Best Linear Algebra Books of 2025

The Ultimate Grade 4 Math Workbook by IXL Learning is a comprehensive guide for 4th graders to learn and practice essential math topics, such as addition, subtraction, multiplication, division, fractions, decimals, measurement, algebra, and geometry. The book features colorful pages with carefully-crafted problems, delightful images, and a variety of fun activities. Moreover, it unlocks online learning resources with specific skill IDs available on the IXL website and mobile app. The book is an excellent resource for classroom or homeschool curriculum and is proven to help every learner succeed. Overall, The Ultimate Grade 4 Math Workbook is an impressive and unique resource for mastering essential math and arithmetic skills.

The Ultimate Grade 5 Math Workbook by IXL is an excellent resource for children aged 10-11 to learn and practice essential math skills. This book covers a wide range of topics, including decimals, fractions, multiplication, long division, geometry, measurement, algebra prep, graphing, and metric units. The colorful pages and fun activities make math exciting and engaging for young learners. Moreover, the book provides access to online learning resources, including interactive questions, instant feedback, and personalized recommendations. IXL has been a trusted leader in math education for over two decades, and this workbook is a testament to their commitment to helping every learner succeed.

This Graph Paper Notebook is a must-have for math and science students. It features a sturdy checkered paper with 5x5 graph-ruled paper, making it perfect for note-taking, sketching, and personal journaling. The elegant and timeless design of the notebook also makes it an excellent choice for gifting. With 110 pages and an ideal size of 8.5" x 11", this notebook is perfect for all office, school, and home applications. Overall, this notebook is a practical and elegant choice for anyone in need of a high-quality graph paper notebook.

This pre-algebra workbook is designed for middle school students (Grades 6-8) and covers a range of topics, including exponents, roots, ratios, negative numbers, coordinate planes, and statistics. It includes an answer key and is a great resource for students looking to prepare for high school math courses. The book is well-organized and easy to follow, with clear explanations and plenty of practice problems to reinforce learning. Overall, this is an excellent resource for students who need to brush up on their pre-algebra skills.

Essential Math for Data Science is a comprehensive guide for mastering the mathematical concepts required to excel in data science, machine learning, and statistics. The book covers a range of topics from calculus to linear algebra, statistics to neural networks, all presented in plain English and with minimal mathematical jargon. It also provides practical insights into the state of data science and how to use those insights to maximize your career. Thomas Nield's relatable approach to technical content makes this book a must-read for anyone looking to improve their skills in data science.

The Math Practice Workbook Grades 6-8 by Brain Hunter Prep is an award-winning workbook that provides comprehensive practice questions covering a wide range of topics encountered in middle school. The workbook is perfect for students in 6th, 7th, and 8th grade and is aligned with all Common Core State Standards. The topics covered in the workbook include arithmetic, algebra, geometry, measurement, probability, and statistics. The workbook is authored by certified elementary school teachers, making it an excellent supplementary resource for students. Overall, the Math Practice Workbook Grades 6-8 is an excellent resource for parents, teachers, and students looking to improve their math skills in middle school.

This quick study reference guide for Algebra is an essential tool for students struggling with the subject at all levels of education. It covers the basic principles of algebra, intermediate algebra, and college algebra courses. The concise and easy-to-understand format of the guide makes it an excellent resource for students who need to quickly review or clarify important concepts. Although the brand is not available, the guide's content speaks for itself, making it a must-have for anyone looking to improve their algebra skills.

Linear Algebra Done Right is a best-selling textbook aimed at undergraduate math majors and graduate students. The author takes a unique approach by focusing on understanding the structure of linear operators on finite-dimensional vector spaces and banishing determinants to the end of the book. The third edition contains major improvements, including more than 300 new exercises and new topics such as product spaces, quotient spaces, and dual spaces. The book is well-written, with clear explanations and interesting exercises. Overall, Linear Algebra Done Right is an excellent resource for anyone interested in linear algebra.

Quantum Mechanics (The Theoretical Minimum) by Leonard Susskind and Art Friedman is a perfect DIY introduction to the math and science of quantum mechanics. The book is a follow-up to the bestselling The Theoretical Minimum, and it presents the theory and associated mathematics of the strange world of quantum mechanics in a crystal-clear and approachable way. Unlike other popularizations, Quantum Mechanics embraces the utter strangeness of quantum logic, providing a tool kit for amateur scientists to learn physics at their own pace. If you want to understand how physicists think about the world, this book is a must-read.

This book, "Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python," is an essential guide for anyone working in computational or technical fields. It provides a modern approach to learning the core concepts of linear algebra as implemented in Python, including their use in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Mike X Cohen, the author, has done an excellent job of explaining the subject in a practical and straightforward way, making it easy for practitioners and students to understand, implement, and adapt various modern analysis methods and algorithms. Overall, this book is an excellent resource for those who want to master the use of linear algebra in modern applications.