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.

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

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

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

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

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 ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

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 ...

A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...