Computational Thinking, Python, Linear Algebra, Linear Regression, Jupyter Notebook.
perturbation behavior of an algorithm used to solve that problem on a computer (e.g. least squares algorithms, householder, back substitution, gaussian elimination) Conditioning example The problem of computing eigenvalues of a non-symmetric matrix is often ill-conditioned A = [[1, 1000], [0, 1]] B