• Source: Leo Breiman

      • Leo Breiman (January 27, 1928 – July 5, 2005) was a statistician at the University of California, Berkeley. He was the recipient of numerous honors and awards, and was a member of the United States National Academy of 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. Bootstrap aggregation was given the name bagging by Breiman. Another of Breiman's ensemble approaches is the random forest.


      See also


      Shannon–McMillan–Breiman theorem


      Further reading


      Leo Breiman obituary, from the University of California, Berkeley
      Richard Olshen "A Conversation with Leo Breiman," Statistical Science Volume 16, Issue 2, 2001
      Breiman, L. (2001). "Statistical Modeling: the Two Cultures". Statistical Science. 16 (3): 199–215. doi:10.1214/ss/1009213725. JSTOR 2676681.
      Random Forests


      External links


      Leo Breiman at the Mathematics Genealogy Project
      Leo Breiman from PORTRAITS OF STATISTICIANS
      A video record of a Leo Breiman's lecture about one of his machine learning techniques
      Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

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