Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
data. 10. Conclusion In this tutorial, we explored the use of Generative Adversarial Networks (GANs) for financial data augmentation. We learned how GANs can be used to generate synthetic financial time series data that captures the statistical properties of real data, improving the performance of