#641 on Reddit
Linear Algebra: Foundations to Frontiers
edX
2 recommenders · 2 threads · recommended in 1 year, 2019 · score 2.0
A free edX linear algebra course from UT Austin (LAFF) that teaches linear algebra through matrix computation and the FLAME methodology, with code exercises for applying the concepts. It is aimed at building a foundation for machine learning and related fields.
Commenters suggest it as the linear algebra course to take alongside a machine learning course, with one calling it useful for applying the math after pairing it with Strang's lectures.
Mathematicsbeginnerfreeinteractive MOOC#linear algebra#matrices#numerical computing#machine learning prerequisites#laff
Recommendations by year
20192019
You are going for a math intensive path. Which is great, as per me. There will be several others who would say it's not really required but I don't agree with that. I would recommend that you also try to go through Gilbert Strang's Linear Algebra course along with LAFF. Strang will help a bit more…
I too was a beginner over two-three months ago. In my experience, it would be best to do probability and statistics on Khan Academy, and then do this linear algebra course on Edx called LAFF (Linear Algebra Foundations to Frontiers). Also, if you do an introductory machine learning course, it…
Check out this machine learning course on Coursera. It started a few weeks ago and the first problem set is due on July 19th. The assignments have to be submitted in MATLAB or Octave though. There is also a course on edX and one on Udacity. The prerequisites on listed on those courses should give…