Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...

At Fred Hutch, we understand the critical role data science plays in advancing cancer research and developing new ... as well as biologists who want to learn computational methods. The Fred Hutch is ...

Applied Analytics alumnus Cristian Leo speaks on the value of the program’s new Emerging Technologies Analytics concentration ...

The new research, published in the Journal of Machine Learning Research, takes an innovative “axiomatic approach” to defining ...

He is a strong advocate for a comprehensive approach to statistical machine learning and data science, emphasizing a balance of applications, computation, methodology, and theory (ACMT) in his ...

The Penn State Institute for Computational and Data Sciences (ICDS) Junior Researcher Collaborations Funding Opportunity is ...

Rethinking the Path to Bladder Cancer Staging: Can Magnetic Resonance Imaging Speed Up Time to Receipt of Therapy in Patients With Muscle-Invasive Bladder Cancer? The following represents disclosure ...

By applying methods learned in the class to real data ... In Capstones 1 and 2, students will complete a significant data science research project that requires executing learned skills in problem ...

This means that you can focus on the development of new models and methods in data science, supported by the data science research carried out at the University of Helsinki; or you can become a data ...

Innovations in the methods for analyzing, visualizing ... Michigan Tech faculty and students are engaged in cutting-edge data science research. And while the data science master's degree program is ...