Stephen Bailey

@stkbailey

Data scientist at by day. Asleep by night.

Columbus, OH
Vrijeme pridruživanja: srpanj 2009.

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  1. 13. stu 2019.

    Really great chat on data governance today! You can check out the webinar on Bright Talk's website below.

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    30. ruj 2019.

    I like regex because I get the opportunity to re-learn how to write it every single time the opportunity presents itself. Because I never remember how regex works. Ever.

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    18. svi 2019.

    The Infinite Trolley

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    9. svi 2019.

    The greatest value a strong data science team brings to an organization is asking the right questions to figure out: a) whether what’s answerable is even valuable, and b) whether what’s unknown is even answerable.

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  5. 21. ožu 2019.

    Great crowd at the Columbus Data Science Meetup last night! broke some brains with that differential privacy mathematics. Slides are available here:

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    19. ožu 2019.

    Join the best & brightest of Columbus' data science scene tomorrow p.m. for "The Data Scientist's Guide to Preserving Privacy" talk to be given by 's & . Only 5 spots left, save your seat now!

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    9. ožu 2019.

    Finally reworked my website and got my first blog post out the door! In this post I highlight some ethical issues in the world of machine learning, provide some resources, and offer up a few ways I think the field can be ethically improved.

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  8. 2. ožu 2019.

    Worth noting that this still does not improve my disjointed, manic approach to analysis 🤷🏽‍♂️

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  9. 2. ožu 2019.

    Finally found the answer to using Git with Jupyter notebooks: VS Code's Jupyter extension. Build cells with markdown, print output in a separate terminal. Still interactive but also readable in plain-text. VS Code is seriously changing my life.

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  10. 25. velj 2019.

    Outstanding panel on the GPT-2 controversy. Best point IMO came from who stressed how dangerous even one group withholding models can be to the spirit of openness in our community — when fear starts to take hold, people will default to only internal channels.

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  11. 21. velj 2019.

    A few of my favorite (suggested) ethical principles: - Accept that data science can harm people - Do not hoard data: collect minimally & share wisely - Make record linkage hard - Employ a "decay by design" approach - Aim for transparency and audibility

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  12. 21. velj 2019.

    Outstanding session on building your ethical imagination for data science by at . Extremely engaged audience. I love it when great educators present at conferences.

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  13. 18. velj 2019.

    Project names in search of a codebase: fight_club: for working with generative adversarial neural networks bellagio: for beautifully piping data around a data lake school_zone: for “slowing down” model training/evaluation and educating users on its learning process

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  14. 17. velj 2019.

    Anyone have opinions on how valuable an AWS certification is for a data science career? I’m looking at studying for the Solutions Architect or Big Data Specialty exams.

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  15. 15. velj 2019.

    Monday: never heard of former MA governor Bill Weld. Wednesday: Research Bill Weld on Google after finding out he was involved in a famous data privacy leak. Friday: Bill Weld at top of news feed, running for president. These targeted ads are getting way too real.

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  16. 8. velj 2019.

    Every time I try to install Linux side by side on Windows, my brain acts like it’s never worked with a computer before. Five hours later, I’ve wiped my hard drive, overwritten my backup files and installed the wrong version of Ubuntu. Oi.

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  17. 21. sij 2019.

    And this is before adding axis labels! h/t

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