AI, Supervised Learning, Machine Learning.
input, and the label would specify the person’s identity. This labeled dataset serves as the foundation for the algorithm to learn and generalize patterns. A supervised learning algorithm also needs a model, which is a mathematical representation capable of mapping input features to output labels.