Introduction to Linear Algebra (The Gilbert Strang Series)

Book turned up on time in excellent condition

You may have heard or found related resources about this book many times before, so do I. But it does help me a lot as I have been stuck in many technical details on machine learning in depth, as I don't fully understand related linear algebra concepts. Besides, this hardcopy one is really good to read.

A must read for everyone who has interest in math and math applications. Great writing , self-explanatory, with hundreds of examples and exercises and well written solutions provided online. Would recommend!

I appreciate the development within the book but sometimes I find the steps are too much for me at 94. However I am coping with it and find the process demanding and satisfying.

I Nearly finish reading this book and all exercises. Though this process is time consuming, it is worth the money and time.

I'm not a mathematician (computer programmer getting into machine learning) and this book (+ the excellent videos via MIT) do a better job of making this subject understandable than any other I've come across.

The Best.

In the sample, all formulas are missing. The full version is just a PDF of the original text without even a TOC, and you cannot add annotations or highlighting - a disaster for a text book. Worst Kindle adoption I have ever seen!

This book takes you step by step into most of linear algebra. Excellent book and professor

Ok, bien reçu

This is one of the best books I have started reading for Linear Algebra. Cause I am starting an M.Sc. in AI study I have searched for a comprehensive and clear introduction to Linear Algebra. Starting looking plenty of Mr. Gilbert Strangs video lessons 18.06 finally I found the best source to remember and improve the understanding of this very important field. In addition, I bought this new version of his LA books and I didn't regret it. One thing I have to mention for all of the people who are interesting to buy this book, too, is to see some of his lessons if you like the teaching style he is using, cause the book uses the same style and sometimes some things are not so clear when you read them first. But if you like it, I believe that this is the best source for Linear Algebra some can get. Conclusion: If you see all the lectures at 18.06 and read this book, you don't need any other sources to get a comprehensive understanding in Linear Algebra.

I never thought that linear algebra is that useful in real life. I was enrolled in a master program and my first course was computer vision. There were massive amount of math and mostly were linear algebra. I felt like I lacked all enough comfort with linear algebra and thought that I could have understood many topics much better if I got a good book. Hell, this book is awesome. It has all what I need specially SVD and PCA. I don't care much about solving problems as to understand the meaning of linear algebra and its logic. I must admit that prior reading this book I had good grasp of what a matrix is and how we can formulate our data as a matrix, which opened the world of applications I can apply all the techniques of linear algebra on. Dr.Gilbert is a man who knows how to deliver high quality information to you, but you as a reader must also have the role of analyzing what you read and try to find an application of interest in your head where you can practice what you read. I looked at 10s of books before deciding to buy this one, and the only book which I felt comfortable with was this one. The only problem is that this book is expensive, but in my opinion, this books deserves every dollar and is a must in any machine lerning, artificial intelligence, computer vision, game programer or any field engineer library

It makes linear algebra very easy to understand.