Tag: linear algebra

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.

This is a good visual refresher for the linear algebra that shows up everywhere in ML systems: vectors, matrices, transformations, projections, and the geometry behind model representations.

Keeping it because the best ML explanations usually become easier once the shapes feel physical instead of symbolic.

PCA is one of those concepts that gets overused and under-explained. This is a useful reference for the intuition, terminology, and tradeoffs around dimensionality reduction.

Keeping it because PCA sits at a nice intersection for this site: linear algebra, exploratory data analysis, feature review, and the danger of compressing structure before you know what matters.