Mathematics for AI Overview

The math foundations every other section on this site builds on.

• Linear Algebra — vectors, matrices, eigenvalues, SVD
• Calculus & Optimization — gradients, backpropagation, Adam and friends
• Probability & Statistics — distributions, Bayes' theorem, cross-entropy, hypothesis testing
• Algorithms & Data Structures — Big-O, core data structures, complexity of ML algorithms

See the roadmap for the full ordered path through this section.