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Description

  1. Exponential family and conjugate priors
  2. The Bayesian perspective on finite state and context free models
  3. Missing data and unsupervised learning
  4. Topic models and nonparametric Bayes
  5. Approximate inference: MCMC, variational methods, contrastive divergence

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