15 Great Articles about Bayesian Methods and Networks

15 Great Articles about Bayesian Methods and Networks


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 

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