Aleatoric Uncertainty (Data Uncertainty): This is the inherent randomness or noise in the data itself.
It’s the uncertainty that cannot be reduced even with infinite data. For example, if you’re predicting a coin flip, even with perfect knowledge of the coin, there’s inherent randomness. Or, if your sensor measuring temperature has some inherent noise, that’s aleatoric.