Supervised vs. Unsupervised Learning: What’s the Difference?
Introduction Understanding supervised vs unsupervised learning begins with a simple question: does the training data include known correct answers? The answer helps determine whether a machine-learning method learns to predict a specified value or category, or searches for patterns and groupings without predefined answers. This distinction matters because the two approaches serve different goals. Supervised … 더 읽기