Event
Embracing Noise: How Data Corruption Can Make Models Smarter
2026-05-04 ยท 5:30 PM
Spark Coworking St. Louis
Event photos
About this event
Machine learning is often built on the assumption of clean, high-quality data. In reality, data is messy, incomplete, and noisy.
This session explores a powerful idea: introducing controlled corruption during training can improve robustness, reduce overfitting, and help models perform better in real-world conditions.
Agenda
- Meet & Greet, networking, introductions
- Talk + Q&A
- Wrap-up