Matrix Transformations

A matrix is a machine that reshapes space. Learn what it does to every point, and you understand the whole transformation.

Build 1.3 hr Python, Julia

Prerequisites: Phase 1, Lessons 01-02 (Linear Algebra Intuition, Vectors & Matrices Operations)

#Learning Objectives

  • Construct rotation, scaling, shearing, and reflection matrices and apply them to 2D and 3D points
  • Compose multiple transformations by matrix multiplication and verify that order matters
  • Compute eigenvalues and eigenvectors of 2x2 matrices from the characteristic equation
  • Explain why eigenvalues determine PCA directions, RNN stability, and spectral clustering behavior
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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.