Linear Algebra — Vectors, Matrices and Transformations

Linear algebra is the study of vector spaces and the linear transformations between them. It is essential for physics, engineering, computer graphics and modern machine learning.

Core Objects

• Vectors, dot products and norms.
• Matrices and matrix multiplication.
• Systems of linear equations.
• Determinants, inverses and rank.
• Eigenvalues, eigenvectors and diagonalisation.