In computer science, you must be aware of machine learning and its application.

Diagonalization, orthogonal projects and orthogonal complements, singular value decomposition, and many more linear algebra topics are utilized in a field called machine learning. What is machine learning? Where is it used? Why is linear algebra so important in machine learning? What are some concrete examples that apply to machine learning? In order for machine learning to be effective, large amounts of data must be present. Which fields have a naturally large amount of data?