Machine learning, when "computers apply statistical learning techniques to automatically identify patterns in data," is becoming a bigger part of the everyday life of most Americans in ways that are both embraced and debated. For example, websites like Facebook use machine learning for facial recognition, while banks use machine learning to monitor credit card fraud. Still, it can be difficult to grasp exactly how this component of artificial intelligence actually works. This interactive website, authored by Stephanie Yee and Tony Chu, uses R2D3 - a data visualization tool created by Yee and Chu themselves - to help the general public better understand machine learning. Using vivid visualizizations and a concrete example (How would a machine determine if a home was in New York City or San Francisco?), this resource clearly explains the key vocabulary and concepts behind machine learning in an accessible, engaging way.