Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

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 ...

Shakir Mohamed, a South African native and senior research director at Google DeepMind, is one of the most influential minds ...

H2O.ai: Best for building AI models and applications H2O.ai is a fully open source, distributed in-memory machine learning platform that supports widely used statistical & machine learning ...

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 ...

A Rochester Institute of Technology professor is teaming up with the Rochester Police Department (RPD) to use statistical machine learning to analyze body-worn camera footage and help improve police ...

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.

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Econometrics, statistics, and machine learning answer different sorts of questions. ML excels at finding patterns in data and using these patterns for classification and prediction.

brothers and sisters, and all watched over by machines of loving grace. Let us not fear AI systems and in 2020, let's be clear and call them machine learning systems -- because words matter.