Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
then be combined with the real data to create an augmented dataset. The augmented dataset can be used to train predictive models, such as stock price prediction models or anomaly detection models. By training on a larger and more diverse dataset, these models can potentially achieve better