Description
Linear Algebra and Its Applications provides a thorough introduction to the principles of linear algebra and demonstrates their applications across mathematics, science, engineering, computer science, and data analysis. The book covers vectors, matrices, systems of linear equations, vector spaces, linear transformations, eigenvalues, eigenvectors, orthogonality, and matrix factorizations, emphasizing both theoretical understanding and practical problem-solving. With numerous examples and real-world applications, it equips readers with the mathematical foundation required for advanced study in fields such as machine learning, artificial intelligence, engineering, and applied mathematics.
