Not So Standard Deviations

We retired this podcast, because we couldn't parse it for 10 consecutive times.

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Website: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna
Description: 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.
Language: 🇬🇧 English
last modified: 2017-12-02 21:35
last episode published: 2018-03-01 05:44
publication frequency: 15.73 days
Contributors: Roger Peng; Owner; Roger Peng and Hilary Parker; Author; rdpeng@gmail.com (rdpeng@gmail.com); Managing editor
Explicit: false
Number of Episodes: 58
Rss-Feeds: Detail page
Categories: Technology

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Episodes

Date	Title & Description	Contributors
2018-03-01	55 - Biggest Change to R Since R Hilary and Roger discuss limiting the number of loaded R packages, more Microsoft, whether A/B testing is dead, and transcendental meditation. Show notes: Follow up on number of DLLs allowed: https://stackoverflow.com/questions/36974206/error-maximal-...
2018-02-11	54 - Soft Spot for Microsoft Hilary and Roger follow up on his talk at WEHI and the discussion on intelligence analysts. They also discuss Microsoft's R-related tools, movie spoilers, and other miscellaneous topics. Show notes: Design sprint Episode 48: http://nssdeviations.com/48...
2018-01-29	53 - Shaken, Not Stirred Hilary and Roger discuss the connection between intelligence analysts and data scientists, and Hilary helps Roger prepare for an upcoming talk. Show notes: Engineers Shouldn’t Write ETL - https://multithreaded.stitchfix.com/blog/2016/03/16/engineers-s...
2018-01-12	52 - Expense Reporting Masterpiece Hilary and Roger welcome the new year by discussing Excel (again), why talking to people who generate data matters, meditation and neuroscience, and trust vs. quality in data analysis. Show notes: Python in Excel: https://excel.uservoice.com/forums/30...
2017-12-15	51 - A Beehive of Excel Devotees An end-of-year episode chock full of topics! Roger and Hilary discuss using Excel, detecting serial killers, counting hurricane-related deaths, and whether it's possible to evaluate a data analysis without knowing who the author is. If you are a Spoti...
2017-12-04	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...
2017-11-22	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/92615345085708...
2017-11-08	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 p...
2017-10-20	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...
2017-10-06	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/908...