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Important machine learning equations

(chizkidd.github.io)
302 points sebg | 1 comments | 28 Aug 25 11:38 UTC | HN request time: 0s | source
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cgadski ◴[28 Aug 25 13:16 UTC] No.45051795[source]▶
> This blog post has explored the most critical equations in machine learning, from foundational probability and linear algebra to advanced concepts like diffusion and attention. With theoretical explanations, practical implementations, and visualizations, you now have a comprehensive resource to understand and apply ML math. Point anyone asking about core ML math here—they’ll learn 95% of what they need in one place!

It makes me sad to see LLM slop on the front page.

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maerch ◴[28 Aug 25 13:23 UTC] No.45051866[source]▶
Apart from the “—“, what else gives it away? Just asking from a non-native perspective.
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1. nxobject ◴[28 Aug 25 19:06 UTC] No.45055799[source]▶
Three things come to mind:

- bold-face item headers (eg “Practical Significance:”)

- lists of complex descriptors non-technical parts of the writing (“ With theoretical explanations, practical implementations, and visualizations”)

- the cheery, optimistic note that underlines a goal plausibly derived from a prompt. (eg “ Let’s dive into the equations that power this fascinating field!”)