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Written by torontoai on . Posted in Reddit MachineLearning.
Considering the definition: “We say an environment is uncertain if it is not fully observable or not deterministic.”
When making predictions, Probability theory is a really useful tool under uncertainty. I was wondering if there are other ways to make predictions without necessarily using Probability theory but in a way, you take uncertainty into account.
submitted by /u/ugurbolat
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