Michael I. Jordan
American scientist / From Wikipedia, the free encyclopedia
Michael Irwin Jordan ForMemRS[6] (born February 25, 1956) is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.[7][8][9]
Michael Jordan | |
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Born | Michael Irwin Jordan (1956-02-25) February 25, 1956 (age 68) |
Alma mater | University of California, San Diego |
Known for | Latent Dirichlet allocation |
Awards |
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Scientific career | |
Institutions | University of California, Berkeley Inria University of California, San Diego Massachusetts Institute of Technology |
Thesis | The Learning of Representations for Sequential Performance (1985) |
Doctoral advisor | David Rumelhart Donald Norman |
Doctoral students | |
Other notable students | |
Website | www |
Jordan was elected a member of the National Academy of Engineering in 2010 for contributions to the foundations and applications of machine learning.
He is one of the leading figures in machine learning, and in 2016 Science reported him as the world's most influential computer scientist.[10][11][12][13][14][15]
In 2022, Jordan won the inaugural World Laureates Association Prize in Computer Science or Mathematics, "for fundamental contributions to the foundations of machine learning and its application."[16][17][18]