Scribing page for CS281. See example for use of the template. Please also see the LaTeX guide.
Lecture 1 - Introduction [no scribe notes]
Lecture 2 - Discrete Models
Lecture 3 - Multivariate Normal Distributions
Lecture 4 - Linear Regression
Lecture 5 - Linear Classification
Lecture 6 - Exponential Families
Lecture 7 - Neural Networks
Lecture 8 - Backpropagation and Directed Graphical Models
Lecture 9 - Undirected Graphical Models
Lecture 10 - Time Series
Lecture 11 - Belief Propagation