The sigmoid function is a mathematical function that produces an 'S'-shaped curve, commonly used in machine learning as an activation function to map predictions to probabilities between 0 and 1. It is particularly useful in logistic regression and neural networks for binary classification tasks due to its smooth gradient, which helps in gradient-based optimization methods.