Agus Sudjianto

Machine Learning for High-Risk Applications in Banking

Renowned statistician George Box once famously stated, “All models are wrong, but some are useful.” In a world where machine learning increasingly automates important decisions about our lives, the consequences of model failures can be catastrophic. It’s critical to take deliberate steps to mitigate risk and avoid unintended harm.



Type of Event:
Industry Day
General event
Colloquium Series

Sarangan Balasubramaniam

sarangan@uga.edu

Ph.D. in Computational Mathematics, University of North Carolina Greensboro, NC, USA;
M.A in Mathematics (Concentration in Data Analytics), University of North Carolina Greensboro, NC, USA;
B.Sc. in Statistics and Operations Research (Honors), University of Peradeniya, Kandy, Sri Lanka;

Subscribe to