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Math for Machine Learning and LLMs

Module 2

Functions, Graphs, and Growth You Can See

Module 4

Matrices as Tables and Transformations

Module 5

Solving Constraints and Fitting Straight Lines

Module 6

Derivatives Through Speed, Slopes, and Change

Module 7

Gradients and Backpropagation as Downhill Movement

Module 8

Learning by Reducing Prediction Error

Module 9

Probability Through Everyday Uncertainty

Module 10

Statistics and Distributions Through Real Data

Module 11

From Surprise to Language-Model Loss

Module 12

Building Transformer Attention from Simple Math