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 ...

An article titled Serious Gaming in Georgia Tech University's Spring 2010 Horizons magazine says researchers are using games to improve tools for statistical machine learning. According to the ...

The Yellowstone Caldera, spanning Wyoming, Idaho, and Montana, is among the most seismically active volcanic regions on Earth ...

A new method can now find previously unknown factors that underlie disease by using statistical machine learning to sort through mountains of complex biological data. This flagship method, called ...

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 ...

Traditional statistical machine learning algorithms (i.e. ones that do not use deep neural nets) have a more limited capacity to capture information about training data.

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.

For instance, during the coronavirus pandemic, many machine learning systems began to fail because they had been trained on statistical regularities instead of causal relations. As life patterns ...