A Bayes network is a directed acyclic graph in which the links are quantified by fixed conditional probabilities and the nodes represent random variables. The primary use of the network is to provide ...

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...

‘Splaining real math is always tricky because it is almost always counterintuitive. So, short of quantum physics and multi-dimensional tensor calculus what math topic is remarkably tricky to ...