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.

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

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

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

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

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

Maitri Mangal said she took AI courses daily and still spends hours every week learning about new AI-related material.

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

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Discover how Ramkinker Singh's innovative dynamic scaling system revolutionises cloud security by intelligently managing ...