In this video from Sebastian Thrum he says that supervised learning works with \"labeled\" data and unsupervised learning works with \"unlabeled\" data. What does he mean by thi
We can say that labeled is that data which is well defined. Eg. Emails, IP addresses,etc. Whereas unlabeled data is something which is not properly defined. Eg. Nature patterns, migration patterns of birds, etc. Unlabeled data alone does makes any sense but labeled data alone can be understood.