What are some common machine learning algorithms used in finance?
Some common algorithms include linear regression, decision trees, random forests, and neural networks.
How do these algorithms improve financial predictions?
They analyze historical data to identify patterns, which helps in making more accurate predictions.
Can you give an example of how a neural network is used in finance?
Sure! Neural networks can be used for credit scoring by analyzing various factors to predict a borrower's creditworthiness.
What are the challenges of using machine learning in finance?
Challenges include data quality, model interpretability, and the risk of overfitting.
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