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Linear algebra plays a role in machine learning. It provides tools used to handle data in matrices and vectors.
Many people think eigenvalues and eigenvectors are the hardest topics in linear algebra. These concepts puzzle students often, and for a good reason.
Linear algebra assists in solving systems of equations. It plays a role in vector spaces, which are important in many areas. Transformations also rely on linear algebra concepts.
Students often find linear algebra hard to understand. Abstract concepts make it tricky for many people. Complex calculations can also add to the confusion.