IT owes its existence as a professional discipline to companies seeking to use data to gain a competitive edge. Today, organizations are awash in data, but the technology to process and analyze it ...

Machine learning projects are likely to fail if they aren't properly planned beforehand. In Chapter 2 of Managing Machine Learning Projects, author Simon Thompson explains the process of defining the ...

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...