Linear Algebra is a fundamental area of mathematics focused on vectors, vector spaces, and linear transformations. This branch is widely used in fields such as computer science, economics, physics, and data science, providing tools to represent and solve linear systems of equations through vectors and matrices.
Key operations like matrix addition, multiplication, and inversion serve as building blocks for complex problem-solving. Linear transformations, which map vectors to other vectors, are essential in applications like computer graphics and machine learning. Eigenvalues and eigenvectors further support data analysis, while vector spaces, determinants, and rank help solve higher-dimensional problems and assess system solvability.
Explore the videos below to master Linear Algebra:
Linear Algebra - Full College Course Part 1
Linear Algebra - Full College Course Part 2
Linear Algebra Course – Mathematics for Machine Learning and Generative AI
