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Viewing profile — dhammack

dhammack

HN member
Joined
Sat, Feb 18, 2012, 8:55 PM UTC
HN karma
196
Public activity
57 items

About dhammack

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Recent public activity

  1. comment
    Comment #40104874

    Was this summary generated by a LLM?

  2. comment
    Comment #35730753

    On the broader point though, there certainly are some companies that have access to unique datasets that they can take advantage of. Meta and Google come to mind as obvious ones, p…

  3. comment
    Comment #34175964

    Had a similar experience in middle school. We started initially doing net-send to specific users and having played around a little bit with batch files/command prompt before I trie…

  4. comment
    Comment #28545073

    You can get the real content without the commentary at https://www.volcanodiscovery.com/lapalma/sep2021seismic-cris... Also see https://en.wikipedia.org/wiki/Cumbre_Vieja_tsunami_h…

  5. comment
    Comment #25417085

    Thanks for posting. In the early 2000's me, my brothers, and my dad spent several months taking pictures and submitting each sequential minute between 8-9. Looking back probably 20…

  6. comment
    Comment #19521429

    Looks like only scoring code, not training :(

  7. comment
    Comment #19056434

    Voloridge Investment Management | Quant Analyst | Jupiter, FL | Full-time | ONSITE Voloridge Investment Management is an SEC registered investment advisor that implements bleeding …

  8. comment
    Comment #18465926

    Hey I'm not familiar with this way of comparing classical and quantum computation. Can you point me to some more details? I have Nielson's book but don't remember seeing this analo…

  9. comment
    Comment #12457578

    I see. I still think it's easier to apply deepmind's feature transform on text rather than to try to invert a neural network. Armed with a network trained on Trump, deepmind's feat…

  10. comment
    Comment #12457062

    It seems like you're using WaveNet to do speech-to-text when we have better tools for that. To transfer text from Trump to Clinton, first run speech-to-text on Trump speech and the…

  11. comment
    Comment #11328225

    My hypothesis is that all RNNs (and in general complex dynamical systems) need to be reset periodically. If run for too long without resetting, they tend to get stuck in strange st…

  12. comment
    Comment #9961673

    It just finished, I got 4th. I used convnets. With the correct initialization and data preprocessing they actually are quite easy to train.

  13. comment
    Comment #9354190

    The other thing hedge funds offer is alternative markets to track. So while some may track the U.S. stock market (which you can get by just buying SPY), some funds track other mark…

  14. comment
    Comment #9080520

    If you think the true sentiment is symmetric, you can just change the decision threshold so that your algorithm answers positively about half the time. Just say positive when the s…

  15. comment
    Comment #9034246

    You also may want to try betting on the spread between male-only companies and ones with at least one woman on the board. If the investment thesis is sound (board gender diversity …

  16. comment
    Comment #8593919

    #4 is the only one which I would say does not hold. I'd be very surprised if a firm of manual traders could consistently outperform the market (or beat a Sharpe of 1).

  17. comment
    Comment #8577788

    FYI - Hinton is doing an AMA on r/machinelearning on Monday!

  18. story
  19. comment
    Comment #8130045

    Very impressive! Some cool ones it recognized: milk jug http://cdn-jpg.allyou.com/sites/default/files/image/2014/01/... ["milk", "gallon", "jug", "product", "detergent", "plastic",…

  20. comment
    Comment #8104669

    I think it's rescaling all images to fit the training size. If that is the case, then when your image has very different dimensions it gets distorted and confused. Try something wi…

  21. comment
    Comment #6967277

    Your argument is more philosophical than mathematical. Lines are traditionally defined as the set of all points which satisfy some critera. In this case, a line is precisely made u…

  22. story
  23. comment
    Comment #6875882

    Can you imagine the datasets FB has to work with? Statuses, pictures, locations, social graphs. It's incredible. It's hard to blame LeCun/Hinton/Ng for moving towards industry with…

  24. comment
    Comment #6867315

    I like to think of the vectorized representation as just a nonlinear transformation to a higher dimensional space with a classifier afterwords. If you're familiar with linear algeb…

  25. comment
    Comment #6867110

    I've managed to get an intuition for backpropagation (the way gradients are computed for neural networks) using a similar analogy. The basic idea is that it's just a signal moving …