Active Learning and Model Evaluation
Laura explains how active learning can be applied to train and retrain models over time, ensuring they adapt to changing circumstances. She also discusses the importance of using a variety of metrics, rather than just accuracy, to evaluate model performance.In this clip
From this podcast
Data Skeptic
NCAA Predictions on Spark
Related Questions