Linear Algebra, Machine Learning, Data Science, Mathematics, Math For Data Science.
Unsupervised, all of which are founded in linear algebra. For e.g, Linear Algebra is useful in strengthening ML techniques such as Linear Regression, Logistic Regression, Support Vector Machines (SVM), and Neural Networks (NN), as shown in applications such as Matrix Factorization, Single Value