A visual, animation-driven video series by Grant Sanderson that builds geometric intuition for vectors, linear transformations, matrices, determinants, and eigenvectors. It is meant as an intuition companion rather than a full problem-solving course.

Commenters describe it as a great way to build geometric intuition for linear algebra, with one noting its videos on stats are very digestible.

On Reddit (2)

1. RecommendsSnickypickletonr/learnmachinelearning2020in “Advice for Beginners in ML and Data Science”▲ 1

   First of all, don't be put off by being older than uni age, a lot of people transfer into ml and data science from other careers, there's nothing wrong with it! Looks like you've got the linear algebra part of things covered, which is a major part of ml math, I suggest looking at some stats next…

2. Recommendsram_chrnnr/learnmachinelearning2019in “Do I need to completely understand the mathematics in order to learn machine learning in depth?”▲ 3

   3B1B is great to get a geometrical intuition of Linear Algebra. I'd suggest to solve some problems analytically for a complete understanding of concepts. Prof Gilbert Strang's videos helped me a lot. If you are looking to understand LA through programming, check out fast.ai, I loved their course…

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