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Mathematics for AI/ML

Module 2

Functions, Graphs, Exponentials, and Logarithms

Module 3

Trigonometry, Sequences, and Limits

Module 4

Single-Variable Differential Calculus

Module 5

Vectors, Matrices, and Linear Systems

Module 6

Vector Spaces, Eigenstructure, and Matrix Decompositions

Module 7

Integration and Multivariable Calculus

Module 8

Foundations of Probability

Module 9

Random Variables and Probability Distributions

Module 10

Statistical Inference and Information

Module 11

Optimization for Machine Learning

Module 12

Mathematical Structure of Core AI and ML Models