Jerome Harold Friedman (born December 29, 1939) is an American statistician, consultant and Professor of Statistics at
Stanford University, known for his contributions in the field of
statistics and
data mining.
[Jerome H. Friedman](_blank)
Professor of Statistics. Accessed 18 July 2017.
Biography
Friedman studied at
Chico State College
California State University, Chico, or commonly, Chico State, is a public university in Chico, California. Founded in 1887, it is the second oldest campus in the California State University system. As of the fall 2020 semester, the university had ...
for two years before transferring to the
University of California, Berkeley
The University of California, Berkeley (UC Berkeley, Berkeley, Cal, or California) is a public land-grant research university in Berkeley, California. Established in 1868 as the University of California, it is the state's first land-grant u ...
in 1959, where he received his AB in Physics in 1962, and his PhD in High Energy Particle Physics in 1967.
[Jerome H. Friedman](_blank)
Vita December 2012, at stat.stanford.edu. Accessed 18 July 2017.
In 1968 he started his academic career as research physicist at the
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory (LBNL), commonly referred to as the Berkeley Lab, is a United States national laboratory that is owned by, and conducts scientific research on behalf of, the United States Department of Energy. Located in ...
. In 1972 he started at Stanford University as leader of the Computation Research Group at the
Stanford Linear Accelerator Center
SLAC National Accelerator Laboratory, originally named the Stanford Linear Accelerator Center,
is a United States Department of Energy National Laboratories, United States Department of Energy National Laboratory operated by Stanford Univers ...
, where he would participate until 2003. In the year 1976–77 he was a visiting scientist at
CERN in Geneva. From 1981 to 1984 he was visiting professor at the University of California, Berkeley. In 1982 he was appointed Professor of Statistics at
Stanford University.
In 1984 he was elected as a
Fellow of the American Statistical Association
Like many other academic professional societies, the American Statistical Association (ASA) uses the title of Fellow of the American Statistical Association as its highest honorary grade of membership. The number of new fellows per year is limited ...
.
In 2002 he was awarded the SIGKDD Innovation Award by the
Association for Computing Machinery
The Association for Computing Machinery (ACM) is a US-based international learned society for computing. It was founded in 1947 and is the world's largest scientific and educational computing society. The ACM is a non-profit professional member ...
(ACM).
Dr. Jerome H. Friedman
awarded the SIGKDD Innovation Award, 2002. In 2010 he was elected as a member of the National Academy of Sciences (Applied mathematical sciences).
Publications
Friedman has authored and co-authored many publications in the field of data-mining including "nearest neighbor classification, logistical regressions, and high dimensional data analysis. His primary research interest is in the area of machine learning." A selection:
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See also
* Gradient boosting
Gradient boosting is a machine learning technique used in regression and classification tasks, among others. It gives a prediction model in the form of an ensemble of weak prediction models, which are typically decision trees. When a decision tr ...
* LogitBoost In machine learning and computational learning theory, LogitBoost is a boosting algorithm formulated by Jerome Friedman, Trevor Hastie, and Robert Tibshirani. The original paper casts the AdaBoost algorithm into a statistical framework. Specif ...
* Multivariate adaptive regression splines
In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric regression technique and can be seen as an extension of linear models that automatic ...
* Projection pursuit regression
In statistics, projection pursuit regression (PPR) is a statistical model developed by Jerome H. Friedman and Werner Stuetzle which is an extension of additive models. This model adapts the additive models in that it first projects the data matri ...
References
External links
Jerome H. Friedman
Professor of Statistics
*https://jerryfriedman.su.domains/ Homepage
{{DEFAULTSORT:Friedman, Jerome H.
1939 births
20th-century American mathematicians
21st-century American mathematicians
People associated with CERN
Living people
Machine learning researchers
Stanford University faculty
University of California, Berkeley alumni
Fellows of the American Statistical Association
People from Yreka, California
American statisticians
Data miners