This chapter presents some fundamental concepts of linear algebra that find applications to problems related to data science, machine learning, natural language processing, and also computer vision. In machine learning, it helps gain insight into certain basic computational tools that one needs to study loss functions, regularization, covariance matrix, support vector machine, and the dimensionality reduction technique such as the principal component analysis.