The K-Means Clustering Algorithm

The Data Skeptic Podcast, hosted by Kyle and Linda, dives into skepticism, critical thinking, and data science. In this episode, they discuss the K-means clustering algorithm and the difference between supervised and unsupervised learning. Supervised learning involves training a machine learning algorithm with labeled examples, while unsupervised learning requires the algorithm to classify or regress data without guidance. Tune in to learn more about these fascinating concepts!