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Not So Standard Deviations

Aug 31, 2017

Hilary and Roger have a late-night discussion about JupyterCon, data analysis and decisions, and other deeper topics.

Show Notes:

JupyterCon: https://conferences.oreilly.com/jupyter/jup-ny

Financial stability monitor: https://www.financialresearch.gov/financial-stability-monitor/

Catistician:


Aug 21, 2017

Hilary and Roger continue the discussion about whether good data analysis can lead to bad outcomes, talk about private cloud servers, and discuss whether data represent ground truth.

Show Notes:

Movies on tape: https://twitter.com/ngedrich/status/888142458944593920

Private cloud server: 


Aug 3, 2017

Hilary and Roger talk about building data science products that provide a good user experience while adhering to some kind of ground truth, whether it’s in medicine, education, news, or elsewhere. Also Gilmore Girls.

Show Notes:

HIll’s criteria for causation:


Jul 20, 2017

Hilary and Roger talk about teaching R in the era of the tidyverse, joyplots, follow up on explainable AI, writing versus data analysis, and Google Music playlists. They also take some reader questions and Hilary has an amazing app idea. Lastly, Roger has a special announcement.

Show Notes:

Joyplots:


Jul 6, 2017

Hilary and Roger discuss the paradigm-shifting Echo Show, whether we need explainable AI or not, and how lessons from DevOps could be useful in analysis development. Show notes: Peter Norvig on explainable AI: https://www.computerworld.com.au/article/621059/google-research-chief-questions-value-explainable-ai/ Wired...