My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
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Updated
Mar 23, 2023 - TeX
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
Machine Learning UIUC SP 2018
Expectation Maximisation, MCMC Sampling, Convex Optimisation
Coursework project for my third-year Bioinformatics module. Largely working with Hidden Markov Models (q1) and tree reconstruction & the BUILD algorithm (q2)!
Train a first-order (i.e., the probability of a tag depends only on the previous tag) HMM part-of-speech tagger. Find the MAP estimate of the parameters of the model using add-1 smoothing.
Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.
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