Final Review – Linear Algebra Basics (Vectors & Matrices)
Congratulations! You’ve completed the full beginner course.
Here is a quick summary of the main concepts:
- Vectors: definition, components, magnitude, unit vectors
- Operations: addition, subtraction, scalar multiplication
- Dot product: angle, projection, orthogonality
- Cross product (3D): perpendicular vector, right-hand rule
- Span, linear dependence/independence, basis, dimension
- Matrices: representation, addition, scalar multiplication
- Matrix-vector multiplication & linear transformations
- Systems of equations: Gaussian elimination, row echelon form, rank
- Determinants & inverses (2×2 focus)
- Eigenvalues & eigenvectors: special directions & scaling
Now let’s practice everything together!
Final Advice
You now have the foundation for:
- Machine Learning (vectors, matrices, eigenvalues → PCA, regression)
- Computer Graphics (transformations, projections)
- Physics (forces, torque, vibrations)
- Engineering & Data Science
Practice problems daily. Try implementing small programs (Python/NumPy) to visualize vectors and transformations.
Thank you for completing the course! You’re ready to tackle more advanced topics.
Keep learning — you’ve got this!