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..
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datasets
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figures
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files
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scripts
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00_Introduction.ipynb
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01_Machine-Learning-Overview.ipynb
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02_Probability-Review.ipynb
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03_Bayesian-Machine-Learning.ipynb
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04_Working-with-Gaussians.ipynb
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05_Density-Estimation.ipynb
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06_Linear-Regression.ipynb
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07_Generative-Classification.ipynb
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08_Discriminative-Classification.ipynb
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09_Clustering-with-Gaussian-Mixture-Models.ipynb
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10_The-General-EM-Algorithm.ipynb
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11_Continuous-Latent-Variable-Models-PCA-and-FA.ipynb
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12_Factor-Graphs-and-Message-Passing-Algorithms.ipynb
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13_Dynamic-Latent-Variable-Models.ipynb
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14_EM-as-Message-Passing.ipynb
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extras.ipynb
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