Probabilistic Programming Primer
by
Peadar Coyle
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Probabilistic Programming Primer
A course by Peadar Coyle, a core
PyMC3
contributor and founder of
Aflorithmic Labs
Buy for £300
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Table of contents
Probabilistic Programming Primer
by
Peadar Coyle
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Contents
Contents
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Introduction
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Introduction
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An Introduction to Probabilistic Programming
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An Introduction to Probabilistic Programming
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A modern Bayesian Workflow.pdf
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A modern Bayesian Workflow.pdf
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Slack Channel Link
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Slack Channel Link
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Github Repository for code
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Github Repository for code
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Hands on introduction to PyMC3
Hands on introduction to PyMC3
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How do I install PyMC3?
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How do I install PyMC3?
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How do I do Bayesian AB Testing? - Probabilistic Programming Primer -
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How do I do Bayesian AB Testing? - Probabilistic Programming Primer -
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Probabilistic Programming Primer: Bayesian Changepoint Detection
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Probabilistic Programming Primer: Bayesian Changepoint Detection
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Bayesian_AB_Testing.ipynb
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Bayesian_AB_Testing.ipynb
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Case Study 1- Bayesian_Changepoint_Detection.ipynb
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Case Study 1- Bayesian_Changepoint_Detection.ipynb
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How to build a Logistic Regression model the Bayesian way
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How to build a Logistic Regression model the Bayesian way
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1.5 - Puppy Steps_version_2.mp4
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1.5 - Puppy Steps_version_2.mp4
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Hands on introduction to PyMC3: Quiz
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Hands on introduction to PyMC3: Quiz
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Notes_on_Chains.pdf
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Notes_on_Chains.pdf
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What is PyMC3 and how do I get started?
What is PyMC3 and how do I get started?
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1. Introduction to PyMC3.ipynb
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1. Introduction to PyMC3.ipynb
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pymc3_compared_deep_learning.pdf
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pymc3_compared_deep_learning.pdf
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ppp_intro_to_pymc3_1
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ppp_intro_to_pymc3_1
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ppp_intro_to_pymc3_1 Edited.mp4
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ppp_intro_to_pymc3_1 Edited.mp4
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ppp_intro_to_pymc3_2 Edited.mp4
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ppp_intro_to_pymc3_2 Edited.mp4
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ppp_intro_to_pymc3_3 Edited.mp4
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ppp_intro_to_pymc3_3 Edited.mp4
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ppp_intro_to_pymc3_4 Edited.mp4
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ppp_intro_to_pymc3_4 Edited.mp4
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ppp_intro_to_pymc3_5_version
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ppp_intro_to_pymc3_5_version
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What is MCMC?
What is MCMC?
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2. Markov Chain Monte Carlo.ipynb
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2. Markov Chain Monte Carlo.ipynb
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3.1_what_is_mcmc.mp4
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3.1_what_is_mcmc.mp4
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3.2_what_is_mcmc.mp4
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3.2_what_is_mcmc.mp4
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3.3 - What is MCMC_version_2.mp4
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3.3 - What is MCMC_version_2.mp4
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3.4 - What is MCMC_version_2.mp4
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3.4 - What is MCMC_version_2.mp4
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3.5 - What is MCMC_version_2.mp4
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3.5 - What is MCMC_version_2.mp4
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3.6 - What is MCMC_version_2.mp4
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3.6 - What is MCMC_version_2.mp4
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Introduction to Theano
Introduction to Theano
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3. Theano.ipynb
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3. Theano.ipynb
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4.1 - Intro to Theano_version_2.mp4
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4.1 - Intro to Theano_version_2.mp4
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4.2 - Intro to Theano_version_2.mp4
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4.2 - Intro to Theano_version_2.mp4
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4.3 - Intro to Theano_version_2.mp4
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4.3 - Intro to Theano_version_2.mp4
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4.4_Intro_to_Theano_version_2.mp4
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4.4_Intro_to_Theano_version_2.mp4
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4.5 - Intro to Theano_version_2.mp4
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4.5 - Intro to Theano_version_2.mp4
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Introduction to Theano: Quiz
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Introduction to Theano: Quiz
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Hierarchical Models (Multilevel models)
Hierarchical Models (Multilevel models)
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5.1 - Rugby Analytics_version_2.mp4
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5.1 - Rugby Analytics_version_2.mp4
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ppp_rugby_analytics_2.mp4
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ppp_rugby_analytics_2.mp4
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ppp_rugby_analytics_3.mp4
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ppp_rugby_analytics_3.mp4
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ppp_self_driving_cars.mp4
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ppp_self_driving_cars.mp4
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5.4 - Self-Driving Cars.mp4
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5.4 - Self-Driving Cars.mp4
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Model building with PyMC3
Model building with PyMC3
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Model Building with PyMC3.ipynb
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Model Building with PyMC3.ipynb
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6.1 - Model Building.mp4
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6.1 - Model Building.mp4
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6.2 - Model Building.mp4
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6.2 - Model Building.mp4
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6.3 - Model Building.mp4
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6.3 - Model Building.mp4
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6.4 - Model Building.mp4
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6.4 - Model Building.mp4
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Other Probabilistic Programming Languages and Tools
Other Probabilistic Programming Languages and Tools
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Rainier
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Rainier
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Pyro
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Pyro
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ppp_rainier.mp4
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ppp_rainier.mp4
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7.1 - Pyro Example.mp4
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7.1 - Pyro Example.mp4
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7.2 - ArviZ.mp4
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7.2 - ArviZ.mp4
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Real world examples of Probabilistic Programming
Real world examples of Probabilistic Programming
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Acknowledgements
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Acknowledgements
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Bayesian Decision Making applied to Supply Chain
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Bayesian Decision Making applied to Supply Chain
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Bayesian Machine Learning
Bayesian Machine Learning
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You finished the course!!!
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You finished the course!!!
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