aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
In addition to rewriting the code in Chapter 2 to make use of Tensorflow Probability (without any Pymc, scipy, and far less numpy), a lot of the text has been rewritten to reflect how models are built in Tensorflow Probability (using the loss functions, rather than the model interface in pymc)
In addition to rewriting the code in Chapter 2 to make use of Tensorflow Probability (without any Pymc, scipy, and far less numpy), a lot of the text has been rewritten to reflect how models are built in Tensorflow Probability (using the loss functions, rather than the
model
interface in pymc)