as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
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what are the main differences between deep learning and traditional machine learning models?
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the main differences between deep learning and traditional machine learning models are the levels of abstraction they employ. deep learning models remove the need for feature engineering by creating hierarchical layers of abstraction and processing raw data to extract patterns, while traditional machine learning models require the use of hand-crafted features. additionally, deep learning models are more accurate than traditional machine learning models.
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