"Inductive bias"bias refers to your suspicion that if the sun has risen for the last billion days in a row, then it may rise tomorrow as well. Since it is logically possible that the laws of physics will arbitrarily cease to work and that the sun will *not*not rise tomorrow, coming to this conclusion requires an inductively biased prior.
In"Inductive bias" refers to your suspicion that if the sun has risen for the last billion days in a row, then it may rise tomorrow as well. Since it is Bayesianlogically possible framework, inductivethat the laws of physics will arbitrarily cease to work and that the sun will *not* rise tomorrow, coming to this conclusion requires an inductively biased prior.
This sort of bias is encoded innot a bad thing - without "inductive bias" you can't draw any conclusion at all from the prior distribution.data. It's just a different technical meaning attached to the same word.
In Bayesian framework, inductive bias is encoded in the prior distribution.