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mmmmpancakes

HN member
Joined
Sun, Jul 15, 2018, 5:59 AM UTC
HN karma
162
Public activity
64 items

About mmmmpancakes

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Recent public activity

  1. comment
    Comment #40266666

    So this is just showing a bit of your ignorance of stats. The general notion of compound risk is not specific to MSE loss. You can formulate it for any loss function, including L1 …

  2. comment
    Comment #40265230

    No it is not bogus, you just don't know much stats apparently.

  3. story
  4. comment
    Comment #39369441

    parquet is perfectly fine > There is Parquet. It is very efficient with it’s columnar storage and compression. But it is binary, so can’t be viewed or edited with standard tools, w…

  5. comment
    Comment #39365509

    To me, Polars feels like almost exactly how I would want to redesign Pandas interfaces for small - medium sized data processing, given my previous experience with Pandas and PySpar…

  6. comment
    Comment #39365416

    Suggest the following pattern: 1. load and process / aggregate in polars to get the smaller dataset that goes into your plot. 2. df.to_pandas() 3. apply your favourite vis library …

  7. comment
    Comment #39365406

    i mean, if you are reading and writing csv then yeah, you've already fucked up.

  8. comment
    Comment #38490921

    Scientific fraud makes me sad and angry.

  9. comment
    Comment #38049881

    Disagree. The purpose of a textbook and a lecture is very different. A good textbook can be a helpful resource for teaching and lecturing, but it is not sufficient to guarantee hig…

  10. comment
    Comment #38049541

    The ability to communicate math this way is honestly rare. It comes from a combination of deep understanding, long experience in communicating math, and a certain level of "culturi…

  11. comment
    Comment #37935272

    Because with real world data like in production in tech there are so many factors to account for. Brittle methods are more susceptible to unexpected changes in the data or unexpect…

  12. comment
    Comment #37906720

    > This seems like a natural feature of any sensitive method, not sure why this is something to complain about. I am exactly complaining it is sensitive. If theres robust alternativ…

  13. comment
    Comment #37894542

    Yeah, the only common theme I see in causal inference research is that every method and analysis eventually succumbs to a more thorough analysis that uncovers serious issues in the…

  14. comment
    Comment #37894495

    From my experience propensity scores + ipw really doesn't get you far in practice. Propensity scoring models rarely balance all the covariates well (more often, one or two are marg…

  15. comment
    Comment #37592078

    It may be ideal to have all these items checked off. I think a productive way to look at this is "how many of these items does the roadmap check"? If the answer is "very few" then …

  16. comment
  17. comment
    Comment #37083608

    can you please spell out what MDL is an acronym for?

  18. comment
    Comment #36913403

    I mean, of course? Concurrency != parallelism, so that makes sense. Where multiprocessing shines is when you have an algorithm that can be fully parallelized and represented in a b…

  19. comment
    Comment #36907023

    I mean, hopefully why you might need multiprocessing in python is clear? If you have a python task that is highly parallelizable on a single machine with multiple cores, then multi…

  20. comment
    Comment #36426868

    how do you work 4 years on a project before having a tracked goal. absurd. sounds like management's fault.

  21. comment
    Comment #36077514

    fancy name for what seems like a fairly standard "intro to proofs" textbook, at least based on the ToC.

  22. comment
    Comment #35648891

    > The fact that Microsoft is baking GPT into all of their products guarantees explosive growth. Why?

  23. comment
    Comment #35508344

    [flagged]

  24. comment
    Comment #34044055

    > I still think Elon is a smart guy. > I don't think he realizes that the techniques that work for cars and rockets don't work in social media. Hmmm...

  25. comment
    Comment #34008405

    Amazon has roughly 350 MM products if you account for third party sellers, so yeah, the scale is massively different.