Mathematics, Data Science, Programming, Algebra, Course.
of the limits of eigenvalue analysis before delving into the details of singular value decomposition and other matrix operations. Content of the course- Law of large numbers The geometry of high dimensions Random walks in Euclidean space Gradient Descent methods Graph partitioning Bayesian or