Key Sequence Review data interpolation regularization Notation New Concepts Train-Test Split Robustness well-posedness Numerical Stability numerically stable vector norms numerically stable quadratic formula polynomial interpolation Vandermonde matrix + monomial basis Lagrange Basis Newton Basis Important Results / Claims near-singular matrix problem Questions Interesting Factoids “optimization is a wrong way to train a neural network” (because you can’t hope to sample a trajectory in \mathbb{R}^{n} at large n)