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Plate Notation and Datasets in TensorFlow Probability
Machine Learning & Simulation
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Introduction to Directed Graphical Models | Implementation in TensorFlow Probability
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Posterior & MAP for the Categorical | Full Derivation | example in TensorFlow Probability
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Topic Modeling - Plate Notation (Diagrammatic Representation)
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Gaussian Mixture Model | Intuition & Introduction | TensorFlow Probability
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TensorFlow Probability: Learning with confidence (TF Dev Summit '19)
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"Tensorflow Probability" by Melinda Thielbar - Research Triangle Analysts
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2021-03 - Recommendations via TensorFlow Probability - Eoin Hurrell
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Marginal for the Bernoulli | Introduction to Intractability
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6.4 General linear model: Models with one predictor variable
Guillermo Campitelli
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