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The Resource Practical probabilistic programming, Avi Pfeffer

Practical probabilistic programming, Avi Pfeffer

Label
Practical probabilistic programming
Title
Practical probabilistic programming
Statement of responsibility
Avi Pfeffer
Creator
Author
Subject
Language
eng
Cataloging source
YDXCP
http://library.link/vocab/creatorName
Pfeffer, Avi
Illustrations
illustrations
Index
index present
LC call number
T57.79
LC item number
.P44 2016
Literary form
non fiction
http://library.link/vocab/subjectName
  • Stochastic programming
  • Figaro (Computer program language)
  • Probabilities
Label
Practical probabilistic programming, Avi Pfeffer
Instantiates
Publication
Copyright
Note
Includes index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
24 cm
Extent
xxvii, 427 pages
Isbn
9781617292330
Lccn
2016301895
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • ocn910773341
  • (OCoLC)910773341
Label
Practical probabilistic programming, Avi Pfeffer
Publication
Copyright
Note
Includes index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
24 cm
Extent
xxvii, 427 pages
Isbn
9781617292330
Lccn
2016301895
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
  • ocn910773341
  • (OCoLC)910773341

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