Understanding 10 701 Machine Learning Fall 2014 Midterm Review
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- Topics: Practice working with probability distributions involving linear algebra and matrix calculus Lecturer: Anthony Platanios ...
- Topics: probabilistic modeling, graphical models, Gaussian mixture models, expectation maximization (EM) Lecturer: Abu ...
- Introduction to
- Topics: analysis of boosting, introduction to graphical models Lecturers: Aarti Singh and Geoff ...
- Machine Learning 10-701 Recitation 6 (Midterm review)
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Topics: hidden Markov model (HMM), belief propagation, junction tree algorithm Lecturer: Geoff Gordon ...
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