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.

How much of machine learning is computer science vs. statistics? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

I’ve always been excited about statistics and machine learning. In graduate school, my adviser, Michael Jordan [at the University of California, Berkeley], said something to the effect of ...

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 ...

Limitations of Machine Learning: Data Dependency : Machine learning models require vast amounts of high-quality data, which can be difficult and expensive to obtain. Poor or biased data leads to ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...