Practical probabilistic programming

Practical probabilistic programming

by Pfeffer, Avi

Type Book
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Part 1. Introducing probabilistic programming. 1. Probabilistic programming in a nutshell -- 2. A quick Figaro tutorial -- 3. Creating a probabilistic programming application -- 4. Probabilistic models and probabilistic programs -- 5. Modeling dependencies with Bayesian and Markov networks -- 6. Using Scale and Figaro collections to build up models -- 7. Object-oriented probabilistic modeling -- 8. Modeling dynamic systems -- 9. The three rules of probabilistic inference -- 10. Factored inferen…

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Title Statements

  • Full title :Practical probabilistic programming / Avi Pfeffer

Summary

Part 1. Introducing probabilistic programming. 1. Probabilistic programming in a nutshell -- 2. A quick Figaro tutorial -- 3. Creating a probabilistic programming application -- 4. Probabilistic models and probabilistic programs -- 5. Modeling dependencies with Bayesian and Markov networks -- 6. Using Scale and Figaro collections to build up models -- 7. Object-oriented probabilistic modeling -- 8. Modeling dynamic systems -- 9. The three rules of probabilistic inference -- 10. Factored inference algorithms -- 11. Sampling algorithms -- 12. Solving other inference tasks -- 13. Dynamic reasonin and parameter learning

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Edition Statements

  • Publication Date:2016

Publication Statements

  • Publisher(s):Manning
  • Place of Publication:Shelter Island, NY
  • Language:eng
  • Publication Date:2016

The Physical Object

  • Description:xxv, 427 Seiten : Diagramme

Edition Identifiers

  • ISBN:9781617292330, 1617292338
  • oclc:ocn951516129
  • LC Classification:T57.79

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