Mathematics is not just a supporting tool for machine learning — it is the language in which these models are written, trained, and understood.Linear algebra provides the framework for representing and manipulating data in machine learning.Calculus, particularly differential calculus, underpins the learning process in ML by optimizing model parameters.Probability, statistics, and optimization are also essential mathematical domains in machine learning.