Not So Standard Deviations
About This Show
Not So Standard Deviations: The Data Science Podcast
Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.
Co-hosts: Roger Peng of the Johns Hopkins Bloomberg School of Public Health and Hilary Parker of Stitch Fix.
Most Recent Episode
Episode 34 - F Dist
Hilary and Roger discuss Stitch Fix’s massive Algorithms Tour, reproducibility from a physical scientist perspective, and interpretability in machine learning.
F this: http://sgsa.stat.ucla.edu/f-this/
Interpretability is the new reproducibility: http://simplystatistics.org/2017/03/08/when-do-we-need-interpretability/
NSF Workshop on Systematic Approach to Robustness, Reliability, and Reproducibility in Scientific Research: http://www.mrsec.harvard.edu/2017NSFReliability/index.html
Roger on Twitter: https://twitter.com/rdpeng
Hilary on Twitter: https://twitter.com/hspter
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Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/
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