Dataset Shift

Dataset shift is like moving a restaurant to a new location - the menu stays the same, but the customers and their preferences change. In AI, it refers to the change in data distribution between training and testing, which can affect the model's performance. For example, a model trained on images of cars taken during the day may not perform well on images taken at night. This shift can happen due to changes in the environment, population, or other factors, and it's essential to consider it when training and deploying AI models.