Not So Standard Deviations

Episode 32 - You Have to Reinvent the Wheel a Few Times


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Hilary and Roger discuss training in PhD programs, estimating the variance vs. the standard deviation, the bias variance tradeoff, and explainable machine learning. Show notes: Support us through our Patreon page: https://www.patreon.com/NSSDeviations Explainable AI: http://www.darpa.mil/program/explainable-artificial-intelligence Stitch Fix Blog NBA Rankings: http://multithreaded.stitchfix.com/blog/2016/11/22/nba-rankings/ David Robinson’s Empirical Bayes book: http://varianceexplained.org/r/empirical-bayes-book/ War on the Rocks podcast: https://warontherocks.com/2017/01/introducing-bombshell-the-explosive-first-episode/ Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on iTunes: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: https://soundcloud.com/nssd-podcast
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Not So Standard DeviationsBy Roger Peng and Hilary Parker

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