Exploring 10 701 Machine Learning Fall 2014 Lecture 1
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- Topics: hidden Markov models, forward-backward algorithm, Viterbi algorithm for finding the most probable state sequence, EM ...
- ... on on each of the uh
- Topics: analysis of boosting, introduction to graphical models Lecturers: Aarti Singh and Geoff ...
- Madalina Fiterau (recitation)
- Lecture
In-Depth Information on 10 701 Machine Learning Fall 2014 Lecture 1
Topics: course logistics, high-level overview of Topics: review of probability theory, multivariate normal distribution Linear algebra review. Topics: overview of topics that may tested on exam, open Q&A
Lagrange multipliers, duality and KKT conditions.
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