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I suddenly got interested in machine learning so i began looking for where to start. After some research i found a book about statistical learning which has to be a good place to begin. I'm about to take my second year in civil engineering and i don't know any matrix algebra. I found out that matrix algebra is a part of linear algebra. I searched for some videos and books on linear algebra and found quite a few of them. I don't know what source to pick so I would appreciate if someone would point me to a good source to learn linear algebra which would help me with mentioned book about statistical learning.

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See Linear Algebra Done Right by Sheldon Axler. There is also a website.

There are many other references. This one is good but difficult. It makes sense if you already have some maths experience to give it a go, and then the beauty of the subject is clear from the beginning.

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If you haven't had any previous exposure to linear algebra, Coding the matrix is a nice introductory textbook. This book has the advantage that you also learn a lot of applications of linear algebra to computer science.

Strang's classic book has more math, but it is still very accessible, and has video lectures through MIT OCW.

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