Lizzie Kumar

@ziebrah

Not that kind of data scientist 🔎 PhD student providing you with free opinions about machine learning, justice, & internet humor 🏳️‍🌈 she/her

Vrijeme pridruživanja: kolovoz 2011.

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  1. Prikvačeni tweet
    3. velj

    After decompressing a bit from the conference formerly known as FAT* I feel the need to clarify that I’m here (in this field) with an agenda, and was really pleased that many others there are interested in navigating the boundaries of the ivory tower in this sort of way.

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  2. prije 17 sati

    Tag yourself... I am the woman who doesn’t follow celeb accounts but is constantly looking up what the SUR ladies are getting up to between episodes

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  3. proslijedio/la je Tweet
    5. velj

    At the very least, I’d say they help with awareness, and against deniability. If you know that a model has properties that make it unsuitable for your purposes, but still use it, then that’s clearly irresponsible. Model cards make it hard to deny that you know about issues.

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  4. 5. velj

    me @ my monitor at the office: i'd rather be witchu, but u are not around, so ima call somebody up and see if they be down bc i hate working from home, i hate working from home

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  5. 5. velj

    Did I get Big Fat Liar'd???????

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  6. 5. velj

    Can't stop thinking about the Good Place and how I wrote a short play in high school with some uncanny similarities: two people with amnesia meet in a waiting room, interact with a mysterious Janet-like Receptionist, find out they are dead. Was Michael Schur in the audience???

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  7. 4. velj

    Let’s rephrase. What are ways in which a feature might be “important”? Feel free to be vague

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  8. 4. velj

    Methods, definitions, opinions, and feelings will all be accepted

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  9. 4. velj

    I'm way too in my head about this. What do you think of when you hear the phrase "feature importance" ?

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  10. 4. velj

    rude awakening this week after such a nice time out of town to a foot of snow, a cold, an imminent deadline, and uhhhhhh you know whatever else is going on right now

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  11. 3. velj

    Funny how writing my paper feels way easier after I talked to a ton of different kinds of people about it. It's almost as if I wish to collaborate

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  12. 3. velj

    ...or, obviously, an industry researcher, or government official, part of federally funded initiatives etc etc etc

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  13. 3. velj

    Our research is not futile but it can only go so far by staying within the existing structures that currently confine the experience of being a student or professor

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  14. 2. velj

    Yes; my father. I know nothing about his field and he had very little advice about CS grad school when I graduated college. But having a STEM prof tell me he thinks i have what it takes to be a mathematician has been a rare and clear advantage throughout my entire life.

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  15. proslijedio/la je Tweet
    31. sij

    some insight for prospective/current PHD students [thread]: I have a lot undergrad debt, no choice. got into a funded PhD I was relieved. But what isn’t explained to a 1st gen scholar of color is to get CV lines, go to conferences, give talks, etc, requires ALOT of extra money.

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  16. proslijedio/la je Tweet
    31. sij

    The way we talk about data science and focus so much on methods, we actually incentivize working with *bad* data, rather than spending the time to collect good data and then use easy methods with it

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  17. proslijedio/la je Tweet
    30. sij

    Repect to all the researchers presenting at but the fair down the street is where the real intellectual fireworks were today. I wish there was a critical art intervention at every tech conference I went to!

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  18. 30. sij

    Especially if you need a ML gal on your neat social science project

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  19. 30. sij

    Really happy to have met so many new friends, old friends, colleagues, mentors, role models AND (hopefully) LOTS of future collaborators at aka - everyone please keep in touch!!

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  20. 30. sij

    Alright. Before I make a sappy post-conference post my biggest pet peeve at is that we are still categorizing papers by discipline at all. My favorite talks by FAR were collaborations.

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