While there are many courses and tutorials online, learning from a book is still one of the best ways to greatly improve your skills. Below I have selected top Linear Algebra books.
- 1. No bullshit guide to linear algebra (2017)
- 2. Linear Algebra: Step by Step (2013)
- 3. Linear Algebra with Applications (Classic Version) (5th Edition) (Pearson Modern Classics for Advanced Mathematics Series) (2018)
- 4. The Manga Guide to Linear Algebra (2012)
- 5. Linear Algebra (Dover Books on Mathematics) (1977)
- 6. Linear Algebra For Dummies (2009)
- 7. Schaum’s Outline of Linear Algebra, Sixth Edition (Schaum’s Outlines) (2017)
- 8. 3,000 Solved Problems in Linear Algebra (1989)
- 9. Numerical Linear Algebra (1997)
- 10. Linear Algebra (2017)
- 11. A Bridge to Linear Algebra (2019)
- 12. Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural … Learning In Python (Computer Networking Easy) (2019)
- 13. Differential Equations and Linear Algebra (Classic Version) (2nd Edition) (Pearson Modern Classics for Advanced Mathematics Series) (2017)
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1. No bullshit guide to linear algebra (2017)
Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, economics, quantum mechanics, and countless other applications. Indeed, linear algebra offers a powerful toolbox for modelling the real world. The NO BULLSHIT GUIDE TO LINEAR ALGEBRA shows the connections between the computational techniques of linear algebra, their geometric interpretations, and the theoretical foundations. This university-level textbook contains lessons on linear algebra written in a style that is…
2. Linear Algebra: Step by Step (2013)
Linear algebra is a fundamental area of mathematics, and is arguably the most powerful mathematical tool ever developed. It is a core topic of study within fields as diverse as: business, economics, engineering, physics, computer science, ecology, sociology, demography and genetics. For an example of linear algebra at work, one needs to look no further than the Google search engine, which relies upon linear algebra to rank the results of a search with respect to relevance. The strength of the text is in the large number of examples and the step by step explanation of each topic as it is introduced. It is compiled in a way that allows…
3. Linear Algebra with Applications (Classic Version) (5th Edition) (Pearson Modern Classics for Advanced Mathematics Series) (2018)
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. Offering the most geometric presentation available, emphasizes linear transformations as a unifying theme. This elegant textbook combines a user-friendly presentation with straightforward, lucid language to clarify and organize the techniques and applications of linear algebra. Exercises and examples make up the heart of the text, with abstract exposition kept to a minimum. Exercise sets are broad and varied and reflect the…
4. The Manga Guide to Linear Algebra (2012)
Reiji wants two things in life: a black belt in karate and Misa, the girl of his dreams. Luckily, Misa’s big brother is the captain of the university karate club and is ready to strike a deal: Reiji can join the club if he tutors Misa in linear algebra.Follow along in The Manga Guide to Linear Algebra as Reiji takes Misa from the absolute basics of this tricky subject through mind-bending operations like performing linear transformations, calculating determinants, and finding eigenvectors and eigenvalues. With memorable examples like miniature golf games and karate tournaments, Reiji transforms abstract…
5. Linear Algebra (Dover Books on Mathematics) (1977)
In this volume in his exceptional series of translations of Russian mathematical texts, Richard Silverman has taken Shilov’s course in linear algebra and has made it even more accessible and more useful for English language readers.Georgi E. Shilov, Professor of Mathematics at the Moscow State University, covers determinants, linear spaces, systems of linear equations, linear functions of a vector argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, unitary spaces, quadratic forms in Euclidean and unitary spaces, finite-dimensional…
6. Linear Algebra For Dummies (2009)
Does linear algebra leave you feeling lost? No worries this easy-to-follow guide explains the how and the why of solving linear algebra problems in plain English. From matrices to vector spaces to linear transformations, you'll understand the key concepts and see how they relate to everything from genetics to nutrition to spotted owl extinction….
