Introduction to Applied Linear Algebra
- 474pages
- 17 heures de lecture
This innovative textbook offers a clear approach to linear algebra, covering vectors, matrices, and least squares for engineering applications. It includes practical examples from data science, machine learning, and finance, with exercises for real-world problem-solving. Suitable for courses and self-study, it provides a solid foundation for beginners.
