Bayesian nightmare. Solved!

Gentle introduction to Bayesian data analysis by examples and code in Python PyMC3.

Michel Kana, Ph.D
Towards Data Science
12 min readOct 12, 2019

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In this article, we provide a gentle and practical throughway to become at ease with Bayesian machine learning. Bayesian concepts such as priors, generative model, posterior distribution, Bayes theorem, credible intervals are introduced under the light of practical examples and illustrations. You will be applying the Bayesian approach to estimate signup rate in a marketing campaign using Python. Whereas the 20th century was dominated by null…

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