The project is end-to-end: automated data ingestion via Azure Functions, a SQL Server feature store, exploratory analysis in Jupyter, machine learning forecasting with XGBoost, and an operational ...

Iowans may feel like the autumn season has been a warm one, but tempertures are finally starting to dip. The second to last week in October is seeing temperatures in the 60s to mid 50s during the day, ...

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In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

At first glance, forecasting behavior might seem far-fetched—can we really predict how people will act? It's a fair question. But just as we once questioned whether we could reliably predict the ...

Abstract: The optimal utilization of electrical energy is becoming increasingly necessary due to the rapid growth in the population. Several techniques have been designed to ensure judicious use of ...

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Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

Abstract: The modern world, dynamic planning and accurate forecasting for dynamic datasets are essential for the practice of financial management. Often models used in traditional problems are not ...

The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...