An excerpt from “A Conversation with Leo Breiman”
Leo Breiman (1928-2005) was one of the most dominant statisticians from the 20th century. He was well known for his textbook in probability theory as well as his contributions to the machine learning, such as CART (Classification and Regression Tree), bagging (bootstrap aggregation), and Random Forest. He was the founding father of statistical machine learning. His works can be found from http://www.stat.berkeley.edu/~breiman/
An excerpt from “A Conversation with Leo Breiman,” from Statistical Science, by Richard Olshen (2001), 16(2), pp. 184тАУ198, casts a second thought on the direction of statistical researches:
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