Math for AI
The mathematics that powers machine learning and deep learning — taught intuition-first with runnable NumPy code, then the formulas. Linear algebra, calculus, probability & statistics, optimization, information theory, discrete math, and the math behind neural networks, transformers & LLMs. No PhD required.
Linear AlgebraCalculusProbability & StatisticsOptimizationInformation TheoryMath Behind Neural Nets & LLMs
28 Concepts
Beginner (7)
→Intermediate (11)
→Advanced (10)
High-School Refresher
3 conceptsLinear Algebra
7 conceptsScalars, Vectors, Matrices & Tensors
Vector Operations & the Dot Product
Matrix Multiplication — the Engine of Neural Nets
Transpose, Identity & Inverse Matrices
Linear Transformations & Geometric Intuition
Eigenvalues & Eigenvectors
Singular Value Decomposition (SVD)