Practical probabilistic programming /

Introducing the working programmer to probabilistic programming (PP), this book will teach you how to use the PP paradigm to model application domains and then express those probabilistic models in code. --

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pfeffer, Avi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications Co., [2016]
Temas:
Stochastic programming.
Probabilities > Data processing.
Operations Research.
Civil & Environmental Engineering.
Engineering & Applied Sciences.
Programmation stochastique.
Probabilités > Informatique.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Probabilistic programming in a nutshell
  • A quick Figaro tutorial
  • Creating a probabilistic programming application
  • Probabilistic models and probabilistic programs
  • Modeling dependencies with Bayesian and Markov networks
  • Using Scale and Figaro collections to build up models
  • Object-oriented probabilistic modeling
  • Modeling dynamic systems
  • The three rules of probabilistic inference
  • Factored inference algorithms
  • Sampling algorithms
  • Solving other inference tasks
  • Dynamic reasoning and parameter learning.

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