Classification vs Regression: Predicting Categories vs Numbers

In the previous post, we explored the distinction between supervised and unsupervised learning. Today, we’re exploring fundamental mental models for machine learning: understanding classification and regression. Classification and regression in machine learning form the foundation of how supervised learning algorithms make predictions. Understanding when to apply each method is key to developing effective models that […]

Supervised vs Unsupervised Learning: The Two Main Ways Machines “Learn”

Remember learning to ride a bike? Some of us had a parent running alongside, holding the seat and shouting guidance: “Pedal faster! Look ahead! Balance!” Others might have figured it out through trial and error – falling, getting back up, and gradually finding that magic balance point with no one giving instructions. These two approaches […]