MIT OCW: Linear Algebra 18.06 mentions (14)

• Linear Algebra Done Right – 4th Edition

  A lot of people think Gil Strang was that. Certainly his 18.06SC lecture series is fabulous.[1] I really like Sheldon Axler and he has made a series of short videos to accompany the book that I think are wonderful. Very clear and easy to understand, but with a little bit more of the intuition behind the proofs etc. [1] https://youtube.com/playlist?list=PL221E2BBF13BECF6C&si=G2XqE-itCFzQt7VE [2]... - Source: Hacker News / 8 months ago

• where to learn linear algebra

  Kahn Academy as well as MIT OCW from Prof. Gill Strang are both excellent resources I have used time and time again. There's nothing wrong with it when you want to get started. I emphasize this to note that you will need to pivot to a textbook for some more formal learning. Source: about 1 year ago

• Math Prerequisites and some other questions.

  Background - So after a bit of researching through this subreddit, I am currently working my way through Linear Algebra and Probability Theory. I also did a stats course as a part of my undergrad, but dont really recall much from that. Besides these, I've also taken a grad intro to AI course, but as you'd expect it covered basic stuff like search, adversarial games, constraint satisfaction, bayesian inference etc. Source: about 1 year ago

• Best place to practice Linear Algebra?

  The MIT OCW by Strang is great. It has problem sets, solutions, and discussion sections in addition to the regular lectures. Source: about 1 year ago

• Ask HN: What are some of the best university courses available online for free?

  Came here to say this. Go through the actual course methodically though - readings, summaries, problems solutions. It's incredible. Miles ahead of coursera equiv. https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/pages/resource-index/. - Source: Hacker News / about 1 year ago

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