Synthetic Data Generation

John discusses how synthetic data generation can be used in scenarios with imbalanced datasets, like fraud detection, to enhance model performance by creating additional records in underrepresented categories. The conversation delves into the process of training machine learning models to generate data and its applications in data-scarce domains.