Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are ...

Meanwhile, machine learning methods, despite their flexibility and ability to handle complex and unstructured data, have not consistently demonstrated superior performance over traditional models ...

Sports coaches have always made decisions based on experience, observation and intuition. But they are increasingly relying ...

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

For its study, the research team set out to determine if a machine-learning statistical model could use health characteristics stored in electronic health records -- providing patient data such as ...

Penn State. "Machine learning model could better measure baseball players' performance." ScienceDaily. ScienceDaily, 6 April 2022. <www.sciencedaily.com / releases / 2022 / 04 / 220406101805.htm>.

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.

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.