Martin, Osvaldo
Bayesian Analysis with - Python - Second Edition: - Introduction to statistical - modeling and probabilistic - programming using PyMC3 and - ArviZ
- ISBN 13:
- 9781789341652
- author:
- Martin, Osvaldo
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2018
- Pages:
- 356
- Dimensions:
- 23.5 x 19.1 x 1.9 centimetres (0
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 4 working days
Description
Bayesian Analysis with Python introduces the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3 and ArviZ. This second edition guide covers Bayesian statistics using a modern, practical, and computational approach, covering topics such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes. You'll learn how to design and implement Bayesian models for your own data science problems using synthetic and real data sets. By the end of the book, you'll have a working knowledge of probabilistic modeling and be better prepared to delve into more advanced material or specialized statistical modeling if needed. This book is ideal for those looking to develop their skills in Bayesian analysis with Python, providing a tutorial approach with sample problems and practice exercises to help you put your new skills into practice.
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