MIT OCW Linear Algebra
What is this?
In late 2011, Stanford ran some free, experimental online classes in machine learning, artificial intelligence and databases. I participated in the ML and AI classes, and found the experience very rewarding. Not just because I learnt some great stuff, but these were topics and lectures that I’ve been meaning to get around to learning for several years.
Because the online classes were so successful in getting me clear out those lectures from my to-do list, I’m going to apply a similar template personally to other classes available online. This one is the MIT linear algebra class that’s available on OCW.
03/02/12Solving Ax = 0, pivot variables, special solutions, solving Ax = b, row reduced form R
02/18/12Transposes, permutations, spaces \(R^n\), column space and nullspace.
02/03/12Multiplication and inverse matricies and factorization into A = LU
01/06/12The geometry of linear equations and elimination with matrices