How is machine learning used in statistics?
Machine learning is used in statistics to analyze data patterns, make predictions, and improve decision-making processes.
Can you give me an example of a machine learning model used in statistics?
Sure! A common example is linear regression, which predicts a dependent variable based on one or more independent variables.
What are the advantages of using machine learning over traditional statistical methods?
Machine learning can handle large datasets, capture complex relationships, and often provides better predictive accuracy.
Are there any limitations to using machine learning in statistics?
Yes, limitations include the need for large amounts of data, potential overfitting, and the requirement for careful model selection.
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