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Math for Machine Learning and LLMs
Recommended resources
The freely available resources this course will direct you to.
Module 2
Vectors: Direction, Distance, and Similarity
Module 3
Matrices and Tensor Shape Thinking
Module 4
Linear Systems, Rank, and Least Squares
Module 5
Eigenvectors, SVD, and Low-Rank Structure
Module 6
Calculus Reboot: Derivatives and Change
Module 7
Multivariable Calculus and Backpropagation
Module 8
Optimization for Training Models
Module 9
Probability Foundations for Predictions
Module 10
Distributions, Statistics, and Data Variation
Module 11
Information Theory, Softmax, and Language-Model Loss
Module 12