Math & Optimization · beginner · concept 38 of 176

📐Linear Algebra for ML

The substrate everything runs on: data is vectors, models are matrices, and a forward pass is matrix multiplication. You need a working feel for dot products, matrix shapes, and eigenvectors, not proofs. GPUs exist because this one operation dominates all of AI. SVD, the workhorse matrix decomposition, is the machinery behind PCA and the low-rank idea LoRA reuses.