The Little Book of Linear Algebra: A Concise Introduction

This concise introduction to linear algebra starts with scalars and vectors, building up to vector addition, scalar multiplication, dot product, norms, and angles. It then delves into matrices, linear systems of equations, linear transformations, eigenvalues, and eigenvectors, illustrating each concept with examples and exercises. The book emphasizes the geometric interpretation of linear algebra and shows its applications in computer graphics, data science, and machine learning.