Sequence Prediction
Sequence prediction involves using machine learning algorithms to predict the next element in a sequence based on patterns and trends identified in historical data. This technique is commonly used in a variety of applications such as natural language processing, financial forecasting, and weather prediction. By analyzing sequential data, models can be trained to make accurate predictions about future events or outcomes.