Vectors | Chapter 1, Essence of linear algebra

The 3B1B series on Linear Algebra is by far the most welcoming and informative introduction to the topic I've ever seen: [VIDEO]

3Blue1Brown has a great series on Linear Algebra. His explanations are so clear that by the 2nd or 3rd video you'll already understand how it applies to computer graphics. [VIDEO]

3Blue1Brown's Essence of linear algebra series is the go to place for learning this material. I've included the link to the series below so people don't get lost in all his other wonderful videos along the way. [VIDEO]

If you want to get an intuitive, visual understanding of linear algebra -- including eigenvectors/eigenvalues -- 3blue1brown's playlist on the subject is just ... perfect. [VIDEO]

This is ok but nothing is as intuitive as 3B1B's series on YouTube that has been posted hundreds of times on HN [0]. Linear algebra is really about linear transformations of vector spaces, which is not captured in this blog post. [0] [VIDEO]

I strongly recommend 3blue1brown's intro to linear algebra[0] for quick intuitions, followed by Gilbert Strangs MIT Open Course[1][2] for (much) deeper detail. Strang is a genius, but Sanderson's graphics and intuitions can be helpful early on. [0] [VIDEO] [1] [LINK] [2] [LINK]

For anyone wondering what 3Blue1Brown is, it's a top Youtube channel with very nicely made explanatory videos for math. The videos on linear algebra in particular are worth it, especially if you do any sort of machine learning: [VIDEO] . The author of the channel is Grant Sanderson. He has recently given a talk at SIGGRAPH 2021: [LINK] . As part of developing his Youtube channel, he has written and open-sourced manim, a library for programatically generating animations written in Python: [LINK] .

Here's another vote for 3Blue1Brown's series on linear algebra [1]. Spending a few hours on this series will easily save you dozens of hours when going through a comprehensive LA textbook. [1] [VIDEO]