Eigenvector

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Measure of vector magnitude; used in regularization and optimization.

Measures similarity and projection between vectors.

Vectors with zero inner product; implies independence.

Mathematical foundation for ML involving vector spaces, matrices, and linear transformations.

Set of vectors closed under addition and scalar multiplication.