What is the difference between labeled and unlabeled data?

Question

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

Answer 1

Labeled data is a group of samples that have been tagged with one or more labels. Labeling typically takes a set of unlabeled data and augments each piece of that unlabeled data with meaningful tags that are informative. For example, labels might indicate whether a photo contains a horse or a cow, which words were uttered in an audio recording, what type of action is being performed in a video, what the topic of a news article is, what the overall sentiment of a tweet is, whether the dot in an x-ray is a tumor, etc.