What role do statistics play in machine learning?

What role do statistics play in machine learning?

Statistics are fundamental in machine learning as they help in understanding data distributions, making inferences, and validating models.

Can you explain some statistical concepts that are important for machine learning?

Sure! Key concepts include probability distributions, hypothesis testing, regression analysis, and statistical significance.

How do I apply these statistical concepts in a machine learning project?

You can apply them by using statistical methods to preprocess data, select features, and evaluate model performance.

What are some common statistical methods used in machine learning?

Common methods include linear regression, logistic regression, decision trees, and Bayesian inference.