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Bayesian Statistics, a technique that has become very popular for many types of machine learning, starts out with a new view at statistical data: it takes the observed data as fixed, and looks at the likelihood to find certain model parameters. This chapter introduces Bayesian Statistics, and provides a worked example using the Python package “PyMC,” showing how Bayesian Statistics can provide more information than classical statistical modeling.
KeywordsBayesian Statistics Modeling Gaussian Process Prior Odds Python Package Frequentist Interpretation
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