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Based on our record, Project Euler seems to be a lot more popular than MIT OCW: Linear Algebra 18.06. While we know about 408 links to Project Euler, we've tracked only 14 mentions of MIT OCW: Linear Algebra 18.06. 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.
Project Euler: Solve math and programming puzzles that help you think logically and improve your problem-solving skills. - Source: dev.to / 20 days ago
With this newfound perspective, I embarked on a new path. I decided to tackle problems from Project Euler, solving them at scale and under various constraints. It is my hope that this approach will not only provide practical challenges but also allow me to apply and solidify my programming knowledge in a more engaging way. - Source: dev.to / about 1 month ago
Could solve Project Euler problems in Lua - aka, the easiest programming language to learn https://projecteuler.net/ Alternatively, you could get a homeschool math textbook. They're written differently because the assumption is that the kid is going to have to teach themselves, and as such they are significantly more thorough and easy to understand. I highly recommend them. Don't get the kind that are "workbooks",... - Source: Hacker News / about 1 month ago
Practice Regularly: Utilize coding challenge platforms such as LeetCode and HackerRank to practice coding regularly. Additionally, websites like Project Euler offer mathematical challenges that can sharpen your problem-solving skills. - Source: dev.to / 2 months ago
A coworker used to solve Project Euler[1] problems using SQL while they waited for DB indexes to rebuild or tables to restore from backup in the middle of the night. [1] https://projecteuler.net/. - Source: Hacker News / 4 months 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