Linear Algebra for Machine Learning and Data Science

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