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Recent advances in machine learning have greatly impacted quantitative finance, with techniques such as deep learning, reinforcement learning, and generative adversarial networks being used for time series forecasting, algorithmic trading, and synthetic data generation. Additionally, explainable AI methods have been developed to aid in model interpretation and decision-making processes.