Join us May 16, Fri, 1pm-5pm AEST, for a 4 hour workshop online via Zoom, where we'll introduce the fundamentals of Bayesian networks (BNs), including directed acyclic graphs (DAGs) and causal models, with practical examples in Netica. The workshop will include sessions on:
- BN basics: Probabilities, Bayes Theorem, nodes, arcs, DAGs, CPTs and reasoning
- BN software introduction: Introduction to commonly used BN software, such as Netica and GeNIe
- Parameters: Working with experts and data to parameterise a BN
- Evaluation: Avoiding common mistakes and testing BN behaviour and performance
You won't need any prior knowledge of BNs or BN software, but you may want to follow along with a free trial version of Netica or GeNIe. The workshop will provide simple examples and clear explanations to help you apply BNs and BN concepts to your own projects.
Cost: $AUD35 for all BNMA members.
You will need a BNMA membership to attend (membership is $AUD50 or free for students). To sign up or check your BNMA membership, please visit: https://bnma.co/membership/ and choose 'Sign up' or 'Login'. Then be sure to purchase your ticket for the workshop here on EventBrite. We'll send you details on how to attend (including the Zoom link) closer to the date.
We look forwarding to seeing you there!
About the instructors:
- Dr Owen Woodberry is a Director and Senior Consultant at Bayesian Intelligence. He has worked in Bayesian networks since 2003, when he completed an honours project on developing a model of native fish populations in the Goulburn Broken Catchment, Victoria. He specializes in ecological models, knowledge engineering BNs, teaching and support tool development.
- Dr Steven Mascaro is a Director and Senior Consultant at Bayesian Intelligence. He began working with BNs in 2006, contributing to the development of Monash University's BN-based poker playing bot. He specializes in machine learning BNs, data mining, computer simulation and BN automation tools.
