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Bayesian Data Analysis with PyMc
¶
Frequentist approach to learning:
Maximum Likelihood principle
Maximum Likelihood for regression and classification
Introduction into Bayesian Inference with PyMc
(Binominal and Beta distribution)
Bayesian Data Analysis
Categorical data / Multinomial distribution / Dirichlet Prior
MCMC Sampling
Applications, Examples:
A/B Testing
Global Warming
Bayesian Model Comparision: Sturmschäden
Bundesliga Preditor
(Poisson Distribution)
Topic Models
(Latent Dirichlet Allocation)