowing for uncertainty and variability in predictions and conclusions. This approach is fundamental in fields like statistics and machine learning, where it provides a framework for making inferences and decisions under uncertainty.