Media Summary: decision trees, bagging, discriminative v. generative. Topics: course logistics, high-level overview of Boosting; HMMs and DBNs; overview of MCMC.
Machine Learning 10 701 Lecture - Detailed Analysis & Overview
decision trees, bagging, discriminative v. generative. Topics: course logistics, high-level overview of Boosting; HMMs and DBNs; overview of MCMC. Graphical models: junction trees, belief propagation. Note that the first Gaussian Processes, Part 1 Introduction to Gaussian Processes (Classification and Regression) Exponential Families (brief intro) Introduction to
