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Machine learning in finance utilizes predictive analytics to analyze vast amounts of historical data and identify patterns that inform future trends. By employing algorithms such as regression models, decision trees, and neural networks, financial institutions can forecast stock prices, assess credit risk, optimize trading strategies, and detect fraud. These advanced techniques enhance decision-making by providing more accurate predictions and uncovering hidden insights in financial data.
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