Prerequisites and Outline
Prerequisites and Outline
Introductory Course
Bayesian Linear Regression
Bayesian Linear Regression
The next steps in your Bayesian exploration
The next steps in your Bayesian exploration
In this section we'll detail the prerequisites and course outline, listed below
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Prerequisites:
Familiarity with PyData stack
Basics of probability
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Outline:
Motivation
How it all fits together
Primer on Probability Distributions
Primer on Bayes Theorem
Overview of Tools: NumPy, PyMC, ArviZ, Aesara
Bayesian Linear Regression
Samplers, Diagnostics, Convergences
Hierarchical Models
Bayesian Workflow