What are the common statistical methods used in machine learning?
Common statistical methods in machine learning include regression analysis, hypothesis testing, and Bayesian inference.
Can you explain regression analysis in more detail?
Sure! Regression analysis helps in predicting a continuous outcome based on one or more predictor variables.
What about hypothesis testing? How is it applied in machine learning?
Hypothesis testing is used to determine if there is enough evidence to support a specific claim about a dataset.
Are there any other methods I should know about?
Yes, methods like clustering, decision trees, and support vector machines are also widely used in machine learning.
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