Towards Data Science

How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones

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Keep your apps looking professional with Claude Code design skills

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How statistical moments connect the mean, the variance, and higher powers of a distribution

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Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data you have — and exactly how much more data buys you.

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First in a series on probabilistic forecasting for physical signals. Next: what happens when you roll the forecast forward more than one step.

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