ML Model Debugging: Visualization is the Key!
Want to understand why machine learning models fail — and how to fix them? This hands-on session dives into practical ML debugging using visualization-driven techniques. Learn how to diagnose hidden model failure patterns, interpret learning curves and confusion matrices, analyze ROC performance, and investigate error patterns before changing model architecture. You’ll build a stronger, more systematic approach to developing reliable ML systems. Led by Sheida Majouni, PhD Candidate in Computer Science at Dalhousie University and AI/ML Lead at DeepSense. March 26, 2026 6:00–8:00 PM Room 143 FREE Register here! https://bit.ly/shiftkey-events
