Statistical machine learning is a field that combines statistical modeling with machine learning techniques. It focuses on building models that can learn from data and make predictions or decisions without being explicitly programmed. Common uses include classification, regression, clustering, and dimensionality reduction, often employed in areas like image recognition, natural language processing, and predictive analytics.
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