What if you have a mountain of data but no "answer key"? This is the challenge of unsupervised learning. In this episode, we move beyond the labeled world of supervised learning to explore how algorithms discover hidden structures all on their own. We will deconstruct the two primary tasks: clustering, which groups similar data points, and dimensionality reduction, which simplifies complexity by finding the data's true essence.
