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Uncertainty in Data Science

September 24, 2018
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Learn about uncertainty in data science and how we, as humans, are not always good at thinking about uncertainty, which we need be to in such an uncertain world.

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About Allen Downey

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Allen Downey is a professor of Computer Science at Olin College and the author of a series of free, open-source textbooks related to software and data science, including Think Python, Think Bayes, and Think Complexity, which are also published by O’Reilly Media.  His blog, Probably Overthinking It, features articles on Bayesian probability and statistics.  He holds a Ph.D. in computer science from U.C. Berkeley, and M.S. and B.S. degrees from MIT.  He lives near Boston, MA with his wife and two daughters.

Photo of Hugo Bowne-Anderson
Meet our host
Hugo Bowne-Anderson

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.


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