Bayesian Network workshops
Bayesian Network (BN) is an intuitive, graphical representation of a joint probability distribution of a set of random variables with a possible mutual causal relationship.
BN is a machine-learning data analysis technique and BN modelling approach complements the traditional statistical data analysis approach in overcoming the curse of dimensionality and naturally capturing the independence and dependence relationships among model variables. Netica is the most widely used BN software in the world. If you can use Microsoft Word and Excel confidently in your work, you will be able to learn Bayesian Networks using Netica. It is the conditional probability and hierarchical structure matter in modelling a complex real life problem and BN is one of the most suitable and powerful tools to do it.
A 3-day workshop (Wagga campus) on learning and application of Bayesian Network models (Bayes net and decision net models, and Dynamic Bayesian Network models): the workshop is designed/developed for maximizing the hands-on experiences in learning BNs from examples and keep the theoretical preliminary requirements / theoretical exposition to the minimum.
The goal is to establish participants’ ability to build BN models for solving the problems from their research or professional activities.
This is a fee-based workshop.
For the workshop that is run on Wagga campus,
- Cost: $300 (including GST) per person for CSU student and staff, or
- DPI staff; $1,200 (including GST) per person for other participants
- (including morning tea, light lunch, and afternoon tea each day).
For logistics reason, the workshop run on other campuses will be slightly modified to a 2.5-day workshop.
- Cost: $200 (including GST) per person for CSU student and staff, or
- DPI staff; $800 (including GST) per person for other participants
- (morning tea, light lunch, and afternoon tea will be provided for the first two days; morning tea only for the third day).