👉 In the context of mathematical functions and models, particularly in machine learning and data analysis, "math" refers to the underlying mathematical concepts, operations, and principles that form the foundation of these tools and techniques. This includes fundamental arithmetic (addition, subtraction, multiplication, division), algebraic operations (solving equations, manipulating expressions), calculus (derivatives, integrals for optimization and modeling), linear algebra (vectors, matrices, transformations), probability and statistics (distributions, inference), and more advanced topics like differential equations and numerical methods. These mathematical elements enable the creation of models that can analyze data, make predictions, and solve complex problems across various fields such as physics, engineering, economics, and computer science.
