Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Researchers analyzed 11 million posts to find that while political bias varies by site, the preference for low-quality news ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

A new study shows that grip strength cannot be used as a proxy for core muscle endurance in axial spondyloarthritis, ...

Eyes with meibomian gland dysfunction are more likely to have increased tears and lower tear film stability, possible signs ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed photosynthetically ...

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