Author: Vincent Granville

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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