Unsupervised Learning

Welcome to the unsupervised learning chapter! So far, the course has focused on supervised learning, and you should have a fairly solid understanding of training models using labeled data. This chapter focuses on two algorithms:

• k-Means for clustering image pixels based on their color.
• PCA for reducing the dimensionality of frontal portrait images

This short but effective chapter should give you a good understanding of how unsupervised learning algorithms differ from supervised learning algorithms and how they could be used in production.