Probabilistic Programming in Python

Probabilistic Programming in Python

EuroPython Conference via YouTube Direct link

Introduction

1 of 16

1 of 16

Introduction

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Classroom Contents

Probabilistic Programming in Python

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  1. 1 Introduction
  2. 2 Machine Learning
  3. 3 Open Box
  4. 4 Be Testing
  5. 5 Simulation
  6. 6 Maximum likelihood estimate
  7. 7 Frequent of Statistics
  8. 8 Based Formula
  9. 9 Random Variable
  10. 10 Chain Monte Carlo
  11. 11 MCMC Sampling
  12. 12 High MC3
  13. 13 Uncooled Model
  14. 14 Fully Pooled Model
  15. 15 Partially Hierarchical Model
  16. 16 PartialHierarchical Model

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