In my personal going-on-a-podcast debut, I chatted with Hugo Bowne-Anderson for the DataCamp podcast, DataFramed. Hugo must be an amazing editor, because it even makes sense!
The episode, Data Nerdism at Large (with Mara Averick), is up on their site, along with links to some of the topics that came up. Since Hugo’s good at this stuff, I’ll just steal his blurb:
Mara Averick, self-labelled data nerd and Tidyverse developer advocate at RStudio, speaks with Hugo about all things data: what it means to be a data nerd and how data science impacts all of our lives from thinking about toxicology to sports analytics to data for social good and civic tech.
Hard-hitting, super important mentions include:
- The 1976 Disney classic, Donald in Mathemagic Land;
- Some great data-science-for-social-good organizations, such as DrivenData: Data science competitions to save the world, and Data Analysts for Social Good;
- The prediction- and classifier-explaining package LIME (short for Local Interpretable Model-agnostic Explanations1, which, thanks to Thomas Lin Pedersen, also has an R-package implementation); and
- Tamara Munzer’s excellent book, Visualization Analysis and Design.2
There are probably others, but I’m pretty sure Hugo’s got them covered!
Ribiero, Marco Tulio, Sameer Singh, and Carlos Guestrin. 2016. “Why Should I Trust You? Explaining the Predictions of Any Classifier.” In KDD ’16. doi:http://dx.doi.org/10.1145/2939672.2939778.↩
Munzner, Tamara. Visualization Analysis and Design. A K Peters Visualization Series, CRC Press, 2014.↩