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Joined 1 year ago
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Cake day: July 1st, 2023

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  • You often need to be pretty good at math. But not because you’re “doing math” to write the code.

    In real world software systems, you need to handle monitoring and alerting. To properly do this, you need to understand stats, rolling averages, percentiles, probability distributions, and significance testing. At least at a basic level. Enough to know how to recognize these problems and where to look when you run into them.

    For being a better coder, you need to understand mathematical logic, proofs, algebra/symbolic logic, etc in order to reason your way through tricky edge cases.

    To do AI/ML, you need to know a shitton of calculus and diff eqs, plus numerical algorithms concepts like numerical stability. This is kinda a niche (but rapidly growing) engineering field.

    The same thing about AI also applies to any other domain where the thing being computed is fundamentally a math or logic solution. This is somewhat common in backend engineering.

    I’m not “doing math” with pen and paper at work, but I do use all of these mathematical skills all. the. time.

    I am an SRE on a ML serving platform.






  • And it is not possible to “visualize 4D”

    Sure it is.

    • 3 spatial dimensions + time
    • 3 spatial dimensions + 1 color dimension (grayscale)
    • 2 spatial dimensions + 2 color dimensions
    • etc

    And that’s not even counting projection. All the time we interact with 3D data that’s projected to 2D (almost every photo you’ve ever looked at). There are similar ways to project 4D to 2D.

    (Not defending the video or anything, just pointing out that visualizing higher dimensions is something we know about for ages.)