Kyle and Georgia discuss the use of quantile forecasting in data science and machine learning. They explore the benefits of using quantile regression neural networks and the importance of providing probabilistic forecasts. Discover how this technique can provide a more robust description of the environment and improve the accuracy of predictions.
