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There are many ways to motivate Fourier analysis, and recently I discovered a new one: fourier transforms are what happens when you diagonalize translation symmetry.
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I’m not sure why, but high school calculus traditionally jumps straight into the continuous setting completely ignoring the fact that most of the computational methods have clear discrete analogues.
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Prediction markets have been taking off.
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IVF embryo selection is having a moment.
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I came across this article today on top of Hackernews which reminded me of some quant interview questions requiring some clever discrete derivative matrix tricks.
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Last fall, I spent a couple of months actively researching the robotics space for problems to solve or good companies to join.
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Back in college, I developed an interest in unexpected impossibility proofs applied to real world systems.
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You’re a bright young kid striving to change the world.
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It’s now been almost two years since graduating from Stanford, and I wanted to carve out a post to reflect deeply on how well I spent my time there, now with the benefit of hindsight, and with the additional goal of informing my future self to bias towards
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Autogenerated Dictionary In python, it’s often the case I find myself wanting the ability to very quickly construct dictionaries with nested structures.