Tag: statistics

This is a useful bridge for software developers who can build with LLM APIs but want to understand the math vocabulary underneath attention, embeddings, optimization, and probabilities.

I like links like this because they reduce magical thinking. You do not need a PhD to reason better about LLM systems, but you do need enough math to know what the abstractions are hiding.

Evan Miller's statistics pages are useful because they speak to programmers who need decision math, not notation theater. This one is especially good as a quick reference for formulas that show up in experiments and product metrics.

Worth keeping near the statistics posts because it encourages the right instinct: make the uncertainty explicit before turning a number into a decision.

This is an older link, but the basics age well: understand the question, inspect the data, be skeptical of easy patterns, and communicate the analysis so someone can use it.

I am keeping the original http URL because that is the canonical source that still resolves. The content fits the site's recurring theme: analysis is decision support, not chart production.