#Dimensionality Reduction

Linear Algebra in ML From Matrices to Embeddings

Linear algebra forms the fundamental language of modern machine learning. This article explores how seemingly abstract concepts—vectors, matrices, decompositions—materialize into practical applications ranging from dimensionality reduction to semantic representation learning.