|Born||January 27, 1928|
New York City, United States
|Died||July 5, 2005 (aged 77)|
Berkeley, California, United States
|Alma mater||University of California, Berkeley|
|Known for||CART, Bagging, Random forest|
|Institutions||University of California, Berkeley|
|Thesis||Homogeneous Processes (1954)|
|Doctoral advisor||Michel Loève|
|Doctoral students||Adele Cutler|
Leo Breiman (January 27, 1928 – July 5, 2005) was a distinguished 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.
- 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.
- 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)