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Using PyMC3
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Classroom Contents
The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3
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- 1 Introduction
- 2 Welcome
- 3 Who am I
- 4 Download Jupyter Notebook
- 5 Download Jupyter Container
- 6 Kibo
- 7 Kibo Careers
- 8 Motivation Examples
- 9 Invasion Statistics
- 10 Basketball Analytics
- 11 Drawing Fouls
- 12 Basketball
- 13 What is probabilistic programming
- 14 What is interesting about probabilistic programming
- 15 The Monte Carlo Problem
- 16 Using PyMC3
- 17 The Game Show
- 18 Adding Data
- 19 Question
- 20 New Bugs
- 21 Documentation
- 22 Case Study
- 23 Last 2 Minute Report
- 24 The Model
- 25 The Season Factor
- 26 Metropolis Hastings
- 27 Bayesian Inference
- 28 The Curse of Dimensionality
- 29 Hamiltonian Monte Carlo
- 30 How PyMC3 implements Hamiltonian Monte Carlo
- 31 No Uturn Sampler
- 32 Good Mixing
- 33 Foul Call Rate
- 34 Books
- 35 Stan
- 36 Thank you
- 37 Resources
