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 ...

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 ...

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

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

This new mathematical formula, the maximum agreement linear predictor or MALP, could help cutting-edge scientists reach even further.

I n the rapidly evolving field of Data Science, technical skills such as programming, statistics, and machine learning are ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

The institutions winning today aren't winning because they have smarter traders or better customer service. They're winning because they've solved a fundamental architecture problem: how to turn ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

As network planning progressed, Rademeyer and Fibertime co-founder Alan Knott-Craig Jnr debated the possibility of large ...

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 ...