What are some effective strategies for retraining machine learning models?

What are some effective strategies for retraining machine learning models?

Effective strategies include incremental learning, transfer learning, and using a diverse dataset for retraining.

Can you explain incremental learning in more detail?

Incremental learning allows models to learn from new data without forgetting previous knowledge, making it efficient.

What are the benefits of transfer learning?

Transfer learning leverages pre-trained models, reducing training time and improving performance on smaller datasets.

How often should I retrain my models?

Retraining frequency depends on data changes; monitor model performance and retrain when accuracy drops significantly.