Application of untrained machine learning analysis of multivariate sediment provenance data to critical metals exploration
Drs. Joel E. Saylor (EOAS) and Michael Friedlander (Computer Science) have been awarded the DSI Postdoctoral Matching Fund for their project "Application of untrained machine learning analysis of multivariate sediment provenance data to critical metals exploration".
Summary
Joel E. Saylor
Associate Professor, Earth, Ocean and Atmospheric Sciences