A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Financial forecasting is the act of estimating future financial outcomes for a business or an investment. It is a critical process in financial planning and decision-making. It employs statistical ...

Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...