This course covers applied statistical methodologies pertaining to time series, with en emphasis on model building and accurate prediction. Completion of this course will provide students with enough ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.