What is the role of statistics in machine learning?
Statistics plays a crucial role in machine learning by providing the tools to analyze data, make predictions, and validate models.
Can you give me some examples of statistical methods used in machine learning?
Sure! Common statistical methods include regression analysis, hypothesis testing, and Bayesian inference.
How do these statistical methods improve machine learning models?
They help in understanding data distributions, identifying relationships, and making informed decisions based on data.
What are some challenges in applying statistics to machine learning?
Challenges include overfitting, underfitting, and ensuring that the statistical assumptions align with the data.
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