Machine learning in seismology leverages data-driven algorithms to enhance the detection, classification, and prediction of seismic events, offering improved accuracy and efficiency over traditional methods. This approach enables rapid analysis of vast datasets, facilitating better earthquake forecasting and risk assessment.