Leo Breiman
Leo Breiman was an American statistician at the University of California, Berkeley. He was elected a member of the National Academy of Sciences and the American Academy of Arts and Sciences.
Breiman's work helped to bridge the gap between statistics and computer science, particularly in the field of machine learning. His most important contributions were his work on classification and regression trees, and ensembles of trees fit to bootstrap samples. Breiman coined the term bagging for the process of bootstrap aggregation. Breiman's paper on the random forest is one of the top 10 most-cited papers in machine learning.
Breiman's work helped to bridge the gap between statistics and computer science, particularly in the field of machine learning. His most important contributions were his work on classification and regression trees, and ensembles of trees fit to bootstrap samples. Breiman coined the term bagging for the process of bootstrap aggregation. Breiman's paper on the random forest is one of the top 10 most-cited papers in machine learning.
