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Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.
His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [24] [25] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6). [26]
From 2004 to 2018, Roughgarden was a professor at the Computer Science department at Stanford University working on algorithms and game theory. Roughgarden teaches a four-part algorithms specialization on Coursera. [3] He received the Danny Lewin award at STOC 2002 for the best student paper.
Daphne Koller (Hebrew: דפנה קולר; born August 27, 1968) is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University [4] and a MacArthur Foundation fellowship recipient. [1]
Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University. [9] Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, [10] and 90,000 students had enrolled in the initial two classes as of March 2012.
[9] [10] In addition, according to a Stanford alumni survey conducted in 2011, some 39,900 companies founded by Stanford alumni were active, and companies founded by Stanford alumni altogether generated more than $2.7 trillion in annual revenue and had created 5.4 million jobs, roughly equivalent to the 10th-largest economy in the world (2011).
Robert Tibshirani FRS FRSC (born July 10, 1956) is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.
Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia. [1] He received his Ph.D. at Stanford University in 2003. [2] He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, [3] a 2013/14 Killam Teaching Prize, [4] and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer ...
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related to: coursera stanford statistics