March 2016
Intermediate to advanced
456 pages
16h 42m
English
Content preview from Practical Probabilistic ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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List of Listings
Chapter 1. Probabilistic programming in a nutshell
Chapter 3. Creating a probabilistic programming application
Listing 3.1. Abstract Model class
Listing 3.3. LearnedParameters class
Listing 3.4. PriorParameters class
Listing 3.7. The classify method
Listing 3.8. Reasoning component main method
Listing 3.9. Dictionary object
Chapter 5. Modeling dependencies with Bayesian and Markov networks
Listing 5.1. Implementing the general print fault model in Figaro
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.