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I am currently having some trouble understanding some of my college AI class material, specifically on Markov Chain, HMM, Forward Algorithm, and ideally being able to tie them all back to Linear Algebra. I think I understand most of the concepts (hopefully) outlined in the class material. But there are some holes in between that are nagging me, and I would like to flush out my understanding of the material by walking them through (specifically on the math, and prob side) with an expert. Most of the material I am working with right now can be access freely from lectures on probability and hmm inference.

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Saturday, Nov 09 at 1:00 PM EST
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