Machine learning in data analysis refers to the application of algorithms and statistical models to analyze and draw insights from large sets of data, enabling systems to learn and improve from experience without explicit programming. This approach is increasingly utilized to identify patterns, predict outcomes, and make decisions based on historical data, significantly enhancing the accuracy and efficiency of data interpretation.
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