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.

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

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

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

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 ...

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

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

An overview of the AI Explainability Scorecard, a practical, five-part framework that helps teams quantify how well their ...

David Gerbing, Ph.D, from Portland State University, explores professional, interactive data visualization for everyone ...

Applications Open for the Media24 Technology Internship Programme. Why Join Media24 As South Africa’s largest media brand, we ...