Research Group Broderick Lab We work in the areas of statistics and machine learning. We are interested in Bayesian inference and graphical models, with an emphasis on scalable, nonparametric, and unsupervised learning. Related Links Website Contact Us tbroderick@csail.mit.edu Last updated Aug 12 '17 Research Areas Algorithms & Theory AI & ML Impact Areas Big Data Related Links Website Members Tamara Broderick News Algorithms & Theory AI & ML Big Data Energy May 17 '23 A better way to study ocean currents A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue. A better way to study ocean currents Algorithms & Theory Big Data January 27 '23 When should data scientists try a new technique? A new measure can help scientists decide which estimation method to use when modeling a particular data problem. When should data scientists try a new technique?
Algorithms & Theory AI & ML Big Data Energy May 17 '23 A better way to study ocean currents A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue. A better way to study ocean currents
Algorithms & Theory Big Data January 27 '23 When should data scientists try a new technique? A new measure can help scientists decide which estimation method to use when modeling a particular data problem. When should data scientists try a new technique?
