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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]
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]
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]
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]
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]
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]
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]
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]
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]
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