Machine learning in data analysis refers to the use of algorithms and statistical models that enable computers to perform tasks without explicit instructions, relying on patterns and inference instead. This approach allows for the automatic identification of trends and insights within complex datasets, enhancing decision-making processes across various fields, including physics and astronomy. By utilizing machine learning, researchers can efficiently process large volumes of data and uncover relationships that may not be readily apparent through traditional analytical methods.
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