Logistic regression is a tool used in data science and machine learning to predict binary outcomes. Applications range from ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression ...

A leading medical device company is being sued by a former engineer who alleges she was wrongfully terminated in 2024 for reporting her concerns about the gender discrimination and the authenticity of ...

Tenku, N. (2025) Trade Deficit and Economic Growth: Policy Advice to 15 European Union Countries. Modern Economy, 16, 114-134 ...

The economy and the markets are complex, and the only way to understand them is to consider more than a few metrics as you piece together the mosaic of crosscurrents that define them.

A powerful Python framework for writing and running portable regression tests and benchmarks for HPC systems.

Six-month outcomes of children and adolescents diagnosed with multisystem inflammatory syndrome in children (MIS-C) after ...

When Billy Beane, general manager of the Oakland Athletics from 1997-2015, started using data analytics to build a winning ...

One major contribution of this paper is to leverage an extended data-driven approach based on singular value decomposition (SVD) to realize strain field pre-regression. The combination of the ...