Please login or sign up to post and edit reviews.
#41 Uncertainty in Data Science
Podcast |
DataFramed
Publisher |
DataCamp
Media Type |
audio
Categories Via RSS |
Business
Education
Technology
Publication Date |
Sep 24, 2018
Episode Duration |
00:58:38

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

FROM THE INTERVIEW Data Science Data Optimism Allen's Twitter List of cognitive biases are-we-so-surprised.html">Why are we so surprised? (Allen's Blog) Probably Overthinking It (Allen Downey's Blog) Think Stats (Allen's Book) is-only-one-test.html">There is only one test! (Allen's Blog)

FROM THE SEGMENT

Statistical Distributions and their Stories (with Justin Bois at ~27:00)

Justin's Website at Caltech Probability distributions and their stories LeBron James Field Goals

Original music and sounds by The Sticks.

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review