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Short course in Uncertainty Modelling in Artificial Intelligence

Bayesian networks provide a powerful decision-making platform to reason under uncertainty. It has a long history of providing successful Artificial Intelligence (AI) solutions ranging from medical diagnosis to spam filtering to policy assessment. Inherent in Bayesian networks is a graphical representation of the model structure, combined with a probabilistic engine in order to account for uncertainty. This course is focused on industry and applied use of Bayesian networks. Applied researchers and developers in the following fields will benefit from this course: Data science, econometrics, marketing, business intelligence, policy and decision management, risk management, engineering, environmental science and biostatistics .

Registration and enquiries:
Course coordinator
Getrude Hlungwani
Tel: +27 (0)12 434 2569
Email: getrude.hlungwani@enterprises.up.ac.za

http://www.ce.up.ac.za/Course?tabid=58&Course=5a1cd887-91d3-e911-9514-00...

Date: 
Monday, November 25, 2019 - 08:00
Location: 
University of Pretoria