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
Source for picture: YouTube
Other DSC Resources
- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Deep Analytical Thinking and Data Science Wizardry
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions