Probability and Statistics

Probability and statistics are crucial in machine learning for understanding data patterns and making predictions. Probability helps model uncertainty in predictions, while statistics provides tools to summarize and interpret data. Concepts like distributions, mean, variance, and hypothesis testing are used to train models, evaluate performance, and handle uncertainty, ensuring more reliable machine learning outcomes.