Supervised vs Unsupervised: Machine learning concepts

The main difference between supervised and unsupervised learning: Labeled data. The main distinction between the two approaches is the use of labeled datasets. To put it simply, supervised learning uses labeled input and output data, while an unsupervised learning algorithm does not #supervisedlearning #machinelearning #datascience #dataanalytics #datascienceinterview Subscribe to @datadrivenbusinessinsights for more videos.