Understanding Common Loss Functions Across Machine Learning Models
This article explains the purpose of loss functions in machine learning and reviews the specific loss functions used by popular algorithms such as linear regression (MSE), logistic regression (cross‑entropy), decision trees, random forests, SVM (hinge loss), neural networks, and AdaBoost (exponential loss).