Careers in Data Analytics - Interpretability and Fairness in AI
–Casa Fuente 434
449 Pacific Street
Monterey, CA 93940 View in Campus Map
Closed to the Public
Daisy Zhou (MIDD ‘12), Co-Founding Partner at Interpretable AI, will discuss the importance of interpretability and fairness of machine learning methods in real-world settings.
-Introduction of cutting-edge research (Optimal Decision Trees) pioneered by her co-founders at MIT; bridging the gap between interpretability and performance.
-See interpretability in action with real-world analytics cases that Interpretable AI has worked on in finance and medicine.
- Sponsored by:
- Ctr for Advising & Career Srvs