Media Summary: Topics: course logistics, high-level overview of Boosting; HMMs and DBNs; overview of MCMC. Topics: review of probability theory, multivariate normal distribution Lecturer: Ben Cowley ...

10 701 Machine Learning Fall - Detailed Analysis & Overview

Topics: course logistics, high-level overview of Boosting; HMMs and DBNs; overview of MCMC. Topics: review of probability theory, multivariate normal distribution Lecturer: Ben Cowley ... Topics: overview of topics tested on exam, Q&A Lecturer: Ben Cowley graphical models: factor graphs, Markov random fields, junction trees Note: interesting part starts at minute 4:30 due to slight ... decision trees, bagging, discriminative v. generative.

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10-701 Machine Learning Fall 2014 - Lecture 1
7.3 Inference Algorithms - Machine Learning Class 10-701
10-701 Machine Learning Fall 2013 Lecture 23
4.2.1 Kernels - Machine Learning Class 10-701
7.4 Models - Machine Learning Class 10-701
Machine Learning 10-701 Lecture 1
10-701 Machine Learning Fall 2014 - Recitation 1
10-701 Machine Learning Fall 2014 - Midterm 2 review
10-701 Machine Learning Fall 2013 lecture 19
10-701 Machine Learning Fall 2013 Lecture 22
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