Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python: Cohen, Mike: 9781098120610: Amazon.com: Books

The purpose of this book is to teach you modern linear algebra. But this is not about memorizing some key equations and slugging through abstract proofs; the purpose is to teach you how to think about matrices, vectors, and operations acting upon them. You will develop a geometric intuition for why linear algebra is the way it is. And you will understand how to implement linear algebra concepts in Python code, with a focus on applications in machine learning and data science. Many traditional linear algebra textbooks avoid numerical examples in the interest of generalizations, expect you to derive difficult proofs on your own, and teach myriad concepts that have little or no relevance to application or implementation in computers.