Podcast
Episode 41

Uncertainty in Data Science (with Allen Downey)

September 24th, 2018
dataframed
+4

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.

About Allen Downey

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.

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