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Bayesian Analysis with Python - Second Edition: Introduction to statistical modeling and probabilistic programming using PyMC3
Osvaldo Martin
Paperback. Packt Publishing - ebooks Account 2018-11-08.
ISBN 9781789341652
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Förlagets beskrivning
Explore fundamentals of Bayesian inference and applications of Bayesian modeling for probabilistic machine learning.Key FeaturesTake a practical approach to Bayesian modeling and explore its best practices using PyMC3Perform Bayesian analysis for Gaussian and Markov processesBuild generalized models to solve challenges in classification and regressionBook Description
The second edition of Bayesian Analysis with Python covers the core concepts of Bayesian statistics and demonstrates how to apply them to data science.
The book starts with an introduction to Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library. You'll take a practical computational approach over a mathematical one.
Once you've got to grips with the basics, you'll understand synthetic and real datasets, which are used to explain the fundamentals of the Bayesian approach, and be introduced to several types of models such as generalized linear models for regression and classification, mixture models, hierarchical models, and the Gaussian process, among others.
By the end of the book, you will have thoroughly studied probabilistic modeling and will be able to design and implement your own Bayesian models with PyMC3 for various data science tasks.What you will learnBuild probabilistic models using the Python library PyMC3Acquire the skills required to sanity check models and modify themUnderstand the advantages of hierarchical modelsFind out how different models can be used to answer different data analysis questionsDetect faults in models and choose between alternative modelsDiscover the connections between statistics and machine learningThink probabilistically and benefit from the flexibility of the Bayesian frameworkWho This Book Is For
Bayesian Analysis with Python is for you if you are a data scientist, researcher, or developer looking to get started with Bayesian data analysis and probabilistic programming. Although you need not have any previous statistical knowledge, some experience in using Python is expected
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Bayesian Analysis with Python
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