outlier or something like that so that's an example now we're gonna go into this sort of sub categories here of supervised and unsupervised so hopefully you have a general understanding of the difference here supervised we have labels unsupervised we don't and so the first example we're talking about is self supervised learning so we have an unlabeled data set but actually what people do in these self supervised learning is they actually turn an unsupervised they turn an unlabeled data set into a label data set by