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This question already has an answer here:

Can you recommend a good reference for learning linear algebra with an eventual goal of applying tools from matrix theory? I have Axler's Linear Algebra Done Right and Horn&Johnson's Matrix Analysis books, but I am not sure whether to learn matrix theory, I should study linear algebra first; and if that is the case, whether Axler is the best to study.

Any help is appreciated. Thank you.

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marked as duplicate by Namaste linear-algebra Apr 9 '17 at 14:23

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.

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    $\begingroup$ See this question and its answers $\endgroup$ – Namaste Apr 9 '17 at 14:23
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    $\begingroup$ See also this question and its answers for good reference for studying matrix theory $\endgroup$ – Namaste Apr 9 '17 at 14:25
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    $\begingroup$ For more suggestions regarding linear algebra texts, see this $\endgroup$ – Namaste Apr 9 '17 at 14:27
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    $\begingroup$ Please search for reference material on a topic before posting here. You've asked questions, recently, for reference and recommendation for linear algebra (here), but also for "functional analysis" and for algebra, and all three questions were closed as duplicates. I like helping folks with their questions, but not when I have to perform searches, because didn't, prior to posting. $\endgroup$ – Namaste Apr 9 '17 at 14:49
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    $\begingroup$ You might also want to look at this question in which the asker is approaching the end of Strang's text, and looking for a follow-up (part 2) to Strang. You'll find a few recommendations regarding matrix analysis. $\endgroup$ – Namaste Apr 9 '17 at 14:53
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Introduction to Linear Algebra by Prof. Gilbert Strang. It's a masterpiece. http://math.mit.edu/~gs/linearalgebra/

This book is very easy to read and understand with lots of examples and explanations.

This book really helped me understand what really a matrix is.

It helped me understand many machine learning algorithms such as Linear Regression, Minimization of a cost function, Principal Component Analysis, Singular Value Decomposition and much more.

So, I think this book can be a life saver for a Math or CS grad.

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    $\begingroup$ That's a helpful suggestion, but it remains only a suggestion, and not an answer. You essentially link to the book, and provide you opinion about the text, without explanation as to what makes it a good reference. What is it about Strang's text that makes it better than most texts in introducing linear algebra? I agree that Strang's book is very good. But what's lacking is any explanation about its attributes. $\endgroup$ – Namaste Apr 9 '17 at 14:36
  • $\begingroup$ This book is very easy to read and understand with lots of examples and explanations. This book really helped me understand what really a matrix is. It helped me understand many machine learning algorithms such as Linear Regression, Minimization of a cost function, Principal Component Analysis, Singular Value Decomposition and much more, So, I think this book can be a life saver for a Math or CS grad. $\endgroup$ – Gautam Das Apr 9 '17 at 18:02
  • $\begingroup$ I inserted your comment immediately above, so that it enriches your answer post. $\endgroup$ – Namaste Apr 9 '17 at 20:14

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