Question

What are the differences between supervised and unsupervised learning?

Answer 1

Supervised Learning	Unsupervised Learning
Uses known and labeled data as input Supervised learning has a feedback mechanism  The most commonly used supervised learning algorithms are decision trees, logistic regression, and support vector machine	Uses unlabeled data as input Unsupervised learning has no feedback mechanism  The most commonly used unsupervised learning algorithms are k-means clustering, hierarchical clustering, and apriori algorithm