3-Day Advanced Course in Seattle, WA: Artificial Intelligence with Bayesian Networks & BayesiaLab

Take your BayesiaLab certification to the next level by joining the advanced BayesiaLab course in Chicago. Completing this course brings you to the leading edge of applied research with Bayesian networks. Dr. Lionel Jouffe, CEO of Bayesia, will teach this 3-day course.

The class is limited to a maximum of 15 participants in order to allow for one-on-one coaching during the hands-on exercises with BayesiaLab. This small-group format provides a productive yet informal learning environment that facilitates a lively dialog between participants from a wide range of backgrounds.

Participants in the Advanced Course are required to have completed the Introductory Course on a previous date (see course calendar).

Course Overview

• Manual Modeling with BEKEE
• Probability Table Analysis
• Parameter Sensitivity Analysis
• Function Nodes
• Influence Diagrams
• Dynamic Bayesian Networks
• Bayesian Updating
• Discretization of the Continuous Variables
• Aggregation of the Discrete States
• Missing Values Processing
• Synthesis of New Variables (Manual Synthesis and Data Clustering)
• Fine-Tuning of Learning Algorithms
• Evidence Analysis
• Target Optimization
• Contribution Analysis
• Negative and Disjunctive Inference
• Evidence Instantiation and Evidence Data Weighting