Domain: Mathematics
Condition Number
Advanced
Sensitivity of a function to input perturbations.
Eigenvector
Advanced
Vector whose direction remains unchanged under linear transformation.
Gradient
Advanced
Direction of steepest ascent of a function.
Hessian
Advanced
Matrix of curvature information.
Inner Product
Advanced
Measures similarity and projection between vectors.
Jacobian
Advanced
Matrix of first-order derivatives for vector-valued functions.
Linear Algebra
Advanced
Mathematical foundation for ML involving vector spaces, matrices, and linear transformations.
Norm
Advanced
Measure of vector magnitude; used in regularization and optimization.
Orthogonality
Advanced
Vectors with zero inner product; implies independence.
Rank
Advanced
Number of linearly independent rows or columns.
Singular Value Decomposition
Advanced
Decomposes a matrix into orthogonal components; used in embeddings and compression.
Vector Space
Advanced
Set of vectors closed under addition and scalar multiplication.