Sean J. Taylor

@seanjtaylor

Research Scientist at Lyft. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.

San Francisco, CA
seanjtaylor.com
Vrijeme pridruživanja: veljača 2009.
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  1. Prikvačeni tweet
    23. velj 2017.

    Prophet is an open-source forecasting package implemented in both Python and R, used in production at Facebook:

    17 replies 326 proslijeđenih tweetova 838 korisnika označava da im se sviđa
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  2. prije 10 sati

    I’m a sucker for Tweet polls because I love original data collection and I also love passive-aggressively arguing about diction.

    1 reply 22 korisnika označavaju da im se sviđa
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  3. prije 10 sati

    Your preferred verb for “take a prototype and make it work in production” (h/t )

    10 replies 2 proslijeđena tweeta 4 korisnika označavaju da im se sviđa
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  4. prije 13 sati

    Perhaps the strongest Pearl-bait I’ve ever come across.

    We often hear that AI systems must provide explanations and establish causal relationships, particularly for life-critical applications. Yes, that can be useful. Or at least reassuring.... 1/n
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    5 proslijeđenih tweetova 69 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    4. velj

    data scientist more like front-end data engineer

    5 replies 29 proslijeđenih tweetova 203 korisnika označavaju da im se sviđa
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  6. proslijedio/la je Tweet
    3. velj

    Why do random embedding methods for high-dimensional Bayesian optimization produce inconsistent results? Find out in our new paper w/ et al . Implementation of new method now in Ax. See for usage + replication materials.

    11 proslijeđenih tweetova 55 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    3. velj

    We're hiring a Sr. Data Scientist who specializes in experimentation and causal inference for the Experimentation Data Science team at Twitter. If you're interested, or know of someone would be, please check out the link or shoot me a DM to learn more.

    53 proslijeđena tweeta 123 korisnika označavaju da im se sviđa
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  8. 4. velj

    Relieved that we’ve got one of the best in the business leading the data science effort in the most important election of our lifetime.

    Our team is supporting the technology and methodology behind our experimental testing framework to better understand what resonates with what kinds of people. And I’m excited to share what we learn.
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    1 proslijeđeni tweet 22 korisnika označavaju da im se sviđa
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  9. proslijedio/la je Tweet
    3. velj

    PROFESSIONAL NEWS ALERT: I recently took a new role as ACRONYM’s Chief Scientist. I’m thrilled to join the amazing team that put together & to once again work with , , & other FB veterans.

    23 proslijeđena tweeta 219 korisnika označava da im se sviđa
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  10. 3. velj

    It's fortunate that football analytics frequently endorse decisions that lead to more exciting games. Much less fun to be a nerd recommending punts, field goal attempts, or running the ball based on your analysis. It need not be true that data leads to more interesting strategy.

    KC very plausibly doesn't win tonight except for two 4th down attempts in situations very few coaches would have even considered 10 years ago.
    2 proslijeđena tweeta 49 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    1. velj
    Odgovor korisniku/ci

    Back of the envelope, {"On what date were you born?", "On what date was your father born?", "On what date was your mother born?"} should be approximately unique: Day alone gets to 7*10^9/365^3~143, year has a complex covariance structure but should have enough to finish the job.

    1 reply 2 proslijeđena tweeta 11 korisnika označava da im se sviđa
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  12. 1. velj

    Questions like this remind me of a project (I can no longer find a link!) to design a series of simple questions that you could use to assign a unique number to everyone on Earth. In theory you’d need only 33 yes/no questions, if they were 50/50 responses and uncorrelated.

    How long can you use a glass—solely for drinking water within your own home—before swapping it for a clean glass from the cupboard?
    8 replies 18 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    1. velj

    Sentiment analysis is still mostly bullshit, friends.

    7 replies 59 proslijeđenih tweetova 376 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    1. velj
    Odgovor korisniku/ci

    For reference, our microbiology experts have been working to approve re-use of Orion drink bags for up to 24 hours. As I understand it, they’ve had some challenges.

    1 proslijeđeni tweet 2 korisnika označavaju da im se sviđa
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  15. 1. velj

    How long can you use a glass—solely for drinking water within your own home—before swapping it for a clean glass from the cupboard?

    21 reply 5 proslijeđenih tweetova 28 korisnika označava da im se sviđa
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  16. 29. sij

    TFW when people refer to their estimates as "stat-sig"

    1 proslijeđeni tweet 28 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    28. sij

    “There are some symbols that look like pitchforks, a bunch of upside down triangles, the letter N wearing a party hat.”

    8 proslijeđenih tweetova 32 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    27. sij

    Have you ever calculated the sample size for an and come up with a sample size that is bigger than you can ever practically get? Does this mean you shouldn't run the test? No! A paper thread for 1/17

    29 proslijeđenih tweetova 121 korisnik označava da mu se sviđa
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  19. proslijedio/la je Tweet
    24. sij

    We’re looking for a Director of ML at in either SEA or SFO. Come work with me and an outstanding team! 🚗 👋

    22 proslijeđena tweeta 34 korisnika označavaju da im se sviđa
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  20. 24. sij

    When your learning rate schedule is perfect.

    0:35
    Despite Zion Williamson debuting tonight and scoring 17 points in a three minute stretch, this is the play of the year so far.
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    73 proslijeđena tweeta 491 korisnik označava da mu se sviđa
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  21. proslijedio/la je Tweet
    23. sij

    Best companies of the future are going to need to be much better at statistics. Or they will be lucky and have very forgiving business models.

    10 proslijeđenih tweetova 43 korisnika označavaju da im se sviđa
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