Do renewables always make power cheaper? In the UK, it depends on how much is on the system. Using causal machine learning on ...

Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Setodji CM, McCaffrey DF, Burgette LF, Almirall D, Griffin BA. The right tool for the job: Choosing between covariate balancing and generalized boosted model propensity scores. Epidemiology. 2017.

Chongzhi Di develops statistical learning methods for analyzing complex, high-dimensional, and real-time data in biomedical and behavioral research. His work focuses on wearable devices, accelerometry ...

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are ...

*It'll be a lot less handwavey now. This isn't exactly hot news, but I like the specialized industry jargon here. *It's a press release. 6/24/19: New Machine Learning Inference Benchmarks Assess ...

The main goal of the Department of Data Analysis and Intelligence is to generate knowledge from data and develop a deeper understanding of complex datasets and the associated processes. We develop ...