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gimagon

HN member
Joined
Wed, Jan 25, 2017, 12:23 AM UTC
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13
Public activity
11 items

About gimagon

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Recent public activity

  1. comment
    Comment #29233796

    I can't speak to oz's error messages, but for the vega-lite + python integration, I've found altair pretty usable. In particular, simple scatter plots with tooltips were easy to ge…

  2. comment
    Comment #22189348

    Notebooks also inline visualizations more naturally than the repl, which makes them really nice for the data analysis workflow.

  3. comment
    Comment #17766821

    The definition of the Markov property is that the process is memoryless - the probability distribution of the next state only depends on the previous state. This makes them an easy…

  4. comment
    Comment #17035155

    Are you referring to the Cueva paper? I also spent a considerable amount of time trying to replicate it without success. Do you know if the author has released any code yet?

  5. comment
    Comment #16906320

    Yes, see the Hodgkin Huxley model [1]. [1] https://en.wikipedia.org/wiki/Hodgkin%E2%80%93Huxley_model

  6. comment
    Comment #16074269

    It wouldn’t really be irrefutable, it just shifts the claims of bias to what was included as training data.

  7. comment
    Comment #15015785

    His solution doesn't seem to solve the hard problem of "stuffing the ballot box." Any voter can verify their own vote is correct, but they can't verify that each vote is cast by a …

  8. comment
    Comment #14248740

    What's DSP in this context?

  9. comment
    Comment #13602238

    Could a lighter weight website serve more users for the same dollar of bandwidth as bloated website? It seems to me there's a business strategy, where rather than pushing for more …

  10. comment
    Comment #13485994

    I guess I was trying to advocate for somewhat orthogonal ideas. On the one hand, learning how to approximate functions with arbitrary precision definitely solidifies an understandi…

  11. comment
    Comment #13477353

    One small change I'd like is to teach a lot of math from a more numerical approach. Learning to approximate sines, cosines, limits, derivatives, and integrals in university made me…