Bayesian textbook list
Exactly what the title says.
bayes
The Unreasonable Effectiveness of Conditional Probabilities
Bayesian AB Testing
Using and choosing priors in randomized experiments.
Bayesian Hierarchical Marketing Mix Modeling in PyMC
Learn how to build MMMs for different countries the right way
Bayesian Product Ranking at Wayfair
Wayfair has a huge catalog with over 14 million items. Our site features a diverse array of products for people’s homes, with product categories ranging from “appliances” to “décor and pillows” to “outdoor storage sheds.” Some of these categories include hundreds of thousands of…
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All i...
Notebook on nbviewer
Check out this Jupyter notebook!
Advanced forecasting using Bayesian diffusion modeling
Applications from cancer to covid-19
Methodology | Papers With Code
Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).
Why you should try the Bayesian approach of A/B testing
The intuitive way of A/B testing. The advantages of the Bayesian approach and how to do it.
Bayesian Inference Algorithms: MCMC and VI
Intuition and diagnostics
Bayesian Bandits explained simply - MLWhiz
There are multiple ways to doing the same thing in Pandas, and that might make it troublesome for the beginner user.This post is about handling most of the data manipulation cases in Python using a straightforward, simple, and matter of fact way.
A Sober Look at Bayesian Neural Networks
by Carles Gelada and Jacob Buckman WARNING: This is an old version of this blogpost, and if you are a Bayesian, it might make you angry. Click here for an updated post with the same content. Context: About a month ago Carles asserted on Twitter that Bayesian Neural Networks…
Bayes’s theorem, and making probability intuitive
What is it to be Bayesian? The (pretty simple) math modelling behind a Big Data buzzword
Bayesian Inference with Generative Adversarial Network Priors
A blog about Compressive Sensing, Computational Imaging, Machine Learning. Using priors to avoid the curse of dimensionality arising in Big Data.
Cookbook — Bayesian Modelling with PyMC3
Recently I’ve started using PyMC3 for Bayesian modelling, and it’s an amazing piece of software! The API only exposes as much of heavy machinery of MCMC as you need — by which I mean, just the pm.sample() method (a.k.a., as Thomas Wiecki puts it, the Magic Inference Button™)…
A practical explanation of a Naive Bayes classifier
Medallia's text analytics software tool provides actionable insights via customer and employee experience sentiment data analysis from reviews & comments.