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He draws parallels to the emergence of chemical engineering in the early 1900s from foundations in chemistry and fluid mechanics, noting that machine learning builds on decades of progress in computer science, statistics, and control theory.
In 2016 he was ranked as the most influential computer scientist by a program that analyzed research publications, Science reported
Jordan is a professor in the department of electrical engineering and computer science, and the department of statistics, at the University of California, Berkeley