Data Science, Linear Algebra, Machine Learning.
algebraic tasks, such as solving linear equations, eigenvalue decomposition, and matrix factorization, where they allow us to work with data in a higher-dimensional space to capture more complex relationships. Support Vector Machines (SVM): One of the most popular applications of kernel methods in