Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...

Abstract: In recent years, unsupervised linear regression has attracted attention for its ability to directly capture the mapping relationship between samples and targets. However, existing algorithms ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Trump fired the Bureau of Labor Statistics head. In Argentina, the government manipulated the inflation rate. Economists went rogue to calculate the real rate, and people lost trust in the numbers.

A data breach of the Tea app recently exposed users' selfies, IDs, and private messages. The breach shows the risk of giving out your sensitive information to new apps. Cybersecurity experts say ...

Litchfield stated, "We currently expect revenue in the third quarter of 2025 to be between $115 million and $135 million." He added, "We expect third quarter GAAP gross margin to be approximately 55% ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...