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