Machine Learning 101 Part 2: Supervised Versus Unsupervised Learning
This is part two in a series of short videos to help you understand the basics of data science. This video focuses on the concepts of supervised and unsupervised learning. In supervised learning, you develop algorithms that predict outcomes based on independent variables and you use historical data to train your algorithms. Unsupervised learning models identify hidden patterns in your data and group records into clusters; they act on the dataset without human guidance.
