Linear Algebra Fundamentals

  1. 1.Why Linear Algebra Matters for Programmers
  2. 2.Vectors: Operations & Geometric Intuition
  3. 3.The Cross Product & Working in 3D
  4. 4.Matrices: Representation & Basic Operations
  5. 5.Matrices as Transformations
  6. 6.Systems of Linear Equations & Gaussian Elimination
  7. 7.The Determinant & Matrix Inverse
  8. 8.Vector Spaces, Span, Basis & Dimension
  9. 9.Eigenvalues & Eigenvectors
  10. 10.Capstone — Linear Algebra in Practice