ABSTRACT
When I studied linear algebra in college, I did not know if it had any applications aside from solving linear equations. Many concepts that I encountered when learning about matrices, such as an eigenvalue, seemed to be particularly irrelevant to everyday life. Later, I enrolled in the numerical analysis course and learned approaches to solve matrix problems with computers, but I still could not think of any application for these methods beyond the classroom setting. I believe that most students who take these courses today still face the same confusion as I did, 30 years back. It was not until after many years of research in natural language processing that I started to realize that these ideas and algorithms from linear algebra had practical significance for real life.
