Joseph Bradley, Software Engineer at Databricks

Joseph Bradley

Software Engineer, Databricks

Joseph Bradley is a Spark Committer working on MLlib at Databricks. Previously, he was a postdoc at UC Berkeley after receiving his Ph.D. in Machine Learning from Carnegie Mellon U. in 2013. His research included probabilistic graphical models, parallel sparse regression, and aggregation mechanisms for peer grading in MOOCs.


Apache Spark MLlib's Past Trajectory and New Directions

This talk discusses the trajectory of MLlib, the Machine Learning (ML) library for Apache Spark. We will review the history of the project, including major trends and efforts leading up to today. These discussions will… Read more