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https://web.archive.org/web/20250427062117/http:/news.mit.edu/2019/nonprogrammers-data-science-0115

Democratizing data science

A new probabilistic programming language written at MIT can help people with no statistical background predict patterns in data, including financial trends, the spread of disease, and air travel patterns.



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Democratizing data science

https://web.archive.org/web/20250427062117/http:/news.mit.edu/2019/nonprogrammers-data-science-0115

A new probabilistic programming language written at MIT can help people with no statistical background predict patterns in data, including financial trends, the spread of disease, and air travel patterns.



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https://web.archive.org/web/20250427062117/http:/news.mit.edu/2019/nonprogrammers-data-science-0115

Democratizing data science

A new probabilistic programming language written at MIT can help people with no statistical background predict patterns in data, including financial trends, the spread of disease, and air travel patterns.

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      A new probabilistic programming language written at MIT can help people with no statistical background predict patterns in data, including financial trends, the spread of disease, and air travel patterns.
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      MIT, MIT research, MIT computer science and technology, Algorithms, software, probabilistic programming, Bayesian modeling, program synthesis, statistics, Probabilistic Computing Project, Computer Science and Artificial Intelligence Laboratory, CSAIL, MIT electrical engineering and computer science, EECS, MIT Department of Brain and Cognitive Sciences, BCS, MIT Engineering, MIT Science, Nate Silver, FiveThirtyEight, 538, Stats

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