Cohen, Mike X. <br/><br/>
Practical Linear Algebra for Data Science :  From Core Concepts to Applications Using Python / 

 - USA:   O'Reilly Media press,  2022. 
 - 326p  20.5cm x 27.5cm 
<br/><br/><label>ISBN: </label>9781098120610 
<br/><br/><label>Subjects--Topical Terms: </label><br/>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.
<br/><br/><label>Dewey Class. No.: </label>005.74  / COH-P