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The Hamiltonian Monte Carlo Revolution Is Open Source - Probabilistic Programming with PyMC3

Open Data Science via YouTube

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Overview

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This course introduces probabilistic programming with PyMC3 for Bayesian statistical computation. It demonstrates model building and posterior sampling through examples, including Hamiltonian Monte Carlo, and assumes working knowledge of Python but no prior Bayesian statistics.

Syllabus

Introduction
Welcome
Who am I
Download Jupyter Notebook
Download Jupyter Container
Kibo
Kibo Careers
Motivation Examples
Invasion Statistics
Basketball Analytics
Drawing Fouls
Basketball
What is probabilistic programming
What is interesting about probabilistic programming
The Monte Carlo Problem
Using PyMC3
The Game Show
Adding Data
Question
New Bugs
Documentation
Case Study
Last 2 Minute Report
The Model
The Season Factor
Metropolis Hastings
Bayesian Inference
The Curse of Dimensionality
Hamiltonian Monte Carlo
How PyMC3 implements Hamiltonian Monte Carlo
No Uturn Sampler
Good Mixing
Foul Call Rate
Books
Stan
Thank you
Resources

Taught by

Open Data Science

Reviews

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