DLR

DLR, or Deep Learning Regression, is a machine learning method that uses neural networks to predict continuous outcomes, like prices or temperatures. It learns patterns from large amounts of data to make accurate forecasts. Unlike traditional methods that rely on predefined formulas, DLR automatically finds complex relationships within data. This approach is especially useful when relationships are too complicated for simpler models. By training on examples, DLR can generalize and provide predictions for new, unseen data, making it a powerful tool for tasks like demand forecasting, financial analysis, and scientific research.