Linear Algebra for Machine Learning and Data Science

Overview

What you’ll learn

1. - Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence
2. - Apply common vector and matrix algebra operations like dot product, inverse, and determinants
3. - Express certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problems