CS205: Building with Artificial Intelligence

Unlabelled data is used when decision-makers don't know exactly what they are looking for. Most data is unlabelled – no one knows what is valuable and what is not. Rather, when one has unlabelled data, the objective is usually to simply discern patterns or structures through statistical analysis. You will further learn how unsupervised learning algorithms can help with unlabelled data – organizing the data into "clusters" that share common statistical properties.