Based on our record, MIT OCW: Linear Algebra 18.06 seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 6 months ago
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: 11 months ago
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: 11 months ago
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
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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Calworkshop: Linear algebra - The following video provides an outline of all the topics you would expect to see in a typical College Linear Algebra class (i.
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