Singular Value Decomposition

Measure of vector magnitude; used in regularization and optimization.

Measures similarity and projection between vectors.

Vectors with zero inner product; implies independence.

Number of linearly independent rows or columns.

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

Set of vectors closed under addition and scalar multiplication.

Vector whose direction remains unchanged under linear transformation.