Leo Breiman

 ( 1928 Births ) 

Leo Breiman (January 27, 1928 – July 5, 2005) was an American statistician at the University of California, Berkeley and 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.

• Shannon–McMillan–Breiman theorem

• Leo Breiman obituary, from the University of California, Berkeley
• Richard A. Olshen " A Conversation with Leo Breiman," Statistical Science Volume 16, Issue 2, 2001

• Leo Breiman from PORTRAITS OF STATISTICIANS
• A video record of a Leo Breiman's lecture about one of his machine learning techniques