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 ...

I don't think it makes sense to partition machine learning into computer science and statistics. Computer scientists invented the name machine learning, and it's part of computer science, so in ...

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.

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 ...

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 ...

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.

Machine learning model could better measure baseball players' performance. ScienceDaily . Retrieved May 10, 2025 from www.sciencedaily.com / releases / 2022 / 04 / 220406101805.htm ...

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

Machine-learning model can reliably predict cognitive performance based on lifestyle indicators. ... "Standard statistical approaches cannot embrace this level of complexity all at once." ...