Lecture 7: Least-Squares Polynomial Fitting
Lecture 21: Case study 3: spatial modeling
Linear Algebra and Machine Learning of Large Informatics Graphs
Sharp analysis of low-rank kernel matrix approximations
Lecture 7: Generalized Inequality Constraints
Estimation and Control of Aerospace Systems
Lecture 11: Statistical Estimation
Introduction to Communication, Control, and Signal Processing
Bridging the gap between machines and people
Learning to learn and compositionality with deep recurrent neural networks