Linear Algebra

Coming soon — this chapter will cover vectors, matrices, eigenvalues, and the geometric intuition behind linear transformations.

Overview

Linear algebra is the language of machine learning. From representing data as vectors and matrices to performing dimensionality reduction and solving systems of equations, almost every modern ML technique stands on its shoulders.

What you’ll learn

• Vectors, vector spaces, and basis
• Matrices and linear transformations
• Eigenvalues, eigenvectors, and decompositions
• Why these objects matter in practice