DataFramed

#41 Uncertainty in Data Science

September 24, 2018 Season 1 Episode 41
DataFramed
#41 Uncertainty in Data Science
Chapters
DataFramed
#41 Uncertainty in Data Science
Sep 24, 2018 Season 1 Episode 41
DataCamp
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.
Show Notes
Hugo speaks with Allen Downey about uncertainty in data science. Allen 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. Allen and Hugo speak 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. Should we have been surprised at the outcome of the 2016 election? What approaches can we, as a data reporting community, take to communicate around uncertainty better in the future? From election forecasting to health and safety, thinking about uncertainty and using data & data-oriented tools to communicate around uncertainty are essential.

Links from the show

×

Listen to this podcast on