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Random-Gradient-Free-Optimization
Random-Gradient-Free-Optimization PublicHere is a report, presentation, and sample code on random gradient free optimization. I used the following paper to develop all the materials in this repository: Nesterov, Y., Spokoiny, V. Random G…
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EM-Algorithm-Examples
EM-Algorithm-Examples PublicHere are a couple examples of using the EM algorithm on statistical data. One example is a mixture of binomial distributions and the other is an exercise out of Casella Berger chapter 7.
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Gibbs-Sampler
Gibbs-Sampler PublicHere is a Gibbs sampler to run a hierarchical Bayesian model to classify emails as spam/not spam
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Machine-Learning-Implementations
Machine-Learning-Implementations Public templateHere is a collection of machine learning methods implemented from scratch.
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Masters-Presentation
Masters-Presentation PublicThis repository contains my work for my master's presentation on the statistical analysis of directional data
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