📄️ Structural learning Tutorial
In this tutorial we demonstrate the process of structural learning, which uses data to determine potential links for a Bayesian network.
📄️ Function Nodes Tutorial
In this tutorial we will construct the example network Functions, included with Bayes Server, from scratch. Although not required for this tutorial, for reference the Functions network can be opened from the Start Page or from File/Open.
📄️ Causal AI | Optimization Tutorial
In this tutorial we demonstrate the process of evidence optimization where the inputs are interventions.
📄️ Causal AI | Counterfactuals Tutorial
In this tutorial we demonstrate the process of Counterfactual analysis. Counterfactual analysis can also be though of as Causal What If? analysis.