In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...