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1: Probabilistic Reasoning2: Basic Graph Concepts3: Belief Networks4: Graphical Models5: Efficient Inference in Trees6: The Junction Tree Algorithm7: Making Decisions8: Statistics for Machine Learning9: Learning as Inference10: Naive Bayes11: Learning with Hidden Variables12: Bayesian Model Selection13: Machine Learning Concepts14: Nearest Neighbour Classification15: Unsupervised Linear Dimension Reduction16: Supervised Linear Dimension Reduction17: Linear Models18: Bayesian Linear Models19: Gaussi
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