Articles on Bayesian Theory and Methods

 Good introduction to these methods, including code.   Click through for links to each article.

15 Great Articles about Bayesian Methods and Networks
Posted by Vincent Granville on March 15, 2019

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC.

15 Great Articles about Bayesian Methods and Networks:

An Introduction to Bayesian Reasoning
Basics of Bayesian Decision Theory
How Bayesian Inference Works
Marketing Insight from Unsupervised Bayesian Belief Networks
Bayesian Nonparametric Models
Using Bayesian Kalman Filter to predict positions of moving particles
Naive Bayes Classification explained with Python code
Wheel Of Fortune - Bayesian Inference
Neural Networks from a Bayesian Perspective
A curated list of resources dedicated to bayesian deep learning
A quick introduction to PyMC3 and Bayesian models
Analysis of Perishable Products Sales Using Bayesian Inference
R and Stan: introduction to Bayesian modeling
And Monty Hall Went Bayesian...
Bayesian Probability