Top 8 Open Source Tools For Bayesian Networks

Bayesian Network, also known as Bayes network is a probabilistic directed acyclic graphical model, which can be used for time series prediction, anomaly detection, diagnostics and more. In machine learning, the Bayesian inference is known for its robust set of tools for modelling any random variable, including the business performance indicators, the value of a regression parameter, among others. This method is also known as one of the best approaches to modelling uncertainty. In this article, we list down the top eight open-source tools for Bayesian Networks. Bayesian inference Using Gibbs Sampling or BUGS is a software package for the Bayesian analysis of statistical models by utilising the Markov chain Monte Carlo techniques.