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Mighty Networks MIT OCW: Linear Algebra 18.06No MIT OCW: Linear Algebra 18.06 videos yet. You could help us improve this page by suggesting one.
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Based on our record, MIT OCW: Linear Algebra 18.06 should be more popular than Mighty Networks. 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 huge unmet demand currently exists for a social network which is based on the social graph, instead of the content graph, and which is pre-enshittification*" I would argue this hasn't disappeared, but merely moved. There's a number of other platforms people are using for seeking a certain social graph - Mighty Networks ( https://mightynetworks.com ), Hylo ( https://hylo.com ), a number of others. - Source: Hacker News / 4 months ago
If you want to quickly spin up a niche online community easily there isn't a way to do so currently. There are things like mightynetworks.com, circle.so but they charge huge amount and are audience based platforms and not where everybody contributes. Source: almost 2 years ago
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
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
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
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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Lemma: Linear Algebra - Learning Resources and Education