Lecture 12: Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitude modulation (QAM), and frequency translation
Lecture 6: Least-Squares
Discriminative k-Metrics
Lecture 3: Linearization (Continued)
Lecture 9: Max-min problems; least squares
PAC-Bayesian Bounds and Aggregation
Lecture 3: Newton's Method
Lecture 24: Introduction to First-order Systems of ODE's; Solution by Elimination, Geometric Interpretation of a System
Lecture 11: Differentials; chain rule
Sparse Representations from Inverse Problems to Pattern Recognition