[bobo123]

This is great - I've been looking for a good series to have on hand when I want to dive deeper into a math field on an as-needed basis. For example, the Linear Algebra one could be really useful if I decide to get deeper into any Machine Learning stuff - http://link.springer.com/book/10.1007/978-1-4612-1670-4

It's possible to do things with statistics/ML even without having the greatest grasp on linear algebra, but it sure would help to have a firmer foundation. Thanks!

[Ductapemaster]

Although I have not read that book, for linear algebea I would highly recommend Gilbert Strang's book. It's one of the few textbooks for which I would pay full price, even today. Also, his lectures are available on youtube from MIT, and he's quite good.

[oddsignals]

If you read German, his "Lineare Algebra" was published by Springer in 2003:

http://link.springer.com/book/10.1007/978-3-642-55631-9

[bojo]

Seems the only version of this book on Springer is in German :(