Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling

Bayesian Analysis with Python is a comprehensive guide to modern Bayesian statistical modeling using state-of-the-art Python libraries like PyMC, ArviZ, Bambi, and more! Learn from one of the book's contributors and seasoned Bayesian modelers.

Gain practical experience through step-by-step guidance and sample problems.

This fully updated edition includes new topics such as Bayesian additive regression trees (BART), variable selection, and prior elicitation.

By the end of this book, you will have a working knowledge of probabilistic modeling and be able to design and implement Bayesian models for your own data science problems.

Don't miss out on this opportunity to master Bayesian analysis with Python!