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 ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Learners who wish to receive a certificate must register for the exam scheduled on April 17, 2026, which will be conducted in two sessions - 9:30 am to 12:30 pm and 2 pm to 5 pm ...

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly fortunetelling, but forecasting is a huge industry and service that much of our ...

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...