What Is a Loss Function? How Machine Learning Measures Error

Loss functions quantify the error between predicted and target values in machine learning, guiding algorithms to minimize this error during training. They are distinct from evaluation metrics, serving as an operational mechanism within the learning process. This article outlines a five-stage process illustrating how loss functions operate from prediction to model update.