Building Purposeful Datasets to Reduce Model Bias & Improve Predictive Accuracy
Time: 9:00 am
day: Conference Day One
Details:
- Learn why retrofitting existing experimental data for model training often introduces intrinsic bias that skews outcomes
- Explore strategies for designing data collection protocols explicitly for machine learning, ensuring consistency and reducing noise
- Understand the importance of resource investment in systematic data generation and where to prioritize for maximum impact
