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jellyksong

HN member
Joined
Mon, Aug 29, 2011, 4:59 PM UTC
HN karma
1,174
Public activity
159 items

About jellyksong

In Tokyo.

https://kennysong.com

Recent public activity

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    Comment #33394076

    Our team is in a similar position right now — I’m curious how you decided on Highcharts as opposed to other options like Plotly.

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    Comment #31645665

    Basic question: Why is this faster than running Intel Linux apps in an emulated Intel Linux VM? Because Rosetta is faster than QEMU, and you only need to emulate one application ra…

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    Comment #28602048

    There's an amazing game, 4D Toys [1], that lets you interactively play with 4D objects in a 3D environment. It's great on iPad. I believe the developer had to create a custom physi…

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    Comment #28068250

    I believe some algorithms, like AutoML-Zero, search on the level of mathematical operations.

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    Comment #28068153

    This is basically what the field of neural architecture search tries to do. Here’s a good (somewhat technical) introduction: https://lilianweng.github.io/lil-log/2020/08/06/neural-…

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    Comment #28037917

    In the same theme, there’s a recent documentary called “The Weight of Gold”, narrated by Michael Phelps and other Olympic champions. Really poignant stories.

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    > Thankfully these days Cloud Native Python apps are built around less monolithic options such as Flask, Pyramid, or Tornado. FastAPI is also a very popular choice these days, argu…

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    Comment #26177666

    Pretty cool! If you're into these kinds of historical illustrations, I highly recommend the wonderful EdX course "Visualizing Japan". https://www.edx.org/course/visualizing-japan-1…

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    Comment #25995714

    Two questions: 1. I wonder how many times the test set can be used on "incremental changes in future versions of the model" before losing statistical validity. 2. This article desc…

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    Comment #25810012

    They show up in roots of polynomials with real coefficients.

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    Comment #24843363

    This article is about optimization (finding good parameters), not the approximation power of neural networks (which is well-known through the universal approximation theorem).

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    Comment #24230628

    Why doesn't this work for new industries?