Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is unavailable or insufficient. Synthetic Data can improve model accuracy and reduce privacy concerns when handling sensitive data.
Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…