Math.e is crucial in algorithms for exponential decay and growth, used in modeling radioactive decay and population dynamics. Functions like radioactive_decay and logistic_growth utilize e for accurate simulations. Additionally, machine learning algorithms feature e in activation functions such as sigmoid and softmax, essential for classification tasks and probability distributions.