The undergraduate program is designed for students who have a strong interest in data analysis and its application across disciplines. Statistics and machine learning — the academic disciplines ...

A critical distinction between machines and humans is the way in which we reason about the world: humans through high order semantic abstractions and machines through blind adherence to statistics.

In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense ...

Researchers need ways to sort the relevant factors from the irrelevant to make statistical analysis possible. Lafferty also studies semi-supervised learning, a machine-learning technique where a human ...

Members of the Institute for Statistical Science within the School of Mathematics have three papers accepted at the NeurIPS conference.

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but RIT professor Ernest Fokoué argues that applying it correctly requires equal parts science and art.