Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ /

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The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Martin, Osvaldo (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2018.
Edición:Second edition.
Temas:
Python (Computer program language)
Natural language processing (Computer science)
Bayesian statistical decision theory.
Natural Language Processing
Python (Langage de programmation)
Traitement automatique des langues naturelles.
Théorie de la décision bayésienne.
Bayesian statistical decision theory
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
  • Dedication
  • Foreword
  • Contributors
  • Table of Contents
  • Foreword
  • Chapter 1: Thinking Probabilistically
  • Chapter 2: Programming Probabilistically
  • Chapter 3: Modeling with Linear Regression
  • Chapter 4: Generalizing Linear Models
  • Chapter 5: Model Comparison
  • Chapter 6: Mixture Models
  • Chapter 7: Gaussian Processes
  • Chapter 8: Inference Engines
  • Chapter 9: Where To Go Next?
  • Other Books You May Enjoy
  • Index.

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