Linear algebra is essential in machine learning for representing data as vectors and matrices.

Calculus is vital in machine learning for optimizing algorithms. It helps in understanding how model parameters should change to minimize errors.

Probability and statistics are crucial in machine learning for understanding data patterns and making predictions.