Linear Algebra and Its Application in AI Algorithms

This textbook provides a clear and practical approach to linear algebra with a focus on artificial intelligence and machine learning applications. It covers matrices, vectors, eigenvalues, and transformations, demonstrating how these mathematical tools power algorithms like neural networks, dimensionality reduction, and computer vision. The book blends theory with computational examples and visual explanations to build conceptual clarity. Students will gain hands-on experience using mathematical foundations to implement AI models efficiently. Suitable for computer science, mathematics, and data science learners, it bridges the gap between abstract math and intelligent algorithm design.