Machine Learning, AI, Software Development, Data Science, Software Engineering.
Future RNNs are natural fits for time series analysis, where data points are ordered in time. They can be used for forecasting, predicting future values based on historical trends. This is valuable in finance, weather prediction, and even predicting equipment failures in industrial settings.