Not So Standard Deviations

Not So Standard Deviations

By Roger Peng and Hilary ParkerNewsTechnologyTech News
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Not So Standard Deviations episodes

  • 50 - Existential Crisis Narrowly Averted

    Hilary and Roger revisit GANs and discuss what makes for a good data analysis.

    Show notes:

    NYT Article on software problem: http://www.nytimes.com/2002/06/05/us/data-revised-on-soot-in-air-and-deaths.html

    Callisto: https://www.projectcallisto.org/what-we-do

    Universal Paperclips: http://www.decisionproblem.com/paperclips/

    Workshop Cafe: http://www.workshopcafe.com/

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr 11 min
  • 49 - Baltimore is the Home of Cloud Computing

    Hilary and Roger discuss when to hire a data scientist, the Kaggle State of Data Science and Machine Learning Survey, and the lack of tools for tracking changes to data.

    Show notes:

    Stickers at Sonos: https://twitter.com/jahilliar/status/926153450857082880

    John Carmack on git: https://twitter.com/id_aa_carmack/status/929389759624916992

    Linear Digressions episode on “Data Lineage”: http://lineardigressions.com/episodes/2017/9/3/data-lineage

    Kaggle State of Data Science Survey: https://www.kaggle.com/surveys/2017

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr 12 min
  • 48 - Peak Salesperson Mode

    Roger went to the rOpenSci Oz Unconference and Hilary led a design sprint. 

    Show notes:

    rOpenSci OzUnconf 2017: http://ozunconf17.ropensci.org

    Summary of OzUnconf by Nick Tierney: https://ropensci.org/blog/2017/10/31/ozunconf2017/

    How do you convince people to use R? https://simplystatistics.org/2017/10/30/how-do-you-convince-others-to-use-r/

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr
  • 47 - This is Episode 47

    Hilary and Roger discuss listener names, facial recognition, coding boot camps, wildfires in California, edge computing, and AR measuring apps. Plus, more on stickers!

    Show notes:

    Biometric Menagerie: https://www.ncbi.nlm.nih.gov/pubmed/20075454

    Coding boot camps closing down: https://mobile.nytimes.com/2017/08/24/technology/coding-boot-camps-close.html?_r=0&referer=https://t.co/oGIlQwOjrH?amp=1

    Sudoku Solver: https://blog.prototypr.io/behind-the-magic-how-we-built-the-arkit-sudoku-solver-e586e5b685b0

    Beijing Air Twitter Account: https://twitter.com/beijingair

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr 10 min
  • 46 - Uncanny Valley of Stickerness

    Hilary and Roger continue their late night contemplations about stickers, collecting new data for training machine learning algorithms, and paying for open (and closed) source software.

    Show notes:

    Sticker madness: https://twitter.com/hspter/status/908102841323188225

    Sticker on phone: https://twitter.com/hspter/status/908279790859378689

    Apple trains Face ID with separate study of faces (Tech Crunch): https://techcrunch.com/2017/09/15/interview-apples-craig-federighi-answers-some-burning-questions-about-face-id/

    Open source business models: https://twitter.com/zedshaw/status/906286839044210689

    LICKI brush https://www.kickstarter.com/projects/1046165765/licki-brush-lick-your-cat

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr 12 min
  • 45 - Analogy Corner After Dark

    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: https://twitter.com/ChelseaParlett/status/902581025175429120

    Tyranny of Structurelessness: http://www.jofreeman.com/joreen/tyranny.htm

    Data Alone Isn’t Ground Truth (by Angela Bassa): https://medium.com/@angebassa/data-alone-isnt-ground-truth-9e733079dfd4

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    1 hr 5 min
  • 44 - She Won the Battle

    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: https://antsle.com/product/

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

     

    56 min
  • 28 - Writing is a Lot Harder Than Just Talking

    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: https://en.wikipedia.org/wiki/Bradford_Hill_criteria

    O’Reilly Bots Podcast: https://www.oreilly.com/topics/oreilly-bots-podcast

    NHTSA’s Federal Automated Vehicles Policy: http://www.nhtsa.gov/nhtsa/av/index.html

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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: http://nssdeviations.com

    Contact us at [email protected]

    1 hr 1 min
  • 43 - Analogy Corner

    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: https://twitter.com/i/moments/887307963173658624

    Stripe slide deck on explainable AI: https://docs.google.com/presentation/d/1rZHPDqDFEOcEQhqm3lTKD7Cf5XGvj4iB04W8KA4ar5w/mobilepresent?slide=id.g221bed7464_0_0

    Roger's tweet storm on teaching R: https://twitter.com/rdpeng/status/882767951614627840

    Support us through our Patreon page: https://www.patreon.com/NSSDeviations

    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 Apple Podcasts: 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

    Contact us at [email protected]

    1 hr 9 min
  • Episode 42 - One Piece PJs
    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 article about Google's Site Reliability Engineering: https://www.wired.com/2016/04/google-ensures-services-almost-never-go/?mbid=nl_4616 Support us through our Patreon page: https://www.patreon.com/NSSDeviations 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 Apple Podcasts: 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 Contact us at [email protected]
    1 hr 3 min

About Not So Standard Deviations

From the publisher's feed

Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry.

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