> A model may never reduce any probability to zero. That's the entire point. You can't teach a model not to reduce probabilities to zero just by showing it mo

> A model may never reduce any probability to zero. That's the entire point. You can't teach a model not to reduce probabilities to zero just by showing it more data. There will always be more unseen data. And you, a human, know that there will always be more data. So you apply smoothing to the model so that your model isn't nonsense. I'm giving an example of a bias that you can't solve with data, that you must solve with design.