Harnessing Conditional Tabular Generative Adversarial Networks (CTGAN) for Engineering Research: Solving Data Limitations with AI
February 5 at 12:00 pm - 1:00 pm
If you are a researcher or student in a data-limited field, this workshop on Conditional Tabular Generative Adversarial Networks (CTGAN) is for you. CTGAN is a cutting-edge data augmentation tool that creates realistic synthetic data, which enables us to build larger and more reliable datasets and expand our research potential. In this two-part workshop, we’ll start by covering the basics of CTGAN and its practical applications, then move into a hands-on experience to generate synthetic data for real-world example. Ultimately, this workshop will equip you with practical skills to apply CTGAN in your own projects. It is open to undergraduates, graduate students, and postdocs.
This workshop will be held in 2 parts taking place on February 5 and 6, 12pm-1pm.
This workshop is part of the Research Excellence Workshop Leader Initiative (REWLI). Learn more and see the full list of offerings.
Questions? Contact the Centre for Scholarly Communication at csc.ok@ubc.ca.
Questions? Contact the Centre for Scholarly Communication at csc.ok@ubc.ca.
