[r/ML] Retraining vs Fine-tuning or Transfer Learning? [D]

Summary

An e-commerce project uses XGBoost for user intent, price sensitivity, and segmentation, complemented by bandit algorithms for recommendations. The central question is whether to fully retrain these models daily with new data or to employ fine-tuning or transfer learning techniques for updates.

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