Lec 1 | MIT 18.06 Linear Algebra, Spring 2005

I highly recommend the MIT 18.06 open course on linear algebra - the lectures are first rate. I've been going through this as a refresher, in prep for the Stanford machine learning class. Link to the course: [LINK] Link to the YouTube videos of the lectures: [VIDEO]

Useful list. I would recommend adding one more resource for linear algebra/machine learning: I absolutely enjoyed learning Linear Algebra from these beautiful lectures by Prof. Gilbert Strang (MIT): [VIDEO] Seriously, I gained a new found appreciation for Linear algebra after going through these lectures. You should go over some of these lectures even if you already know linear algebra - it might give you insights you never had before (it did, for me). Absolute must-watch if you are into machine learning or related areas.

Gilbert Strang's Linear Algebra course from MIT, available on youtube (3 million views!), and his textbook of the same name are awesome. What a great teacher. [VIDEO]

I did Strang's linear algebra course[0] (link goes to Youtube playlist of lectures) several years after graduating and recommend it highly. I was looking for refresher but I gained a deeper understanding of several important concepts; in particular it's fair to say I barely understood, or perhaps even misunderstood, SVD until Strang. If you're not sure if you need something like that, I suggest doing something like testing yourself on this video[1] or the MIT problem sets[2] it's easy to tell yourself that you "know" linear algebra when it would be closer to the truth to say that you used to know linear algebra, but can't answer even basic questions today. After Strang, Golub's book on Matrix Computations is also really incredible.[3] [0]: [VIDEO] [1]: [LINK] [2]: [LINK] [3]: [LINK]

Love Gilbert Strang's original linear algebra lectures on YouTube [1]. They were a huge help while I took the course. In my opinion, he takes great care to motivate each topic and express his train of thought when working through problems. [1] [VIDEO]

I'm not sure how to pass the clearly understandable Khan academy style test, but Gilbert Strang of MIT has a series of 35 excellent lectures on Linear Algebra, starting here [VIDEO]

Ah but the beauty is that you can read for pleasure knowing that you won't have an exam at the end and trying to work out what your professor thinks is important. If you want to enjoy linear algebra without the pressure of doing any, I can heartily recommend MIT's open coursewear videos featruring Gilbert Strang [VIDEO] In fact all the MIT stuff I have tried is fun to watch

Gilbert Strang's linear algebra [VIDEO] Walter Lewin's Classical Mechanics [LINK] for the content and the delivery