Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

This book, “Statistical Modeling and Computation,” provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of ...

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

The analysis of categorical data underpins inquiries across disciplines ranging from social sciences to genomics. At its core, categorical data analysis seeks to model relationships between variables ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

New AI breakthrough: A University of Oregon team created an AI model that interprets DNA like text, tracing genes to their last common ancestor within minutes. Matches top accuracy: The tool performs ...