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Introduction
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Classroom Contents
An Overview of Probabilistic Programming
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- 1 Introduction
- 2 The newcomers reality
- 3 The experts reality
- 4 The translation problem
- 5 Bayesian Estimates
- 6 Bayes DB
- 7 Capabilities
- 8 Adhoc Inferential Queries
- 9 Model Building Engine
- 10 Metaphor
- 11 Data Analysis
- 12 Design Map
- 13 Computer Graphics
- 14 Measures of Uncertainty
- 15 Picture
- 16 Example Problem
- 17 Probabilistic Languages
- 18 Bayesian Optimization
- 19 Tree Search
- 20 Optimization
