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ML Techniques Probabilistic Models (Part...
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Common Probability Distributions
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Literature
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What is Machine Learning?
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Data
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Data
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Data
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Continuous
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Examples (Finance)
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Data
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Distributions
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Data
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Data
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Why model these complicated quantities?
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Normal function
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Normal Inverse Gamma Distribution
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Mixture of Gaussians
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Types of covariance
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Bernoulli distribution
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Beta Distribution
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Categorical distribution
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ML approach
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Dirichlet Distribution
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Fitting Probability Models
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Problem
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Solution
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Maximum Likelihood approach
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ML approach
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ML approach
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Maximum a Posteriori approach
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MAP approach
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MAP approach
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MAP approach
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Non-paramatric estimation
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MAP approach
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Bayesian approach
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Bayesian approach
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Bayesian approach
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Prediction and Inference
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Prediction
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Bayesian prediction
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Prediction
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Inference
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Modeling joint Pr(x,w)
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Factorization
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Model Pr(w|x) Discriminative
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Model Pr(w|x) Discriminative
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Model Pr(x|w) Generative
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Model Pr(x|w) Generative
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Model Pr(x|w) Generative
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Model Pr(x|w) Generative
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Which model to use?
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Classification (Discriminative)
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Inference models (Classification)
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Classification (Discriminative)
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Classification (Generative)
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Classification (Generative)
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Classification (Generative)
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Questions
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Financial crisis prediction
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Summary
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Acknowledgments
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Thank You
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