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William S. Cleveland, Recommending BestBooksauthor

Discover the Best Books Written by William S. Cleveland

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William Swain Cleveland II (born 1943) is an American computer scientist and Professor of Statistics and Professor of Computer Science at Purdue University, known for his work on data visualization, particularly on nonparametric regression and local regression.

Cleveland obtained his AB in Mathematics mid the 1960s from Princeton University, where he graduated under William Feller. For his Ph.D. studies in Statistics, he moved to Yale University, where he graduated in 1969 under Leonard Jimmie Savage.

After graduation, Cleveland started at Bell Labs, where he was a staff member of the Statistics Research Department and Department Head for 12 years. Eventually, he moved to Purdue University, where he became a Professor of Statistics and a Courtesy Professor of Computer Science. In 1982 he was elected as a Fellow of the American Statistical Association.

His research interests are in the fields of "data visualization, computer networking, machine learning, data mining, time series, statistical modeling, visual perception, environmental science, and seasonal adjustment." Cleveland is credited with defining and naming the field of data science, which he did in a 2001 publication.

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The Elements of Graphing Data

Bret Victor
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