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※ 출처: https://medium.com/towards-data-science/brief-introduction-to-markov-chains-2c8cab9c98ab Introduction In 1998, Lawrence Page, Sergey Brin, Rajeev Motwani and Terry Winograd published “The PageRank Citation Ranking: Bringing Order to the Web”, an article in which they introduced the now famous PageRank algorithm at the origin of Google. A little bit more than two decades later, Google has b..

※ https://medium.com/towards-data-science/bayesian-inference-problem-mcmc-and-variational-inference-25a8aa9bce29 Introduction Bayesian inference is a major problem in statistics that is also encountered in many machine learning methods. For example, Gaussian mixture models, for classification, or Latent Dirichlet Allocation, for topic modelling, are both graphical models requiring to solve such ..

※ https://medium.com/@chloebee/the-em-algorithm-explained-52182dbb19d9 The expectation-Maximization algorithm (or EM, for short) is probably one of the most influential and widely used machine learning algorithms in the field. When I first came to learn about the EM algorithm, it is surprisingly difficult to find a tutorial that offers an intuitive explanation about what is attempts to achieve a..