7. Schaum’s Outline of Linear Algebra, Sixth Edition (Schaum’s Outlines) (2017)
Tough Test Questions? Missed Lectures? Not Enough Time? Textbook too Pricey?Fortunately, there’s Schaum’s. This all-in-one-package includes more than 600 fully-solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 25 detailed videos featuring math instructors who explain how to solve the most commonly tested problems–it’s just like having your own virtual tutor! You’ll find everything you need to build confidence, skills, and knowledge for the highest score possible.More than 40 million students have trusted Schaum’s…
8. 3,000 Solved Problems in Linear Algebra (1989)
Students love Schaum’s Solved Problem Guides because they produce results. Each year, thousands of students improve their test scores and final grades with these indispensable guides. Get the edge on your classmates. Use Schaum’s! If you don’t have a lot of time but want to excel in class, use this book to: #129,921 in Books (See Top 100 in Books) #200 in Algebra & Trigonometry #846 in Study Guides (Books) #48 in Linear Algebra (Books) Would you like to ?If you are a seller for this product, would you like to ?…
9. Numerical Linear Algebra (1997)
This is a concise, insightful introduction to the field of numerical linear algebra. The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader’s view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for systems of equations and eigenvalue problems and the underlying principles of conditioning and stability. Presentation is in the form of 40 lectures,…
10. Linear Algebra (2017)
The approach is developmental. Although it covers the requisite material by proving things, it does not assume that students are already able at abstract work. Instead, it proceeds with a great deal of motivation, many computational examples, and exercises that range from routine verifications to (a few) challenges. The goal is, in the context of developing the usual material of an undergraduate linear algebra course, to help raise each student's level of mathematical maturity. #220,422 in Books (See Top 100 in Books) #335 in Algebra & Trigonometry #76 in Linear Algebra (Books) Would you…
11. A Bridge to Linear Algebra (2019)
The book makes a first course in linear algebra more accessible to the majority of students and it assumes no prior knowledge of the subject. It provides a careful presentation of particular cases of all core topics. Students will find that the explanations are clear and detailed in manner. It is considered as a bridge over the obstacles in linear algebra and can be used with or without the help of an instructor.While many linear algebra texts neglect geometry, this book includes numerous geometrical applications. For example, the book presents classical analytic geometry using concepts and methods from linear algebra, discusses…
12. Data Science From Scratch: Ultimate Guide To Master Data Mining And Data-Analytic From Linear Algebra And Statistics To Practical Examples Of Neural … Learning In Python (Computer Networking Easy) (2019)
Buy the Paperback version of this book, and get the Kindle eBook version included for FREEDo you want to know all about data science? Do you really want to understand why it is the future in all the most demanding job?The truth is: Data science is the need of the hur. Over the last few years, it has changed the concept of technology. It is adding value to every model of business by using deep learning and statistics. Technological benefits of data science cannot also be ignored.The demand for data science is increasing rapidly. The basic reason behind this is the massive boom in the data generated and…
13. Differential Equations and Linear Algebra (Classic Version) (2nd Edition) (Pearson Modern Classics for Advanced Mathematics Series) (2017)
For sophomore-level courses in Differential Equations and Linear Algebra. This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. Extensively rewritten throughout, the 2nd Edition of this flexible text features a seamless integration of linear algebra into the discipline of differential equations. Abundant computer graphics, IDE interactive illustration software, and well-thought-out problem sets make it an excellent choice for either the combination DE/LA…
Best Linear Algebra Books You Should Enjoy
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Genesis and download some linear algebra books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
Linear Algebra and Its Applications
Author(s): David C. Lay, Steven R. Lay, Judi J. McDonald
ID: 1401084, Publisher: Pearson Education, Year: c2016, Size: 32 Mb, Format: pdf
Instructor Solutions Manual (ISM) for Linear Algebra and Its Applications
Author(s): Thomas Polaski, Judith McDonald (David C. Lay)
ID: 1330496, Publisher: Pearson Education, Year: c2012, Size: 8 Mb, Format: pdf
Galois Theory and Advanced Linear Algebra
Author(s): Rajnikant Sinha
ID: 2455871, Publisher: Springer, Year: 2020, Size: 3 Mb, Format: pdf
Please note that this booklist is not absolute. Some books are absolutely hot items according to Los Angeles Times, others are drafted by unknown writers. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant books you could recommend? Drop a comment if you have any feedback on the list.